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ORCIDSheng Gao 0001
Person information
- affiliation: Guiyang National High-Tech Zone Management Committee, Guiyang, China
- affiliation: Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligence System Laborator, Beijing, China
- affiliation (PhD 2011): Universite Pierre et Marie Curie, Paris 6, Paris, France
Other persons with the same name
- Sheng Gao — disambiguation page
- Sheng Gao 0002
![[0000-0001-8118-411X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8118-411X")
— Central University of Finance and Economics, School of Information, Beijing, China (and 1 more)
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2020 – today
- 2023
[j21]Bosen Zhang, Yajing Xu, Jinglei Li, Shusen Wang, Boya Ren, Sheng Gao:
SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning. Appl. Intell. 53(6): 6569-6584 (2023)- 2022
- [j20]Tingchen Fu, Sheng Gao, Xueliang Zhao, Ji-Rong Wen, Rui Yan:
Learning towards conversational AI: A survey. AI Open 3: 14-28 (2022) - [j19]Jingxuan Yang, Si Li, Sheng Gao, Jun Guo:
CorefDPR: A Joint Model for Coreference Resolution and Dropped Pronoun Recovery in Chinese Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 30: 571-581 (2022) - [c28]Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen:
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. ICTIR 2022: 232-242 - 2021
- [j18]Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo:
Utilizing graph neural networks to improving dialogue-based relation extraction. Neurocomputing 456: 299-311 (2021) - [c27]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen:
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. ACL/IJCNLP (1) 2021: 1752-1763 - [c26]Xinya Zhou, Conghui Tan, Di Jiang, Bosen Zhang, Si Li, Yajing Xu, Qian Xu, Sheng Gao:
Memetic Federated Learning for Biomedical Natural Language Processing. NLPCC (2) 2021: 43-55 - [c25]Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen:
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. WSDM 2021: 364-372 - [i8]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen:
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. CoRR abs/2106.03345 (2021) - 2020
- [j17]Chenhao Su, Sheng Gao, Si Li:
GATE: Graph-Attention Augmented Temporal Neural Network for Medication Recommendation. IEEE Access 8: 125447-125458 (2020) - [j16]Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo:
Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures. Knowl. Based Syst. 207: 106266 (2020) - [j15]Jingxuan Yang, Haotian Cui, Si Li, Sheng Gao, Jun Guo, Zhengdong Lu:
Outline Extraction with Question-Specific Memory Cells. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(4): 48:1-48:17 (2020) - [c24]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue:
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. EMNLP (Findings) 2020: 137-147 - [i7]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue:
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. CoRR abs/2010.03224 (2020)
2010 – 2019
- 2019
- [j14]Yajing Xu, Weijie Liu, Guang Chen, Boya Ren, Siman Zhang, Sheng Gao, Jun Guo:
Enhancing Machine Reading Comprehension With Position Information. IEEE Access 7: 141602-141611 (2019) - [j13]Yadi Lao, Weijie Liu, Sheng Gao, Si Li:
MDKB-Bot: A Practical Framework for Multi-Domain Task-Oriented Dialogue System. Data Intell. 1(2): 176-186 (2019) - [c23]Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li:
A Prism Module for Semantic Disentanglement in Name Entity Recognition. ACL (1) 2019: 5358-5362 - [c22]Jianzhuo Tong, Jingxuan Yang, Si Li, Sheng Gao:
Dropped Pronoun Recovery in Chinese Conversations with Knowledge-Enriched Neural Network. CCL 2019: 545-557 - [c21]Yadi Lao, Sheng Gao:
A Topic Matching based CNN for Sentence Classification. ICIAI 2019: 45-49 - [c20]Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue:
Recovering dropped pronouns in Chinese conversations via modeling their referents. NAACL-HLT (1) 2019: 892-901 - [c19]Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen:
Name Entity Recognition with Policy-Value Networks. SIGIR 2019: 1245-1248 - [i6]Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen:
Pre-training of Context-aware Item Representation for Next Basket Recommendation. CoRR abs/1904.12604 (2019) - [i5]Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue:
Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents. CoRR abs/1906.02128 (2019) - 2018
- [j12]Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari:
A novel non-Gaussian embedding based model for recommender systems. Neurocomputing 278: 144-152 (2018) - [c18]Hengru Xu, Shen Li, Renfen Hu, Si Li, Sheng Gao:
From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information. CoNLL 2018: 573-582 - [c17]Chenliang Li, Weiran Xu, Si Li, Sheng Gao:
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. NAACL-HLT (2) 2018: 55-60 - [i4]Yadi Lao, Jun Xu, Yanyan Lan, Jiafeng Guo, Sheng Gao, Xueqi Cheng:
