Link Pattern Prediction with tensor decomposition in multi-relational networks. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (CIDM, 2011)

Temporal link prediction by integrating content and structure information. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (CIKM, 2011)

Probabilistic Latent Tensor Factorization model for link pattern prediction. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (IC-NIDC, 2012)

Link prediction via latent factor BlockModel. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (WWW (Companion Volume), 2012)

Modeling Relational Data via Latent Factor Blockmodel - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (CoRR, 2012)

Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (CoRR, 2012)

Prédiction de liens temporels en intégrant les informations de contenu et de structure. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (Ingénierie des Systèmes d Inf., 2012)

Latent Factor BlockModel for Modelling Relational Data. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari; Jun Guo 002 (ECIR, 2013)

Cross-Domain Recommendation via Cluster-Level Latent Factor Model. - Sheng Gao 001; Hao Luo; Da Chen; Shantao Li; Patrick Gallinari; Jun Guo 002 (ECML/PKDD (2), 2013)

Friendship and affiliation co-recommendation via Collective Latent Factor BlockModel. - Sheng Gao 001; Shantao Li; Hao Luo; Da Chen; Yajing Xu; Jun Guo 002 (WPMC, 2013)

A Cross-Domain Recommendation Model for Cyber-Physical Systems. - Sheng Gao 001; Hao Luo; Da Chen; Shantao Li; Patrick Gallinari; Zhanyu Ma; Jun Guo 002 (IEEE Trans. Emerg. Top. Comput., 2013)

A bottom-up kernel of pattern learning for relation extraction. - Chunyun Zhang; Weiran Xu; Sheng Gao 001; Jun Guo 002 (ISCSLP, 2014)

Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference. - Zhanyu Ma; Arne Leijon; Zheng-Hua Tan; Sheng Gao 001 (J. Signal Process. Syst., 2014)

VecLP: A Realtime Video Recommendation System for Live TV Programs. - Sheng Gao 001; Dai Zhang; Honggang Zhang 002; Chao Huang; Yongsheng Zhang; Jianxin Liao; Jun Guo 002 (AAAI, 2015)

Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model. - Siting Ren; Sheng Gao 001; Jianxin Liao; Jun Guo 002 (AAAI, 2015)

Mining Individual Mobile User Behavior on Location and Interests. - Junjie Yan; Yuanyuan Qiao 002; Jie Yang 023; Sheng Gao 001 (ICDM Workshops, 2015)

Prediction of User Mobility Pattern on a Network Traffic Analysis Platform. - Haiyang He; Yuanyuan Qiao 002; Sheng Gao 001; Jie Yang 023; Jun Guo 002 (MobiArch, 2015)

Knowledge base completion by learning pairwise-interaction differentiated embeddings. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (Data Min. Knowl. Discov., 2015)

Construction of semantic bootstrapping models for relation extraction. - Chunyun Zhang; Weiran Xu; Zhanyu Ma; Sheng Gao 001; Qun Li 002; Jun Guo 002 (Knowl. Based Syst., 2015)

Review aspect extraction based on character-enhanced embedding models. - Jingxuan Yang; Qinjie Lyu; Sheng Gao 001; Lin Qiu; Jun Guo 002 (IC-NIDC, 2016)

A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (Computación y Sistemas, 2016)

Aspect-based latent factor model by integrating ratings and reviews for recommender system. - Lin Qiu; Sheng Gao 001; Wenlong Cheng; Jun Guo 002 (Knowl. Based Syst., 2016)

Neural Regularized Domain Adaptation for Chinese Word Segmentation. - Zuyi Bao; Si Li 001; Weiran Xu; Sheng Gao 001 (SIGHAN@IJCNLP, 2017)

Neural domain adaptation for Chinese word segmentation. - Zuyi Bao; Si Li 001; Weiran Xu; Sheng Gao 001 (IALP, 2017)

Neural Domain Adaptation with Contextualized Character Embedding for Chinese Word Segmentation. - Zuyi Bao; Si Li 001; Sheng Gao 001; Weiran Xu (NLPCC, 2017)

A Novel Embedding Model for Relation Prediction in Recommendation Systems. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (IEICE Trans. Inf. Syst., 2017)

Zero-Shot Embedding for Unseen Entities in Knowledge Graph. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (IEICE Trans. Inf. Syst., 2017)

A temporal model in Electronic Health Record search. - Jiayue Zhang; Weiran Xu; Jun Guo 002; Sheng Gao 001 (Knowl. Based Syst., 2017)

A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data. - Sheng Gao 001; Huacan Pang; Patrick Gallinari; Jun Guo 002; Nei Kato (IEEE Trans. Ind. Informatics, 2017)

From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information. - Hengru Xu; Shen Li; Renfen Hu; Si Li 001; Sheng Gao 001 (CoNLL, 2018)

Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. - Chenliang Li; Weiran Xu; Si Li 001; Sheng Gao 001 (NAACL-HLT (2), 2018)

Sequence Tagging with Policy-Value Networks and Tree Search. - Yadi Lao; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Sheng Gao 001; Xueqi Cheng (CoRR, 2018)

A novel non-Gaussian embedding based model for recommender systems. - Lin Qiu; Sheng Gao 001; Qinjie Lyu; Jun Guo 002; Patrick Gallinari (Neurocomputing, 2018)

A Prism Module for Semantic Disentanglement in Name Entity Recognition. - Kun Liu; Shen Li; Daqi Zheng; Zhengdong Lu; Sheng Gao 001; Si Li 001 (ACL (1), 2019)

Dropped Pronoun Recovery in Chinese Conversations with Knowledge-Enriched Neural Network. - Jianzhuo Tong; Jingxuan Yang; Si Li 001; Sheng Gao 001 (CCL, 2019)

A Topic Matching based CNN for Sentence Classification. - Yadi Lao; Sheng Gao 001 (ICIAI, 2019)

Recovering dropped pronouns in Chinese conversations via modeling their referents. - Jingxuan Yang; Jianzhuo Tong; Si Li 001; Sheng Gao 001; Jun Guo 002; Nianwen Xue (NAACL-HLT (1), 2019)

Name Entity Recognition with Policy-Value Networks. - Yadi Lao; Jun Xu 001; Sheng Gao 001; Jun Guo 002; Ji-Rong Wen (SIGIR, 2019)

Enhancing Machine Reading Comprehension With Position Information. - Yajing Xu; Weijie Liu 003; Guang Chen 003; Boya Ren; Siman Zhang; Sheng Gao 001; Jun Guo 002 (IEEE Access, 2019)

Pre-training of Context-aware Item Representation for Next Basket Recommendation. - Jingxuan Yang; Jun Xu 001; Jianzhuo Tong; Sheng Gao 001; Jun Guo 002; Jirong Wen (CoRR, 2019)

MDKB-Bot: A Practical Framework for Multi-Domain Task-Oriented Dialogue System. - Yadi Lao; Weijie Liu 003; Sheng Gao 001; Si Li 001 (Data Intell., 2019)

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. - Jingxuan Yang; Kerui Xu; Jun Xu 001; Si Li 001; Sheng Gao 001; Jun Guo 002; Ji-Rong Wen; Nianwen Xue (EMNLP (Findings), 2020)

GATE: Graph-Attention Augmented Temporal Neural Network for Medication Recommendation. - Chenhao Su; Sheng Gao 001; Si Li 001 (IEEE Access, 2020)

Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures. - Lulu Zhao; Weiran Xu; Sheng Gao 001; Jun Guo 002 (Knowl. Based Syst., 2020)

Outline Extraction with Question-Specific Memory Cells. - Jingxuan Yang; Haotian Cui; Si Li 001; Sheng Gao 001; Jun Guo 002; Zhengdong Lu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. - Jingxuan Yang; Kerui Xu; Jun Xu 001; Si Li 001; Sheng Gao 001; Jun Guo 002; Nianwen Xue; Ji-Rong Wen (ACL/IJCNLP (1), 2021)

Memetic Federated Learning for Biomedical Natural Language Processing. - Xinya Zhou; Conghui Tan; Di Jiang; Bosen Zhang; Si Li 001; Yajing Xu; Qian Xu 005; Sheng Gao 001 (NLPCC (2), 2021)

Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. - Kerui Xu; Jingxuan Yang; Jun Xu 001; Sheng Gao 001; Jun Guo 002; Ji-Rong Wen (WSDM, 2021)

Utilizing graph neural networks to improving dialogue-based relation extraction. - Lulu Zhao; Weiran Xu; Sheng Gao 001; Jun Guo 002 (Neurocomputing, 2021)

A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. - Kerui Xu; Jun Xu 001; Sheng Gao 001; Si Li 001; Jun Guo 002; Ji-Rong Wen (ICTIR, 2022)

CorefDPR: A Joint Model for Coreference Resolution and Dropped Pronoun Recovery in Chinese Conversations. - Jingxuan Yang; Si Li 001; Sheng Gao 001; Jun Guo 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Learning towards conversational AI: A survey. - Tingchen Fu; Sheng Gao 001; Xueliang Zhao; Ji-Rong Wen; Rui Yan 001 (AI Open, 2022)

SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning. - Bosen Zhang; Yajing Xu; Jinglei Li; Shusen Wang; Boya Ren; Sheng Gao 001 (Appl. Intell., 2023)