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ORCIDTingting He 0003
Person information
- affiliation: Central China Normal University, Wuhan, China
Other persons with the same name
- Tingting He — disambiguation page
- Tingting He 0001
![[0000-0001-6889-3333]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6889-3333")
(aka: Ting-Ting He 0001) — Zhejiang University, School of Public Affairs, Department of Land Management, Hangzhou, China - Tingting He 0002 — Beijing Jiaotong University, School of Electrical Engineering, China (and 1 more)
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2020 – today
- 2024
[j38]Miao Zhang, Tingting He, Ming Dong:
Meta-path reasoning of knowledge graph for commonsense question answering. Frontiers Comput. Sci. 18(1): 181303 (2024)- [j37]Weizhong Zhao, Junze Wu, Shujie Luo, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism. IEEE J. Biomed. Health Informatics 28(7): 4348-4360 (2024) - [j36]Yufan Wang, Tingting He, Jie Mei, Rui Fan, Xinhui Tu:
A Stack-Propagation Framework With Slot Filling for Multi-Domain Dialogue State Tracking. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1240-1254 (2024) - [c109]Ming Dong, Yujing Chen, Miao Zhang, Hao Sun, Tingting He:
Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking. ACL (Findings) 2024: 7372-7383 - [i3]Ming Dong, Kang Xue, Bolong Zheng, Tingting He:
Data-oriented Dynamic Fine-tuning Parameter Selection Strategy for FISH Mask based Efficient Fine-tuning. CoRR abs/2403.08484 (2024) - 2023
- [j35]Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang:
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health. Artif. Intell. Medicine 145: 102677 (2023) - [j34]Han Sun, Yue Wang, Zhen Xiao, Xiaoyun Huang, Haodong Wang, Tingting He, Xingpeng Jiang:
multiMiAT: an optimal microbiome-based association test for multicategory phenotypes. Briefings Bioinform. 24(2) (2023) - [j33]Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu:
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion. Briefings Bioinform. 24(2) (2023) - [j32]Weizhong Zhao, Jun Xia, Xingpeng Jiang, Tingting He:
A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms. Inf. Process. Manag. 60(1): 103114 (2023) - [j31]Jie Mei, Yufan Wang, Xinhui Tu, Ming Dong, Tingting He:
Incorporating BERT With Probability-Aware Gate for Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 826-834 (2023) - [j30]Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu:
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3635-3647 (2023) - [c108]Yufan Wang, Bowei Zou, Rui Fan, Ai Ti Aw, Tingting He:
DSPM-NLG: A Dual Supervised Pre-trained Model for Few-shot Natural Language Generation in Task-oriented Dialogue System. ACL (Findings) 2023: 12389-12402 - [c107]Yufan Wang, Jie Mei, Bowei Zou, Rui Fan, Tingting He, Ai Ti Aw:
Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios. ACL (Findings) 2023: 13508-13523 - [c106]Yi Jia, Shanshan Zheng, Tingting He, Xingpeng Jiang:
Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network. BIBM 2023: 165-170 - [c105]Shengwei Ye, Weizhong Zhao, Xiaowei Xu, Xianjun Shen, Xingpeng Jiang, Tingting He:
Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm. BIBM 2023: 739-744 - [c104]Xueling Yuan, Weizhong Zhao, Xiaowei Xu, Xinhui Tu, Xingpeng Jiang, Tingting He:
An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation. BIBM 2023: 753-758 - [c103]Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He:
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. BIBM 2023: 1643-1648 - [c102]Chengcheng Fu, Yanan Yao, Jieyu Wu, Weizhong Zhao, Tingting He, Xingpeng Jiang:
Multimodal reasoning for nutrition and human health via knowledge graph embedding. BIBM 2023: 1901-1904 - [c101]Yanan Yao, Tian Yu, Huanghan Zhan, Weizhong Zhao, Tingting He, Xingpeng Jiang:
Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning. BIBM 2023: 4465-4472 - [c100]Jie Hong, Tingting He, Jie Mei, Ming Dong, Zheming Zhang, Xinhui Tu:
A Hybrid Corpus based Fine-grained Semantic Alignment Method for Pre-trained Language Model of Ancient Chinese Poetry. IEEE Big Data 2023: 4794-4801 - 2022
- [j29]Weizhong Zhao, Shujie Luo, Haifang Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling. Briefings Bioinform. 23(3) (2022) - [j28]Han Sun, Xiaoyun Huang, Ban Huo, Yuting Tan, Tingting He, Xingpeng Jiang:
Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations. Briefings Bioinform. 23(5) (2022) - [j27]Haitong Yang, Guangyou Zhou, Tingting He:
Adversarial Separation Network for Text Style Transfer. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 24:1-24:14 (2022) - [j26]Yingjun Ma, Tingting He, Yuting Tan, Xingpeng Jiang:
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1322-1333 (2022) - [j25]Weizhong Zhao, Jinyong Zhang, Jincai Yang, Xingpeng Jiang, Tingting He:
Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2782-2793 (2022) - [c99]Wenjie Yao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen, Tingting He:
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. BIBM 2022: 627-632 - [c98]Shengwei Ye, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He:
A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning. BIBM 2022: 633-638 - [c97]Xueling Yuan, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He:
Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network. BIBM 2022: 647-652 - [c96]Rui Fan, Tingting He, Yufan Wang, Jie Hong, Xinhui Tu:
Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction. IEEE Big Data 2022: 721-726 - [c95]Miao Zhang, Rufeng Dai, Ming Dong, Tingting He:
DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering. EMNLP 2022: 5123-5133 - [c94]Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang:
Food Recommendation for Mental Health by Using Knowledge Graph Approach. HIS 2022: 231-242 - [c93]Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He:
A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. PAKDD (3) 2022: 365-378 - 2021
- [j24]Qianjun Chen, Yongchang Ding, Chang Liu, Jie Liu, Tingting He:
Research on Spider Sex Recognition From Images Based on Deep Learning. IEEE Access 9: 120985-120995 (2021) - [j23]Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li:
Efficient multiple biomedical events extraction via reinforcement learning. Bioinform. 37(13): 1891-1899 (2021) - [j22]Haitong Yang, Guangyou Zhou, Tingting He, Maoxi Li:
A Global Deep Reranking Model for Semantic Role Classification. IEICE Trans. Inf. Syst. 104-D(7): 1063-1066 (2021) - [j21]Weizhong Zhao, Dandan Fang, Jinyong Zhang, Yao Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
An effective framework for semistructured document classification via hierarchical attention model. Int. J. Intell. Syst. 36(9): 5161-5183 (2021) - [c92]Xia Sun, Chengcheng Fu, Suoqi Liu, Wenjie Chen, Ran Zhong, Tingting He, Xingpeng Jiang:
Multi-type Microbial Relation Extraction by Transfer Learning. BIBM 2021: 266-269 - [c91]Bojing Li, Duo Zhong, Xingpeng Jiang, Tingting He:
TopoPhy-CNN: Integrating Topological Information of Phylogenetic Tree for Host Phenotype Prediction From Metagenomic Data. BIBM 2021: 456-461 - [c90]Yao Zhao, Weizhong Zhao, Xingpeng Jiang, Tingting He, Bianping Su:
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning. BIBM 2021: 619-624 - [c89]Shujie Luo, Haifang Wu, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Triple-view Learning for Predicting Antibiotic Resistance Genes. BIBM 2021: 1433-1436 - [c88]Chengcheng Fu, Xiaobin Jiang, Tingting He, Xingpeng Jiang:
MDepressionKG: a knowledge graph for metabolism-depression associations. ISAIMS 2021: 63-68 - 2020
