Jun Wen

According to our database, Jun Wen authored at least 24 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

HOVER: Hyperbolic Video-Text Retrieval.

Jun Wen, Yufeng Chen, Ruiqi Shi, Wei Ji, Menglin Yang, Difei Gao, Junsong Yuan, Roger Zimmermann

IEEE Trans. Image Process., 2025

Label efficient phenotyping for Long COVID using electronic health records.

Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan, Doris Yang, Alicia W. Chen, Xin Xiong, Xuan Wang, Michele Morris, Sara Morini, Rahul Sangar, Andrew Dey, Malarkodi J. Samayamuthu, Katherine P. Liao, Clara-Lea Bonzel, Vidisha Tanukonda, Monika Maripuri, Jacqueline Honerlaw, Yuk-Lam Ho, Shyam Visweswaran, Isaac S. Kohane, Kelly Cho, Gabriel A. Brat, Zongqi Xia, Tianxi Cai

npj Digit. Medicine, 2025

DOME: Directional medical embedding vectors from Electronic Health Records.

Jun Wen, Hao Xue, Everett Neil Rush, Vidul Ayakulangara Panickan, Tianrun Cai, Doudou Zhou, Yuk-Lam Ho, Lauren Costa, Edmon Begoli, Chuan Hong, J. Michael Gaziano, Kelly Cho, Katherine P. Liao, Junwei Lu, Tianxi Cai

J. Biomed. Informatics, 2025

ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysis.

Ziming Gan, Doudou Zhou, Everett Neil Rush, Vidul Ayakulangara Panickan, Yuk-Lam Ho, George Ostrouchov, Zhiwei Xu, Shuting Shen, Xin Xiong, Kimberly F. Greco, Chuan Hong, Clara-Lea Bonzel, Jun Wen, Lauren Costa, Tianrun Cai, Edmon Begoli, Zongqi Xia, J. Michael Gaziano, Katherine P. Liao, Kelly Cho, Tianxi Cai, Junwei Lu

J. Biomed. Informatics, 2025

2024

LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.

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

Patterns, January, 2024

Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records.

Isabelle-Emmanuella Nogues, Jun Wen, Yihan Zhao, Clara-Lea Bonzel, Victor M. Castro, Yucong Lin, Shike Xu, Jue Hou, Tianxi Cai

J. Biomed. Informatics, 2024

2023

Towards More General Loss and Setting in Unsupervised Domain Adaptation.

Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang

IEEE Trans. Knowl. Data Eng., October, 2023

Episodic task agnostic contrastive training for multi-task learning.

Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang

Neural Networks, May, 2023

Multimodal representation learning for predicting molecule-disease relations.

Jun Wen, Xiang Zhang, Everett Neil Rush, Vidul Ayakulangara Panickan, Xingyu Li, Tianrun Cai, Doudou Zhou, Yuk-Lam Ho, Lauren Costa, Edmon Begoli, Chuan Hong, J. Michael Gaziano, Kelly Cho, Junwei Lu, Katherine P. Liao, Marinka Zitnik, Tianxi Cai

Bioinform., February, 2023

Discriminative Radial Domain Adaptation.

Zenan Huang, Jun Wen, Siheng Chen, Linchao Zhu, Nenggan Zheng

IEEE Trans. Image Process., 2023

2022

Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition.

Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang

IEEE Trans. Image Process., 2022

Hierarchical domain adaptation with local feature patterns.

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

Pattern Recognit., 2022

A novel domain adaptation theory with Jensen-Shannon divergence.

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

Knowl. Based Syst., 2022

Weakly Semi-supervised phenotyping using Electronic Health records.

Isabelle-Emmanuella Nogues, Jun Wen, Yucong Lin, Molei Liu, Sara K. Tedeschi, Alon Geva, Tianxi Cai, Chuan Hong

J. Biomed. Informatics, 2022

EarHealth: an earphone-based acoustic otoscope for detection of multiple ear diseases in daily life.

Yincheng Jin, Yang Gao, Xiaotao Guo, Jun Wen, Zhengxiong Li, Zhanpeng Jin

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

2021

Spatially-Aware Context Neural Networks.

Dongsheng Ruan, Yu Shi, Jun Wen, Nenggan Zheng, Min Zheng

IEEE Trans. Image Process., 2021

Context-Guided Adaptive Network for Efficient Human Pose Estimation.

Lei Zhao, Jun Wen, Pengfei Wang, Nenggan Zheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Interventional Domain Adaptation.

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

CoRR, 2020

Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.

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

CoRR, 2020

Linear Context Transform Block.

Dongsheng Ruan, Jun Wen, Nenggan Zheng, Min Zheng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Linear Context Transform Block.

Dongsheng Ruan, Jun Wen, Nenggan Zheng

CoRR, 2019

Bayesian Uncertainty Matching for Unsupervised Domain Adaptation.

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

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Exploiting Local Feature Patterns for Unsupervised Domain Adaptation.

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition.

Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018