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Quan Z. Sheng

Communication Efficiency in Federated Learning: Achievements and Challenges


Jul 23, 2021
Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Gautam Srivastava, Liang Zhao

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A Comprehensive Survey on Graph Anomaly Detection with Deep Learning


Jun 14, 2021
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong

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* 26 pages 
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Conversational Question Answering: A Survey


Jun 03, 2021
Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang

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A Comprehensive Survey on Community Detection with Deep Learning


May 26, 2021
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu

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Graph Learning based Recommender Systems: A Review


May 13, 2021
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

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* Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718 
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Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference


May 05, 2021
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng

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A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep


Apr 27, 2021
Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh

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BERT-CoQAC: BERT-based Conversational Question Answering in Context


Apr 23, 2021
Munazza Zaib, Dai Hoang Tran, Subhash Sagar, Adnan Mahmood, Wei E. Zhang, Quan Z. Sheng

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A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP


Apr 22, 2021
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang

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High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings


Mar 27, 2021
Kai Wang, Yu Liu, Quan Z. Sheng

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* 7 pages, 3 figures 
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Multi-document Summarization via Deep Learning Techniques: A Survey


Nov 10, 2020
Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng

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Multi-teacher Knowledge Distillation for Knowledge Graph Completion


Oct 19, 2020
Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng

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* 11 pages, 4 figures 
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Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems


Apr 28, 2020
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen H. Tran, Lina Yao, Nguyen Lu Dang Khoa

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* 7 pages, 3 figures, 1 table 
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Sequential Recommender Systems: Challenges, Progress and Prospects


Dec 28, 2019
Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet Orgun

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* IJCAI-2019 Survey Track Paper 
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Generating Textual Adversarial Examples for Deep Learning Models: A Survey


Jan 27, 2019
Wei Emma Zhang, Quan Z. Sheng, Ahoud Abdulrahmn F Alhazmi

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* 18 
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Deep Autoencoder for Recommender Systems: Parameter Influence Analysis


Dec 25, 2018
Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen H. Tran, Quan Z. Sheng

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* 11 pages, ACIS 2018, 
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Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis


Sep 26, 2017
Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu

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* 10 pages 
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Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals


Sep 26, 2017
Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang

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* 10 pages 
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Uncovering Locally Discriminative Structure for Feature Analysis


Jul 09, 2016
Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao

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* Accepted by ECML/PKDD2016 
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Unsupervised Feature Analysis with Class Margin Optimization


Jun 03, 2015
Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng

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* Accepted by European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD 2015 
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