Mingsheng Fu

According to our database, Mingsheng Fu authored at least 23 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A fully value distributional deep reinforcement learning framework for multi-agent cooperation.

Mingsheng Fu, Liwei Huang, Fan Li, Hong Qu, Chengzhong Xu

Neural Networks, 2025

2024

Dynamic training for handling textual label noise.

Shaohuan Cheng, Wenyu Chen, Wanlong Liu, Li Zhou, Honglin Zhao, Weishan Kong, Hong Qu, Mingsheng Fu

Appl. Intell., November, 2024

Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization.

Fan Li, Mingsheng Fu, Wenyu Chen, Fan Zhang, Haixian Zhang, Hong Qu, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., July, 2024

A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning.

Liwei Huang, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu

IEEE Trans. Neural Networks Learn. Syst., March, 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, March, 2024

Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation.

Chao Zhai, Yuhui Du, Hong Qu, Tianlei Wang, Fan Zhang, Mingsheng Fu, Wenyu Chen

Knowl. Based Syst., 2024

2023

A Maximum Divergence Approach to Optimal Policy in Deep Reinforcement Learning.

Zhiyou Yang, Hong Qu, Mingsheng Fu, Wang Hu, Yongze Zhao

IEEE Trans. Cybern., March, 2023

Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information.

Fan Li, Hong Qu, Mingsheng Fu, Liyan Zhang, Fan Zhang, Wenyu Chen, Ruixuan Sun, Haixian Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2023

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations.

Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu

IEEE Trans. Ind. Informatics, 2023

An Empirical Perspective on Learning-to-rank.

Fan Li, Wenyu Chen, Zhiyou Yang, Mingsheng Fu, Yun Zhan, Hong Qu

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Adaptive Textual Label Noise Learning based on Pre-trained Models.

Shaohuan Cheng, Wenyu Chen, Mingsheng Fu, Xuanting Xie, Hong Qu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

An Attention-Based Interactive Learning-to-Rank Model for Document Retrieval.

Fan Zhang, Wenyu Chen, Mingsheng Fu, Fan Li, Hong Qu, Zhang Yi

IEEE Trans. Syst. Man Cybern. Syst., 2022

Deep Reinforcement Learning Framework for Category-Based Item Recommendation.

Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu

IEEE Trans. Cybern., 2022

2021

A deep reinforcement learning based long-term recommender system.

Liwei Huang, Mingsheng Fu, Fan Li, Hong Qu, Yangjun Liu, Wenyu Chen

Knowl. Based Syst., 2021

A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems.

Liwei Huang, Mingsheng Fu, Hong Qu, Siying Wang, Shangqian Hu

Expert Syst. Appl., 2021

2019

A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System.

Mingsheng Fu, Hong Qu, Zhang Yi, Li Lu, Yongsheng Liu

IEEE Trans. Cybern., 2019

Multi-Head Bidirectional Attention for MRC.

Dagmawi Moges, Hong Qu, Mingsheng Fu

Proceedings of the ICAIP 2019: 3rd International Conference on Advances in Image Processing, 2019

2018

Attention based collaborative filtering.

Mingsheng Fu, Hong Qu, Dagmawi Moges, Li Lu

Neurocomputing, 2018

Bag of meta-words: A novel method to represent document for the sentiment classification.

Mingsheng Fu, Hong Qu, Li Huang, Li Lu

Expert Syst. Appl., 2018

Deep Dilation on Multimodality Time Series for Human Activity Recognition.

Rui Xi, Ming Li, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu, Charles R. Haruna

IEEE Access, 2018

Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments.

Liwei Huang, Hong Qu, Mingsheng Fu, Wu Deng

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition.

Rui Xi, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A New Deep Neural Network Based Learning to Rank Method for Information Retrieval.

Mingsheng Fu, Hong Qu, Fan Li, Yanjun Liu

Proceedings of the IEEE International Conference on Information and Automation, 2018