| Unsupervised Representation Learning with Long-term Dynamics for Skeleton Based Action Recognition J Wen, N Zheng, R Liu, L Long, J Dai, Z Gong Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2644-2651, 2018 | 147 | 2018 |
| C^ 3 framework: An open-source pytorch code for crowd counting J Gao, W Lin, B Zhao, D Wang, C Gao, J Wen arXiv preprint arXiv:1907.02724, 2019 | 105 | 2019 |
| Bayesian Uncertainty Matching for Unsupervised Domain Adaptation J Wen, N Zheng, J Yuan, Z Gong, C Chen 28th International Joint Conference on Artificial Intelligence (IJCAI-19 …, 2019 | 52 | 2019 |
| Exploiting Local Feature Patterns for Unsupervised Domain Adaptation J Wen, R Liu, N Zheng, Q Zheng, Z Gong, J Yuan Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 48 | 2019 |
| Liangqu Long, Jianhua Dai, and Zhefeng Gong. Unsupervised representation learning with long-term dynamics for skeleton based action recognition N Zheng, J Wen, R Liu Proceedings of the AAAI Conference on Artificial Intelligence 32, 2, 2018 | 47 | 2018 |
| Contrast-reconstruction representation learning for self-supervised skeleton-based action recognition P Wang, J Wen, C Si, Y Qian, L Wang IEEE Transactions on Image Processing 31, 6224-6238, 2022 | 35 | 2022 |
| Policy optimization with stochastic mirror descent L Yang, Y Zhang, G Zheng, Q Zheng, P Li, J Huang, G Pan Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8823-8831, 2022 | 33 | 2022 |
| Beyond H-divergence: Domain adaptation theory with jensen-shannon divergence C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang arXiv preprint arXiv:2007.15567 6, 2020 | 29 | 2020 |
| Deep robotic grasping prediction with hierarchical rgb-d fusion Y Song, J Wen, D Liu, C Yu International Journal of Control, Automation and Systems 20 (1), 243-254, 2022 | 28 | 2022 |
| Earhealth: an earphone-based acoustic otoscope for detection of multiple ear diseases in daily life Y Jin, Y Gao, X Guo, J Wen, Z Li, Z Jin Proceedings of the 20th annual international conference on mobile systems …, 2022 | 20 | 2022 |
| Hierarchical domain adaptation with local feature patterns J Wen, J Yuan, Q Zheng, R Liu, Z Gong, N Zheng Pattern Recognition 124, 108445, 2022 | 20 | 2022 |
| Learning spatial-preserved skeleton representations for few-shot action recognition N Ma, H Zhang, X Li, S Zhou, Z Zhang, J Wen, H Li, J Gu, J Bu European Conference on Computer Vision, 174-191, 2022 | 16 | 2022 |
| Linear context transform block D Ruan, J Wen, N Zheng, M Zheng Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5553-5560, 2020 | 16* | 2020 |
| A novel domain adaptation theory with Jensen–Shannon divergence C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang Knowledge-Based Systems 257, 109808, 2022 | 14 | 2022 |
| Context-guided entropy minimization for semi-supervised domain adaptation N Ma, J Bu, L Lu, J Wen, S Zhou, Z Zhang, J Gu, H Li, X Yan Neural Networks 154, 270-282, 2022 | 13 | 2022 |
| Object-level representation learning for few-shot image classification L Long, W Wang, J Wen, M Zhang, Q Lin, BC Ooi arXiv preprint arXiv:1805.10777, 2018 | 12* | 2018 |
| A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record Y Ahuja, J Wen, C Hong, Z Xia, S Huang, T Cai Scientific reports 12 (1), 17737, 2022 | 10* | 2022 |
| Multimodal representation learning for predicting molecule–disease relations J Wen, X Zhang, E Rush, VA Panickan, X Li, T Cai, D Zhou, YL Ho, ... Bioinformatics 39 (2), btad085, 2023 | 7 | 2023 |
| Weakly semi-supervised phenotyping using electronic health records IE Nogues, J Wen, Y Lin, M Liu, SK Tedeschi, A Geva, T Cai, C Hong Journal of biomedical informatics 134, 104175, 2022 | 7 | 2022 |
| Discriminative radial domain adaptation Z Huang, J Wen, S Chen, L Zhu, N Zheng IEEE Transactions on Image Processing 32, 1419-1431, 2023 | 6 | 2023 |
