Structure Sparsity for Multi-camera Gait Recognition. - Qiyue Yin; Rong Sun; Liang Wang 001; Ran He 001 (CCPR, 2012)

Semi-supervised subspace segmentation. - Dong Wang 004; Qiyue Yin; Ran He 001; Liang Wang 001; Tieniu Tan (ICIP, 2014)

Discriminative Representative Selection via Structure Sparsity. - Baoxing Wang; Qiyue Yin; Shu Wu; Liang Wang 001; Guiquan Liu (ICPR, 2014)

Cross-Modal Learning via Pairwise Constraints. - Ran He 001; Man Zhang 005; Liang Wang 001; Ye Ji; Qiyue Yin (CoRR, 2014)

Learning to Hash for Recommendation with Tensor Data. - Qiyue Yin; Shu Wu; Liang Wang 001 (APWeb, 2015)

Multi-view Clustering via Structured Low-rank Representation. - Dong Wang 004; Qiyue Yin; Ran He 001; Liang Wang 001; Tieniu Tan (CIKM, 2015)

Incomplete Multi-view Clustering via Subspace Learning. - Qiyue Yin; Shu Wu; Liang Wang 001 (CIKM, 2015)

Partially tagged image clustering. - Qiyue Yin; Shu Wu; Liang Wang 001 (ICIP, 2015)

Multi-view clustering via pairwise sparse subspace representation. - Qiyue Yin; Shu Wu; Ran He 001; Liang Wang 001 (Neurocomputing, 2015)

Robust Subspace Clustering With Complex Noise. - Ran He 001; Yingya Zhang; Zhenan Sun; Qiyue Yin (IEEE Trans. Image Process., 2015)

Cross-Modal Subspace Learning via Pairwise Constraints. - Ran He 001; Man Zhang 005; Liang Wang 001; Ye Ji; Qiyue Yin (IEEE Trans. Image Process., 2015)

Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. - Peng Xu 005; Qiyue Yin; Yonggang Qi; Yi-Zhe Song; Zhanyu Ma; Liang Wang 001; Jun Guo 002 (ECCV Workshops (1), 2016)

A Comprehensive Survey on Cross-modal Retrieval. - Kaiye Wang; Qiyue Yin; Wei Wang 115; Shu Wu; Liang Wang 001 (CoRR, 2016)

Learning Shared and Specific Factors for Multi-modal Data. - Qiyue Yin; Yan Huang 008; Shu Wu; Liang Wang 001 (CCCV (2), 2017)

Unified subspace learning for incomplete and unlabeled multi-view data. - Qiyue Yin; Shu Wu; Liang Wang 001 (Pattern Recognit., 2017)

Cross-modal subspace learning for fine-grained sketch-based image retrieval. - Peng Xu 005; Qiyue Yin; Yongye Huang; Yi-Zhe Song; Zhanyu Ma; Liang Wang 001; Tao Xiang 002; W. Bastiaan Kleijn; Jun Guo 002 (Neurocomputing, 2018)

Multiview Clustering via Unified and View-Specific Embeddings Learning. - Qiyue Yin; Shu Wu; Liang Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multi-view clustering via joint feature selection and partially constrained cluster label learning. - Qiyue Yin; Junge Zhang; Shu Wu; Hexi Li (Pattern Recognit., 2019)

Opponent Strategy Recognition In Real Time Strategy Game Using Deep Feature Fusion Neural Network. - Wei Cheng; Qiyue Yin; Junge Zhang (ICCCS, 2020)

Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning. - Xiyao Wang; Junge Zhang; Wenzhen Huang; Qiyue Yin (CoRR, 2020)

Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation. - Wei Cheng; Ziyan Luo; Qiyue Yin (AAAI, 2021)

Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. - Wenzhen Huang; Qiyue Yin; Junge Zhang; Kaiqi Huang (AAAI, 2021)

Tactical Intention Recognition in Wargame. - Xuan Liu; Meijing Zhao; Song Dai; Qiyue Yin; Wancheng Ni (ICCCS, 2021)

Counter-Contrastive Learning for Language GANs. - Yekun Chai; Haidong Zhang; Qiyue Yin; Junge Zhang (EMNLP (Findings), 2021)

AI in Games: Techniques, Challenges and Opportunities. - Qiyue Yin; Jun Yang 028; Wancheng Ni; Bin Liang 001; Kaiqi Huang (CoRR, 2021)

The Partially Observable Asynchronous Multi-Agent Cooperation Challenge. - Meng Yao; Qiyue Yin; Jun Yang 028; Tongtong Yu; Shengqi Shen; Junge Zhang; Bin Liang 001; Kaiqi Huang (CoRR, 2021)

Learning Macromanagement in Starcraft by Deep Reinforcement Learning. - Wenzhen Huang; Qiyue Yin; Junge Zhang; Kaiqi Huang (Sensors, 2021)

Deep Self-Supervised Representation Learning for Free-Hand Sketch. - Peng Xu 005; Zeyu Song; Qiyue Yin; Yi-Zhe Song; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Layer-Wisely Supervised Learning For One-Shot Neural Architecture Search. - Yifei Chen; Zhourui Guo; Qiyue Yin; Hao Chen 103; Kaiqi Huang (IJCNN, 2022)

Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. - Hao Chen 103; Guangkai Yang; Junge Zhang; Qiyue Yin; Kaiqi Huang (IJCNN, 2022)

RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. - Hao Chen 103; Guangkai Yang; Junge Zhang; Qiyue Yin; Kaiqi Huang (IJCNN, 2022)

MFSCD* Lite: A situation-based path planning algorithm for agent in wargame. - Tong Wang; Song Dai; Xuan Liu; Meijing Zhao; Haidong Zhang; Qiyue Yin (ISCSIC, 2022)

Robust deep multi-view subspace clustering networks with a correntropy-induced metric. - Xiaomeng Si; Qiyue Yin; Xiaojie Zhao; Li Yao 002 (Appl. Intell., 2022)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox. - Qiyue Yin; Tongtong Yu; Shengqi Shen; Jun Yang 028; Meijing Zhao; Kaiqi Huang; Bin Liang 001; Liang Wang 001 (CoRR, 2022)

Offline reinforcement learning with representations for actions. - Xingzhou Lou; Qiyue Yin; Junge Zhang; Chao Yu 004; Zhaofeng He; Nengjie Cheng; Kaiqi Huang (Inf. Sci., 2022)

Consistent and diverse multi-View subspace clustering with structure constraint. - Xiaomeng Si; Qiyue Yin; Xiaojie Zhao; Li Yao 002 (Pattern Recognit., 2022)

Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games. - Pei Xu; Qiyue Yin; Junge Zhang; Kaiqi Huang (IEEE Trans. Games, 2022)

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. - Pei Xu; Junge Zhang; Qiyue Yin; Chao Yu 004; Yaodong Yang 001; Kaiqi Huang (AAAI, 2023)

Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning. - Yang Yu 056; Qiyue Yin; Junge Zhang; Kaiqi Huang (AAMAS, 2023)

Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language. - Zhourui Guo; Meng Yao; Yang Yu 056; Qiyue Yin (CSAI, 2023)

Improved Training Of Mixture-Of-Experts Language GANs. - Yekun Chai; Qiyue Yin; Junge Zhang (ICASSP, 2023)

Neural Text Classification by Jointly Learning to Cluster and Align. - Yekun Chai; Haidong Zhang; Qiyue Yin; Junge Zhang (IJCNN, 2023)

Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. - Yang Yu 056; Qiyue Yin; Junge Zhang; Hao Chen 103; Kaiqi Huang (IJCNN, 2023)

Position Weighted Convolutional Neural Network for Unbalanced Children Caries Diagnosis. - Xiaojie Zhou; Xueou Feng; Qingming Li; Qiyue Yin; Jun Yang 028; Guoxia Yu; Qing Shi (IEEE Access, 2023)

More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation. - Meng Yao; Xueou Feng; Qiyue Yin (CoRR, 2023)

AI in Human-computer Gaming: Techniques, Challenges and Opportunities. - Qiyue Yin; Jun Yang 028; Kaiqi Huang; Meijing Zhao; Wancheng Ni; Bin Liang 001; Yan Huang 008; Shu Wu; Liang Wang 001 (Int. J. Autom. Comput., 2023)

Deep Learning for Free-Hand Sketch: A Survey. - Peng Xu 005; Timothy M. Hospedales; Qiyue Yin; Yi-Zhe Song; Tao Xiang 002; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. - Yang Yu 056; Qiyue Yin; Junge Zhang; Pei Xu; Kaiqi Huang (IJCAI, 2024)

M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games. - Tongtong Yu; Chenghua He; Qiyue Yin (IJCAI, 2024)

More Like Real World Game Challenge for Partially Observable Multi-agent Cooperation. - Xueou Feng; Meng Yao; Shengqi Shen; Qiyue Yin; Jun Yang 028 (PRCV (4), 2024)

An Asymmetric Game Theoretic Learning Model. - Qiyue Yin; Tongtong Yu; Xueou Feng; Jun Yang 028; Kaiqi Huang (PRCV (3), 2024)

Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox. - Qiyue Yin; Tongtong Yu; Shengqi Shen; Jun Yang 028; Meijing Zhao; Wancheng Ni; Kaiqi Huang; Bin Liang 001; Liang Wang 001 (Mach. Intell. Res., 2024)

Deep Multitask Multiagent Reinforcement Learning With Knowledge Transfer. - Yuxiang Mai; Yifan Zang 001; Qiyue Yin; Wancheng Ni; Kaiqi Huang (IEEE Trans. Games, 2024)

The impact of rational and experiential thinking styles on resource allocation in human - Computer fighting games. - Juexi Liu; Qiyue Yin; Kaiqi Huang; Lei Zhu (Comput. Hum. Behav., 2025)

Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning. - Zhaohui Yang; Chenghua He; Xiaowen Shi; Linjing Li; Qiyue Yin; Shihong Deng; Daxin Jiang (CoRR, 2025)

WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models. - Qiyue Yin; Pei Xu; Qiaozhe Li; Shengda Liu; Shengqi Shen; Tong Wang; Yihong Han; Xiaonan Zhao; Likun Yang; Shiyue Cao; Shiyu Qiu; Yuxuan Liu; et al. (CoRR, 2025)

Relation-Aware Learning for Multitask Multiagent Cooperative Games. - Yang Yu 056; Likun Yang; Zhourui Guo; Yongjian Ren; Qiyue Yin; Junge Zhang; Kaiqi Huang (IEEE Trans. Games, 2025)