Sequence Tagging with Policy-Value Networks and Tree Search. CoRR abs/1804.10911 (2018) - [i3]Hengru Xu, Shen Li, Renfen Hu, Si Li, Sheng Gao:
From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information. CoRR abs/1808.08149 (2018) - 2017
- [j11]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Embedding Model for Relation Prediction in Recommendation Systems. IEICE Trans. Inf. Syst. 100-D(6): 1242-1250 (2017) - [j10]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Zero-Shot Embedding for Unseen Entities in Knowledge Graph. IEICE Trans. Inf. Syst. 100-D(7): 1440-1447 (2017) - [j9]Jiayue Zhang, Weiran Xu, Jun Guo, Sheng Gao:
A temporal model in Electronic Health Record search. Knowl. Based Syst. 126: 56-67 (2017) - [j8]Sheng Gao, Huacan Pang, Patrick Gallinari, Jun Guo, Nei Kato:
A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data. IEEE Trans. Ind. Informatics 13(4): 2097-2105 (2017) - [c16]Zuyi Bao, Si Li, Weiran Xu, Sheng Gao:
Neural Regularized Domain Adaptation for Chinese Word Segmentation. SIGHAN@IJCNLP 2017: 11-20 - [c15]Zuyi Bao, Si Li, Weiran Xu, Sheng Gao:
Neural domain adaptation for Chinese word segmentation. IALP 2017: 131-134 - [c14]Zuyi Bao, Si Li, Sheng Gao, Weiran Xu:
Neural Domain Adaptation with Contextualized Character Embedding for Chinese Word Segmentation. NLPCC 2017: 419-430 - 2016
- [j7]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. Computación y Sistemas 20(3): 459-466 (2016) - [j6]Lin Qiu, Sheng Gao, Wenlong Cheng, Jun Guo:
Aspect-based latent factor model by integrating ratings and reviews for recommender system. Knowl. Based Syst. 110: 233-243 (2016) - [c13]Jingxuan Yang, Qinjie Lyu, Sheng Gao, Lin Qiu, Jun Guo:
Review aspect extraction based on character-enhanced embedding models. IC-NIDC 2016: 219-223 - 2015
- [j5]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Knowledge base completion by learning pairwise-interaction differentiated embeddings. Data Min. Knowl. Discov. 29(5): 1486-1504 (2015) - [j4]Chunyun Zhang, Weiran Xu, Zhanyu Ma, Sheng Gao, Qun Li, Jun Guo:
Construction of semantic bootstrapping models for relation extraction. Knowl. Based Syst. 83: 128-137 (2015) - [c12]Siting Ren, Sheng Gao, Jianxin Liao, Jun Guo:
Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model. AAAI 2015: 4200-4201 - [c11]Sheng Gao, Dai Zhang, Honggang Zhang, Chao Huang, Yongsheng Zhang, Jianxin Liao, Jun Guo:
VecLP: A Realtime Video Recommendation System for Live TV Programs. AAAI 2015: 4274-4275 - [c10]Junjie Yan, Yuanyuan Qiao, Jie Yang, Sheng Gao:
Mining Individual Mobile User Behavior on Location and Interests. ICDM Workshops 2015: 1262-1269 - [c9]Haiyang He, Yuanyuan Qiao, Sheng Gao, Jie Yang, Jun Guo:
Prediction of User Mobility Pattern on a Network Traffic Analysis Platform. MobiArch 2015: 39-44 - 2014
- [j3]Zhanyu Ma, Arne Leijon, Zheng-Hua Tan, Sheng Gao:
Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference. J. Signal Process. Syst. 74(3): 359-374 (2014) - [c8]Chunyun Zhang, Weiran Xu, Sheng Gao, Jun Guo:
A bottom-up kernel of pattern learning for relation extraction. ISCSLP 2014: 609-613 - 2013
- [j2]Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Zhanyu Ma, Jun Guo:
A Cross-Domain Recommendation Model for Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. 1(2): 384-393 (2013) - [c7]Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo:
Latent Factor BlockModel for Modelling Relational Data. ECIR 2013: 447-458 - [c6]Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo:
Cross-Domain Recommendation via Cluster-Level Latent Factor Model. ECML/PKDD (2) 2013: 161-176 - [c5]Sheng Gao, Shantao Li, Hao Luo, Da Chen, Yajing Xu, Jun Guo:
Friendship and affiliation co-recommendation via Collective Latent Factor BlockModel. WPMC 2013: 1-6 - 2012
- [j1]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Prédiction de liens temporels en intégrant les informations de contenu et de structure. Ingénierie des Systèmes d Inf. 17(6): 75-90 (2012) - [c4]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Latent Tensor Factorization model for link pattern prediction. IC-NIDC 2012: 549-553 - [c3]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Link prediction via latent factor BlockModel. WWW (Companion Volume) 2012: 507-508 - [i2]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Modeling Relational Data via Latent Factor Blockmodel. CoRR abs/1204.2581 (2012) - [i1]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks. CoRR abs/1204.2588 (2012) - 2011
- [c2]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Link Pattern Prediction with tensor decomposition in multi-relational networks. CIDM 2011: 333-340 - [c1]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Temporal link prediction by integrating content and structure information. CIKM 2011: 1169-1174
Coauthor Index
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