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LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records


May 19, 2023
Jun Wen, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Victor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, Yuk-Lam Ho, Vidul A. Panickan, Lauren Costa, Chuan Hong, J. Michael Gaziano, Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai

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* ERHs data 

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Discriminative Radial Domain Adaptation


Jan 01, 2023
Zenan Huang, Jun Wen, Siheng Chen, Linchao Zhu, Nenggan Zheng

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Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition


Nov 22, 2021
Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang

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Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation


Jul 14, 2021
Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan

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Interventional Domain Adaptation


Nov 07, 2020
Jun Wen, Changjian Shui, Kun Kuang, Junsong Yuan, Zenan Huang, Zhefeng Gong, Nenggan Zheng

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Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence


Jul 30, 2020
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang

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Deep Robotic Prediction with hierarchical RGB-D Fusion


Sep 17, 2019
Yaoxian Song, Jun Wen, Yuejiao Fei, Changbin Yu

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* 8 pages, 8 figures, submit to ICRA2020 

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C^3 Framework: An Open-source PyTorch Code for Crowd Counting


Jul 05, 2019
Junyu Gao, Wei Lin, Bin Zhao, Dong Wang, Chenyu Gao, Jun Wen

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* Technical report 

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Bayesian Uncertainty Matching for Unsupervised Domain Adaptation


Jun 24, 2019
Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen

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* IJCAI-2019 Accepted 

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Exploiting Local Feature Patterns for Unsupervised Domain Adaptation


Nov 18, 2018
Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan

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* AAAI-2019 accepted 

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