| A comprehensive survey on cross-modal retrieval K Wang, Q Yin, W Wang, S Wu, L Wang arXiv preprint arXiv:1607.06215, 2016 | 306 | 2016 |
| Multi-view clustering via pairwise sparse subspace representation Q Yin, S Wu, R He, L Wang Neurocomputing 156, 12-21, 2015 | 116 | 2015 |
| Deep learning for free-hand sketch: A survey P Xu, TM Hospedales, Q Yin, YZ Song, T Xiang, L Wang IEEE transactions on pattern analysis and machine intelligence 45 (1), 285-312, 2022 | 87 | 2022 |
| Cross-modal subspace learning for fine-grained sketch-based image retrieval P Xu, Q Yin, Y Huang, YZ Song, Z Ma, L Wang, T Xiang, WB Kleijn, J Guo Neurocomputing 278, 75-86, 2018 | 84 | 2018 |
| Unified subspace learning for incomplete and unlabeled multi-view data Q Yin, S Wu, L Wang Pattern Recognition 67, 313-327, 2017 | 83 | 2017 |
| Incomplete multi-view clustering via subspace learning Q Yin, S Wu, L Wang Proceedings of the 24th ACM international on conference on information and …, 2015 | 76 | 2015 |
| Cross-modal subspace learning via pairwise constraints R He, M Zhang, L Wang, Y Ji, Q Yin IEEE Transactions on Image Processing 24 (12), 5543-5556, 2015 | 60 | 2015 |
| Cross-modal subspace learning via pairwise constraints R He, M Zhang, L Wang, Y Ji, Q Yin IEEE Transactions on Image Processing 24 (12), 5543-5556, 2015 | 60 | 2015 |
| Robust subspace clustering with complex noise R He, Y Zhang, Z Sun, Q Yin IEEE Transactions on Image Processing 24 (11), 4001-4013, 2015 | 44 | 2015 |
| Deep self-supervised representation learning for free-hand sketch P Xu, Z Song, Q Yin, YZ Song, L Wang IEEE Transactions on Circuits and Systems for Video Technology 31 (4), 1503-1513, 2020 | 40 | 2020 |
| Multiview clustering via unified and view-specific embeddings learning Q Yin, S Wu, L Wang IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5541-5553, 2018 | 38 | 2018 |
| Consistent and diverse multi-view subspace clustering with structure constraint X Si, Q Yin, X Zhao, L Yao Pattern Recognition 121, 108196, 2022 | 37 | 2022 |
| Instance-level coupled subspace learning for fine-grained sketch-based image retrieval P Xu, Q Yin, Y Qi, YZ Song, Z Ma, L Wang, J Guo Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 30 | 2016 |
| Multi-view clustering via joint feature selection and partially constrained cluster label learning Q Yin, J Zhang, S Wu, H Li Pattern Recognition 93, 380-391, 2019 | 27 | 2019 |
| Multi-view clustering via structured low-rank representation D Wang, Q Yin, R He, L Wang, T Tan Proceedings of the 24th ACM international on conference on information and …, 2015 | 9 | 2015 |
| AI in games: techniques, challenges and opportunities Q Yin, J Yang, W Ni, B Liang, K Huang ArXiv, vol. abs/2111.07631, 2021 | 7* | 2021 |
| Tactical intention recognition in wargame X Liu, M Zhao, S Dai, Q Yin, W Ni 2021 IEEE 6th International Conference on Computer and Communication Systems …, 2021 | 6 | 2021 |
| Neural text classification by jointly learning to cluster and align Y Chai, H Zhang, Q Yin, J Zhang 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 4 | 2023 |
| Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Q Yin, T Yu, S Shen, J Yang, M Zhao, K Huang, B Liang, L Wang arXiv preprint arXiv:2212.00253, 2022 | 4 | 2022 |
| Offline reinforcement learning with representations for actions X Lou, Q Yin, J Zhang, C Yu, Z He, N Cheng, K Huang Information Sciences 610, 746-758, 2022 | 4 | 2022 |
Liang WangNational Lab of Pattern RecognitionEmail confirmado em nlpr.ia.ac.cn
