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Generalizing to Unseen Domains: A Survey on Domain Generalization


Mar 10, 2021
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin

* Technical report 

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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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MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition


Feb 25, 2021
Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu

* To appear at ICASSP 2021 

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Adversarial example generation with AdaBelief Optimizer and Crop Invariance


Feb 07, 2021
Bo Yang, Hengwei Zhang, Yuchen Zhang, Kaiyong Xu, Jindong Wang

* 9pages, 3figures, 7tables 

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Cross-domain Activity Recognition via Substructural Optimal Transport


Jan 29, 2021
Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin

* 18 pages 

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Improving the Transferability of Adversarial Examples with the Adam Optimizer


Dec 01, 2020
Heng Yin, Hengwei Zhang, Jindong Wang, Ruiyu Dou


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Learning Causal Semantic Representation for Out-of-Distribution Prediction


Nov 03, 2020
Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu


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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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Transfer Learning with Dynamic Distribution Adaptation


Sep 17, 2019
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang

* ACM Transactions on Intelligent Systems and Technology (ACM TIST) 2019 
* Accepted to ACM Transactions on Intelligent Systems and Technology (ACM TIST) 2019, 25 pages. arXiv admin note: text overlap with arXiv:1807.07258 

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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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Easy Transfer Learning By Exploiting Intra-domain Structures


Apr 10, 2019
Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang

* Camera-ready version of IEEE International Conference on Multimedia and Expo (ICME) 2019; code available at http://transferlearning.xyz/code/traditional/EasyTL 

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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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Deep Transfer Learning for Cross-domain Activity Recognition


Aug 19, 2018
Jindong Wang, Vincent W. Zheng, Yiqiang Chen, Meiyu Huang

* ICCSE 2018 best paper; 8 pages 

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Visual Domain Adaptation with Manifold Embedded Distribution Alignment


Jul 28, 2018
Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu

* ACM Multimedia conference 2018 (ACM MM) ORAL paper; top 10 papers; 9 pages; code available at http://transferlearning.xyz 

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Balanced Distribution Adaptation for Transfer Learning


Jul 02, 2018
Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen

* ICDM 2017 

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Cross-position Activity Recognition with Stratified Transfer Learning


Jun 26, 2018
Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu

* An extension of our PerCom 18 paper arXiv:1801.00820; submit to PMC journal (Pervasive and Mobile Computing); 22 pages 

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Stratified Transfer Learning for Cross-domain Activity Recognition


Dec 25, 2017
Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, Philip S. Yu

* 10 pages; accepted by IEEE PerCom 2018; full paper. (camera-ready version) 

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Deep Learning for Sensor-based Activity Recognition: A Survey


Dec 14, 2017
Jindong Wang, Yiqiang Chen, Shuji Hao, Xiaohui Peng, Lisha Hu

* 10 pages, 2 figures, and 5 tables; submitted to Pattern Recognition Letters (second revision) 

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