Sheng Gao

59 papers A* 3A 3B 1C 1Misc 1Journal 29Unranked 21
YearRankTypeTitle / Venue / Authors
2023 J jnl
SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning.
Appl. Intell.
Bosen Zhang, Yajing Xu, Jinglei Li, Shusen Wang, Boya Ren, Sheng Gao
2022 Misc conf
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation.
ICTIR
Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen
2022 J jnl
CorefDPR: A Joint Model for Coreference Resolution and Dropped Pronoun Recovery in Chinese Conversations.
IEEE ACM Trans. Audio Speech Lang. Process.
Jingxuan Yang, Si Li, Sheng Gao, Jun Guo
2022 J jnl
Learning towards conversational AI: A survey.
AI Open
Tingchen Fu, Sheng Gao, Xueliang Zhao, Ji-Rong Wen, Rui Yan
2021 — conf
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech.
ACL/IJCNLP (1)
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen
2021 J jnl
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech.
CoRR
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen
2021 A conf
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation.
WSDM
Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen
2021 — conf
Memetic Federated Learning for Biomedical Natural Language Processing.
NLPCC (2)
Xinya Zhou, Conghui Tan, Di Jiang, Bosen Zhang, Si Li, Yajing Xu, Qian Xu, Sheng Gao
2021 J jnl
Utilizing graph neural networks to improving dialogue-based relation extraction.
Neurocomputing
Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo
2020 J jnl
Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures.
Knowl. Based Syst.
Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo
2020 J jnl
GATE: Graph-Attention Augmented Temporal Neural Network for Medication Recommendation.
IEEE Access
Chenhao Su, Sheng Gao, Si Li
2020 J jnl
Outline Extraction with Question-Specific Memory Cells.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Jingxuan Yang, Haotian Cui, Si Li, Sheng Gao, Jun Guo, Zhengdong Lu
2020 — conf
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields.
EMNLP (Findings)
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue
2020 J jnl
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields.
CoRR
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue
2019 — conf
A Prism Module for Semantic Disentanglement in Name Entity Recognition.
ACL (1)
Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li
2019 — conf
A Topic Matching based CNN for Sentence Classification.
ICIAI
Yadi Lao, Sheng Gao
2019 — conf
Dropped Pronoun Recovery in Chinese Conversations with Knowledge-Enriched Neural Network.
CCL
Jianzhuo Tong, Jingxuan Yang, Si Li, Sheng Gao
2019 J jnl
Enhancing Machine Reading Comprehension With Position Information.
IEEE Access
Yajing Xu, Weijie Liu, Guang Chen, Boya Ren, Siman Zhang, Sheng Gao, Jun Guo
2019 J jnl
MDKB-Bot: A Practical Framework for Multi-Domain Task-Oriented Dialogue System.
Data Intell.
Yadi Lao, Weijie Liu, Sheng Gao, Si Li
2019 A* conf
Name Entity Recognition with Policy-Value Networks.
SIGIR
Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen
2019 J jnl
Pre-training of Context-aware Item Representation for Next Basket Recommendation.
CoRR
Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen
2019 J jnl
Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents.
CoRR
Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue
2019 — conf
Recovering dropped pronouns in Chinese conversations via modeling their referents.
NAACL-HLT (1)
Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue
2018 J jnl
A novel non-Gaussian embedding based model for recommender systems.
Neurocomputing
Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari
2018 B conf
From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information.
CoNLL
Hengru Xu, Shen Li, Renfen Hu, Si Li, Sheng Gao
2018 J jnl
From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information.
CoRR
Hengru Xu, Shen Li, Renfen Hu, Si Li, Sheng Gao
2018 — conf
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network.
NAACL-HLT (2)
Chenliang Li, Weiran Xu, Si Li, Sheng Gao
2018 J jnl
Sequence Tagging with Policy-Value Networks and Tree Search.
CoRR
Yadi Lao, Jun Xu, Yanyan Lan, Jiafeng Guo, Sheng Gao, Xueqi Cheng
2017 J jnl
A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data.
IEEE Trans. Ind. Informatics
Sheng Gao, Huacan Pang, Patrick Gallinari, Jun Guo, Nei Kato
2017 J jnl
A Novel Embedding Model for Relation Prediction in Recommendation Systems.
IEICE Trans. Inf. Syst.
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2017 J jnl
A temporal model in Electronic Health Record search.
Knowl. Based Syst.
