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Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework


Mar 21, 2021
Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li


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Learning Invariant Representations across Domains and Tasks


Mar 03, 2021
Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu

* Technical report, 12 pages 

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Object Detection Made Simpler by Eliminating Heuristic NMS


Feb 25, 2021
Qiang Zhou, Chaohui Yu, Chunhua Shen, Zhibin Wang, Hao Li

* 11 pages. Code is available at: https://git.io/PSS 

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Learning to Match Distributions for Domain Adaptation


Jul 27, 2020
Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu

* Preprint. 20 Pages. Code available at https://github.com/jindongwang/transferlearning/tree/master/code/deep/Learning-to-Match 

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Transfer Learning with Dynamic Adversarial Adaptation Network


Sep 18, 2019
Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang

* ICDM 2019 long paper (9.08% acceptance rate); 9 pages; code available at http://transferlearning.xyz 

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FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare


Jul 22, 2019
Yiqiang Chen, Jindong Wang, Chaohui Yu, Wen Gao, Xin Qin

* IJCAI-19 Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (IJCAI (FML)) 2019 

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Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning


Mar 25, 2019
Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu

* Accepted by International Joint Conference on Neural Networks (IJCNN) 2019; 8 pages 

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