A Q-values Sharing Framework for Multiple Independent Q-learners. - Changxi Zhu; Ho-fung Leung; Shuyue Hu; Yi Cai 001 (AAMAS, 2019)

Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks. - Xingwei Tan; Yi Cai 001; Changxi Zhu (EMNLP/IJCNLP (1), 2019)

Learning by Reusing Previous Advice in Teacher-Student Paradigm. - Changxi Zhu; Yi Cai 001; Ho-fung Leung; Shuyue Hu (AAMAS, 2020)

A Q-values Sharing Framework for Multiagent Reinforcement Learning under Budget Constraint. - Changxi Zhu; Ho-fung Leung; Shuyue Hu; Yi Cai 001 (CoRR, 2020)

Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy. - Yangyang Zhao; Zhenyu Wang 001; Changxi Zhu; Shihan Wang 001 (EMNLP (1), 2021)

A Q-values Sharing Framework for Multi-agent Reinforcement Learning under Budget Constraint. - Changxi Zhu; Ho-fung Leung; Shuyue Hu; Yi Cai 001 (ACM Trans. Auton. Adapt. Syst., 2021)

A Versatile Adaptive Curriculum Learning Framework for Task-oriented Dialogue Policy Learning. - Yang Zhao; Hua Qin; Zhenyu Wang 001; Changxi Zhu; Shihan Wang 001 (NAACL-HLT (Findings), 2022)

A Survey of Multi-Agent Reinforcement Learning with Communication. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (CoRR, 2022)

Learning by reusing previous advice: a memory-based teacher-student framework. - Changxi Zhu; Yi Cai 001; Shuyue Hu; Ho-fung Leung; Dickson K. W. Chiu (Auton. Agents Multi Agent Syst., 2023)

Detecting Dependency-Related Sentiment Features for Aspect-Level Sentiment Classification. - Xing Zhang; Jingyun Xu; Yi Cai 001; Xingwei Tan; Changxi Zhu (IEEE Trans. Affect. Comput., 2023)

A survey of multi-agent deep reinforcement learning with communication. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (Auton. Agents Multi Agent Syst., 2024)

Correction: A survey of multi-agent deep reinforcement learning with communication. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (Auton. Agents Multi Agent Syst., 2024)

Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (AAMAS, 2025)

Communication with factorized policy gradients in multi-agent deep reinforcement learning. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (Neural Comput. Appl., 2025)