A New Deep Neural Network Based Learning to Rank Method for Information Retrieval. - Mingsheng Fu; Hong Qu; Fan Li; Yanjun Liu (ICIA, 2018)

Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition. - Rui Xi; Mengshu Hou; Mingsheng Fu; Hong Qu; Daibo Liu (IJCNN, 2018)

Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments. - Liwei Huang; Hong Qu; Mingsheng Fu; Wu Deng (PRICAI (1), 2018)

Deep Dilation on Multimodality Time Series for Human Activity Recognition. - Rui Xi; Ming Li 068; Mengshu Hou; Mingsheng Fu; Hong Qu; Daibo Liu; Charles R. Haruna (IEEE Access, 2018)

Bag of meta-words: A novel method to represent document for the sentiment classification. - Mingsheng Fu; Hong Qu; Li Huang 002; Li Lu 001 (Expert Syst. Appl., 2018)

Attention based collaborative filtering. - Mingsheng Fu; Hong Qu; Dagmawi Moges; Li Lu 001 (Neurocomputing, 2018)

Multi-Head Bidirectional Attention for MRC. - Dagmawi Moges; Hong Qu; Mingsheng Fu (ICAIP, 2019)

A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System. - Mingsheng Fu; Hong Qu; Zhang Yi 001; Li Lu 001; Yongsheng Liu (IEEE Trans. Cybern., 2019)

A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems. - Liwei Huang; Mingsheng Fu; Hong Qu; Siying Wang 002; Shangqian Hu (Expert Syst. Appl., 2021)

A deep reinforcement learning based long-term recommender system. - Liwei Huang; Mingsheng Fu; Fan Li; Hong Qu; Yangjun Liu; Wenyu Chen 001 (Knowl. Based Syst., 2021)

Deep Reinforcement Learning Framework for Category-Based Item Recommendation. - Mingsheng Fu; Anubha Agrawal; Athirai A. Irissappane; Jie Zhang 002; Liwei Huang; Hong Qu (IEEE Trans. Cybern., 2022)

An Attention-Based Interactive Learning-to-Rank Model for Document Retrieval. - Fan Zhang 068; Wenyu Chen 001; Mingsheng Fu; Fan Li; Hong Qu; Zhang Yi 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Adaptive Textual Label Noise Learning based on Pre-trained Models. - Shaohuan Cheng; Wenyu Chen 001; Mingsheng Fu; Xuanting Xie; Hong Qu (EMNLP (Findings), 2023)

An Empirical Perspective on Learning-to-rank. - Fan Li; Wenyu Chen 001; Zhiyou Yang; Mingsheng Fu; Yun Zhang; Hong Qu (ICCAI, 2023)

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. - Mingsheng Fu; Liwei Huang; Ananya Rao; Athirai A. Irissappane; Jie Zhang 002; Hong Qu (IEEE Trans. Ind. Informatics, 2023)

Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information. - Fan Li; Hong Qu; Mingsheng Fu; Liyan Zhang; Fan Zhang 068; Wenyu Chen 001; Ruixuan Sun; Haixian Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A Maximum Divergence Approach to Optimal Policy in Deep Reinforcement Learning. - Zhiyou Yang; Hong Qu; Mingsheng Fu; Wang Hu 001; Yongze Zhao (IEEE Trans. Cybern., 2023)

Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation. - Chao Zhai; Yuhui Du; Hong Qu; Tianlei Wang; Fan Zhang 068; Mingsheng Fu; Wenyu Chen 001 (Knowl. Based Syst., 2024)

ChainFrame: A Chain Framework for Point Cloud Classification. - Tianlei Wang; Mingsheng Fu; Keyu Chen; Fan Li; Hong Qu; Ma Luo (IEEE Trans. Ind. Informatics, 2024)

A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. - Liwei Huang; Mingsheng Fu; Ananya Rao; Athirai A. Irissappane; Jie Zhang 002; Chengzhong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization. - Fan Li; Mingsheng Fu; Wenyu Chen 001; Fan Zhang 068; Haixian Zhang; Hong Qu; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic training for handling textual label noise. - Shaohuan Cheng; Wenyu Chen 001; Wanlong Liu; Li Zhou 010; Honglin Zhao; Weishan Kong; Hong Qu; Mingsheng Fu (Appl. Intell., 2024)

A fully value distributional deep reinforcement learning framework for multi-agent cooperation. - Mingsheng Fu; Liwei Huang; Fan Li; Hong Qu; Chengzhong Xu 001 (Neural Networks, 2025)

Incremental model-based reinforcement learning with model constraint. - Zhiyou Yang; Mingsheng Fu; Hong Qu; Fan Li; Shuqing Shi; Wang Hu 001 (Neural Networks, 2025)

Q-ADER: An Effective Q-Learning for Recommendation With Diminishing Action Space. - Fan Li; Hong Qu; Liyan Zhang; Mingsheng Fu; Wenyu Chen 001; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)