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2020 – today
- 2025
- [j210]Yongle Kong, Zhihao Yang, Zeyuan Ding, Wenfei Liu, Shiqi Zhang, Jianan Xu, Hongfei Lin:
TR-Net: Token Relation Inspired Table Filling Network for Joint Entity and Relation Extraction. Comput. Speech Lang. 90: 101749 (2025) - [j209]Zhizheng Wang, Yuanyuan Sun, Xiaokun Zhang, Bo Xu, Zhihao Yang, Hongfei Lin:
Continual learning with high-order experience replay for dynamic network embedding. Pattern Recognit. 159: 111093 (2025) - 2024
- [j208]Yufeng Diao, Liang Yang, Shiqi Li, Zhang Hao, Xiaochao Fan, Hongfei Lin:
Detect Sarcasm and Humor Jointly by Neural Multi-Task Learning. IEEE Access 12: 38071-38080 (2024) - [j207]Haiguang Zhang, Yuanyuan Sun, Bo Xu, Hongfei Lin:
LegalATLE: an active transfer learning framework for legal triple extraction. Appl. Intell. 54(24): 12835-12850 (2024) - [j206]Haiguang Zhang, Yuanyuan Sun, Bo Xu, Hongfei Lin:
Correction to: LegalATLE: an active transfer learning framework for legal triple extraction. Appl. Intell. 54(24): 13179 (2024) - [j205]Yuan Lin, Chengxuan Ying, Bo Xu, Hongfei Lin:
Dual cycle generative adversarial networks for web search. Appl. Soft Comput. 153: 111293 (2024) - [j204]Jiedong Wei, Yi-Jia Zhang, Xingwang Li, Mingyu Lu, Hongfei Lin:
Knowledge enhanced attention aggregation network for medicine recommendation. Comput. Biol. Chem. 111: 108099 (2024) - [j203]Fuxi Zhang, Guoming Sang, Zhi Liu, Hongfei Lin, Yi-Jia Zhang:
A doctor's diagnosis experience enhanced transformer model for automatic diagnosis. Eng. Appl. Artif. Intell. 134: 108675 (2024) - [j202]Jing Zhang, Zhi Liu, Yaohua Pan, Hongfei Lin, Yi-Jia Zhang:
IMAEN: An interpretable molecular augmentation model for drug-target interaction prediction. Expert Syst. Appl. 238(Part C): 121882 (2024) - [j201]Bocheng Guo, Di Zhao, Xin Dong, Jiana Meng, Hongfei Lin:
Few-shot biomedical relation extraction using data augmentation and domain information. Neurocomputing 595: 127881 (2024) - [j200]Zeyuan Ding, Zhihao Yang, Hongfei Lin:
A plug-and-play adapter for consistency identification in task-oriented dialogue systems. Inf. Process. Manag. 61(2): 103637 (2024) - [j199]Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen, Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, Dinghao Pan, Jiru Li, Hao Li, Wenduo Feng, Senbo Tu, Yuqi Liu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Hongfei Lin:
Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks. J. Am. Medical Informatics Assoc. 31(9): 1865-1874 (2024) - [j198]Yan Zhang, Zhihao Yang, Yumeng Yang, Hongfei Lin, Jian Wang:
Location-enhanced syntactic knowledge for biomedical relation extraction. J. Biomed. Informatics 156: 104676 (2024) - [j197]Bocheng Guo, Jiana Meng, Di Zhao, Xiangxing Jia, Yonghe Chu, Hongfei Lin:
Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction. J. Biomed. Informatics 157: 104717 (2024) - [j196]Zeyuan Ding, Zhihao Yang, Yinbo Qiao, Hongfei Lin:
KMc-ToD: Structure knowledge enhanced multi-copy network for task-oriented dialogue system. Knowl. Based Syst. 293: 111662 (2024) - [j195]Liang Yang, Zhexu Shen, Jingjie Zeng, Xi Luo, Hongfei Lin:
COSMIC: Music emotion recognition combining structure analysis and modal interaction. Multim. Tools Appl. 83(5): 12519-12534 (2024) - [j194]Dongzhen Wen, Xiaokun Zhang, Yufeng Diao, Ziyun Zhao, He Jiang, Hongfei Lin:
Modeling source code in bimodal for program comprehension. Neural Comput. Appl. 36(22): 13815-13832 (2024) - [j193]Changrong Min, Yonghe Chu, Hongfei Lin, Bolin Wang, Liang Yang, Bo Xu:
Topic-aware cosine graph convolutional neural network for short text classification. Soft Comput. 28(13-14): 8119-8132 (2024) - [j192]Qinyu Han, Zhihao Yang, Hongfei Lin, Tian Qin:
Let Topic Flow: A Unified Topic-Guided Segment-Wise Dialogue Summarization Framework. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2021-2032 (2024) - [j191]Bo Xu, Jinpeng Wang, Zhehuan Zhao, Hongfei Lin, Feng Xia:
Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security. IEEE Trans. Consumer Electron. 70(1): 4062-4072 (2024) - [j190]Yingwen Zhao, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Predicting Protein Functions Based on Heterogeneous Graph Attention Technique. IEEE J. Biomed. Health Informatics 28(4): 2408-2415 (2024) - [j189]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1450-1462 (2024) - [j188]Hui Ma, Jian Wang, Hongfei Lin, Bo Zhang, Yi-Jia Zhang, Bo Xu:
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations. IEEE Trans. Multim. 26: 776-788 (2024) - [j187]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Trans. Inf. Syst. 42(3): 68:1-68:28 (2024) - [c228]Zeyuan Ding, Zhihao Yang, Ling Luo, Yuanyuan Sun, Hongfei Lin:
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue. AAAI 2024: 17907-17914 - [c227]Bo Xu, Xuening Qiao, Hongfei Lin, Linlin Zong:
MPHDetect: Multi-View Prompting and Hypergraph Fusion for Malevolence Detection in Dialogues. CIKM 2024: 4133-4137 - [c226]Jingjie Zeng, Liang Yang, Jiahao Kang, Yufeng Diao, Zhihao Yang, Hongfei Lin:
"Barking up the Right Tree", a GAN-Based Pun Generation Model through Semantic Pruning. LREC/COLING 2024: 2119-2131 - [c225]Bo Xu, Longjiao Li, Wei Luo, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia:
Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling. LREC/COLING 2024: 2318-2328 - [c224]Zeyuan Zeng, Zefeng Li, Liang Yang, Hongfei Lin:
Leveraging Social Context for Humor Recognition and Sense of Humor Evaluation in Social Media with a New Chinese Humor Corpus - HumorWB. LREC/COLING 2024: 10393-10402 - [c223]Junyu Lu, Bo Xu, Xiaokun Zhang, Kaiyuan Liu, Dongyu Zhang, Liang Yang, Hongfei Lin:
Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect. LREC/COLING 2024: 15566-15578 - [c222]Jinzhong Ning, Yuanyuan Sun, Bo Xu, Zhihao Yang, Ling Luo, Hongfei Lin:
Breaking the Boundaries: A Unified Framework for Chinese Named Entity Recognition Across Text and Speech. EMNLP (Findings) 2024: 1250-1260 - [c221]Hongbo Wang, LiMingDa LiMingDa, Junyu Lu, Hebin Xia, Liang Yang, Bo Xu, Ruizhu Liu, Hongfei Lin:
PclGPT: A Large Language Model for Patronizing and Condescending Language Detection. EMNLP (Findings) 2024: 6913-6928 - [c220]Qi Yang, Jingjie Zeng, Liang Yang, Zhihao Yang, Hongfei Lin:
Exploring the Capability of Multimodal LLMs with Yonkoma Manga: The YManga Dataset and Its Challenging Tasks. EMNLP (Findings) 2024: 8672-8687 - [c219]Dongzhen Wen, Dong Liu, Zheng Yao, He Jiang, Hongfei Lin:
A Novel World Knowledge Aware Universal Representations of Design Patterns Based on Pre-trained Language Models. ICIC (LNAI 4) 2024: 233-244 - [c218]Zhixing Lu, Yuanyuan Sun, Zhihao Yang, Qin Zhou, Hongfei Lin:
The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections. IJCAI 2024: 4687-4695 - [c217]Shilong Wang, Xiaobo Li, Wen Qu, Hongfei Lin, Yi-Jia Zhang:
Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment. ISBRA (1) 2024: 298-309 - [c216]Bo Xu, Junzhe Zheng, Jiayuan He, Yuxuan Sun, Hongfei Lin, Liang Zhao, Feng Xia:
Generating Multimodal Metaphorical Features for Meme Understanding. ACM Multimedia 2024: 447-455 - [c215]Jingjie Zeng, Zhihao Yang, Qi Yang, Liang Yang, Hongfei Lin:
Peeling Back the Layers: Interpreting the Storytelling of ViT. ACM Multimedia 2024: 7298-7306 - [c214]Kaichun Wang, Junyu Lu, Bingjie Yu, Liang Yang, Hongfei Lin:
CETA: Context-Enhanced and Target-Aware Hateful Meme Inference Method. NLPCC (5) 2024: 95-106 - [c213]Liangyu Gao, Zhihao Yang, Ling Luo, Wenfei Liu, Hongfei Lin, Jian Wang:
EDNER: Edge Detection for Named Entity Recognition. NLPCC (2) 2024: 149-160 - [c212]Yijie Shu, Xiaokun Zhang, Youlin Wu, Bo Xu, Liang Yang, Hongfei Lin:
Don't Click the Bait: Title Debiasing News Recommendation via Cross-Field Contrastive Learning. NLPCC (4) 2024: 224-236 - [c211]Haohao Zhu, Xiaokun Zhang, Junyu Lu, Liang Yang, Hongfei Lin:
Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detection. NLPCC (4) 2024: 359-371 - [c210]Zhichao Ping, Zhi Liu, Mengyi Wang, Hongfei Lin, Yijia Zhang:
Humor Recognition Based on Dual Graph Attention Network with Incongruity and Ambiguity Feature Extraction. NLPCC (4) 2024: 496-509 - [c209]Qi Yang, Jingjie Zeng, Liang Yang, Hongfei Lin:
yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges. SemEval@NAACL 2024: 233-238 - [c208]Youlin Wu, Kaichun Wang, Kai Ma, Liang Yang, Hongfei Lin:
Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning. SemEval@NAACL 2024: 547-552 - [c207]Shiyi Li, Yike Wang, Liang Yang, Shaowu Zhang, Hongfei Lin:
LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection. SemEval@NAACL 2024: 628-633 - [c206]Erchen Yu, Junlong Wang, Xuening Qiao, Jiewei Qi, Zhaoqing Li, Hongfei Lin, Linlin Zong, Bo Xu:
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes. SemEval@NAACL 2024: 642-648 - [c205]Dailin Li, Chuhan Wang, Xin Zou, Junlong Wang, Peng Chen, Jian Wang, Liang Yang, Hongfei Lin:
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection. SemEval@NAACL 2024: 1315-1321 - [c204]Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma:
FineRec: Exploring Fine-grained Sequential Recommendation. SIGIR 2024: 1599-1608 - [c203]Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma:
Disentangling ID and Modality Effects for Session-based Recommendation. SIGIR 2024: 1883-1892 - [i25]Xiaokun Zhang, Bo Xu, Chenliang Li, Yao Zhou, Liangyue Li, Hongfei Lin:
Side Information-Driven Session-based Recommendation: A Survey. CoRR abs/2402.17129 (2024) - [i24]Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma:
Disentangling ID and Modality Effects for Session-based Recommendation. CoRR abs/2404.12969 (2024) - [i23]Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma:
FineRec: Exploring Fine-grained Sequential Recommendation. CoRR abs/2404.12975 (2024) - [i22]Haohao Zhu, Xiaokun Zhang, Junyu Lu, Youlin Wu, Zewen Bai, Changrong Min, Liang Yang, Bo Xu, Dongyu Zhang, Hongfei Lin:
Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives. CoRR abs/2404.15067 (2024) - [i21]Bo Zhang, Hui Ma, Jian Ding, Jian Wang, Bo Xu, Hongfei Lin:
Distilling Implicit Multimodal Knowledge into LLMs for Zero-Resource Dialogue Generation. CoRR abs/2405.10121 (2024) - [i20]Junyu Lu, Bo Xu, Xiaokun Zhang, Kaiyuan Liu, Dongyu Zhang, Liang Yang, Hongfei Lin:
Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect. CoRR abs/2406.00983 (2024) - [i19]Qiyao Wang, Jianguo Huang, Shule Lu, Yuan Lin, Kan Xu, Liang Yang, Hongfei Lin:
IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language Models. CoRR abs/2406.12386 (2024) - [i18]Hui Ma, Bo Zhang, Bo Xu, Jian Wang, Hongfei Lin, Xiao Sun:
Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation. CoRR abs/2408.02976 (2024) - [i17]Yijie Shu, Xiaokun Zhang, Youlin Wu, Bo Xu, Liang Yang, Hongfei Lin:
Don't Click the Bait: Title Debiasing News Recommendation via Cross-Field Contrastive Learning. CoRR abs/2408.08538 (2024) - [i16]Haohao Zhu, Xiaokun Zhang, Junyu Lu, Liang Yang, Hongfei Lin:
Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detection. CoRR abs/2408.08551 (2024) - [i15]Hongbo Wang, Junyu Lu, Yan Han, Kai Ma, Liang Yang, Hongfei Lin:
Towards Patronizing and Condescending Language in Chinese Videos: A Multimodal Dataset and Detector. CoRR abs/2409.05005 (2024) - [i14]Hongbo Wang, Mingda Li, Junyu Lu, Hebin Xia, Liang Yang, Bo Xu, Ruizhu Liu, Hongfei Lin:
PclGPT: A Large Language Model for Patronizing and Condescending Language Detection. CoRR abs/2410.00361 (2024) - [i13]Junyu Lu, Bo Xu, Xiaokun Zhang, Hongbo Wang, Haohao Zhu, Dongyu Zhang, Liang Yang, Hongfei Lin:
Towards Comprehensive Detection of Chinese Harmful Memes. CoRR abs/2410.02378 (2024) - 2023
- [j186]Hui Ma, Jian Wang, Hongfei Lin, Bo Xu:
Graph augmented sequence-to-sequence model for neural question generation. Appl. Intell. 53(11): 14628-14644 (2023) - [j185]Peng Chen, Jian Wang, Hongfei Lin, Di Zhao, Zhihao Yang:
Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning. Bioinform. 39(8) (2023) - [j184]Yonghe Chu, Heling Cao, Yufeng Diao, Hongfei Lin:
Refined SBERT: Representing sentence BERT in manifold space. Neurocomputing 555: 126453 (2023) - [j183]Changrong Min, Hongfei Lin, Ximing Li, He Zhao, Junyu Lu, Liang Yang, Bo Xu:
Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective. Inf. Fusion 96: 214-223 (2023) - [j182]Lingfei Qian, Jian Wang, Hongfei Lin, Liang Yang:
Multi-perspective respondent representations for answer ranking in community question answering. Inf. Sci. 624: 37-48 (2023) - [j181]Yumeng Yang, Hongfei Lin, Zhihao Yang, Yijia Zhang, Di Zhao, Shuaiheng Huai:
ADPG: Biomedical entity recognition based on Automatic Dependency Parsing Graph. J. Biomed. Informatics 140: 104317 (2023) - [j180]Di Zhao, Yumeng Yang, Peng Chen, Jiana Meng, Shichang Sun, Jian Wang, Hongfei Lin:
Biomedical document relation extraction with prompt learning and KNN. J. Biomed. Informatics 145: 104459 (2023) - [j179]Nan Li, Zhihao Yang, Yumeng Yang, Jian Wang, Hongfei Lin:
Hyperbolic hierarchical knowledge graph embeddings for biological entities. J. Biomed. Informatics 147: 104503 (2023) - [j178]Bolin Wang, Yuanyuan Sun, Yonghe Chu, Changrong Min, Zhihao Yang, Hongfei Lin:
Local discriminative graph convolutional networks for text classification. Multim. Syst. 29(4): 2363-2373 (2023) - [j177]Liang Yang, Zhexu Shen, Fengqing Zhou, Hongfei Lin, Junpeng Li:
TPoet: Topic-Enhanced Chinese Poetry Generation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 171:1-171:15 (2023) - [j176]Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu:
Hate Speech Detection via Dual Contrastive Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2787-2795 (2023) - [j175]Yi Sun, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang:
Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 489-499 (2023) - [j174]Peng Chen, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang:
Knowledge Adaptive Multi-Way Matching Network for Biomedical Named Entity Recognition via Machine Reading Comprehension. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2101-2111 (2023) - [j173]Yingwen Zhao, Zhihao Yang, Yongkai Hong, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Improving Protein Function Prediction by Adaptively Fusing Information From Protein Sequences and Biomedical Literature. IEEE J. Biomed. Health Informatics 27(2): 1140-1148 (2023) - [j172]Nan Li, Zhihao Yang, Jian Wang, Hongfei Lin:
A Self-Supervised Framework for Learning Biological Entities Representation by Fusing Class Information. IEEE J. Biomed. Health Informatics 27(8): 4178-4188 (2023) - [c202]Changrong Min, Ximing Li, Liang Yang, Zhilin Wang, Bo Xu, Hongfei Lin:
Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction. ACL (1) 2023: 10172-10183 - [c201]Jinzhong Ning, Zhihao Yang, Yuanyuan Sun, Zhizheng Wang, Hongfei Lin:
OD-RTE: A One-Stage Object Detection Framework for Relational Triple Extraction. ACL (1) 2023: 11120-11135 - [c200]Junyu Lu, Bo Xu, Xiaokun Zhang, Changrong Min, Liang Yang, Hongfei Lin:
Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks. ACL (1) 2023: 16235-16250 - [c199]Zhehuan Zhao, Bo Xu, Yuying Zou, Zhihao Yang, Menghan Wang, Hongfei Lin:
Biomedical Named Entity Recognition Through Deep Reinforcement Learning. BIBM 2023: 779-784 - [c198]Haixin Tan, Zhihao Yang, Zeyuan Ding, Zhijun Wang, Ling Luo, Lei Wang, Yin Zhang, Wei Liu, Hongfei Lin, Jian Wang:
Joint Biomedical Entity and Relation Extraction with Unified Interaction Maps. BIBM 2023: 1437-1442 - [c197]Bo Xu, Qirui Wang, Longjiao Li, Jinqiao Yang, Hongfei Lin, Feng Ding:
A novel few-shot learning approach for the classification of histological images of liver tumors. BIBM 2023: 1604-1609 - [c196]Xiaobo Li, Yi-Jia Zhang, Xiaodi Hou, Fanjun Meng, Hongfei Lin:
Multi-Visit Interactive Recalibration Network for Drug Recommendation with a Triple Graph Encoder. BIBM 2023: 2040-2043 - [c195]Yuqi Liu, Zhihao Yang, Jinzhong Ning, Zhijun Wang, Ling Luo, Lei Wang, Yin Zhang, Wei Liu, Hongfei Lin, Jian Wang:
Joint Biomedical Entity and Relation Extraction Based on Triple Region Vertices. BIBM 2023: 2117-2120 - [c194]Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin:
SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions. BIBM 2023: 2183-2186 - [c193]Shilong Wang, Hongfei Lin, Yijia Zhang, Xiaobo Li, Wen Qu:
MKFN: Multimodal Knowledge Fusion Network for Automatic ICD Coding. BIBM 2023: 2294-2297 - [c192]Shaowu Zhang, Xijun Cui, Tongyue Zhang, Hongfei Lin, Liang Yang:
Humor Level Recognition Based on Prompt Learning and Contrastive Learning. IEEE Big Data 2023: 1256-1261 - [c191]Zhuang Wang, Yijia Zhang, Kang An, Xiaoying Zhou, Mingyu Lu, Hongfei Lin:
P-MNER: Cross Modal Correction Fusion Network with Prompt Learning for Multimodal Named Entity Recognition. CCL 2023: 207-221 - [c190]Chunling Wang, Yi-Jia Zhang, Xingyu Yu, Guantong Liu, Fei Chen, Hongfei Lin:
Adversarial Network with External Knowledge for Zero-Shot Stance Detection. CCL 2023: 419-433 - [c189]Dongyu Zhang, Jingwei Yu, Senyuan Jin, Liang Yang, Hongfei Lin:
MultiCMET: A Novel Chinese Benchmark for Understanding Multimodal Metaphor. EMNLP (Findings) 2023: 6141-6154 - [c188]Jiahao Kang, Liang Yang, Yuefan Sun, Yuan Lin, Shaowu Zhang, Hongfei Lin:
P-Reader: A Clue-Inspired Model for Machine Reading Comprehension. ICCC 2023: 19-33 - [c187]Jinzhong Ning, Zhihao Yang, Zhizheng Wang, Yuanyuan Sun, Hongfei Lin:
ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction. IJCAI 2023: 5170-5178 - [c186]Zhexu Shen, Liang Yang, Zhihan Yang, Hongfei Lin:
More Than Simply Masking: Exploring Pre-training Strategies for Symbolic Music Understanding. ICMR 2023: 540-544 - [c185]Bo Zhang, Jian Wang, Hui Ma, Bo Xu, Hongfei Lin:
ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation. ACM Multimedia 2023: 5464-5473 - [c184]Zijian Tu, Bo Zhang, Chuchu Jiang, Jian Wang, Hongfei Lin:
A Model Ensemble Approach for Conversational Quadruple Extraction. NLPCC (3) 2023: 174-184 - [c183]Junlong Wang, Yongqi Leng, Xinyu Zhai, Linlin Zong, Hongfei Lin, Bo Xu:
Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System. NLPCC (3) 2023: 366-375 - [c182]Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Tongxuan Zhang, Bo Xu, Hongfei Lin:
KESDT: Knowledge Enhanced Shallow and Deep Transformer for Detecting Adverse Drug Reactions. NLPCC (2) 2023: 601-613 - [c181]Hongbo Wang, Mingda Li, Junyu Lu, Liang Yang, Hebin Xia, Hongfei Lin:
CCPC: A Hierarchical Chinese Corpus for Patronizing and Condescending Language Detection. NLPCC (2) 2023: 640-652 - [c180]Yingyu Yan, Dongzhen Wen, Liang Yang, Dongyu Zhang, Hongfei Lin:
Poetry Generation Combining Poetry Theme Labels Representations. RANLP 2023: 1246-1255 - [c179]Hao Zhang, Youlin Wu, Junyu Lu, Zewen Bai, Jiangming Wu, Hongfei Lin, Shaowu Zhang:
ZBL2W at SemEval-2023 Task 9: A Multilingual Fine-tuning Model with Data Augmentation for Tweet Intimacy Analysis. SemEval@ACL 2023: 770-775 - [c178]Bingjie Yu, Zewen Bai, Haoran Ji, Shiyi Li, Hao Zhang, Hongfei Lin:
DUTIR at SemEval-2023 Task 10: Semi-supervised Learning for Sexism Detection in English. SemEval@ACL 2023: 892-896 - [i12]Junyu Lu, Bo Xu, Xiaokun Zhang, Changrong Min, Liang Yang, Hongfei Lin:
Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks. CoRR abs/2305.04446 (2023) - [i11]Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu:
Hate Speech Detection via Dual Contrastive Learning. CoRR abs/2307.05578 (2023) - [i10]Bo Zhang, Jian Wang, Hui Ma, Bo Xu, Hongfei Lin:
ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation. CoRR abs/2308.00400 (2023) - [i9]Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Tongxuan Zhang, Bo Xu, Hongfei Lin:
KESDT: knowledge enhanced shallow and deep Transformer for detecting adverse drug reactions. CoRR abs/2308.09329 (2023) - [i8]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-occurrence: Multi-modal Session-based Recommendation. CoRR abs/2309.17037 (2023) - [i7]Hui Ma, Jian Wang, Hongfei Lin, Bo Zhang, Yijia Zhang, Bo Xu:
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations. CoRR abs/2310.20494 (2023) - [i6]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. CoRR abs/2311.01125 (2023) - [i5]Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen, Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, Dinghao Pan, Jiru Li, Hao Li, Wenduo Feng, Senbo Tu, Yuqi Liu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Hongfei Lin:
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks. CoRR abs/2311.11608 (2023) - 2022
- [j171]Yu Cao, Yuanyuan Sun, Ce Xu, Chunnan Li, Jinming Du, Hongfei Lin:
CAILIE 1.0: A dataset for Challenge of AI in Law - Information Extraction V1.0. AI Open 3: 208-212 (2022) - [j170]Lu Ren, Bo Xu, Hongfei Lin, Jinhui Zhang, Liang Yang:
An attention network via pronunciation, lexicon and syntax for humor recognition. Appl. Intell. 52(3): 2690-2702 (2022) - [j169]Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang:
Self-supervised learning for fair recommender systems. Appl. Soft Comput. 125: 109126 (2022) - [j168]Bo Xu, Hongfei Lin, Liang Yang, Yuan Lin, Kan Xu:
Cognitive Knowledge-aware Social Recommendation via Group-enhanced Ranking Model. Cogn. Comput. 14(3): 1055-1067 (2022) - [j167]Lingfei Qian, Jian Wang, Hongfei Lin, Liang Yang, Yu Zhang:
Multi-hop interactive attention based classification network for expert recommendation. Neurocomputing 488: 436-443 (2022) - [j166]Bolin Wang, Yuanyuan Sun, Yonghe Chu, Hongfei Lin, Di Zhao, Liang Yang, Chen Shen, Zhihao Yang, Jian Wang:
Manifold biomedical text sentence embedding. Neurocomputing 492: 117-125 (2022) - [j165]Hui Ma, Jian Wang, Hongfei Lin, Liang Yang:
Global and local interaction matching model for knowledge-grounded response selection in retrieval-based chatbots. Neurocomputing 497: 39-49 (2022) - [j164]Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma:
Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. 59(3): 102936 (2022) - [j163]Yan Wang, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang:
Dependency multi-weight-view graphs for event detection with label co-occurrence. Inf. Sci. 606: 423-439 (2022) - [j162]Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
MRC4BioER: Joint extraction of biomedical entities and relations in the machine reading comprehension framework. J. Biomed. Informatics 125: 103956 (2022) - [j161]Hui Ma, Jian Wang, Hongfei Lin, Xuejun Pan, Yijia Zhang, Zhihao Yang:
A multi-view network for real-time emotion recognition in conversations. Knowl. Based Syst. 236: 107751 (2022) - [j160]Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan:
Dual constraints and adversarial learning for fair recommenders. Knowl. Based Syst. 239: 108058 (2022) - [j159]Lingfei Qian, Jian Wang, Hongfei Lin, Bo Xu, Liang Yang:
Heterogeneous information network embedding based on multiperspective metapath for question routing. Knowl. Based Syst. 240: 107842 (2022) - [j158]Haifeng Liu, Hongfei Lin, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin:
Perceived individual fairness with a molecular representation for medicine recommendations. Knowl. Based Syst. 247: 108755 (2022) - [j157]Bolin Wang, Yuanyuan Sun, Yonghe Chu, Zhihao Yang, Hongfei Lin:
Global-locality preserving projection for word embedding. Int. J. Mach. Learn. Cybern. 13(10): 2943-2956 (2022) - [j156]Haifeng Liu, Yukai Wang, Hongfei Lin, Bo Xu, Nan Zhao:
Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems. Neural Comput. Appl. 34(20): 18097-18111 (2022) - [j155]Liang Yang, Shuqun Li, Xi Luo, Bo Xu, Yuanling Geng, Zeyuan Zeng, Fan Zhang, Hongfei Lin:
Computational personality: a survey. Soft Comput. 26(18): 9587-9605 (2022) - [j154]Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu:
Context-aware ranking refinement with attentive semi-supervised autoencoders. Soft Comput. 26(24): 13941-13952 (2022) - [j153]Bo Zhang, Jian Wang, Hongfei Lin, Hui Ma, Bo Xu:
Exploiting Pairwise Mutual Information for Knowledge-Grounded Dialogue. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2231-2240 (2022) - [j152]Zhengguang Li, Heng Chen, Ruihua Qi, Hongfei Lin, Huayue Chen:
DocR-BERT: Document-Level R-BERT for Chemical-Induced Disease Relation Extraction via Gaussian Probability Distribution. IEEE J. Biomed. Health Informatics 26(3): 1341-1352 (2022) - [j151]Zhizheng Wang, Yuanyuan Sun, Xuyang Hu, Jiafeng Zhao, Zhihao Yang, Hongfei Lin:
A Semantic Network Encoder for Associated Fact Prediction. IEEE Trans. Knowl. Data Eng. 34(11): 5114-5125 (2022) - [c177]Yingwen Zhao, Zhihao Yang, Yongkai Hong, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Adaptive Multi-view Graph Convolutional Network for Gene Ontology Annotations of Proteins. BIBM 2022: 90-93 - [c176]Peng Chen, Jian Wang, Hongfei Lin, Yichen Wang, Di Zhao, Yijia Zhang:
Syntactic Type-aware Graph Attention Network for Drug-drug Interactions and their Adverse Effects Extraction. BIBM 2022: 404-409 - [c175]Xingwang Li, Yijia Zhang, Jian Wang, Mingyu Lu, Hongfei Lin:
Knowledge-Enhanced Dual Graph Neural Network for Robust Medicine Recommendation. BIBM 2022: 477-482 - [c174]Yan Zhang, Jiru Li, Zhihao Yang, Hongfei Lin, Jian Wang:
Location-Guided Token Pair Tagger for Joint Biomedical Entity and Relation Extraction. BIBM 2022: 666-671 - [c173]Peixuan Zhou, Yijia Zhang, Fei Chen, Mingyu Lu, Wen Qu, Hongfei Lin, Xiaoxia Liu:
Contrastive Self-Supervised Representation Learning for Protein Complexes Identification. BIBM 2022: 712-717 - [c172]Jinzhong Ning, Jiru Li, Zhihao Yang, Yuanyuan Sun, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
BioNER-CFEM: Biomedical Named Entity Recognition Based on Character Feature Enhancement with Multimodal Method. BIBM 2022: 787-790 - [c171]Ruobing Li, Jian Wang, Hongfei Lin, Yuan Lin, Huiyi Lu, Zhihao Yang:
Patient Condition Change Network for Safe Medication Recommendation. BIBM 2022: 1046-1051 - [c170]Yufeng Diao, Liang Yang, Xiaochao Fan, Hongfei Lin:
A Position-Aware Word-Level and Clause-Level Attention Network for Emotion Cause Recognition. CCIR 2022: 1-15 - [c169]Ming Yang, Yijia Zhang, Santosh Kumar Banbhrani, Hongfei Lin, Mingyu Lu:
Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning. CCKS 2022: 43-54 - [c168]Jinzhong Ning, Zhihao Yang, Zhizheng Wang, Yuanyuan Sun, Hongfei Lin, Jian Wang:
Two Languages Are Better than One: Bilingual Enhancement for Chinese Named Entity Recognition. COLING 2022: 2024-2033 - [c167]Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma:
RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. COLING 2022: 3342-3352 - [c166]Kaiyuan Shi, Shaowu Zhang, Haifeng Liu, Yijia Zhang, Hongfei Lin:
MGEDR: A Molecular Graph Encoder for Drug Recommendation. NLPCC (2) 2022: 98-109 - [c165]Junyu Lu, Hao Zhang, Zhexu Shen, Kaiyuan Shi, Liang Yang, Bo Xu, Shaowu Zhang, Hongfei Lin:
Multi-task Hierarchical Cross-Attention Network for Multi-label Text Classification. NLPCC (2) 2022: 156-167 - [c164]Dinghao Pan, Zhihao Yang, Haixin Tan, Jiangming Wu, Hongfei Lin:
Dialogue Topic Extraction as Sentence Sequence Labeling. NLPCC (2) 2022: 252-262 - [c163]Zefeng Li, Hongfei Lin, Liang Yang, Bo Xu, Shaowu Zhang:
Memeplate: A Chinese Multimodal Dataset for Humor Understanding in Meme Templates. NLPCC (1) 2022: 527-538 - [c162]Junyu Lu, Hao Zhang, Tongyue Zhang, Hongbo Wang, Haohao Zhu, Bo Xu, Hongfei Lin:
GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection. SemEval@NAACL 2022: 432-437 - [c161]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR 2022: 1684-1693 - [c160]Bo Xu, Tingting Li, Junzhe Zheng, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia:
MET-Meme: A Multimodal Meme Dataset Rich in Metaphors. SIGIR 2022: 2887-2899 - [i4]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR abs/2205.04181 (2022) - 2021
- [j150]Di Zhao, Jian Wang, Hongfei Lin, Xin Wang, Zhihao Yang, Yijia Zhang:
Biomedical cross-sentence relation extraction via multihead attention and graph convolutional networks. Appl. Soft Comput. 104: 107230 (2021) - [j149]Tongxuan Zhang, Hongfei Lin, Yuqi Ren, Zhihao Yang, Jian Wang, Shaowu Zhang, Bo Xu, Xiaodong Duan:
Adversarial transfer network with bilinear attention for the detection of adverse drug reactions from social media. Appl. Soft Comput. 106: 107358 (2021) - [j148]Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Deep learning with language models improves named entity recognition for PharmaCoNER. BMC Bioinform. 22(1): 602 (2021) - [j147]Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yufeng Diao, Lu Ren:
Dual Part-pooling Attentive Networks for Session-based Recommendation. Neurocomputing 440: 89-100 (2021) - [j146]Yonghe Chu, Hongfei Lin, Liang Yang, Shichang Sun, Yufeng Diao, Changrong Min, Xiaochao Fan, Chen Shen:
Hyperspectral image classification with discriminative manifold broad learning system. Neurocomputing 442: 236-248 (2021) - [j145]Di Zhao, Jian Wang, Yonghe Chu, Yijia Zhang, Zhihao Yang, Hongfei Lin:
Improving biomedical word representation with locally linear embedding. Neurocomputing 447: 172-182 (2021) - [j144]Tongxuan Zhang, Hongfei Lin, Yuqi Ren, Zhihao Yang, Jian Wang, Xiaodong Duan, Bo Xu:
Identifying adverse drug reaction entities from social media with adversarial transfer learning model. Neurocomputing 453: 254-262 (2021) - [j143]Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu, Hongfei Lin:
SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network. Inf. 12(10): 389 (2021) - [j142]Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Biomedical named entity recognition using BERT in the machine reading comprehension framework. J. Biomed. Informatics 118: 103799 (2021) - [j141]Tongxuan Zhang, Hongfei Lin, Bo Xu, Liang Yang, Jian Wang, Xiaodong Duan:
Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions. J. Biomed. Informatics 123: 103896 (2021) - [j140]Di Zhao, Jian Wang, Hongfei Lin, Yonghe Chu, Yan Wang, Yi-Jia Zhang, Zhihao Yang:
Sentence representation with manifold learning for biomedical texts. Knowl. Based Syst. 218: 106869 (2021) - [j139]Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu:
Two-stage supervised ranking for emotion cause extraction. Knowl. Based Syst. 228: 107225 (2021) - [j138]Yuan Lin, Bo Xu, Jiaojiao Feng, Hongfei Lin, Kan Xu:
Knowledge-enhanced recommendation using item embedding and path attention. Knowl. Based Syst. 233: 107484 (2021) - [j137]Weidong Bao, Hongfei Lin, Yi-Jia Zhang, Jian Wang, Shaowu Zhang:
Medical code prediction via capsule networks and ICD knowledge. BMC Medical Informatics Decis. Mak. 21-S(2): 55 (2021) - [j136]Tongxuan Zhang, Hongfei Lin, Michael M. Tadesse, Yuqi Ren, Xiaodong Duan, Bo Xu:
Chinese medical relation extraction based on multi-hop self-attention mechanism. Int. J. Mach. Learn. Cybern. 12(2): 355-363 (2021) - [j135]Lu Ren, Hongfei Lin, Bo Xu, Liang Yang, Dongyu Zhang:
Learning to capture contrast in sarcasm with contextual dual-view attention network. Int. J. Mach. Learn. Cybern. 12(9): 2607-2615 (2021) - [j134]Hui Ma, Jian Wang, Lingfei Qian, Hongfei Lin:
HAN-ReGRU: hierarchical attention network with residual gated recurrent unit for emotion recognition in conversation. Neural Comput. Appl. 33(7): 2685-2703 (2021) - [j133]Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Kan Xu:
Emotion cause detection with enhanced-representation attention convolutional-context network. Soft Comput. 25(2): 1297-1307 (2021) - [j132]Hui Ma, Jian Wang, Hongfei Lin, Yi-Jia Zhang:
Hierarchical matching network for multi-turn response selection in retrieval-based chatbots. Soft Comput. 25(14): 9609-9624 (2021) - [j131]Lu Ren, Bo Xu, Hongfei Lin, Liang Yang:
ABML: attention-based multi-task learning for jointly humor recognition and pun detection. Soft Comput. 25(22): 14109-14118 (2021) - [j130]Zhiheng Li, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Lexicon Knowledge Boosted Interaction Graph Network for Adverse Drug Reaction Recognition From Social Media. IEEE J. Biomed. Health Informatics 25(7): 2777-2786 (2021) - [c159]Dongyu Zhang, Minghao Zhang, Heting Zhang, Liang Yang, Hongfei Lin:
MultiMET: A Multimodal Dataset for Metaphor Understanding. ACL/IJCNLP (1) 2021: 3214-3225 - [c158]Xianbing Zhou, Yang Yong, Xiaochao Fan, Ge Ren, Yunfeng Song, Yufeng Diao, Liang Yang, Hongfei Lin:
Hate Speech Detection Based on Sentiment Knowledge Sharing. ACL/IJCNLP (1) 2021: 7158-7166 - [c157]Peng Chen, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang, Di Zhao, Hui Ma:
Co-Attentive Span Network with Multi-task learning for Biomedical Named Entity Recognition. BIBM 2021: 649-652 - [c156]Qiming Liu, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jinzhong Ning:
SGAT: a Self-supervised Graph Attention Network for Biomedical Relation Extraction. BIBM 2021: 698-701 - [c155]Zhehuan Zhao, Yuying Zou, Yang Tian, Bo Xu, Zhihao Yang, Jian Wang, Hongfei Lin, Shimin Shan, Yu Liu:
TL-BERT: A Novel Biomedical Relation Extraction Approach. BIBM 2021: 797-800 - [c154]Haifeng Liu, Hongfei Lin, Chen Shen, Zhihao Yang, Jian Wang, Liang Yang:
Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation. BIBM 2021: 1412-1417 - [c153]Xianbing Zhou, Liang Yang, Xiaochao Fan, Ge Ren, Yang Yong, Hongfei Lin:
Self-training vs Pre-trained Embeddings for Automatic Essay Scoring. CCIR 2021: 155-167 - [c152]Yu Wang, Shaowu Zhang, Yijia Zhang, Liang Yang, Hongfei Lin:
A Drug Repositioning Method Based on Heterogeneous Graph Neural Network. CCIR 2021: 183-194 - [c151]Mengyuan Qian, Jian Wang, Hongfei Lin, Di Zhao, Yijia Zhang, Wentai Tang, Zhihao Yang:
Auto-learning Convolution-Based Graph Convolutional Network for Medical Relation Extraction. CCIR 2021: 195-207 - [c150]Changrong Min, Yonghe Chu, Liang Yang, Bo Xu, Hongfei Lin:
Locality Preserving Sentence Encoding. EMNLP (Findings) 2021: 3050-3060 - [c149]Shuqun Li, Liang Yang, Weidong He, Shiqi Zhang, Jingjie Zeng, Hongfei Lin:
Label-Enhanced Hierarchical Contextualized Representation for Sequential Metaphor Identification. EMNLP (1) 2021: 3533-3543 - [c148]Zeyuan Zeng, Shaowu Zhang, Lu Ren, Hongfei Lin, Liang Yang:
Senti-BSAS: A BERT-based Classification Model with Sentiment Calculating for Happiness Research. ICCAI 2021: 272-277 - [c147]Zeyuan Ding, Zhihao Yang, Hongfei Lin, Jian Wang:
Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling. IJCAI 2021: 3801-3807 - [c146]Yuanling Geng, Shuqun Li, Fan Zhang, Shaowu Zhang, Liang Yang, Hongfei Lin:
Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification. NLPCC (2) 2021: 579-589 - [c145]Jiaming Wu, Hongfei Lin, Liang Yang, Bo Xu:
MUMOR: A Multimodal Dataset for Humor Detection in Conversations. NLPCC (1) 2021: 619-627 - [c144]Liang Yang, Jingjie Zeng, Shuqun Li, Zhexu Shen, Yansong Sun, Hongfei Lin:
Metaphor Recognition and Analysis via Data Augmentation. NLPCC (1) 2021: 746-757 - [c143]Yuan Lin, Zhang Xie, Bo Xu, Kan Xu, Hongfei Lin:
Info-flow Enhanced GANs for Recommender. SIGIR 2021: 1703-1707 - [e4]Hongfei Lin, Min Zhang, Liang Pang:
Information Retrieval - 27th China Conference, CCIR 2021, Dalian, China, October 29-31, 2021, Proceedings. Lecture Notes in Computer Science 13026, Springer 2021, ISBN 978-3-030-88188-7 [contents] - 2020
- [j129]Yuan Lin, Jiaping Li, Liang Yang, Kan Xu, Hongfei Lin:
Sentiment Analysis With Comparison Enhanced Deep Neural Network. IEEE Access 8: 78378-78384 (2020) - [j128]Zhengguang Li, Hongfei Lin, Wei Zheng, Michael M. Tadesse, Zhihao Yang, Jian Wang:
Interactive Self-Attentive Siamese Network for Biomedical Sentence Similarity. IEEE Access 8: 84093-84104 (2020) - [j127]Zhengguang Li, Hongfei Lin, Wei Zheng:
An Effective Emotional Expression and Knowledge-Enhanced Method for Detecting Adverse Drug Reactions. IEEE Access 8: 87083-87093 (2020) - [j126]Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Kan Xu, Di Wu:
A Multi-Dimension Question Answering Network for Sarcasm Detection. IEEE Access 8: 135152-135161 (2020) - [j125]Jintao Liu, Hongfei Lin, Liang Yang, Bo Xu, Dongzhen Wen:
Multi-Element Hierarchical Attention Capsule Network for Stock Prediction. IEEE Access 8: 143114-143123 (2020) - [j124]Michael Mesfin Tadesse, Hongfei Lin, Bo Xu, Liang Yang:
Detection of Suicide Ideation in Social Media Forums Using Deep Learning. Algorithms 13(1): 7 (2020) - [j123]Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Chemical-protein interaction extraction via Gaussian probability distribution and external biomedical knowledge. Bioinform. 36(15): 4323-4330 (2020) - [j122]Zhiheng Li, Zhihao Yang, Yang Xiang, Ling Luo, Yuanyuan Sun, Hongfei Lin:
Exploiting sequence labeling framework to extract document-level relations from biomedical texts. BMC Bioinform. 21(1): 125 (2020) - [j121]Di Zhao, Jian Wang, Yi-Jia Zhang, Xin Wang, Hongfei Lin, Zhihao Yang:
Incorporating representation learning and multihead attention to improve biomedical cross-sentence n-ary relation extraction. BMC Bioinform. 21(1): 312 (2020) - [j120]Jian Wang, Mengying Li, Qishuai Diao, Hongfei Lin, Zhihao Yang, Yi-Jia Zhang:
Biomedical document triage using a hierarchical attention-based capsule network. BMC Bioinform. 21-S(13): 380 (2020) - [j119]Xiaochao Fan, Hongfei Lin, Liang Yang, Yufeng Diao, Chen Shen, Yonghe Chu, Tongxuan Zhang:
Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition. Complex. 2020: 2509018:1-2509018:9 (2020) - [j118]Chen Shen, Hongfei Lin, Zhengguang Li, Yonghe Chu, Zhihao Yang:
Sensitivity-controlled event trigger identification in multi-level biomedical context. Int. J. Data Min. Bioinform. 24(3): 238-257 (2020) - [j117]Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Zhihao Yang, Jian Wang, Kan Xu:
FBSN: A hybrid fine-grained neural network for biomedical event trigger identification. Neurocomputing 381: 105-112 (2020) - [j116]Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Bo Xu, Deqin Yan:
Discriminative globality-locality preserving extreme learning machine for image classification. Neurocomputing 387: 13-21 (2020) - [j115]Xiaochao Fan, Hongfei Lin, Liang Yang, Yufeng Diao, Chen Shen, Yonghe Chu, Yanbo Zou:
Humor detection via an internal and external neural network. Neurocomputing 394: 105-111 (2020) - [j114]Lu Ren, Bo Xu, Hongfei Lin, Xikai Liu, Liang Yang:
Sarcasm Detection with Sentiment Semantics Enhanced Multi-level Memory Network. Neurocomputing 401: 320-326 (2020) - [j113]Ling Luo, Zhihao Yang, Mingyu Cao, Lei Wang, Yin Zhang, Hongfei Lin:
A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature. J. Biomed. Informatics 103: 103384 (2020) - [j112]Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Attention guided capsule networks for chemical-protein interaction extraction. J. Biomed. Informatics 103: 103392 (2020) - [j111]Zhiheng Li, Zhihao Yang, Ling Luo, Yang Xiang, Hongfei Lin:
Exploiting adversarial transfer learning for adverse drug reaction detection from texts. J. Biomed. Informatics 106: 103431 (2020) - [j110]Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Kan Xu:
CRGA: Homographic pun detection with a contextualized-representation: Gated attention network. Knowl. Based Syst. 195: 105056 (2020) - [j109]Yonghe Chu, Hongfei Lin, Liang Yang, Dongyu Zhang, Yufeng Diao, Xiaochao Fan, Chen Shen:
Hyperspectral image classification based on discriminative locality preserving broad learning system. Knowl. Based Syst. 206: 106319 (2020) - [j108]Nan Li, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
KGHC: a knowledge graph for hepatocellular carcinoma. BMC Medical Informatics Decis. Mak. 20-S(3): 135 (2020) - [j107]Yonghe Chu, Hongfei Lin, Liang Yang, Dongyu Zhang, Shaowu Zhang, Yufeng Diao, Deqin Yan:
Fuzzy ELM for classification based on feature space. Multim. Tools Appl. 79(37-38): 27439-27464 (2020) - [j106]Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Kan Xu, Bo Xu:
Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction. Neural Comput. Appl. 32(12): 8401-8413 (2020) - [j105]Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Dongyu Zhang, Kan Xu:
CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network. Neural Comput. Appl. 32(15): 11491-11503 (2020) - [j104]Bo Xu, Hongfei Lin, Yuan Lin, Yizhou Guan:
Integrating social annotations into topic models for personalized document retrieval. Soft Comput. 24(3): 1707-1716 (2020) - [j103]Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Kan Xu:
Homographic pun location using multi-dimensional semantic relationships. Soft Comput. 24(16): 12163-12173 (2020) - [c142]Shuqun Li, Jingjie Zeng, Jinhui Zhang, Tao Peng, Liang Yang, Hongfei Lin:
ALBERT-BiLSTM for Sequential Metaphor Detection. Fig-Lang@ACL 2020: 110-115 - [c141]Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun:
Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. BIBM 2020: 319-322 - [c140]Yuan Xu, Zhihao Yang, Yawen Song, Zhiheng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Star-BiLSTM-LAN for Document-level Mutation-Disease Relation Extraction from Biomedical Literature. BIBM 2020: 357-362 - [c139]Tongxuan Zhang, Hongfei Lin, Bo Xu, Yuqi Ren, Zhihao Yang, Jian Wang, Xiaodong Duan:
Gated iterative capsule network for adverse drug reaction detection from social media. BIBM 2020: 387-390 - [c138]Yu Wang, Shaowu Zhang, Yijia Zhang, Jian Wang, Hongfei Lin:
Extracting Protein-Protein Interactions Affected by Mutations via Auxiliary Task and Domain Pre-trained Model. BIBM 2020: 495-498 - [c137]Erniu Wang, Fan Wang, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Extracting biomedical relations via a multi-head attention based graph convolutional network. BIBM 2020: 793-798 - [c136]Zhengguang Li, Hongfei Lin, Chen Shen, Wei Zheng, Zhihao Yang, Jian Wang:
Cross2Self-attentive Bidirectional Recurrent Neural Network with BERT for Biomedical Semantic Text Similarity. BIBM 2020: 1051-1054 - [c135]Chen Shen, Hongfei Lin, Zhiheng Li, Yonghe Chu, Zhengguang Li, Zhihao Yang:
A Graph-boosted Framework for Adverse Drug Event Detection on Twitter. BIBM 2020: 1129-1131 - [c134]Donzhen Wen, Liang Yang, Yingying Zhang, Yuan Lin, Kan Xu, Hongfei Lin:
Multi-level Semantic Representation Model for Code Search. CIRCLE 2020 - [c133]Xikai Liu, Hongfei Lin, Yumeng Li, Yuqi Ren, Bo Xu:
Generating Dialogue Responses with Latent Lexical Meaning. CLSW 2020: 482-490 - [c132]Yanguang Chen, Yuanyuan Sun, Zhihao Yang, Hongfei Lin:
Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement. COLING 2020: 1561-1571 - [c131]Liang Yang, Jingjie Zeng, Tao Peng, Xi Luo, Jinghui Zhang, Hongfei Lin:
Leniency to those who confess?: Predicting the Legal Judgement via Multi-Modal Analysis. ICMI 2020: 645-649 - [c130]Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao:
Improving Social Recommendations with Item Relationships. ICONIP (4) 2020: 763-770 - [c129]Fengqing Zhou, Jinhui Zhang, Tao Peng, Liang Yang, Hongfei Lin:
Weighted Pre-trained Language Models for Multi-Aspect-Based Multi-Sentiment Analysis. NLPCC (2) 2020: 501-511 - [c128]Yufeng Diao, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Shaowu Zhang, Hongfei Lin:
AFPun-GAN: Ambiguity-Fluency Generative Adversarial Network for Pun Generation. NLPCC (1) 2020: 604-616 - [i3]Dongyu Zhang, Teng Guo, Hanxiao Pan, Jie Hou, Zhitao Feng, Liang Yang, Hongfei Lin, Feng Xia:
Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks. CoRR abs/2008.06312 (2020) - [i2]Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Biomedical named entity recognition using BERT in the machine reading comprehension framework. CoRR abs/2009.01560 (2020)
2010 – 2019
- 2019
- [j102]Shengtian Sang, Zhihao Yang, Xiaoxia Liu, Lei Wang, Hongfei Lin, Jian Wang, Michel Dumontier:
GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures. IEEE Access 7: 8404-8415 (2019) - [j101]Bo Xu, Hongfei Lin, Yuan Lin, Yufeng Diao, Liang Yang, Kan Xu:
Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective. IEEE Access 7: 15573-15583 (2019) - [j100]Michael M. Tadesse, Hongfei Lin, Bo Xu, Liang Yang:
Detection of Depression-Related Posts in Reddit Social Media Forum. IEEE Access 7: 44883-44893 (2019) - [j99]Xiaochao Fan, Hongfei Lin, Yufeng Diao, Yanbo Zou:
An Integrated Biomedical Event Trigger Identification Approach With a Neural Network and Weighted Extreme Learning Machine. IEEE Access 7: 83713-83720 (2019) - [j98]Dongyu Zhang, Hongfei Lin, Xikai Liu, Heting Zhang, Shaowu Zhang:
Combining the Attention Network and Semantic Representation for Chinese Verb Metaphor Identification. IEEE Access 7: 137103-137110 (2019) - [j97]Cong Sun, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
A Deep Learning Approach With Deep Contextualized Word Representations for Chemical-Protein Interaction Extraction From Biomedical Literature. IEEE Access 7: 151034-151046 (2019) - [j96]Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Hongfei Lin, Jian Wang, Bo Xu:
Detection of protein complexes from multiple protein interaction networks using graph embedding. Artif. Intell. Medicine 96: 107-115 (2019) - [j95]Chen Shen, Hongfei Lin, Xiaochao Fan, Yonghe Chu, Zhihao Yang, Jian Wang, Shaowu Zhang:
Biomedical event trigger detection with convolutional highway neural network and extreme learning machine. Appl. Soft Comput. 84 (2019) - [j94]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yuanyuan Sun:
Chemical-protein interaction extraction via contextualized word representations and multihead attention. Database J. Biol. Databases Curation 2019: baz054 (2019) - [j93]Tongxuan Zhang, Hongfei Lin, Yuqi Ren, Liang Yang, Bo Xu, Zhihao Yang, Jian Wang, Yijia Zhang:
Adverse drug reaction detection via a multihop self-attention mechanism. BMC Bioinform. 20(1): 479:1-479:11 (2019) - [j92]Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yi-Jia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin, Fuliang Yin:
A supervised term ranking model for diversity enhanced biomedical information retrieval. BMC Bioinform. 20-S(16): 590:1-590:11 (2019) - [j91]Yumeng Li, Liang Yang, Bo Xu, Jian Wang, Hongfei Lin:
Improving User Attribute Classification with Text and Social Network Attention. Cogn. Comput. 11(4): 459-468 (2019) - [j90]Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Deqin Yan:
Globality-Locality Preserving Maximum Variance Extreme Learning Machine. Complex. 2019: 1806314:1-1806314:18 (2019) - [j89]Yuan Lin, Bo Xu, Hongfei Lin, Kan Xu, Ping Zhang:
FGFIREM: A feature generation framework based on information retrieval evaluation measures. Expert Syst. Appl. 133: 75-85 (2019) - [j88]Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:
Chemical-protein interaction extraction from biomedical literature: a hierarchical recurrent convolutional neural network method. Int. J. Data Min. Bioinform. 22(2): 113-130 (2019) - [j87]Ling Luo, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
KeSACNN: a protein-protein interaction article classification approach based on deep neural network. Int. J. Data Min. Bioinform. 22(2): 131-148 (2019) - [j86]Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu:
Incorporating query constraints for autoencoder enhanced ranking. Neurocomputing 356: 142-150 (2019) - [j85]Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu, Lin Wang, Jiping Gao:
Incorporating Semantic Word Representations into Query Expansion for Microblog Information Retrieval. Inf. Technol. Control. 48(4): 626-636 (2019) - [j84]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yuanyuan Sun, Bo Xu, Zhehuan Zhao:
Neural network-based approaches for biomedical relation classification: A review. J. Biomed. Informatics 99 (2019) - [j83]Di Zhao, Jian Wang, Hongfei Lin, Zhihao Yang, Yijia Zhang:
Extracting drug-drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network. J. Biomed. Informatics 99 (2019) - [j82]Bo Xu, Yunlong Ma, Hongfei Lin:
A hybrid deep neural network model for query intent classification. J. Intell. Fuzzy Syst. 36(6): 6413-6423 (2019) - [j81]Chen Shen, Hongfei Lin, Huihui Hao, Zhihao Yang, Jian Wang, Shaowu Zhang:
Intelligent multi-document summarization for biomedical literature by word embeddings and graph-based ranking. J. Intell. Fuzzy Syst. 37(4): 4797-4802 (2019) - [j80]Di Zhao, Jian Wang, Shengtian Sang, Hongfei Lin, Jiabin Wen, Chunmei Yang:
Relation path feature embedding based convolutional neural network method for drug discovery. BMC Medical Informatics Decis. Mak. 19-S(2): 121-130 (2019) - [j79]Yuan Lin, Jiajin Wu, Bo Xu, Kan Xu, Hongfei Lin:
Learning to rank using multiple loss functions. Int. J. Mach. Learn. Cybern. 10(3): 485-494 (2019) - [j78]Chen Shen, Hongfei Lin, Kai Guo, Kan Xu, Zhihao Yang, Jian Wang:
Detecting adverse drug reactions from social media based on multi-channel convolutional neural networks. Neural Comput. Appl. 31(9): 4799-4808 (2019) - [j77]Licheng Cui, Huawei Zhai, Hongfei Lin:
A Novel Orthogonal Extreme Learning Machine for Regression and Classification Problems. Symmetry 11(10): 1284 (2019) - [j76]Bo Xu, Hongfei Lin, Yuan Lin:
Learning to Refine Expansion Terms for Biomedical Information Retrieval Using Semantic Resources. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 954-966 (2019) - [j75]Meiling Xu, Min Han, Tie Qiu, Hongfei Lin:
Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction. IEEE Trans. Cybern. 49(6): 2305-2315 (2019) - [j74]Meiling Xu, Yuanzhe Yang, Min Han, Tie Qiu, Hongfei Lin:
Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1621-1634 (2019) - [c127]Feng Ding, Xiangjie Kong, Zhehuan Zhao, Feng Xia, Anfu Liu, Chenxu Bai, Bo Xu, Xiaoxia Liu, Shengtian Sang, Hongfei Lin, Zhihao Yang, Jian Wang:
Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking. BIBM 2019: 2021-2028 - [c126]Bo Xu, Michael M. Tadesse, Peng Fei, Hongfei Lin:
Multi-granularity Convolutional Neural Network with Feature Fusion and Refinement for User Profiling. CCIR 2019: 161-172 - [c125]Xiuyuan Yang, Liang Yang, Ran Bi, Hongfei Lin:
A Comprehensive Verification of Transformer in Text Classification. CCL 2019: 207-218 - [c124]Dongyu Zhang, Heting Zhang, Xikai Liu, Hongfei Lin, Feng Xia:
Telling the Whole Story: A Manually Annotated Chinese Dataset for the Analysis of Humor in Jokes. EMNLP/IJCNLP (1) 2019: 6401-6406 - [c123]Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Xiaochao Fan:
Refining Word Representations by Manifold Learning. IJCAI 2019: 5394-5400 - [c122]Yingdong Li, Jian Wang, Hongfei Lin, Shaowu Zhang, Zhihao Yang:
Residual Connected Enhanced Sequential Inference Model for Natural Language Inference. ISKE 2019: 381-386 - [c121]Xiaoling Sun, Kun Ding, Yuan Lin, Hongfei Lin:
Open Science Behavior of AI Industry: Collaboration Patterns and Topics from the Perspective of Cross-Institutional Authors. ISSI 2019: 329-338 - [c120]Tongxuan Zhang, Yuqi Ren, Michael Mesfin Tadessem, Bo Xu, Xikai Liu, Liang Yang, Zhihao Yang, Jian Wang, Hongfei Lin:
Bi-directional Capsule Network Model for Chinese Biomedical Community Question Answering. NLPCC (1) 2019: 105-116 - [c119]Jingkun Feng, Zhihao Yang, Zhiqiang Liu, Ling Luo, Hongfei Lin, Jian Wang:
DUTIR at TREC 2019: Precision Medicine Track. TREC 2019 - [c118]Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Dongyu Zhang, Kan Xu:
Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network. WWW 2019: 363-371 - [c117]Dongyu Zhang, Teng Guo, Hanxiao Pan, Jie Hou, Zhitao Feng, Liang Yang, Hongfei Lin, Feng Xia:
Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks. WWW 2019: 2290-2300 - [i1]Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge. CoRR abs/1911.09487 (2019) - 2018
- [j73]Michael M. Tadesse, Hongfei Lin, Bo Xu, Liang Yang:
Personality Predictions Based on User Behavior on the Facebook Social Media Platform. IEEE Access 6: 61959-61969 (2018) - [j72]Bo Xu, Hongfei Lin, Yuan Lin, Liang Yang, Kan Xu:
Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations. IEEE Access 6: 62152-62165 (2018) - [j71]Dongyu Zhang, Hongfei Lin, Puqi Zheng, Liang Yang, Shaowu Zhang:
The Identification of the Emotionality of Metaphorical Expressions Based on a Manually Annotated Chinese Corpus. IEEE Access 6: 71241-71248 (2018) - [j70]Ling Luo, Zhihao Yang, Hongfei Lin, Jian Wang:
Document triage for identifying protein-protein interactions affected by mutations: a neural network ensemble approach. Database J. Biol. Databases Curation 2018: bay097 (2018) - [j69]Yijia Zhang, Wei Zheng, Hongfei Lin, Jian Wang, Zhihao Yang, Michel Dumontier:
Drug-drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths. Bioinform. 34(5): 828-835 (2018) - [j68]Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang:
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition. Bioinform. 34(8): 1381-1388 (2018) - [j67]Shengtian Sang, Zhihao Yang, Lei Wang, Xiaoxia Liu, Hongfei Lin, Jian Wang:
SemaTyP: a knowledge graph based literature mining method for drug discovery. BMC Bioinform. 19(1): 193:1-193:11 (2018) - [j66]Wei Zheng, Hongfei Lin, Xiaoxia Liu, Bo Xu:
A document level neural model integrated domain knowledge for chemical-induced disease relations. BMC Bioinform. 19(1): 328:1-328:12 (2018) - [j65]Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Ziwei Zhou, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Bo Xu:
Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks. BMC Bioinform. 19(1): 332:1-332:14 (2018) - [j64]Yan Wang, Jian Wang, Hongfei Lin, Xiwei Tang, Shaowu Zhang, Lishuang Li:
Bidirectional long short-term memory with CRF for detecting biomedical event trigger in FastText semantic space. BMC Bioinform. 19-S(20): 59-66 (2018) - [j63]Meiling Xu, Min Han, Hongfei Lin:
Wavelet-denoising multiple echo state networks for multivariate time series prediction. Inf. Sci. 465: 439-458 (2018) - [j62]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Shaowu Zhang, Yuanyuan Sun, Liang Yang:
A hybrid model based on neural networks for biomedical relation extraction. J. Biomed. Informatics 81: 83-92 (2018) - [j61]Wei Zheng, Hongfei Lin, Zhiheng Li, Xiaoxia Liu, Zhengguang Li, Bo Xu, Yijia Zhang, Zhihao Yang, Jian Wang:
An effective neural model extracting document level chemical-induced disease relations from biomedical literature. J. Biomed. Informatics 83: 1-9 (2018) - [j60]Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Jian Wang, Hongfei Lin:
A neural network approach to chemical and gene/protein entity recognition in patents. J. Cheminformatics 10(1): 65:1-65:10 (2018) - [j59]Jian Wang, Hongfei Lin, Hualei Dong, Daping Xiong, Zhihao Yang:
Exploring Answer Information for Question Classification in Community Question Answering. J. Multiple Valued Log. Soft Comput. 31(1-2): 67-84 (2018) - [j58]Bo Xu, Hongfei Lin, Yuan Lin, Yunlong Ma, Liang Yang, Jian Wang, Zhihao Yang:
Improve Biomedical Information Retrieval Using Modified Learning to Rank Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1797-1809 (2018) - [c116]Dongyu Zhang, Hongfei Lin, Liang Yang, Shaowu Zhang, Bo Xu:
Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions. ACL (2) 2018: 144-150 - [c115]Qingqing Li, Zhihao Yang, Zhehuan Zhao, Ling Luo, Zhiheng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Yijia Zhang:
HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms. BIBM 2018: 1-3 - [c114]Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Lei Wang, Yin Zhang, Hongfei Lin, Bo Xu, Yijia Zhang, Liang Yang, Kan Xu, Jian Wang:
PC-SENE: A node embedding based method for protein complex detection. BIBM 2018: 191-192 - [c113]Bo Xu, Kun Li, Xiaoxia Liu, Delong Liu, Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia:
Protein Complexes Detection Based on Global Network Representation Learning. BIBM 2018: 210-213 - [c112]Ling Luo, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:
Protein-Protein Interaction Article Classification: A Knowledge-enriched Self-Attention Convolutional Neural Network Approach. BIBM 2018: 467-469 - [c111]Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yijia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin, Fuliang Yin:
Improve Diversity-oriented Biomedical Information Retrieval using Supervised Query Expansion. BIBM 2018: 556-559 - [c110]Bo Xu, Xiufeng Shi, Zhehuan Zhao, Wei Zheng, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia:
Full-attention Based Drug Drug Interaction Extraction Exploiting User-generated Content. BIBM 2018: 560-565 - [c109]Qingqing Li, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:
A multi-task learning based approach to biomedical entity relation extraction. BIBM 2018: 680-682 - [c108]Shengtian Sang, Zhihao Yang, Xiaoxia Liu, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:
A Knowledge Graph based Bidirectional Recurrent Neural Network Method for Literature-based Discovery. BIBM 2018: 751-752 - [c107]Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:
Hierarchical Recurrent Convolutional Neural Network for Chemical-protein Relation Extraction from Biomedical Literature. BIBM 2018: 765-766 - [c106]Zhizheng Wang, Yuanyuan Sun, Yawen Guan, Yibin Zhang, Liang Yang, Kan Xu, Yijia Zhang, Hongfei Lin:
A Weak Supervised Learning Method for Essential Protein Detection Based on STRING Database and Learning Representation. BIBM 2018: 767-770 - [c105]Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Lei Liu, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia:
Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding. BIBM 2018: 951-956 - [c104]Liang Yang, Dongyu Zhang, Shaowu Zhang, Peng Fei, Hongfei Lin:
Extraction New Sentiment Words in Weibo Based on Relative Branch Entropy. CCIR 2018: 158-169 - [c103]Ling Luo, Nan Li, Shuaichi Li, Zhihao Yang, Hongfei Lin:
DUTIR at the CCKS-2018 Task1: A Neural Network Ensemble Approach for Chinese Clinical Named Entity Recognition. CCKS Tasks 2018: 7-12 - [c102]Liang Yang, Fengqing Zhou, Hongfei Lin, Jian Wang, Shaowu Zhang:
Chinese Emotion Commonsense Knowledge Base Construction and Its Application. CLSW 2018: 136-146 - [c101]Yufeng Diao, Hongfei Lin, Di Wu, Liang Yang, Kan Xu, Zhihao Yang, Jian Wang, Shaowu Zhang, Bo Xu, Dongyu Zhang:
WECA:A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition. EMNLP 2018: 2507-2516 - [c100]Bo Xu, Dongyu Zhang, Shaowu Zhang, Hengchao Li, Hongfei Lin:
Stock Market Trend Prediction Using Recurrent Convolutional Neural Networks. NLPCC (2) 2018: 166-177 - [c99]Yunsheng Shi, Jun Meng, Jian Wang, Hongfei Lin, Yumeng Li:
A Normalized Encoder-Decoder Model for Abstractive Summarization Using Focal Loss. NLPCC (2) 2018: 383-392 - [c98]Tianchi Yue, Chen Chen, Shaowu Zhang, Hongfei Lin, Liang Yang:
Ensemble of Neural Networks with Sentiment Words Translation for Code-Switching Emotion Detection. NLPCC (2) 2018: 411-419 - [c97]Xiaoyu Chen, Jian Wang, Yuqi Ren, Tong Liu, Hongfei Lin:
NLPCC 2018 Shared Task User Profiling and Recommendation Method Summary by DUTIR_9148. NLPCC (2) 2018: 420-428 - 2017
- [j57]Xiaocong Wei, Hongfei Lin, Yuhai Yu, Liang Yang:
Low-Resource Cross-Domain Product Review Sentiment Classification Based on a CNN with an Auxiliary Large-Scale Corpus. Algorithms 10(3): 81 (2017) - [j56]Wei Zheng, Hongfei Lin, Ling Luo, Zhehuan Zhao, Zhengguang Li, Yijia Zhang, Zhihao Yang, Jian Wang:
An attention-based effective neural model for drug-drug interactions extraction. BMC Bioinform. 18(1): 445:1-445:11 (2017) - [j55]Xiaoxia Liu, Zhihao Yang, Hongfei Lin, Michael Simmons, Zhiyong Lu:
DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks. BMC Syst. Biol. 11(3): 23:1-23:11 (2017) - [j54]Jian Wang, Jiqing Sun, Hongfei Lin, Hualei Dong, Shaowu Zhang:
Convolutional neural networks for expert recommendation in community question answering. Sci. China Inf. Sci. 60(11): 110102:1-110102:9 (2017) - [j53]Yuhai Yu, Hongfei Lin, Jiana Meng, Xiaocong Wei, Zhehuan Zhao:
Assembling Deep Neural Networks for Medical Compound Figure Detection. Inf. 8(2): 48 (2017) - [j52]Yuhai Yu, Hongfei Lin, Jiana Meng, Xiaocong Wei, Hai Guo, Zhehuan Zhao:
Deep Transfer Learning for Modality Classification of Medical Images. Inf. 8(3): 91 (2017) - [j51]Xiaocong Wei, Hongfei Lin, Liang Yang, Yuhai Yu:
A Convolution-LSTM-Based Deep Neural Network for Cross-Domain MOOC Forum Post Classification. Inf. 8(3): 92 (2017) - [j50]Anran Wang, Jian Wang, Hongfei Lin, Jianhai Zhang, Zhihao Yang, Kan Xu:
A multiple distributed representation method based on neural network for biomedical event extraction. BMC Medical Informatics Decis. Mak. 17(S-3): 59-66 (2017) - [c96]Yan Wang, Jian Wang, Hongfei Lin, Shaowu Zhang, Lishuang Li:
Biomedical event trigger detection based on bidirectional LSTM and CRF. BIBM 2017: 445-450 - [c95]Zhehuan Zhao, Zhihao Yang, Cong Sun, Lei Wang, Hongfei Lin:
A hybrid protein-protein interaction triple extraction method for biomedical literature. BIBM 2017: 1515-1521 - [c94]Bo Xu, Hongfei Lin, Lin Wang, Yuan Lin, Kan Xu, Xiaocong Wei, Dong Huang:
Tripartite-Replicated Softmax Model for Document Representations. CCIR 2017: 109-121 - [c93]Jing Qin, Hongfei Lin, Dongyu Zhang, Shaowu Zhang, Xiaocong Wei:
Musical Query-by-Semantic-Description Based on Convolutional Neural Network. CCIR 2017: 237-248 - [c92]Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu:
Learning to Rank with Query-level Semi-supervised Autoencoders. CIKM 2017: 2395-2398 - [c91]Kai Guo, Hongfei Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Kan Xu:
Detecting Potential Adverse Drug Reactions Using Association Rules and Embedding Models. ISBRA 2017: 373-378 - [c90]Lingfei Qian, Anran Wang, Yan Wang, Yuhang Huang, Jian Wang, Hongfei Lin:
First Place Solution for NLPCC 2017 Shared Task Social Media User Modeling. NLPCC 2017: 63-72 - [c89]Yufeng Diao, Liang Yang, Dongyu Zhang, Linhong Xu, Xiaochao Fan, Di Wu, Hongfei Lin:
Homographic Puns Recognition Based on Latent Semantic Structures. NLPCC 2017: 565-576 - [c88]Dongzhen Wen, Liang Yang, Hengchao Li, Kai Guo, Peng Fei, Hongfei Lin:
NLPCC 2017 Shared Task Social Media User Modeling Method Summary by DUTIR_923. NLPCC 2017: 622-631 - [c87]Yuan Lin, Bo Xu, Luying Li, Hongfei Lin, Kan Xu:
Social Annotation for Query Expansion Learning from Multiple Expansion Strategies. SMP 2017: 181-192 - 2016
- [j49]Yuhai Yu, Hongfei Lin, Jiana Meng, Zhehuan Zhao:
Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks. Algorithms 9(2): 41 (2016) - [j48]Zhehuan Zhao, Zhihao Yang, Ling Luo, Hongfei Lin, Jian Wang:
Drug drug interaction extraction from biomedical literature using syntax convolutional neural network. Bioinform. 32(22): 3444-3453 (2016) - [j47]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang:
Construction of dynamic probabilistic protein interaction networks for protein complex identification. BMC Bioinform. 17: 186 (2016) - [j46]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yiwei Liu, Shengtian Sang:
A method for predicting protein complex in dynamic PPI networks. BMC Bioinform. 17(S-7): 229 (2016) - [j45]Ahmed AbdoAziz Ahmed Abdulla, Hongfei Lin, Bo Xu, Santosh Kumar Banbhrani:
Improving biomedical information retrieval by linear combinations of different query expansion techniques. BMC Bioinform. 17(S-7): 238 (2016) - [j44]Liang Yang, Hongfei Lin, Yuan Lin, Shengbo Liu:
Detection and Extraction of Hot Topics on Chinese Microblogs. Cogn. Comput. 8(4): 577-586 (2016) - [j43]Zhehuan Zhao, Zhihao Yang, Hongfei Lin, Jian Wang, Song Gao:
A protein-protein interaction extraction approach based on deep neural network. Int. J. Data Min. Bioinform. 15(2): 145-164 (2016) - [j42]Jian Wang, Honglei Li, Yuan An, Hongfei Lin, Zhihao Yang:
