| Image clustering by hyper-graph regularized non-negative matrix factorization K Zeng, J Yu, C Li, J You, T Jin Neurocomputing 138, 209-217, 2014 | 116 | 2014 |
| Low-rank matrix factorization with multiple hypergraph regularizer T Jin, J Yu, J You, K Zeng, C Li, Z Yu Pattern Recognition 48 (3), 1011-1022, 2015 | 60 | 2015 |
| Ompq: Orthogonal mixed precision quantization Y Ma, T Jin, X Zheng, Y Wang, H Li, Y Wu, G Jiang, W Zhang, R Ji Proceedings of the AAAI conference on artificial intelligence 37 (7), 9029-9037, 2023 | 38 | 2023 |
| Multi-view low-rank matrix factorization using multiple manifold regularization S Gao, Z Yu, T Jin, M Yin Neurocomputing 335, 143-152, 2019 | 32 | 2019 |
| Portraitbooth: A versatile portrait model for fast identity-preserved personalization X Peng, J Zhu, B Jiang, Y Tai, D Luo, J Zhang, W Lin, T Jin, C Wang, R Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 31 | 2024 |
| Robust ℓ2− Hypergraph and its applications T Jin, Z Yu, Y Gao, S Gao, X Sun, C Li Information Sciences 501, 708-723, 2019 | 28 | 2019 |
| Multiple graph regularized sparse coding and multiple hypergraph regularized sparse coding for image representation T Jin, Z Yu, L Li, C Li Neurocomputing 154, 245-256, 2015 | 27 | 2015 |
| Hypergraph Induced Convolutional Manifold Networks. T Jin, L Cao, B Zhang, X Sun, C Deng, R Ji IJCAI, 2670-2676, 2019 | 26 | 2019 |
| Deepwalk-aware graph convolutional networks T Jin, H Dai, L Cao, B Zhang, F Huang, Y Gao, R Ji Science China Information Sciences 65 (5), 152104, 2022 | 24 | 2022 |
| Correntropy-induced robust low-rank hypergraph T Jin, R Ji, Y Gao, X Sun, X Zhao, D Tao IEEE Transactions on Image Processing 28 (6), 2755-2769, 2018 | 23 | 2018 |
| Atrous spatial pyramid convolution for object detection with encoder-decoder F Jie, Q Nie, M Li, M Yin, T Jin Neurocomputing 464, 107-118, 2021 | 21 | 2021 |
| Cauchy loss induced block diagonal representation for robust multi-view subspace clustering M Yin, W Liu, M Li, T Jin, R Ji Neurocomputing 427, 84-95, 2021 | 20 | 2021 |
| Locality preserving collaborative representation for face recognition T Jin, Z Liu, Z Yu, X Min, L Li Neural Processing Letters 45, 967-979, 2017 | 17 | 2017 |
| An optimization criterion for generalized marginal Fisher analysis on undersampled problems WY Yang, SX Liu, TS Jin, XM Xu International Journal of Automation and Computing 8 (2), 193-200, 2011 | 8 | 2011 |
| A unified framework for 3d point cloud visual grounding H Lin, Y Luo, X Zheng, L Li, F Chao, T Jin, D Luo, Y Wang, L Cao, R Ji arXiv preprint arXiv:2308.11887, 2023 | 7 | 2023 |
| Expert list-wise ranking method based on sparse learning L Wang, Z Yu, T Jin, X Li, S Gao Neurocomputing 217, 119-124, 2016 | 6 | 2016 |
| NOP compression scheme for high speed DSPs based on VLIW architecture T Jin, M Ahn, D Yoo, D Suh, Y Choi, DH Kim, S Lee 2014 IEEE International Conference on Consumer Electronics (ICCE), 304-305, 2014 | 6 | 2014 |
| Scale-insensitive object detection via attention feature pyramid transformer network L Li, C Zheng, C Mao, H Deng, T Jin Neural Processing Letters, 1-15, 2022 | 5 | 2022 |
| Single image haze removal to deal with cross-color G Zhang, T Jin, Z Lv, L Li 2011 International Conference on Remote Sensing, Environment and …, 2011 | 5 | 2011 |
| Link-aware semi-supervised hypergraph T Jin, L Cao, F Jie, R Ji Information Sciences 507, 339-355, 2020 | 4 | 2020 |