Jiayue Zhang, Weiran Xu, Jun Guo, Sheng Gao
2017 — conf
Neural Domain Adaptation with Contextualized Character Embedding for Chinese Word Segmentation.
NLPCC
Zuyi Bao, Si Li, Sheng Gao, Weiran Xu
2017 — conf
Neural Regularized Domain Adaptation for Chinese Word Segmentation.
SIGHAN@IJCNLP
Zuyi Bao, Si Li, Weiran Xu, Sheng Gao
2017 — conf
Neural domain adaptation for Chinese word segmentation.
IALP
Zuyi Bao, Si Li, Weiran Xu, Sheng Gao
2017 J jnl
Zero-Shot Embedding for Unseen Entities in Knowledge Graph.
IEICE Trans. Inf. Syst.
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2016 J jnl
A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base.
Computación y Sistemas
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2016 J jnl
Aspect-based latent factor model by integrating ratings and reviews for recommender system.
Knowl. Based Syst.
Lin Qiu, Sheng Gao, Wenlong Cheng, Jun Guo
2016 — conf
Review aspect extraction based on character-enhanced embedding models.
IC-NIDC
Jingxuan Yang, Qinjie Lyu, Sheng Gao, Lin Qiu, Jun Guo
2015 J jnl
Construction of semantic bootstrapping models for relation extraction.
Knowl. Based Syst.
Chunyun Zhang, Weiran Xu, Zhanyu Ma, Sheng Gao, Qun Li, Jun Guo
2015 — conf
Cross-Domain Recommendation via Tag Matrix Transfer.
ICDM Workshops
Zhou Fang, Sheng Gao, Bo Li, Juncen Li, Jianxin Liao
2015 A* conf
Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model.
AAAI
Siting Ren, Sheng Gao, Jianxin Liao, Jun Guo
2015 J jnl
Knowledge base completion by learning pairwise-interaction differentiated embeddings.
Data Min. Knowl. Discov.
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2015 — conf
Mining Individual Mobile User Behavior on Location and Interests.
ICDM Workshops
Junjie Yan, Yuanyuan Qiao, Jie Yang, Sheng Gao
2015 — conf
Music Mood Classification via Deep Belief Network.
ICDM Workshops
Juncen Li, Sheng Gao, Ning Han, Zhou Fang, Jianxin Liao
2015 — conf
Prediction of User Mobility Pattern on a Network Traffic Analysis Platform.
MobiArch
Haiyang He, Yuanyuan Qiao, Sheng Gao, Jie Yang, Jun Guo
2015 A* conf
VecLP: A Realtime Video Recommendation System for Live TV Programs.
AAAI
Sheng Gao, Dai Zhang, Honggang Zhang, Chao Huang, Yongsheng Zhang, Jianxin Liao, Jun Guo
2014 — conf
A bottom-up kernel of pattern learning for relation extraction.
ISCSLP
Chunyun Zhang, Weiran Xu, Sheng Gao, Jun Guo
2014 J jnl
Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference.
J. Signal Process. Syst.
Zhanyu Ma, Arne Leijon, Zheng-Hua Tan, Sheng Gao
2013 J jnl
A Cross-Domain Recommendation Model for Cyber-Physical Systems.
IEEE Trans. Emerg. Top. Comput.
Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Zhanyu Ma, Jun Guo
2013 — conf
Cross-Domain Recommendation via Cluster-Level Latent Factor Model.
ECML/PKDD (2)
Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo
2013 — conf
Friendship and affiliation co-recommendation via Collective Latent Factor BlockModel.
WPMC
Sheng Gao, Shantao Li, Hao Luo, Da Chen, Yajing Xu, Jun Guo
2013 A conf
Latent Factor BlockModel for Modelling Relational Data.
ECIR
Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo
2012 — conf
Link prediction via latent factor BlockModel.
WWW (Companion Volume)
Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012 J jnl
Modeling Relational Data via Latent Factor Blockmodel
CoRR
Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012 J jnl
Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks
CoRR
Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012 — conf
Probabilistic Latent Tensor Factorization model for link pattern prediction.
IC-NIDC
Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012 J jnl
Prédiction de liens temporels en intégrant les informations de contenu et de structure.
Ingénierie des Systèmes d Inf.
Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2011 C conf
Link Pattern Prediction with tensor decomposition in multi-relational networks.
CIDM
Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2011 A conf
Temporal link prediction by integrating content and structure information.
CIKM
Sheng Gao, Ludovic Denoyer, Patrick Gallinari