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2020 – today
- 2024
[j18]Qiyue Yin
, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Wancheng Ni, Kaiqi Huang, Bin Liang, Liang Wang:
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox. Mach. Intell. Res. 21(3): 411-430 (2024)- [j17]Yuxiang Mai, Yifan Zang, Qiyue Yin, Wancheng Ni, Kaiqi Huang:
Deep Multitask Multiagent Reinforcement Learning With Knowledge Transfer. IEEE Trans. Games 16(3): 566-576 (2024) - [c28]Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang:
ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. IJCAI 2024: 302-310 - [c27]Tongtong Yu, Chenghua He, Qiyue Yin:
M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games. IJCAI 2024: 8847-8850 - [c26]Qiyue Yin, Tongtong Yu, Xueou Feng, Jun Yang, Kaiqi Huang:
An Asymmetric Game Theoretic Learning Model. PRCV (3) 2024: 130-143 - [c25]Xueou Feng, Meng Yao, Shengqi Shen, Qiyue Yin, Jun Yang:
More Like Real World Game Challenge for Partially Observable Multi-agent Cooperation. PRCV (4) 2024: 451-465 - 2023
- [j16]Xiaojie Zhou, Xueou Feng, Qingming Li, Qiyue Yin, Jun Yang, Guoxia Yu, Qing Shi:
Position Weighted Convolutional Neural Network for Unbalanced Children Caries Diagnosis. IEEE Access 11: 77034-77044 (2023) - [j15]Qiyue Yin, Jun Yang, Kaiqi Huang, Meijing Zhao, Wancheng Ni, Bin Liang, Yan Huang, Shu Wu, Liang Wang:
AI in Human-computer Gaming: Techniques, Challenges and Opportunities. Int. J. Autom. Comput. 20(3): 299-317 (2023) - [j14]Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang:
Deep Learning for Free-Hand Sketch: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 285-312 (2023) - [c24]Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang:
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. AAAI 2023: 11717-11725 - [c23]Yang Yu, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 1615-1623 - [c22]Zhourui Guo, Meng Yao, Yang Yu, Qiyue Yin:
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language. CSAI 2023: 46-52 - [c21]Yekun Chai, Qiyue Yin, Junge Zhang:
Improved Training Of Mixture-Of-Experts Language GANs. ICASSP 2023: 1-5 - [c20]Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang:
Neural Text Classification by Jointly Learning to Cluster and Align. IJCNN 2023: 1-8 - [c19]Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang:
Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [i13]Yekun Chai, Qiyue Yin, Junge Zhang:
Improved Training of Mixture-of-Experts Language GANs. CoRR abs/2302.11875 (2023) - [i12]Meng Yao, Xueou Feng, Qiyue Yin:
More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation. CoRR abs/2305.08394 (2023) - [i11]Zhourui Guo, Meng Yao, Yang Yu, Qiyue Yin:
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language. CoRR abs/2309.11753 (2023) - 2022
- [j13]Xiaomeng Si, Qiyue Yin, Xiaojie Zhao, Li Yao:
Robust deep multi-view subspace clustering networks with a correntropy-induced metric. Appl. Intell. 52(13): 14871-14887 (2022) - [j12]Xingzhou Lou, Qiyue Yin, Junge Zhang, Chao Yu, Zhaofeng He, Nengjie Cheng, Kaiqi Huang:
Offline reinforcement learning with representations for actions. Inf. Sci. 610: 746-758 (2022) - [j11]Xiaomeng Si, Qiyue Yin, Xiaojie Zhao, Li Yao:
Consistent and diverse multi-View subspace clustering with structure constraint. Pattern Recognit. 121: 108196 (2022) - [j10]Pei Xu, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games. IEEE Trans. Games 14(4): 644-653 (2022) - [c18]Yifei Chen, Zhourui Guo, Qiyue Yin, Hao Chen, Kaiqi Huang:
Layer-Wisely Supervised Learning For One-Shot Neural Architecture Search. IJCNN 2022: 1-8 - [c17]Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang:
Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. IJCNN 2022: 1-8 - [c16]Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang:
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. IJCNN 2022: 1-8 - [c15]Tong Wang, Song Dai, Xuan Liu, Meijing Zhao, Haidong Zhang, Qiyue Yin:
MFSCD* Lite: A situation-based path planning algorithm for agent in wargame. ISCSIC 2022: 244-249 - [i10]Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang:
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. CoRR abs/2206.01207 (2022) - [i9]Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Kaiqi Huang, Bin Liang, Liang Wang:
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox. CoRR abs/2212.00253 (2022) - 2021