- [j20]Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He:
An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning. Int. J. Data Min. Bioinform. 23(3): 189-212 (2020) - [j19]Min Pan, Jimmy Xiangji Huang, Tingting He, Zhiming Mao, Zhiwei Ying, Xinhui Tu:
A simple kernel co-occurrence-based enhancement for pseudo-relevance feedback. J. Assoc. Inf. Sci. Technol. 71(3): 264-281 (2020) - [j18]Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 788-795 (2020) - [c87]Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. BIBM 2020: 375-380 - [c86]Jinyong Zhang, Weizhong Zhao, Jincai Yang, Xingpeng Jiang, Tingting He:
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts. BIBM 2020: 391-396 - [c85]Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li:
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases. BIBM 2020: 402-407 - [c84]Hanlin Mou, Shanshan Zheng, Haifang Wu, Bojing Li, Tingting He, Xingpeng Jiang:
Virus Named Entity Recognition based on Pre-training Model. BIBM 2020: 473-476 - [c83]Wenji Zhou, Tingting He, Miao Zhang, Rui Fan:
Effectively Incorporating Knowledge in Open-Domain Dialogue Generation. CCKS 2020: 237-249 - [c82]Chengcheng Fu, Ran Zhong, Xiaobin Jiang, Tingting He, Xingpeng Jiang:
An Integrated Knowledge Graph for Microbe-Disease Associations. HIS 2020: 79-90 - [c81]Rui Fan, Yufan Wang, Tingting He:
An End-to-End Multi-task Learning Network with Scope Controller for Emotion-Cause Pair Extraction. NLPCC (1) 2020: 764-776
2010 – 2019
- 2019
- [j17]Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou, Fanghong Jian, Tingting He:
DSPF: A Digital Signal Processing Based Framework for Information Retrieval. IEEE Access 7: 110235-110248 (2019) - [j16]Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang:
A hybrid deep learning framework for bacterial named entity recognition with domain features. BMC Bioinform. 20-S(16): 583:1-583:9 (2019) - [j15]Dan Liu, Yingjun Ma, Xingpeng Jiang, Tingting He:
Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion. BMC Bioinform. 20-S(16): 594:1-594:10 (2019) - [j14]Haitong Yang, Guangyou Zhou, Tingting He, Maoxi Li:
Adversarial Domain Adaptation Network for Semantic Role Classification. IEICE Trans. Inf. Syst. 102-D(12): 2587-2594 (2019) - [j13]Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He, Xingpeng Jiang:
An adaptive term proximity based rocchio's model for clinical decision support retrieval. BMC Medical Informatics Decis. Mak. 19-S(9): 251 (2019) - [c80]Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He:
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention. BIBM 2019: 583-589 - [c79]Qing Zhu, Chang Han, Qiang Zhu, Tingting He, Xingpeng Jiang:
Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction. BIBM 2019: 628-633 - [c78]Ran Zhong, Xusheng Li, Xia Sun, Chengcheng Fu, Tingting He, Xingpeng Jiang:
Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM. BIBM 2019: 723-726 - [c77]Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang:
Bacterial Named Entity Recognition Based on Language Model. BIBM 2019: 2715-2721 - [c76]Yufan Wang, Tingting He, Rui Fan, Wenji Zhou, Xinhui Tu:
Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model. IEEE BigData 2019: 960-967 - [c75]Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. IEEE BigData 2019: 1096-1102 - [c74]Xinhui Tu, Jimmy X. Huang, Jing Luo, Runjie Zhu, Tingting He:
Parrot: A Python-based Interactive Platform for Information Retrieval Research. SIGIR 2019: 1289-1292 - 2018
- [j12]Xianchao Zhu, Xianjun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu, Xiaohua Hu:
Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data. BMC Bioinform. 19-S(20): 37-48 (2018) - [c73]Dan Liu, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks. BIBM 2018: 108-113 - [c72]Yingiun Ma, Limin Yu, Tingting He, Xiaohua Hu, Xingpeng Jiang:
Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity. BIBM 2018: 193-196 - [c71]Yingiun Ma, Leixin Ge, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction. BIBM 2018: 197-200 - [c70]Xianjun Shen, Xue Gong, Xingpeng Jiang, Jincai Yang, Tingting He, Xiaohua Hu:
High-order Organization of Weighted Microbial Interaction Network. BIBM 2018: 206-209 - [c69]Qiang Zhu, Min Pan, Lei Liu, Bojing Li, Tingting He, Xingpeng Jiang, Xiaohua Hu:
An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies. BIBM 2018: 248-253 - [c68]Qiang Zhu, Qing Zhu, Min Pan, Xingpeng Jiang, Xiaohua Hu, Tingting He:
The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification. BIBM 2018: 279-282 - [c67]Xusheng Li, Xiaoyan Wang, Ran Zhong, Duo Zhong, Tingting He, Xiaohua Hu, Xingpeng Jiang:
A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition. BIBM 2018: 428-433 - [c66]Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang:
ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks. ICIC (3) 2018: 7-18 - [c65]Min Pan, Yue Zhang, Tingting He, Xingpeng Jiang:
An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval. ICIC (2) 2018: 93-99 - [c64]Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He:
A New Term Frequency Normalization Model for Probabilistic Information Retrieval. SIGIR 2018: 1237-1240 - 2017
- [c63]Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu:
Bacterial named entity recognition based on dictionary and conditional random field. BIBM 2017: 439-444 - [c62]Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient. BIBM 2017: 604-607 - [c61]Dan Liu, Xingpeng Jiang, Huiru Jane Zheng, Bo Xie, Haiying Wang, Tingting He, Xiaohua Hu:
The modularity of microbial interaction network in healthy human saliva: Stability and specificity. BIBM 2017: 2048-2053 - [c60]Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Li Gao, Tingting He, Xiaohua Hu:
Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization. IEEE BigData 2017: 3882-3887 - [c59]Huosong Xia, Tingting He, Fang Li, Jin Long:
A Framework of Rural E-commerce in Context of Big Data in China. WHICEB 2017: 52 - 2016
- [j11]Xingpeng Jiang, Xiaohua Hu, Tingting He:
Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance. Sci. China Inf. Sci. 59(7): 070104:1-070104:7 (2016) - [j10]Tingting He, Peng Li, Xiaohua Hu, Xianjun Shen, Yan Wang, Junmin Zhao:
A novel proteins complex identification based on connected affinity and multi-level seed extension. Int. J. Data Min. Bioinform. 14(1): 51-70 (2016) - [j9]Guangyou Zhou, Zhiyuan Zhu, Tingting He, Xiaohua Tony Hu:
Cross-lingual sentiment classification with stacked autoencoders. Knowl. Inf. Syst. 47(1): 27-44 (2016) - [j8]Guangyou Zhou, Yin Zhou, Tingting He, Wensheng Wu:
Learning semantic representation with neural networks for community question answering retrieval. Knowl. Based Syst. 93: 75-83 (2016) - [j7]Guangyou Zhou, Zhiwen Xie, Tingting He, Jun Zhao, Xiaohua Tony Hu:
Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization. IEEE ACM Trans. Audio Speech Lang. Process. 24(7): 1305-1314 (2016) - [c58]Guangyou Zhou, Zhiwen Xie, Jimmy Xiangji Huang, Tingting He:
Bi-Transferring Deep Neural Networks for Domain Adaptation. ACL (1) 2016 - [c57]Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Multi-view clustering microbiome data by joint symmetric nonnegative matrix factorization with Laplacian regularization. BIBM 2016: 625-630 - [c56]Xianjun Shen, Yao Chen, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang:
Predicting disease-microbe association by random walking on the heterogeneous network. BIBM 2016: 771-774 - [c55]Xianjun Shen, Jin Zhou, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang, Dan Xie:
