Jun Wen(文俊)
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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
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
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
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
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
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
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
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
Hierarchical domain adaptation with local feature patterns
J Wen, J Yuan, Q Zheng, R Liu, Z Gong, N Zheng
Pattern Recognition 124, 108445, 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
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
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
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
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
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
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
Liangqu Long, Jianhua Dai, and Zhefeng Gong. 2018. Unsupervised representation learning with long-term dynamics for skeleton based action recognition
N Zheng, J Wen, R Liu
Thirty-Second AAAI conference on artificial intelligence, 2018
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
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
Semi-supervised hypothesis transfer for source-free domain adaptation
N Ma, J Bu, L Lu, J Wen, Z Zhang, S Zhou, X Yan
arXiv preprint arXiv:2107.06735, 2021
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