Biomedical event trigger detection based on convolutional neural network. Int. J. Data Min. Bioinform. 15(3): 195-213 (2016) - [j41]Shichang Sun, Jian Yun, Hongfei Lin, Nanxun Zhang, Ajith Abraham, Hongbo Liu:
Granular transfer learning using type-2 fuzzy HMM for text sequence recognition. Neurocomputing 214: 126-133 (2016) - [j40]Liang Yang, Bing Liu, Hongfei Lin, Yuan Lin:
Combining local and global information for product feature extraction in opinion documents. Inf. Process. Lett. 116(10): 623-627 (2016) - [j39]Bo Xu, Hongfei Lin, Yuan Lin:
Assessment of learning to rank methods for query expansion. J. Assoc. Inf. Sci. Technol. 67(6): 1345-1357 (2016) - [j38]Wei Zheng, Hongfei Lin, Zhehuan Zhao, Bo Xu, Yijia Zhang, Zhihao Yang, Jian Wang:
A graph kernel based on context vectors for extracting drug-drug interactions. J. Biomed. Informatics 61: 34-43 (2016) - [c86]Kan Xu, Hongfei Lin, Yuan Lin, Bo Xu, Liang Yang, Shaowu Zhang:
Patent Retrieval Based on Multiple Information Resources. AIRS 2016: 125-137 - [c85]Yuan Lin, Liang Yang, Bo Xu, Hongfei Lin, Kan Xu:
Learning to Rank with Likelihood Loss Functions. AIRS 2016: 329-334 - [c84]Xiaoxia Liu, Zhihao Yang, Hongfei Lin, Michael Simmons, Zhiyong Lu:
DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks. BCB 2016: 527 - [c83]Anran Wang, Jian Wang, Hongfei Lin, Jianhai Zhang, Zhihao Yang, Kan Xu:
Biomedical event extraction based on distributed representation and deep learning. BIBM 2016: 775 - [c82]Zhehuan Zhao, Zhihao Yang, Ling Luo, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang:
ML-CNN: A novel deep learning based disease named entity recognition architecture. BIBM 2016: 794 - [c81]Zhiheng Li, Zhihao Yang, Hongfei Lin, Jian Wang, Yingyi Gui, Yin Zhang, Lei Wang:
CIDExtractor: A chemical-induced disease relation extraction system for biomedical literature. BIBM 2016: 994-1001 - [c80]Ziwei Zhou, Yingyi Gui, Zhihao Yang, Xiaoxia Liu, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Disease-specific protein complex detection in the human protein interaction network with a supervised learning method. BIBM 2016: 1296-1301 - [c79]Honglei Li, Jianhai Zhang, Jian Wang, Hongfei Lin, Zhihao Yang:
DUTIR in BioNLP-ST 2016: Utilizing Convolutional Network and Distributed Representation to Extract Complicate Relations. BioNLP (Shared Task) 2016: 93-100 - [c78]Bo Xu, Hongfei Lin, Mingzhen Zhao, Zhihao Yang, Jian Wang, Shaowu Zhang:
Detecting Potential Adverse Drug Reactions from Health-Related Social Networks. NLPCC/ICCPOL 2016: 523-530 - [c77]Jian Wang, Jiqing Sun, Hongfei Lin, Hualei Dong, Shaowu Zhang:
Predicting Best Answerers for New Questions: An Approach Leveraging Convolution Neural Networks in Community Question Answering. SMP 2016: 29-41 - [c76]Bo Xu, Hongfei Lin, Huihui Hao, Zhihao Yang, Jian Wang, Shaowu Zhang:
Generating User-oriented Text Summarization Based on Social Networks Using Topic Models. SMP 2016: 186-193 - [e3]Maosong Sun, Xuanjing Huang, Hongfei Lin, Zhiyuan Liu, Yang Liu:
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings. Lecture Notes in Computer Science 10035, 2016, ISBN 978-3-319-47673-5 [contents] - [e2]Yuming Li, Guoxiong Xiang, Hongfei Lin, Mingwen Wang:
Social Media Processing - 5th National Conference, SMP 2016, Nanchang, China, October 29-30, 2016, Proceedings. Communications in Computer and Information Science 669, 2016, ISBN 978-981-10-2992-9 [contents] - 2015
- [j37]Fengying Yu, Zhihao Yang, Xiaohua Hu, Yuanyuan Sun, Hongfei Lin, Jian Wang:
Protein complex detection in PPI networks based on data integration and supervised learning method. BMC Bioinform. 16(S12): S3 (2015) - [j36]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang:
Integrating experimental and literature protein-protein interaction data for protein complex prediction. BMC Genom. 16(S-2): S4 (2015) - [j35]Xiaoling Sun, Hongfei Lin, Kan Xu:
A social network model driven by events and interests. Expert Syst. Appl. 42(9): 4229-4238 (2015) - [j34]Yuan Lin, Hongfei Lin, Kan Xu, Ajith Abraham, Hongbo Liu:
Group-enhanced ranking. Neurocomputing 150: 99-105 (2015) - [j33]Xiaoling Sun, Hongfei Lin, Kan Xu, Kun Ding:
How we collaborate: characterizing, modeling and predicting scientific collaborations. Scientometrics 104(1): 43-60 (2015) - [c75]Jian Wang, Jianhai Zhang, Yuan An, Hongfei Lin, Zhihao Yang, Yijia Zhang, Yuanyuan Sun:
Biomedical event trigger detection by dependency-based word embedding. BIBM 2015: 429-432 - [c74]Bo Xu, Hongfei Lin, Yuan Lin, Yunlong Ma, Liang Yang, Jian Wang, Zhihao Yang:
Learning to rank for biomedical information retrieval. BIBM 2015: 464-469 - [c73]Zhehuan Zhao, Zhihao Yang, Ling Luo, Hongfei Lin, Jian Wang, Song Gao:
Deep neural network based protein-protein interaction extraction from biomedical literature. BIBM 2015: 1156 - [c72]Mingzhen Zhao, Bo Xu, Hongfei Lin, Zhihao Yang, Jian Wang:
Discover potential adverse drug reactions using the skip-gram model. BIBM 2015: 1765-1767 - [c71]Liang Yang, Shaowu Zhang, Hongfei Lin, Xianhui Wei:
Incorporating Sample Filtering into Subject-Based Ensemble Model for Cross-Domain Sentiment Classification. CCL 2015: 116-127 - [c70]Hualei Dong, Jian Wang, Hongfei Lin, Bo Xu, Zhihao Yang:
Predicting Best Answerers for New Questions: An Approach Leveraging Distributed Representations of Words in Community Question Answering. FCST 2015: 13-18 - [c69]Shaowu Zhang, Huali Liu, Liang Yang, Hongfei Lin:
A Cross-Domain Sentiment Classification Method Based on Extraction of Key Sentiment Sentence. NLPCC 2015: 90-101 - [c68]Xiaoxia Liu, Hongfei Lin, Zhihao Yang:
Predicting User Relationship from Scratch. SMP 2015: 176-183 - 2014
- [j32]Yue Shang, Huihui Hao, Jiajin Wu, Hongfei Lin:
Learning to rank-based gene summary extraction. BMC Bioinform. 15(S-12): S10 (2014) - [j31]Liangxi Cheng, Hongfei Lin, Feng Zhou, Zhihao Yang, Jian Wang:
Enhancing the accuracy of knowledge discovery: a supervised learning method. BMC Bioinform. 15(S-12): S9 (2014) - [c67]Fengying Yu, Zhihao Yang, Xiaohua Hu, Yuanyuan Sun, Hongfei Lin, Jian Wang:
Data integration and supervised learning based protein complex detection method. BIBM 2014: 144-149 - [c66]Xiaoxia Liu, Zhihao Yang, Ziwei Zhou, Yuanyuan Sun, Hongfei Lin, Jian Wang:
Exploring the relation between the characteristics of protein interaction networks and the performances of computational complex detection methods. BIBM 2014: 192 - [c65]Xiaofang Wu, Zhihao Yang, Zhiheng Li, Yuanyuan Sun, Hongfei Lin, Jian Wang:
Deep graph search based disease related knowledge summarization from biomedical literature. BIBM 2014: 505 - [c64]Yuan Lin, Hongfei Lin, Ping Zhang, Bo Xu:
GPQ: Directly Optimizing Q-measure based on Genetic Programming. CIKM 2014: 1859-1862 - [c63]Jing Qin, Xinyue Liu, Hongfei Lin:
Audio Retrieval Based on Manifold Ranking. PAAP 2014: 187-190 - 2013
- [j30]Xiaoling Sun, Hongfei Lin:
Topical community detection from mining user tagging behavior and interest. J. Assoc. Inf. Sci. Technol. 64(2): 321-333 (2013) - [j29]Yuan Lin, Hongfei Lin, Kan Xu, Xiaoling Sun:
Learning to rank using smoothing methods for language modeling. J. Assoc. Inf. Sci. Technol. 64(4): 818-828 (2013) - [j28]Jian Wang, Qian Xu, Hongfei Lin, Zhihao Yang, Yanpeng Li:
Exploring Useful Features for Biomedical Event Trigger Detection. J. Multiple Valued Log. Soft Comput. 20(5-6): 557-570 (2013) - [j27]Xinyue Liu, You Wang, Shaoping Zhu, Hongfei Lin:
Combating Web spam through trust-distrust propagation with confidence. Pattern Recognit. Lett. 34(13): 1462-1469 (2013) - [j26]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yanpeng Li, Bo Xu:
Protein Complex Prediction in Large Ontology Attributed Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 729-741 (2013) - [c62]Fengying Yu, Zhihao Yang, Nan Tang, Jiajin Wu, Hongfei Lin, Jian Wang:
Predicting protein complexes in protein interaction networks: A supervised learning based method. BIBM 2013: 188 - [c61]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Bo Xu:
Integrating multiple biomedical resources for protein complex prediction. BIBM 2013: 456-459 - [c60]Yue Shang, Hongfei Lin, Huihui Hao, Jiajin Wu:
Learning to rank based gene summary extraction. BIBM 2013: 618 - [c59]Liangxi Cheng, Hongfei Lin, Feng Zhou, Zhihao Yang:
Enhancing the accuracy of knowledge discovery: A supervised learning method. BIBM 2013: 620 - [c58]Cunhui Shi, Bo Xu, Hongfei Lin, Qing Guo:
A Time-Sensitive Model for Microblog Retrieval. NLPCC 2013: 402-409 - 2012
- [j25]Zheng Ye, Jimmy Xiangji Huang, Ben He, Hongfei Lin:
Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval. J. Assoc. Inf. Sci. Technol. 63(12): 2474-2487 (2012) - [j24]Xinyue Liu, Hongfei Lin, Liguo Zhang:
An Attractive Force Model for Weighting Links in Query-Dependant Web Page Ranking. J. Comput. 7(1): 124-129 (2012) - [j23]Xinyue Liu, Hongfei Lin, Cong Zhang:
An Improved HITS Algorithm Based on Page-query Similarity and Page Popularity. J. Comput. 7(1): 130-134 (2012) - [j22]Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yanpeng Li:
Hash Subgraph Pairwise Kernel for Protein-Protein Interaction Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 1190-1202 (2012) - [c57]Xueni Li, Shaowu Zhang, Liang Yang, Hongfei Lin:
Sells Out or Piles Up? A Sentiment Autoregressive Model for Predicting Sales Performance. AIRS 2012: 89-102 - [c56]Kejiang Ren, Shaowu Zhang, Hongfei Lin:
Where Are You Settling Down: Geo-locating Twitter Users Based on Tweets and Social Networks. AIRS 2012: 150-161 - [c55]Tianshu Chang, Hongfei Lin, Yuan Lin:
Feature Transformation Method Enhanced Vandalism Detection in Wikipedia. AIRS 2012: 187-198 - [c54]Qing Guo, Wenfei Liu, Yuan Lin, Hongfei Lin:
Query Expansion Based on User Quality in Folksonomy. AIRS 2012: 396-405 - [c53]Zhihao Yang, Zhehuan Zhao, Yanpeng Li, Yuncui Hu, Hongfei Lin:
PPIExtractor: A protein-protein interaction Extractor for biomédical literature. BIBM 2012: 1-6 - [c52]Jian Wang, Qian Xu, Hongfei Lin, Zhihao Yang, Yanpeng Li:
Combining labeled and unlabeled data for biomédical event extraction. BIBM Workshops 2012: 594-601 - [c51]Yanhua Wang, Zhihao Yang, Hongfei Lin, Yanpeng Li:
A syntactic rule-based method for automatic pathway information extraction from biomédical literature. BIBM Workshops 2012: 626-633 - [c50]Bo Xu, Hongfei Lin, Zhihao Yang, Kavishwar B. Wagholikar, Hongfang Liu:
Classifying protein complexes from candidate subgraphs using fuzzy machine learning model. BIBM Workshops 2012: 640-647 - [c49]Liang Yang, Hongfei Lin:
Construction and Application of Chinese Emotional Corpus. CLSW 2012: 122-133 - [c48]Jiana Meng, Hongfei Lin:
Transfer learning based on graph ranking. FSKD 2012: 1353-1357 - [c47]Lijuan Marissa Zhou, Hongfei Lin, Cathal Gurrin:
EMIR: A Novel Music Retrieval System for Mobile Devices Incorporating Analysis of User Emotion. MMM 2012: 627-629 - [c46]Shichang Sun, Hongbo Liu, Hongfei Lin, Ajith Abraham:
Twitter part-of-speech tagging using pre-classification Hidden Markov model. SMC 2012: 1118-1123 - 2011
- [j21]Zhihao Yang, Nan Tang, Xiao Zhang, Hongfei Lin, Yanpeng Li, Zhiwei Yang:
Multiple kernel learning in protein-protein interaction extraction from biomedical literature. Artif. Intell. Medicine 51(3): 163-173 (2011) - [j20]Jiana Meng, Hongfei Lin, Yuhai Yu:
A two-stage feature selection method for text categorization. Comput. Math. Appl. 62(7): 2793-2800 (2011) - [j19]Xinyue Liu, Xing Yong, Hongfei Lin:
An improved spectral clustering algorithm based on local neighbors in kernel space. Comput. Sci. Inf. Syst. 8(4): 1143-1157 (2011) - [j18]Zheng Ye, Jimmy Xiangji Huang, Hongfei Lin:
Incorporating rich features to boost information retrieval performance: A SVM-regression based re-ranking approach. Expert Syst. Appl. 38(6): 7569-7574 (2011) - [j17]Ning Xia, Hongfei Lin, Zhihao Yang, Yanpeng Li:
Combining multiple disambiguation methods for gene mention normalization. Expert Syst. Appl. 38(7): 7994-7999 (2011) - [j16]Ran Chen, Hongfei Lin, Zhihao Yang:
Passage retrieval based hidden knowledge discovery from biomedical literature. Expert Syst. Appl. 38(8): 9958-9964 (2011) - [j15]Jiana Meng, Hongfei Lin, Yanpeng Li:
Knowledge transfer based on feature representation mapping for text classification. Expert Syst. Appl. 38(8): 10562-10567 (2011) - [j14]Zheng Ye, Jimmy Xiangji Huang, Hongfei Lin:
Finding a good query-related topic for boosting pseudo-relevance feedback. J. Assoc. Inf. Sci. Technol. 62(4): 748-760 (2011) - [j13]Yijia Zhang, Hongfei Lin, Zhihao Yang, Yanpeng Li:
Neighborhood hash graph kernel for protein-protein interaction extraction. J. Biomed. Informatics 44(6): 1086-1092 (2011) - [j12]Xinyue Liu, Fenglong Ma, Hongfei Lin:
Topic Detection with Hypergraph Partition Algorithm. J. Softw. 6(12): 2407-2415 (2011) - [j11]Jing Qin, Hongfei Lin, Xinyue Liu:
Query by Humming Systems Using Melody Matching Model Based on the Genetic Algorithm. J. Softw. 6(12): 2416-2420 (2011) - [j10]Xinyue Liu, Hongfei Lin, Ye Tian:
Segmenting Webpage with Gomory-Hu Tree Based Clustering. J. Softw. 6(12): 2421-2425 (2011) - [j9]Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhiahi Yang:
A Framework for Semisupervised Feature Generation and Its Applications in Biomedical Literature Mining. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 294-307 (2011) - [c45]Ping Zhang, Hongfei Lin, Yuan Lin, Jiajin Wu:
Learning to Rank by Optimizing Expected Reciprocal Rank. AIRS 2011: 93-102 - [c44]Jian Wang, Dong Xie, Hongfei Lin, Zhihao Yang, Yijia Zhang:
Identifying Protein Complexes from PPI Networks Using GO Semantic Similarity. BIBM 2011: 582-585 - [c43]Yunlong Ma, Hongfei Lin, Yuan Lin:
Selecting related terms in query-logs using two-stage SimRank. CIKM 2011: 1969-1972 - [c42]Yuan Lin, Hongfei Lin, Jiajin Wu, Kan Xu:
Learning to rank with cross entropy. CIKM 2011: 2057-2060 - [c41]Xinyue Liu, Linlin Zong, Xianchao Zhang, Hongfei Lin:
Active Semi-supervised Spectral Clustering. PAAP 2011: 95-99 - [c40]Zheng Ye, Xiangji Huang, Hongfei Lin:
A Bayesian network approach to context sensitive query expansion. SAC 2011: 1138-1142 - [c39]Yuan Lin, Hongfei Lin, Song Jin, Zheng Ye:
Social annotation in query expansion: a machine learning approach. SIGIR 2011: 405-414 - [c38]Jiajin Wu, Zhihao Yang, Yuan Lin, Hongfei Lin, Zheng Ye, Kan Xu:
Learning to rank using query-level regression. SIGIR 2011: 1091-1092 - [c37]Shichang Sun, Hongfei Lin, Hongbo Liu:
A hybrid PSO-Viterbi algorithm for HMMs parameters weighting in Part-of-Speech tagging. SoCPaR 2011: 518-522 - [c36]Wenfei Liu, Hongfei Lin, Yunlong Ma, Tianshu Chang:
DUTIR at the Session Track in TREC 2011. TREC 2011 - [c35]Cunhui Shi, Kejiang Ren, Hongfei Lin, Shaowu Zhang:
DUTIR at TREC 2011 Microblog Track. TREC 2011 - [c34]Ping Zhang, Hongfei Lin, Jiajin Wu, Yuan Lin:
DUTIR at TREC 2011 Chemistry Track. TREC 2011 - 2010
- [j8]Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang:
Learning an enriched representation from unlabeled data for protein-protein interaction extraction. BMC Bioinform. 11(S-2): 7 (2010) - [j7]Zhihao Yang, Hongfei Lin, Yanpeng Li:
BioPPISVMExtractor: A protein-protein interaction extractor for biomedical literature using SVM and rich feature sets. J. Biomed. Informatics 43(1): 88-96 (2010) - [j6]Xiuying Li, Chao Che, Xiaoxia Liu, Hongfei Lin, Rongpei Wang:
Corpus-based Extraction of Chinese Historical Term Translation Equivalents. Int. J. Asian Lang. Process. 20(2): 63-74 (2010) - [c33]Lisha Wang, Yanzhao Dou, Xiaoling Sun, Hongfei Lin:
K-means and Graph-based Approaches for Chinese Word Sense Induction Task. CIPS-SIGHAN 2010 - [c32]Zheng Ye, Ben He, Xiangji Huang, Hongfei Lin:
Revisiting Rocchio's Relevance Feedback Algorithm for Probabilistic Models. AIRS 2010: 151-161 - [c31]Yunlong Ma, Hongfei Lin, Song Jin:
A Revised SimRank Approach for Query Expansion. AIRS 2010: 564-575 - [c30]Jing Li, Hongfei Lin, Lijuan Marissa Zhou:
Emotion Tag Based Music Retrieval Algorithm. AIRS 2010: 599-609 - [c29]Zheng Ye, Jimmy Xiangji Huang, Song Jin, Hongfei Lin:
Exploring Social Annotation Tags to Enhance Information Retrieval Performance. AMT 2010: 255-266 - [c28]Bo Xu, Hongfei Lin, Zhihao Yang:
Ontology integration to identify protein complex in protein interaction networks. BIBM 2010: 290-295 - [c27]Zhihao Yang, Yuan Lin, Jiajin Wu, Nan Tang, Hongfei Lin, Yanpeng Li:
Ranking SVM for multiple kernels output combination in protein-protein interaction extraction from biomedical literature. BIBM 2010: 595-598 - [c26]Yuan Lin, Hongfei Lin, Zheng Ye, Song Jin, Xiaoling Sun:
Learning to rank with groups. CIKM 2010: 1589-1592 - [c25]Jiana Meng, Hongfei Lin:
A two-stage feature selection method for text categorization. FSKD 2010: 1492-1496 - [c24]Xinyue Liu, Fenglong Ma, Hongfei Lin, Hong Shen:
Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection. PAAP 2010: 269-276
2000 – 2009
- 2009
- [j5]Yanpeng Li, Hongfei Lin, Zhihao Yang:
Incorporating rich background knowledge for gene named entity classification and recognition. BMC Bioinform. 10 (2009) - [j4]Zhihao Yang, Hongfei Lin, Baodong Wu:
BioPPIExtractor: A protein-protein interaction extraction system for biomedical literature. Expert Syst. Appl. 36(2): 2228-2233 (2009) - [j3]Baojin Cui, Hongfei Lin, Zhihao Yang:
Uncertainty sampling-based active learning for protein-protein interaction extraction from biomedical literature. Expert Syst. Appl. 36(7): 10344-10350 (2009) - [c23]Yuan Lin, Hongfei Lin, Zhihao Yang, Sui Su:
A Boosting Approach for Learning to Rank Using SVD with Partially Labeled Data. AIRS 2009: 330-338 - [c22]Yanpeng Li, Hongfei Lin, Zhihao Yang:
Applying Feature Coupling Generalization for Protein-Protein Interaction Extraction. BIBM 2009: 396-400 - [c21]Zheng Ye, Xiangji Huang, Qinmin Hu, Hongfei Lin:
An Integrated Approach for Medical Image Retrieval through Combining Textual and Visual Features. CLEF (2) 2009: 195-202 - [c20]Zheng Ye, Xiangji Huang, Hongfei Lin:
Towards A Better Performance for Medical Image Retrieval Using An Integrated Approach. CLEF (Working Notes) 2009 - [c19]Song Jin, Hongfei Lin, Sui Su:
Query expansion based on folksonomy tag co-occurrence analysis. GrC 2009: 300-305 - [c18]Bo Xu, Hongfei Lin, Baoyan Liu:
Study on question answering system for biomedical domain. GrC 2009: 626-629 - [c17]Zheng Ye, Xiangji Huang, Hongfei Lin:
A graph-based approach to mining multilingual word associations from wikipedia. SIGIR 2009: 690-691 - [c16]Song Jin, Zheng Ye, Hongfei Lin:
DUTIR at TREC 2009: Chemical IR Track. TREC 2009 - [c15]Zheng Ye, Xiangji Huang, Ben He, Hongfei Lin:
York University at TREC 2009: Relevance Feedback Track. TREC 2009 - 2008
- [j2]Zhihao Yang, Hongfei Lin, Yanpeng Li:
Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature. Comput. Biol. Chem. 32(4): 287-291 (2008) - [j1]Zhihao Yang, Hongfei Lin, Yanpeng Li:
Exploiting the contextual cues for bio-entity name recognition in biomedical literature. J. Biomed. Informatics 41(4): 580-587 (2008) - [c14]Yanpeng Li, Hongfei Lin, Zhihao Yang:
Enhancing Biomedical Named Entity Classification Using Terabyte Unlabeled Data. AIRS 2008: 605-612 - [c13]Wei Guo, Hongfei Lin:
Automatic Opinion Analysis Based on SVM and Distance-Weighted Computing. ALPIT 2008: 93-98 - [c12]Qin Tang, Hongfei Lin, Rui Song:
Research on Focal Figures-Oriented Sentimental Question Answering. ALPIT 2008: 168-174 - [c11]Jianmei Chen, Wei Guo, Fengming Pan, Fuyang Chang, Rui Song, Hongfei Lin:
DUTIR at TREC 2008 Blog Track. TREC 2008 - [c10]Xiaoling Sun, Yuan Lin, Hongfei Lin, Zhihao Yang:
DUTIR at TREC 2008 Relevance Feedback Track. TREC 2008 - [e1]Cheolyoung Ock, JeongYong Byun, YuDe Bi, Hongfei Lin:
ALPIT 2008, Proceedings of The Seventh International Conference on Advanced Language Processing and Web Information Technology, Dalian University of Technology, Liaoning, China, 23-25 July 2008. IEEE Computer Society 2008, ISBN 978-0-7695-3273-8 [contents] - 2007
- [c9]Linhong Xu, Hongfei Lin:
Ontology-Driven Affective Chinese Text Analysis and Evaluation Method. ACII 2007: 723-724 - [c8]Ran Chen, Hongfei Lin, Zhihao Yang:
Two Phase Indexes Based Passage Retrieval in Biomedical Texts. LSMS (1) 2007: 746-755 - [c7]Hongfei Lin, Yanpeng Li, Zhihao Yang:
Incorporating Dictionary Features into Conditional Random Fields for Gene/Protein Named Entity Recognition. PAKDD Workshops 2007: 162-173 - [c6]Jianmei Chen, Hui Ren, Linhong Xu, Hongfei Lin, Zhihao Yang:
DUTIR at TREC 2007 Enterprise Track. TREC 2007 - [c5]Rui Song, Qin Tang, Daming Shi, Hongfei Lin, Zhihao Yang:
DUTIR at TREC 2007 Blog Track. TREC 2007 - [c4]Zhihao Yang, Hongfei Lin, Baojin Cui, Yanpeng Li, Xiao Zhang:
DUTIR at TREC 2007 Genomics Track. TREC 2007 - 2006
- [c3]Zhihao Yang, Hongfei Lin, Yanpeng Li, Linhong Xu, Yu Pan, Baoyan Liu:
DUTIR at TREC 2006: Genomics and Enterprise Tracks. TREC 2006 - 2005
- [c2]Zhihao Yang, Hongfei Lin, Yanpeng Li, Baoyan Liu, Ye Lu:
TREC 2005 Genomics Track Experiments at DUTAI. TREC 2005
1990 – 1999
- 1999
- [c1]Hongfei Lin, Xuegang Zhan, Tianshun Yao:
Example-Based Chinese Text Filtering Model. ICSC 1999: 415-420
Coauthor Index
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