A novel identified temporal protein complexes strategy inspired by density-distance and brainstorming process. BIBM 2016: 1269-1274 - [c54]Zhiwen Xie, Zhao Zeng, Guangyou Zhou, Tingting He:
Knowledge Base Question Answering Based on Deep Learning Models. NLPCC/ICCPOL 2016: 300-311 - [c53]Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, Po Hu:
A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling. SIGIR 2016: 733-736 - [c52]Xinhui Tu, Jimmy Xiangji Huang, Jing Luo, Tingting He:
Exploiting Semantic Coherence Features for Information Retrieval. SIGIR 2016: 837-840 - [c51]Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, Tingting He:
Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks. WWW 2016: 1395-1406 - 2015
- [j6]Xianjun Shen, Li Yi, Yang Yi, Jincai Yang, Tingting He, Xiaohua Hu:
Dynamic identifying protein functional modules based on adaptive density modularity in protein-protein interaction networks. BMC Bioinform. 16(S12): S5 (2015) - [j5]Yan Wang, Tingting He, Xingpeng Jiang, Jie Yuan, Xianjun Shen:
Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model. Int. J. Data Min. Bioinform. 13(4): 378-394 (2015) - [j4]Guangyou Zhou, Yin Zhou, Xiyue Guo, Xinhui Tu, Tingting He:
Cross-domain sentiment classification via topical correspondence transfer. Neurocomputing 159: 298-305 (2015) - [j3]Yalan Chen, Xiaohua Hu, Xinhui Tu, Tingting He:
基于位置语言模型的中文信息检索系统的研究 (Positional Language Model-based Chinese IR System). 计算机科学 42(7): 265-269 (2015) - [c50]Guangyou Zhou, Tingting He, Jun Zhao, Po Hu:
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering. ACL (1) 2015: 250-259 - [c49]Xianjun Shen, Yi Li, Xingpeng Jiang, Yanli Zhao, Tingting He, Jincai Yang:
Detecting temporal protein complexes based on Neighbor Closeness and time course protein interaction networks. BIBM 2015: 109-112 - [c48]Xingpeng Jiang, Xiaohua Hu, Tingting He:
Time series analysis of microbiome data regularized by local linear manifold. BIBM 2015: 119-122 - [c47]Yan Wang, Xiaohua Hu, Xingpeng Jiang, Tingting He, Jie Yuan:
Predicting microbial interactions by using network-constrained regularization incorporating covariate coefficients and connection signs. BIBM 2015: 635-638 - [c46]Jie Yuan, Xingpeng Jiang, Tingting He, Yan Wang, Xiyue Guo:
Predicting disease genes based on normalized protein modules and phenotype ontology. BIBM 2015: 1177-1183 - [c45]Wanying Ding, Yue Shang, Lifan Guo, Xiaohua Hu, Rui Yan, Tingting He:
Video Popularity Prediction by Sentiment Propagation via Implicit Network. CIKM 2015: 1621-1630 - [c44]Guangyou Zhou, Tingting He, Wensheng Wu, Xiaohua Tony Hu:
Linking Heterogeneous Input Features with Pivots for Domain Adaptation. IJCAI 2015: 1419-1425 - [c43]Guangyou Zhou, Tingting He, Jun Zhao, Wensheng Wu:
A Subspace Learning Framework for Cross-Lingual Sentiment Classification with Partial Parallel Data. IJCAI 2015: 1426-1433 - 2014
- [j2]Xianjun Shen, Yanli Zhao, Yanan Li, Tingting He, Jincai Yang, Xiaohua Hu:
An efficient protein complex mining algorithm based on Multistage Kernel Extension. BMC Bioinform. 15(S-12): S7 (2014) - [j1]Guangyou Zhou, Jun Zhao, Tingting He, Wensheng Wu:
An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities. Knowl. Based Syst. 66: 136-145 (2014) - [c42]Tingting He, Peng Li, Xiaohua Hu, Xianjun Shen, Yan Wang, Junmin Zhao:
A novel proteins complex identification based on connected affinity and multi-level seed extension. BIBM 2014: 8-13 - [c41]Yan Wang, Xingpeng Jiang, Xiaohua Hu, Tingting He, Xianjun Shen, Jie Yuan:
Microbiome dynamics analysis using a novel multivariate vector autoregression model with weighted fusion regularization. BIBM 2014: 11-16 - [c40]Minghong Fang, Xiaohua Hu, Tingting He, Yan Wang, Junmin Zhao, Xianjun Shen, Jie Yuan:
Prioritizing disease-causing genes based on network diffusion and rank concordance. BIBM 2014: 242-247 - [c39]Junmin Zhao, Tingting He, Xiaohua Hu, Yan Wang, Xianjun Shen, Minghong Fang, Jie Yuan:
A novel disease gene prediction method based on PPI network. BIBM 2014: 311-314 - [c38]Yongli Tang, Tingting He, Bo Li, Xiaohua Hu:
Identifying top Chinese network buzzwords from social media big data set based on time-distribution features. IEEE BigData 2014: 924-931 - [c37]Xinhui Tu, Jing Luo, Bo Li, Tingting He:
Log-Bilinear Document Language Model for Ad-hoc Information Retrieval. CIKM 2014: 1895-1898 - [c36]Guangyou Zhou, Tingting He, Jun Zhao:
Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification. NLPCC 2014: 138-149 - [c35]Xinhui Tu, Jing Luo, Bo Li, Tingting He, Jinguang Gu:
Positional Translation Language Model for Ad-Hoc Information Retrieval. PAKDD (2) 2014: 134-145 - 2013
- [c34]Peng Li, Xiaohua Hu, Tingting He, Junmin Zhao, Ming Zhang, Xianjun Shen:
Mining protein complexes based on connected affinity clique extension. BIBM 2013: 53-56 - [c33]Xianjun Shen, Yanli Zhao, Yanan Li, Jincai Yang, Tingting He, Xiaohua Hu:
An integrated approach to identify protein complex based on best neighbor and modularity increment. BIBM 2013: 57-60 - [c32]Xianjun Shen, Xiaohui Chen, Rui Xu, Tingting He, Jincai Yang, Xiaohua Hu:
Protein functional module detection based on closely associated degree. BIBM 2013: 61-64 - [c31]Junmin Zhao, Xiaohua Hu, Tingting He, Peng Li, Ming Zhang, Xianjun Shen:
A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo). BIBM 2013: 386-391 - [c30]Xianjun Shen, Rui Xu, Xiaohui Chen, Jincai Yang, Tingting He:
Identification of essential proteins based on network capital assessment and invalidating protein node. BIBM 2013: 615 - [c29]Xinhui Tu, Jing Luo, Bo Li, Tingting He, Maofu Liu:
Exploiting proximity feature in statistical translation models for information retrieval. CIKM 2013: 1237-1240 - [c28]Ming Zhang, Tingting He, Fang Li, Li Peng:
Incorporating Hierarchical Dirichlet Process into Tag Topic Model. CLSW 2013: 368-377 - 2012
- [c27]Xingpeng Jiang, Xiaohua Hu, Huiyu Shen, Tingting He:
Manifold learning reveals nonlinear structure in metagenomic profiles. BIBM 2012: 1-6 - [c26]Rong Hu, Tingting He, Fang Li, Po Hu:
Tag recommendation based on tag-topic model. CCIS 2012: 1501-1505 - [c25]Xin Chen, Xiaohua Hu, Zhongna Zhou, Yuan An, Tingting He, E. K. Park:
Modeling semantic relations between visual attributes and object categories via dirichlet forest prior. CIKM 2012: 1263-1272 - [c24]Fang Li, Tingting He, Xinhui Tu, Xiaohua Hu:
Incorporating word correlation into tag-topic model for semantic knowledge acquisition. CIKM 2012: 1622-1626 - [c23]Jianwen Wang, Xiaohua Hu, Xinhui Tu, Tingting He:
Author-conference topic-connection model for academic network search. CIKM 2012: 2179-2183 - 2011
- [c22]Xin Chen, Tingting He, Xiaohua Hu, Yuan An, Xindong Wu:
Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models. BIBM 2011: 3-9 - [c21]Xin Chen, Xiaohua Hu, Yuan An, Zunyan Xiong, Tingting He, E. K. Park:
Perspective hierarchical dirichlet process for user-tagged image modeling. CIKM 2011: 1341-1346 - [c20]Fang Li, Huiyu Shen, Tingting He:
Tag-topic model for semantic knowledge acquisition from blogs. NLPKE 2011: 221-226 - 2010
- [c19]Tengfei Jiang, Tingting He, Fang Li:
Using topic-concept based Clustering for Genomic Information Retrieval in TREC. BIBM Workshops 2010: 189-192 - [c18]Xin Chen, Xiaohua Hu, Zhongna Zhou, Caimei Lu, Gail Rosen, Tingting He, E. K. Park:
A probabilistic topic-connection model for automatic image annotation. CIKM 2010: 899-908 - [c17]Xinhui Tu, Tingting He, Long Chen, Jing Luo, Maoyuan Zhang:
Wikipedia-Based Semantic Smoothing for the Language Modeling Approach to Information Retrieval. ECIR 2010: 370-381 - [c16]Tingting He, Fang Li, Liang Ma:
Document Relevance Identifying and its Effect in Query-Focused Text Summarization. GrC 2010: 206-211 - [c15]Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Tingting He, Zhoujun Li:
The topic-perspective model for social tagging systems. KDD 2010: 683-692 - [c14]Palakorn Achananuparp, Xiaohua Hu, Tingting He, Christopher C. Yang, Yuan An, Lifan Guo:
Answer Diversification for Complex Question Answering on the Web. PAKDD (1) 2010: 375-382 - [c13]Palakorn Achananuparp, Xiaohua Hu, Lifan Guo, Tingting He, Yuan An, Zhoujun Li:
Improving Diversity of Focused Summaries through the Negative Endorsements of Redundant Facts. Web Intelligence 2010: 342-349
2000 – 2009
- 2009
- [c12]Daniel Duanqing Wu, Xiaohua Hu, Tingting He:
Exploratory Analysis of Protein Translation Regulatory Networks Using Hierarchical Random Graphs. BIBM 2009: 118-123 - [c11]Jinguang Chen, Tingting He, Zhuoming Gui, Fang Li:
Probabilistic unsupervised Chinese sentence compression. GrC 2009: 61-66 - [c10]Xinhui Tu, Tingting He, Jing Luo:
Term relevance estimation for Chinese query expansion. NLPKE 2009: 1-7 - [i2]Tingting He, Jinguang Chen, Zhuoming Gui, Fang Li:
HUNUS at TAC 2009: with Better Performance in Update Summarization Task. TAC 2009 - 2008
- [c9]Tingting He, Fang Li, Wei Shao, Jinguang Chen, Liang Ma:
A New Feature-Fusion Sentence Selecting Strategy for Query-Focused Multi-document Summarization. ALPIT 2008: 81-86 - [c8]Xiaohua Zhou, Xiaohua Hu, Xiaodan Zhang, Daniel Duanqing Wu, Tingting He, Aijing Luo:
A Mixture Language Model for Class-Attribute Mining from Biomedical Literature Digital Library. BIBM 2008: 17-22 - [c7]Liang Ma, Tingting He, Fang Li, Zhuoming Gui, Jinguang Chen:
Query-Focused Multi-document Summarization Using Keyword Extraction. CSSE (1) 2008: 20-23 - [c6]Fang Li, Tingting He, Liang Ma, Wei Shao, Jinguang Chen:
Application of Transductive Inference SVM Based Relevant Documents Acquiring in Query-Biased Summarization. CSSE (1) 2008: 727-730 - [c5]Tingting He, Wei Shao, Fang Li, Zongkai Yang, Liang Ma:
The Automated Estimation of Content-Terms for Query-Focused Multi-document Summarization. FSKD (5) 2008: 580-584 - [c4]Tingting He, Jinguang Chen, Liang Ma, Zhuoming Gui, Fang Li, Wei Shao, Qian Wang:
ROUGE-C: A Fully Automated Evaluation Method for Multi-document Summarization. GrC 2008: 269-274 - [c3]Caimei Lu, Xiaodan Zhang, Jung-ran Park, Xiaohua Hu, Tingting He:
Web Clustering based on the Information of Sibling Pages. GrC 2008: 480-485 - [c2]Jinguang Chen, Tingting He, Zhuoming Gui, Liang Ma, Fang Li, Xinhui Tu:
RCSUM: To build a summarization system directly generating summaries with evaluation metrics. NLPKE 2008: 1-6 - [c1]Xinhui Tu, Tingting He, Jing Luo, Jingguang Chen, Long Chen, Zongkai Yang:
Chinese query expansion based on topic-relevant terms. NLPKE 2008: 1-5 - [i1]Tingting He, Jinguang Chen, Zhuoming Gui, Fang Li:
CCNU at TAC 2008: Proceeding on Using Semantic Method for Automated Summarization Yield. TAC 2008
Coauthor Index
Xiaohua Hu 0001
aka: Xiaohua Tony Hu
aka: Xiaohua Tony Hu
[j37] [j33] [j30] [j29] [j21] [j18] [c75] [j12] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c63] [c62] [c61] [c60] [j11] [j10] [j9] [j7] [c57] [c56] [c55] [c51] [j6] [j3] [c48] [c47] [c45] [c44] [j2] [c42] [c41] [c40] [c39] [c38] [c34] [c33] [c32] [c31] [c27] [c25] [c24] [c23] [c22] [c21] [c18] [c15] [c14] [c13] [c12] [c8] [c3]
[j37] [j35] [j34] [j33] [j32] [j30] [c106] [c105] [c104] [c103] [c102] [c101] [j29] [j28] [j26] [j25] [c99] [c98] [c97] [c94] [c93] [j23] [j21] [c92] [c91] [c90] [c89] [c88] [j20] [j18] [c87] [c86] [c85] [c84] [c82] [j16] [j15] [j13] [c80] [c79] [c78] [c77] [c75] [j12] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c63] [c62] [c61] [c60] [j11] [c57] [c56] [c55] [j5] [c49] [c48] [c47] [c46] [c41] [c27]
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