Sheng Gao

Orcid: 0000-0003-1591-0595

Affiliations:
  • Guiyang National High-Tech Zone Management Committee, Guiyang, China
  • Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligence System Laborator, Beijing, China
  • Universite Pierre et Marie Curie, Paris 6, Paris, France (PhD 2011)


According to our database1, Sheng Gao authored at least 51 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning.
Appl. Intell., March, 2023

2022
Learning towards conversational AI: A survey.
AI Open, January, 2022

CorefDPR: A Joint Model for Coreference Resolution and Dropped Pronoun Recovery in Chinese Conversations.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

2021
Utilizing graph neural networks to improving dialogue-based relation extraction.
Neurocomputing, 2021

Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation.
Proceedings of the WSDM '21, 2021

Memetic Federated Learning for Biomedical Natural Language Processing.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Outline Extraction with Question-Specific Memory Cells.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures.
Knowl. Based Syst., 2020

GATE: Graph-Attention Augmented Temporal Neural Network for Medication Recommendation.
IEEE Access, 2020

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
MDKB-Bot: A Practical Framework for Multi-Domain Task-Oriented Dialogue System.
Data Intell., 2019

Pre-training of Context-aware Item Representation for Next Basket Recommendation.
CoRR, 2019

Enhancing Machine Reading Comprehension With Position Information.
IEEE Access, 2019

Name Entity Recognition with Policy-Value Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Recovering dropped pronouns in Chinese conversations via modeling their referents.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Topic Matching based CNN for Sentence Classification.
Proceedings of the ICIAI 2019: The 3rd International Conference on Innovation in Artificial Intelligence, 2019

Dropped Pronoun Recovery in Chinese Conversations with Knowledge-Enriched Neural Network.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

A Prism Module for Semantic Disentanglement in Name Entity Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A novel non-Gaussian embedding based model for recommender systems.
Neurocomputing, 2018

Sequence Tagging with Policy-Value Networks and Tree Search.
CoRR, 2018

Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017
A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data.
IEEE Trans. Ind. Informatics, 2017

A temporal model in Electronic Health Record search.
Knowl. Based Syst., 2017

Zero-Shot Embedding for Unseen Entities in Knowledge Graph.
IEICE Trans. Inf. Syst., 2017

A Novel Embedding Model for Relation Prediction in Recommendation Systems.
IEICE Trans. Inf. Syst., 2017

Neural Domain Adaptation with Contextualized Character Embedding for Chinese Word Segmentation.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Neural domain adaptation for Chinese word segmentation.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Neural Regularized Domain Adaptation for Chinese Word Segmentation.
Proceedings of the 9th SIGHAN Workshop on Chinese Language Processing, 2017

2016
Aspect-based latent factor model by integrating ratings and reviews for recommender system.
Knowl. Based Syst., 2016

A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base.
Computación y Sistemas, 2016

Review aspect extraction based on character-enhanced embedding models.
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

2015
Construction of semantic bootstrapping models for relation extraction.
Knowl. Based Syst., 2015

Knowledge base completion by learning pairwise-interaction differentiated embeddings.
Data Min. Knowl. Discov., 2015

Prediction of User Mobility Pattern on a Network Traffic Analysis Platform.
Proceedings of the 10th International Workshop on Mobility in the Evolving Internet Architecture, 2015

Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

VecLP: A Realtime Video Recommendation System for Live TV Programs.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A bottom-up kernel of pattern learning for relation extraction.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014

2013
A Cross-Domain Recommendation Model for Cyber-Physical Systems.
IEEE Trans. Emerg. Top. Comput., 2013

Friendship and affiliation co-recommendation via Collective Latent Factor BlockModel.
Proceedings of the 16th International Symposium on Wireless Personal Multimedia Communications, 2013

Cross-Domain Recommendation via Cluster-Level Latent Factor Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Latent Factor BlockModel for Modelling Relational Data.
Proceedings of the Advances in Information Retrieval, 2013

2012
Prédiction de liens temporels en intégrant les informations de contenu et de structure.
Ingénierie des Systèmes d Inf., 2012

Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks
CoRR, 2012

Modeling Relational Data via Latent Factor Blockmodel
CoRR, 2012

Link prediction via latent factor BlockModel.
Proceedings of the 21st World Wide Web Conference, 2012

Probabilistic Latent Tensor Factorization model for link pattern prediction.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

2011
Temporal link prediction by integrating content and structure information.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Link Pattern Prediction with tensor decomposition in multi-relational networks.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011


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