- [j9]Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Learning Macromanagement in Starcraft by Deep Reinforcement Learning. Sensors 21(10): 3332 (2021) - [j8]Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1503-1513 (2021) - [c14]Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. AAAI 2021: 7848-7856 - [c13]Wei Cheng, Ziyan Luo, Qiyue Yin:
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation. AAAI 2021: 12701-12709 - [c12]Xuan Liu, Meijing Zhao, Song Dai, Qiyue Yin, Wancheng Ni:
Tactical Intention Recognition in Wargame. ICCCS 2021: 429-434 - [c11]Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang:
Counter-Contrastive Learning for Language GANs. EMNLP (Findings) 2021: 4834-4839 - [i8]Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. CoRR abs/2104.04174 (2021) - [i7]Qiyue Yin, Jun Yang, Wancheng Ni, Bin Liang, Kaiqi Huang:
AI in Games: Techniques, Challenges and Opportunities. CoRR abs/2111.07631 (2021) - [i6]Meng Yao, Qiyue Yin, Jun Yang, Tongtong Yu, Shengqi Shen, Junge Zhang, Bin Liang, Kaiqi Huang:
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge. CoRR abs/2112.03809 (2021) - 2020
- [c10]Wei Cheng, Qiyue Yin, Junge Zhang:
Opponent Strategy Recognition In Real Time Strategy Game Using Deep Feature Fusion Neural Network. ICCCS 2020: 134-137 - [i5]Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. CoRR abs/2002.00867 (2020) - [i4]Xiyao Wang, Junge Zhang, Wenzhen Huang, Qiyue Yin:
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning. CoRR abs/2010.12914 (2020)
2010 – 2019
- 2019
- [j7]Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li:
Multi-view clustering via joint feature selection and partially constrained cluster label learning. Pattern Recognit. 93: 380-391 (2019) - 2018
- [j6]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing 278: 75-86 (2018) - [j5]Qiyue Yin, Shu Wu, Liang Wang:
Multiview Clustering via Unified and View-Specific Embeddings Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5541-5553 (2018) - 2017
- [j4]Qiyue Yin, Shu Wu, Liang Wang:
Unified subspace learning for incomplete and unlabeled multi-view data. Pattern Recognit. 67: 313-327 (2017) - [c9]Qiyue Yin, Yan Huang, Shu Wu, Liang Wang:
Learning Shared and Specific Factors for Multi-modal Data. CCCV (2) 2017: 89-98 - [i3]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval. CoRR abs/1705.09888 (2017) - 2016
- [c8]Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo:
Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. ECCV Workshops (1) 2016: 19-34 - [i2]Kaiye Wang, Qiyue Yin, Wei Wang, Shu Wu, Liang Wang:
A Comprehensive Survey on Cross-modal Retrieval. CoRR abs/1607.06215 (2016) - 2015
- [j3]Qiyue Yin, Shu Wu, Ran He, Liang Wang:
Multi-view clustering via pairwise sparse subspace representation. Neurocomputing 156: 12-21 (2015) - [j2]Ran He, Yingya Zhang, Zhenan Sun, Qiyue Yin:
Robust Subspace Clustering With Complex Noise. IEEE Trans. Image Process. 24(11): 4001-4013 (2015) - [j1]Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin:
Cross-Modal Subspace Learning via Pairwise Constraints. IEEE Trans. Image Process. 24(12): 5543-5556 (2015) - [c7]Qiyue Yin, Shu Wu, Liang Wang:
Learning to Hash for Recommendation with Tensor Data. APWeb 2015: 292-303 - [c6]Qiyue Yin, Shu Wu, Liang Wang:
Incomplete Multi-view Clustering via Subspace Learning. CIKM 2015: 383-392 - [c5]Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan:
Multi-view Clustering via Structured Low-rank Representation. CIKM 2015: 1911-1914 - [c4]Qiyue Yin, Shu Wu, Liang Wang:
Partially tagged image clustering. ICIP 2015: 4012-4016 - 2014
- [c3]Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan:
Semi-supervised subspace segmentation. ICIP 2014: 2854-2858 - [c2]Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu:
Discriminative Representative Selection via Structure Sparsity. ICPR 2014: 1401-1406 - [i1]Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin:
Cross-Modal Learning via Pairwise Constraints. CoRR abs/1411.7798 (2014) - 2012
- [c1]Qiyue Yin, Rong Sun, Liang Wang, Ran He:
Structure Sparsity for Multi-camera Gait Recognition. CCPR 2012: 259-267
Coauthor Index
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last updated on 2024-11-25 23:39 CET by the dblp team
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