| 2026 | AAAI | RefRea: Reference-Guided Reasoning with Meta-Cognition for Accurate Language Model Agents. | Yuxiang Mai, Qiyue Yin, Wancheng Ni, Jianwei Guo, Xiaogang Ouyang, Pei Xu, Kaiqi Huang |
| 2025 | EMNLP | Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning. | Zhaohui Yang, Chenghua He, Xiaowen Shi, Shihong Deng, Linjing Li, Qiyue Yin, Daxin Jiang |
| 2025 | IJCAI | Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity. | Yuxiang Mai, Qiyue Yin, Wancheng Ni, Pei Xu, Kaiqi Huang |
| 2025 | IJCNN | AdaPT: Adaptive Policy Transfer for Multi-agent Reinforcement Learning with Domain Classifiers. | Yuxiang Mai, Qiyue Yin, Wancheng Ni, Kaiqi Huang |
| 2024 | IJCAI | ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. | Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang |
| 2024 | IJCAI | M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games. | Tongtong Yu, Chenghua He, Qiyue Yin |
| 2023 | AAAI | Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. | Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang |
| 2023 | ICASSP | Improved Training Of Mixture-Of-Experts Language GANs. | Yekun Chai, Qiyue Yin, Junge Zhang |
| 2023 | IJCNN | Neural Text Classification by Jointly Learning to Cluster and Align. | Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang |
| 2023 | IJCNN | Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. | Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang |
| 2022 | IJCNN | Layer-Wisely Supervised Learning For One-Shot Neural Architecture Search. | Yifei Chen, Zhourui Guo, Qiyue Yin, Hao Chen, Kaiqi Huang |
| 2022 | IJCNN | Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. | Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang |
| 2022 | IJCNN | RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. | Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang |
| 2021 | AAAI | Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation. | Wei Cheng, Ziyan Luo, Qiyue Yin |
| 2021 | AAAI | Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. | Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang |
| 2021 | EMNLP | Counter-Contrastive Learning for Language GANs. | Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang |
| 2016 | ECCV | Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. | Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo |
| 2015 | APWEB | Learning to Hash for Recommendation with Tensor Data. | Qiyue Yin, Shu Wu, Liang Wang |
| 2015 | CIKM | Multi-view Clustering via Structured Low-rank Representation. | Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan |
| 2015 | CIKM | Incomplete Multi-view Clustering via Subspace Learning. | Qiyue Yin, Shu Wu, Liang Wang |
| 2015 | ICIP | Partially tagged image clustering. | Qiyue Yin, Shu Wu, Liang Wang |
| 2014 | ICIP | Semi-supervised subspace segmentation. | Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan |
| 2014 | ICPR | Discriminative Representative Selection via Structure Sparsity. | Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu |