Jindong Wang | Publications

[Google scholar]

[DBLP]

Preprints

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. Wang Lu, Xixu Hu, Jindong Wang, Xing Xie. [arxiv]
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, Xing Xie. [arxiv]
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning. Hao Chen, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Marios Savvides, Bhiksha Raj. [arxiv]
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang. [arxiv]
Domain-Specific Risk Minimization for Out-of-Distribution Generalization. YiFan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Xing Xie, and Dacheng Tao. [arxiv]
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, and Marios Savvides. [arxiv]
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie. [arxiv]
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift. Yivan Zhang, Jindong Wang, Xing Xie, and Masashi Sugiyama. [arxiv]
Boosting Cross-Domain Speech Recognition with Self-Supervision. Han Zhu, Gaofeng Cheng, Jindong Wang, Wenxin Hou, Pengyuan Zhang, and Yonghong Yan. [arxiv]
Learning Invariant Representations across Domains and Tasks. Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, and Tie-Yan Liu. [arxiv]
Learning to match distributions for domain adaptation. Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, and Tie-Yan Liu. [arxiv]

Books

Introduction to Transfer Learning

Jindong Wang , and Yiqiang Chen

2021 | [ HTML Zhihu ]

Papers

2023

Out-of-distribution Representation Learning for Time Series Classification

Wang Lu, Jindong Wang^# , Xinwei Sun, Yiqiang Chen, and Xing Xie

International Conference on Learning Representations (ICLR) 2023 | [ arXiv Code ]
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang^# , Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, and Xing Xie

International Conference on Learning Representations (ICLR) 2023 | [ arXiv Code ]
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning

Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang^# , Bernt Schiele, Xing Xie, Bhiksha Raj, and Marios Savvides

International Conference on Learning Representations (ICLR) 2023 | [ arXiv Code ]

2022

USB: A Unified Semi-supervised Learning Benchmark

Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang^# , Xing Xie, and Yue Zhang

Advances in Neural Information Processing Systems (NeurIPS) 2022 | [ arXiv Blog Code Zhihu ]
Margin Calibration for Long-Tailed Visual Recognition

Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang^# , and Takahiro Shinozaki

Asian Conference on Machine Learning (ACML) 2022 | [ arXiv Code Zhihu ]
```
@inproceedings{wang2022margin,
  title = {Margin Calibration for Long-Tailed Visual Recognition},
  author = {Wang, Yidong and Zhang, Bowen and Hou, Wenxin and Wu, Zhen and Wang, Jindong and Shinozaki, Takahiro},
  booktitle = {Asian Conference on Machine Learning (ACML)},
  year = {2022},
  arxiv = {https://arxiv.org/abs/2112.07225},
  bibtex_show = {true},
  corr = {true},
  zhihu = {https://zhuanlan.zhihu.com/p/579153319},
  code = {https://github.com/microsoft/robustlearn}
}
```
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction

Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang , Takahiro Shinozaki, Manabu Okumura, and Yue Zhang

International Conference on Computational Linguistics (COLING) 2022 | [ arXiv PDF Code ]
Generalizing to Unseen Domains: A Survey on Domain Generalization

Jindong Wang , Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, and Philip S. Yu

IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022 | [ arXiv PDF Code Slides Website ]
```
@article{wang2022generalizing,
  title = {Generalizing to Unseen Domains: A Survey on Domain Generalization},
  author = {Wang, Jindong and Lan, Cuiling and Liu, Chang and Ouyang, Yidong and Qin, Tao and Lu, Wang and Chen, Yiqiang and Zeng, Wenjun and Yu, Philip S.},
  journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
  year = {2022},
  bibtex_show = {true},
  abbr = {TKDE},
  arxiv = {https://arxiv.org/abs/2103.03097},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/DeepDG},
  slides = {DGtutorial_ijcai22.pdf},
  selected = {true},
  pdf = {DG_survey_TKDE22.pdf},
  website = {https://dgresearch.github.io/}
}
```
Domain-invariant Feature Exploration for Domain Generalization

Wang Lu, Jindong Wang^# , Haoliang Li, Yiqiang Chen, and Xing Xie

Transactions on Machine Learning Research (TMLR) 2022 | [ arXiv PDF Website ]
```
@article{lu2022domain,
  title = {Domain-invariant Feature Exploration for Domain Generalization },
  author = {Lu, Wang and Wang, Jindong and Li, Haoliang and Chen, Yiqiang and Xie, Xing},
  journal = {Transactions on Machine Learning Research (TMLR)},
  year = {2022},
  bibtex_show = {true},
  corr = {true},
  abbr = {TMLR},
  website = {https://openreview.net/forum?id=0xENE7HiYm},
  arxiv = {https://arxiv.org/abs/2207.12020},
  pdf = {tmlr22-difex.pdf}
}
```
Domain generalization for activity recognition via adaptive feature fusion

Xin Qin, Jindong Wang^# , Yiqiang Chen, Wang Lu, and Xinlong Jiang

ACM Transactions on Intelligent Systems and Technology (TIST) 2022 | [ arXiv PDF ]
```
@article{qin2022domain,
  title = {Domain generalization for activity recognition via adaptive feature fusion},
  author = {Qin, Xin and Wang, Jindong and Chen, Yiqiang and Lu, Wang and Jiang, Xinlong},
  journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
  year = {2022},
  bibtex_show = {true},
  abbr = {TIST},
  corr = {true},
  arxiv = {https://arxiv.org/abs/2207.11221},
  pdf = {tist22-affar.pdf}
}
```
Memory-Guided Multi-View Multi-Domain Fake News Detection

Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang , and Fuzhen Zhuang

IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022 | [ arXiv PDF ]
```
@article{zhu2022memory,
  title = {Memory-Guided Multi-View Multi-Domain Fake News Detection},
  author = {Zhu, Yongchun and Sheng, Qiang and Cao, Juan and Nan, Qiong and Shu, Kai and Wu, Minghui and Wang, Jindong and Zhuang, Fuzhen},
  journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
  year = {2022},
  bibtex_show = {true},
  abbr = {TKDE},
  arxiv = {https://arxiv.org/abs/2206.12808},
  pdf = {tkde22-mdfend.pdf}
}
```
Decoupled Federated Learning for ASR with Non-IID Data

Han Zhu, Jindong Wang , Gaofeng Cheng, Pengyuan Zhang, and Yonghong Yan

Interspeech 2022 | [ arXiv PDF ]
Wav2vec-s: Semi-supervised pre-training for speech recognition

Han Zhu, Li Wang, Ying Hou, Jindong Wang , Gaofeng Cheng, Pengyuan Zhang, and Yonghong Yan

Interspeech 2022 | [ arXiv PDF ]
Personalized Federated Learning with Adaptive Batchnorm for Healthcare

Wang Lu, Jindong Wang^# , Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, and Tao Qin

IEEE Transactions on Big Data (TBD) 2022 | [ arXiv HTML PDF Code ]
```
@article{lu2022personalized,
  title = {Personalized Federated Learning with Adaptive Batchnorm for Healthcare},
  author = {Lu, Wang and Wang, Jindong and Chen, Yiqiang and Qin, Xin and Xu, Renjun and Dimitriadis, Dimitrios and Qin, Tao},
  journal = {IEEE Transactions on Big Data (TBD)},
  year = {2022},
  bibtex_show = {true},
  corr = {true},
  abbr = {TBD},
  arxiv = {https://arxiv.org/abs/2112.00734},
  pdf = {tbd22-fedap.pdf},
  html = {https://ieeexplore.ieee.org/document/9780172},
  code = {https://github.com/microsoft/PersonalizedFL}
}
```
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition

Wang Lu, Jindong Wang^# , Yiqiang Chen, Sinno Pan, Chunyu Hu, and Xin Qin

Proceedings of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT, i.e., UbiComp) 2022 | [ arXiv PDF ]
```
@article{lu2022semantic,
  title = {Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition},
  author = {Lu, Wang and Wang, Jindong and Chen, Yiqiang and Pan, Sinno and Hu, Chunyu and Qin, Xin},
  journal = {Proceedings of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT, i.e., UbiComp)},
  year = {2022},
  abbr = {IMWUT},
  bibtex_show = {true},
  corr = {true},
  selected = {true},
  arxiv = {http://arxiv.org/abs/2206.06629},
  pdf = {imwut22-sdmix.pdf}
}
```
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection

Yuxin Zhang, Jindong Wang^# , Yiqiang Chen, Han Yu, and Tao Qin

IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022 | [ arXiv PDF Code ]
```
@article{zhang2022adaptive,
  title = {Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection},
  author = {Zhang, Yuxin and Wang, Jindong and Chen, Yiqiang and Yu, Han and Qin, Tao},
  journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
  year = {2022},
  abbr = {TKDE},
  bibtex_show = {true},
  corr = {true},
  selected = {true},
  arxiv = {https://arxiv.org/abs/2201.00464},
  pdf = {tkde22_amsl.pdf},
  code = {https://github.com/zhangyuxin621/AMSL}
}
```
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition

Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang^# , Tao Qin, Renjun Xu, and Takahiro Shinozaki

IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 2022 | [ arXiv Code ]
```
@article{hou2022exploiting,
  title = {Exploiting Adapters for Cross-lingual Low-resource Speech Recognition},
  author = {Hou, Wenxin and Zhu, Han and Wang, Yidong and Wang, Jindong and Qin, Tao and Xu, Renjun and Shinozaki, Takahiro},
  journal = {IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)},
  year = {2022},
  abbr = {TASLP},
  bibtex_show = {true},
  arxiv = {https://arxiv.org/abs/2105.11905},
  corr = {true},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/ASR/Adapter}
}
```
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare

Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang , and Xing Xie

IJCAI’22 federated learning workshop (FL-IJCAI) 2022 | [ arXiv Code ]

(Innovation Award)

Local and global alignments for generalizable sensor-based human activity recognition

Wang Lu, Jindong Wang^# , and Yiqiang Chen

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022 | [ HTML ]

@inproceedings{lu2022local,
  title = {Local and global alignments for generalizable sensor-based human activity recognition},
  author = {Lu, Wang and Wang, Jindong and Chen, Yiqiang},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2022},
  bibtex_show = {true},
  corr = {true},
  abbr = {ICASSP},
  html = {https://ieeexplore.ieee.org/abstract/document/9747363}
}

ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing

Ziqi Zhang, Yuanchun Li, Jindong Wang , Bingyan Liu, Ding Li, Xiangqun Chen, Yao Guo, and Yunxin Liu

44th International Conference on Software Engineering (ICSE) 2022 | [ PDF Code Video Zhihu ]
```
@inproceedings{zhang2022remos,
  title = {ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing},
  author = {Zhang, Ziqi and Li, Yuanchun and Wang, Jindong and Liu, Bingyan and Li, Ding and Chen, Xiangqun and Guo, Yao and Liu, Yunxin},
  booktitle = {44th International Conference on Software Engineering (ICSE)},
  year = {2022},
  bibtex_show = {true},
  abbr = {ICSE},
  pdf = {icse22-remos.pdf},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/deep/ReMoS},
  zhihu = {https://zhuanlan.zhihu.com/p/446453487},
  video = {https://www.bilibili.com/video/BV1mi4y1C7bP},
  selected = {true}
}
```

2021

Unsupervised deep anomaly detection for multi-sensor time-series signals

Yuxin Zhang, Yiqiang Chen, Jindong Wang^# , and Zhiwen Pan

IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021 | [ arXiv PDF Zhihu ]
```
@article{zhang2021unsupervised,
  title = {Unsupervised deep anomaly detection for multi-sensor time-series signals},
  author = {Zhang, Yuxin and Chen, Yiqiang and Wang, Jindong and Pan, Zhiwen},
  journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
  year = {2021},
  publisher = {IEEE},
  abbr = {TKDE},
  arxiv = {https://arxiv.org/abs/2107.12626},
  bibtex_show = {true},
  corr = {true},
  zhihu = {https://zhuanlan.zhihu.com/p/399411106},
  pdf = {tkde21.pdf}
}
```

Cross-domain activity recognition via substructural optimal transport

Wang Lu, Yiqiang Chen, Jindong Wang , and Xin Qin

Neurocomputing 2021 | [ arXiv HTML PDF Code Zhihu ]

@article{lu2021cross,
  title = {Cross-domain activity recognition via substructural optimal transport},
  author = {Lu, Wang and Chen, Yiqiang and Wang, Jindong and Qin, Xin},
  journal = {Neurocomputing},
  volume = {454},
  pages = {65--75},
  year = {2021},
  publisher = {Elsevier},
  abbr = {NeuCom},
  bibtex_show = {true},
  arxiv = {https://arxiv.org/abs/2102.03353},
  html = {https://www.sciencedirect.com/science/article/abs/pii/S0925231221007025},
  zhihu = {https://zhuanlan.zhihu.com/p/356904023},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/traditional/sot},
  pdf = {neurocomputing21-sot.pdf}
}

Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling

Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang^# , Manabu Okumura, and Takahiro Shinozaki

Advances in Neural Information Processing Systems (NeurIPS) 2021 | [ arXiv PDF Code Slides Video Zhihu ]
```
@article{zhang2021flexmatch,
  title = {Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling},
  author = {Zhang, Bowen and Wang, Yidong and Hou, Wenxin and Wu, Hao and Wang, Jindong and Okumura, Manabu and Shinozaki, Takahiro},
  journal = {Advances in Neural Information Processing Systems (NeurIPS)},
  volume = {34},
  year = {2021},
  bibtex_show = {true},
  corr = {true},
  abbr = {NeurIPS},
  arxiv = {https://arxiv.org/abs/2110.08263},
  pdf = {http://jd92.wang/assets/files/flexmatch_nips21.pdf},
  code = {https://github.com/TorchSSL/TorchSSL},
  zhihu = {https://zhuanlan.zhihu.com/p/422930830},
  video = {https://www.youtube.com/watch?v=aYuUwyZl_WY},
  slides = {https://www.jianguoyun.com/p/DXeFVg8QjKnsBRibj54E},
  selected = {true}
}
```
Learning causal semantic representation for out-of-distribution prediction

Chang Liu, Xinwei Sun, Jindong Wang , Haoyue Tang, Tao Li, Tao Qin, Wei Chen, and Tie-Yan Liu

Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 | [ arXiv PDF Code ]
```
@inproceedings{liu2021learning,
  title = {Learning causal semantic representation for out-of-distribution prediction},
  author = {Liu, Chang and Sun, Xinwei and Wang, Jindong and Tang, Haoyue and Li, Tao and Qin, Tao and Chen, Wei and Liu, Tie-Yan},
  booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  bibtex_show = {true},
  abbr = {NeurIPS},
  arxiv = {https://arxiv.org/abs/2011.01681},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/deep/CSG},
  pdf = {nips21-csusalcsg.pdf}
}
```
Adarnn: Adaptive learning and forecasting of time series

Yuntao Du, Jindong Wang^# , Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, and Chongjun Wang

The 30th ACM International Conference on Information & Knowledge Management (CIKM) 2021 | [ arXiv PDF Code ]
```
@inproceedings{du2021adarnn,
  title = {Adarnn: Adaptive learning and forecasting of time series},
  author = {Du, Yuntao and Wang, Jindong and Feng, Wenjie and Pan, Sinno and Qin, Tao and Xu, Renjun and Wang, Chongjun},
  booktitle = {The 30th ACM International Conference on Information \& Knowledge Management (CIKM)},
  pages = {402--411},
  year = {2021},
  bibtex_show = {true},
  abbr = {CIKM},
  corr = {true},
  selected = {true},
  arxiv = {https://arxiv.org/abs/2108.04443},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/deep/adarnn},
  pdf = {cikm21-adarnn.pdf}
}
```
Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching

Wenxin Hou, Jindong Wang^# , Xu Tan, Tao Qin, and Takahiro Shinozaki

Interspeech 2021 | [ arXiv PDF Code ]
```
@inproceedings{hou2021cross,
  title = {Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching},
  author = {Hou, Wenxin and Wang, Jindong and Tan, Xu and Qin, Tao and Shinozaki, Takahiro},
  booktitle = {Interspeech},
  year = {2021},
  bibtex_show = {true},
  abbr = {IS},
  corr = {true},
  pdf = {a25_interspeech21.pdf},
  arxiv = {https://arxiv.org/abs/2104.07491},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/ASR/CMatch}
}
```
Generalizing to Unseen Domains: A Survey on Domain Generalization

Jindong Wang , Cuiling Lan, Chang Liu, Yidong Ouyang, Wenjun Zeng, and Tao Qin

International Joint Conference on Artificial Intelligence (IJCAI) 2021 | [ arXiv PDF Code Slides ]
```
@inproceedings{wang2021generalizing,
  title = {Generalizing to Unseen Domains: A Survey on Domain Generalization},
  author = {Wang, Jindong and Lan, Cuiling and Liu, Chang and Ouyang, Yidong and Zeng, Wenjun and Qin, Tao},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  year = {2021},
  bibtex_show = {true},
  abbr = {IJCAI},
  arxiv = {https://arxiv.org/abs/2103.03097},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/DeepDG},
  slides = {DGSurvey-ppt.pdf},
  pdf = {DG_survey_TKDE22.pdf}
}
```
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition

Linghui Meng, Jin Xu, Xu Tan, Jindong Wang , Tao Qin, and Bo Xu

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021 | [ arXiv ]
```
@inproceedings{meng2021mixspeech,
  title = {MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition},
  author = {Meng, Linghui and Xu, Jin and Tan, Xu and Wang, Jindong and Qin, Tao and Xu, Bo},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages = {7008--7012},
  year = {2021},
  organization = {IEEE},
  abbr = {ICASSP},
  bibtex_show = {true},
  arxiv = {https://arxiv.org/pdf/2102.12664}
}
```

2020

Deep subdomain adaptation network for image classification

Yongchun Zhu, Fuzhen Zhuang, Jindong Wang , Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, and Qing He

IEEE transactions on neural networks and learning systems 2020 | [ HTML PDF Code ]
```
@article{zhu2020deep,
  title = {Deep subdomain adaptation network for image classification},
  author = {Zhu, Yongchun and Zhuang, Fuzhen and Wang, Jindong and Ke, Guolin and Chen, Jingwu and Bian, Jiang and Xiong, Hui and He, Qing},
  journal = {IEEE transactions on neural networks and learning systems},
  volume = {32},
  number = {4},
  pages = {1713--1722},
  year = {2020},
  publisher = {IEEE},
  bibtex_show = {true},
  pdf = {a24tnnls20.pdf},
  html = {https://ieeexplore.ieee.org/document/9085896},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/DeepDA},
  abbr = {TNNLS}
}
```
Fedhealth: A federated transfer learning framework for wearable healthcare

Yiqiang Chen, Xin Qin, Jindong Wang , Chaohui Yu, and Wen Gao

IEEE Intelligent Systems 2020 | [ HTML PDF ]
```
@article{chen2020fedhealth,
  title = {Fedhealth: A federated transfer learning framework for wearable healthcare},
  author = {Chen, Yiqiang and Qin, Xin and Wang, Jindong and Yu, Chaohui and Gao, Wen},
  journal = {IEEE Intelligent Systems},
  volume = {35},
  number = {4},
  pages = {83--93},
  year = {2020},
  publisher = {IEEE},
  pdf = {a21_intesys20.pdf},
  html = {https://ieeexplore.ieee.org/document/9076082},
  bibtex_show = {true}
}
```
Transfer learning with dynamic distribution adaptation

Jindong Wang , Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, and Qiang Yang

ACM Transactions on Intelligent Systems and Technology (TIST) 2020 | [ HTML PDF Code ]
```
@article{wang2020transfer,
  title = {Transfer learning with dynamic distribution adaptation},
  author = {Wang, Jindong and Chen, Yiqiang and Feng, Wenjie and Yu, Han and Huang, Meiyu and Yang, Qiang},
  journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
  volume = {11},
  number = {1},
  pages = {1--25},
  year = {2020},
  publisher = {ACM New York, NY, USA},
  pdf = {a17_tist19.pdf},
  html = {https://dl.acm.org/doi/abs/10.1145/3360309},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/deep/DeepMEDA},
  bibtex_show = {true},
  abbr = {TIST}
}
```
Joint Partial Optimal Transport for Open Set Domain Adaptation.

Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang , Shuoying Liang, Heting Ying, and Jianwei Yin

International Joint Conference on Artificial Intelligence (IJCAI) 2020 | [ HTML PDF ]
```
@inproceedings{xu2020joint,
  title = {Joint Partial Optimal Transport for Open Set Domain Adaptation.},
  author = {Xu, Renjun and Liu, Pelen and Zhang, Yin and Cai, Fang and Wang, Jindong and Liang, Shuoying and Ying, Heting and Yin, Jianwei},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  pages = {2540--2546},
  year = {2020},
  bibtex_show = {true},
  abbr = {IJCAI},
  html = {https://www.ijcai.org/Proceedings/2020/352},
  pdf = {a23_ijcai20.pdf}
}
```
Reliable weighted optimal transport for unsupervised domain adaptation

Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, and Jindong Wang#

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 | [ HTML PDF ]
```
@inproceedings{xu2020reliable,
  title = {Reliable weighted optimal transport for unsupervised domain adaptation},
  author = {Xu, Renjun and Liu, Pelen and Wang, Liyan and Chen, Chao and Wang, Jindong},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {4394--4403},
  year = {2020},
  abbr = {CVPR},
  bibtex_show = {true},
  html = {http://openaccess.thecvf.com/content_CVPR_2020/html/Xu_Reliable_Weighted_Optimal_Transport_for_Unsupervised_Domain_Adaptation_CVPR_2020_paper.html},
  pdf = {a22_cvpr20.pdf}
}
```

2019

Cross-dataset activity recognition via adaptive spatial-temporal transfer learning

Xin Qin, Yiqiang Chen, Jindong Wang , and Chaohui Yu

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2019 | [ HTML PDF ]
```
@article{qin2019cross,
  title = {Cross-dataset activity recognition via adaptive spatial-temporal transfer learning},
  author = {Qin, Xin and Chen, Yiqiang and Wang, Jindong and Yu, Chaohui},
  journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)},
  volume = {3},
  number = {4},
  pages = {1--25},
  year = {2019},
  publisher = {ACM New York, NY, USA},
  pdf = {a20_ubicomp20.pdf},
  html = {https://dl.acm.org/doi/abs/10.1145/3369818},
  bibtex_show = {true},
  abbr = {IMWUT}
}
```

Transfer channel pruning for compressing deep domain adaptation models

Chaohui Yu, Jindong Wang , Yiqiang Chen, and Xin Qin

International Journal of Machine Learning and Cybernetics (JMLC) 2019 | [ HTML PDF Code ]

@article{yu2019transfer,
  title = {Transfer channel pruning for compressing deep domain adaptation models},
  author = {Yu, Chaohui and Wang, Jindong and Chen, Yiqiang and Qin, Xin},
  journal = {International Journal of Machine Learning and Cybernetics (JMLC)},
  volume = {10},
  number = {11},
  pages = {3129--3144},
  year = {2019},
  publisher = {Springer},
  html = {http://link.springer.com/article/10.1007/s13042-019-01004-6},
  pdf = {a18_ijmlc19.pdf},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/deep/TCP},
  bibtex_show = {true},
  abbr = {JMLC}
}

Multi-representation adaptation network for cross-domain image classification

Yongchun Zhu, Fuzhen Zhuang, Jindong Wang , Jingwu Chen, Zhiping Shi, Wenjuan Wu, and Qing He

Neural Networks 2019 | [ HTML PDF Code ]
```
@article{zhu2019multi,
  title = {Multi-representation adaptation network for cross-domain image classification},
  author = {Zhu, Yongchun and Zhuang, Fuzhen and Wang, Jindong and Chen, Jingwu and Shi, Zhiping and Wu, Wenjuan and He, Qing},
  journal = {Neural Networks},
  volume = {119},
  pages = {214--221},
  year = {2019},
  publisher = {Elsevier},
  html = {https://doi.org/10.1016/j.neunet.2019.07.010},
  pdf = {a19_neunet19.pdf},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/deep/MRAN},
  bibtex_show = {true},
  abbr = {NeuNet}
}
```
Cross-position activity recognition with stratified transfer learning

Yiqiang Chen, Jindong Wang , Meiyu Huang, and Han Yu

Pervasive and Mobile Computing 2019 | [ HTML PDF ]
```
@article{chen2019cross,
  title = {Cross-position activity recognition with stratified transfer learning},
  author = {Chen, Yiqiang and Wang, Jindong and Huang, Meiyu and Yu, Han},
  journal = {Pervasive and Mobile Computing},
  volume = {57},
  pages = {1--13},
  year = {2019},
  publisher = {Elsevier},
  html = {https://doi.org/10.1016/j.pmcj.2019.04.004},
  pdf = {a14_pmc19.pdf},
  bibtex_show = {true},
  abbr = {PMC}
}
```
Deep learning for sensor-based activity recognition: A survey

Jindong Wang , Yiqiang Chen, Shuji Hao, Xiaohui Peng, and Lisha Hu

Pattern Recognition Letters 2019 | [ HTML PDF ]
```
@article{wang2019deep,
  title = {Deep learning for sensor-based activity recognition: A survey},
  author = {Wang, Jindong and Chen, Yiqiang and Hao, Shuji and Peng, Xiaohui and Hu, Lisha},
  journal = {Pattern Recognition Letters},
  volume = {119},
  pages = {3--11},
  year = {2019},
  publisher = {Elsevier},
  html = {https://www.sciencedirect.com/science/article/pii/S016786551830045X},
  pdf = {a10_prl18.pdf},
  bibtex_show = {true},
  abbr = {PRL}
}
```
Transfer learning with dynamic adversarial adaptation network

Chaohui Yu, Jindong Wang , Yiqiang Chen, and Meiyu Huang

2019 IEEE International Conference on Data Mining (ICDM) 2019 | [ PDF Code ]
```
@inproceedings{yu2019transfes,
  title = {Transfer learning with dynamic adversarial adaptation network},
  author = {Yu, Chaohui and Wang, Jindong and Chen, Yiqiang and Huang, Meiyu},
  booktitle = {2019 IEEE International Conference on Data Mining (ICDM)},
  pages = {778--786},
  year = {2019},
  organization = {IEEE},
  bibtex_show = {true},
  abbr = {ICDM},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/deep/DAAN},
  pdf = {a16_icdm19.pdf}
}
```
DrowsyDet: A Mobile Application for Real-time Driver Drowsiness Detection

Chaohui Yu, Xin Qin, Yiqiang Chen, Jindong Wang , and Chenchen Fan

Ubiquitous Intelligence Computing 2019 | [ ]
```
@inproceedings{yu2019drowsydet,
  title = {DrowsyDet: A Mobile Application for Real-time Driver Drowsiness Detection},
  author = {Yu, Chaohui and Qin, Xin and Chen, Yiqiang and Wang, Jindong and Fan, Chenchen},
  booktitle = {Ubiquitous Intelligence Computing},
  pages = {425--432},
  year = {2019},
  organization = {IEEE},
  bibtex_show = {true},
  abbr = {UIC}
}
```
Easy transfer learning by exploiting intra-domain structures

Jindong Wang , Yiqiang Chen, Han Yu, Meiyu Huang, and Qiang Yang

2019 IEEE International Conference on Multimedia and Expo (ICME) 2019 | [ PDF Code ]
```
@inproceedings{wang2019easy,
  title = {Easy transfer learning by exploiting intra-domain structures},
  author = {Wang, Jindong and Chen, Yiqiang and Yu, Han and Huang, Meiyu and Yang, Qiang},
  booktitle = {2019 IEEE International Conference on Multimedia and Expo (ICME)},
  pages = {1210--1215},
  year = {2019},
  organization = {IEEE},
  bibtex_show = {true},
  abbr = {ICME},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/traditional/EasyTL},
  pdf = {a13_icme19.pdf}
}
```

Accelerating deep unsupervised domain adaptation with transfer channel pruning

Chaohui Yu, Jindong Wang , Yiqiang Chen, and Zijing Wu

2019 International Joint Conference on Neural Networks (IJCNN) 2019 | [ arXiv PDF Code ]

@inproceedings{yu2019accelerating,
  title = {Accelerating deep unsupervised domain adaptation with transfer channel pruning},
  author = {Yu, Chaohui and Wang, Jindong and Chen, Yiqiang and Wu, Zijing},
  booktitle = {2019 International Joint Conference on Neural Networks (IJCNN)},
  pages = {1--8},
  year = {2019},
  organization = {IEEE},
  bibtex_show = {true},
  abbr = {IJCNN},
  arxiv = {https://arxiv.org/pdf/1904.02654.pdf},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/deep/TCP},
  pdf = {ijcnn19-tcp.pdf}
}

2018

OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition

Lisha Hu, Yiqiang Chen, Jindong Wang , Chunyu Hu, and Xinlong Jiang

International Journal of Machine Learning and Cybernetics (JMLC) 2018 | [ HTML PDF ]
```
@article{hu2018okrelm,
  title = {OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition},
  author = {Hu, Lisha and Chen, Yiqiang and Wang, Jindong and Hu, Chunyu and Jiang, Xinlong},
  journal = {International Journal of Machine Learning and Cybernetics (JMLC)},
  volume = {9},
  number = {9},
  pages = {1577--1590},
  year = {2018},
  publisher = {Springer},
  html = {https://link.springer.com/article/10.1007/s13042-017-0666-8?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst#enumeration},
  pdf = {a06_ijmlc.pdf},
  bibtex_show = {true},
  abbr = {JMLC}
}
```
Visual domain adaptation with manifold embedded distribution alignment

Jindong Wang , Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, and Philip S Yu

The 26th ACM international conference on Multimedia 2018 | [ PDF Supp Code Poster ]

(400+ citations; 2nd most cited paper in MM’18)
```
@inproceedings{wang2018visual,
  title = {Visual domain adaptation with manifold embedded distribution alignment},
  author = {Wang, Jindong and Feng, Wenjie and Chen, Yiqiang and Yu, Han and Huang, Meiyu and Yu, Philip S},
  booktitle = {The 26th ACM international conference on Multimedia},
  pages = {402--410},
  year = {2018},
  bibtex_show = {true},
  abbr = {ACMMM},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/traditional/MEDA},
  pdf = {a11_mm18.pdf},
  supp = {https://www.jianguoyun.com/p/DRuWOFkQjKnsBRjkr2E},
  poster = {poster_mm18.pdf},
  selected = {true},
  special = {400+ citations; 2nd most cited paper in MM'18}
}
```
Deep transfer learning for cross-domain activity recognition

Jindong Wang , Vincent W Zheng, Yiqiang Chen, and Meiyu Huang

proceedings of the 3rd International Conference on Crowd Science and Engineering 2018 | [ HTML PDF ]
```
@inproceedings{wang2018deep,
  title = {Deep transfer learning for cross-domain activity recognition},
  author = {Wang, Jindong and Zheng, Vincent W and Chen, Yiqiang and Huang, Meiyu},
  booktitle = {proceedings of the 3rd International Conference on Crowd Science and Engineering},
  pages = {1--8},
  year = {2018},
  bibtex_show = {true},
  abbr = {ICCSE},
  pdf = {a12_iccse18.pdf},
  html = {https://dl.acm.org/citation.cfm?id=3265705}
}
```
Stratified transfer learning for cross-domain activity recognition

Jindong Wang , Yiqiang Chen, Lisha Hu, Xiaohui Peng, and S Yu Philip

IEEE international conference on pervasive computing and communications (PerCom) 2018 | [ PDF Code ]
```
@inproceedings{wang2018stratified,
  title = {Stratified transfer learning for cross-domain activity recognition},
  author = {Wang, Jindong and Chen, Yiqiang and Hu, Lisha and Peng, Xiaohui and Philip, S Yu},
  booktitle = {IEEE international conference on pervasive computing and communications (PerCom)},
  pages = {1--10},
  year = {2018},
  organization = {IEEE},
  bibtex_show = {true},
  abbr = {PerCom},
  code = {https://github.com/jindongwang/activityrecognition/tree/master/code/percom18_stl},
  pdf = {a09_percom18.pdf}
}
```

2017

Balanced distribution adaptation for transfer learning

Jindong Wang , Yiqiang Chen, Shuji Hao, Wenjie Feng, and Zhiqi Shen

IEEE international conference on data mining (ICDM) 2017 | [ HTML PDF Code ]

(400+ citations; most cited paper in ICDM’17)
```
@inproceedings{wang2017balanced,
  title = {Balanced distribution adaptation for transfer learning},
  author = {Wang, Jindong and Chen, Yiqiang and Hao, Shuji and Feng, Wenjie and Shen, Zhiqi},
  booktitle = {IEEE international conference on data mining (ICDM)},
  pages = {1129--1134},
  year = {2017},
  organization = {IEEE},
  bibtex_show = {true},
  abbr = {ICDM},
  code = {https://github.com/jindongwang/transferlearning/tree/master/code/BDA},
  pdf = {a08_icdm17.pdf},
  html = {http://ieeexplore.ieee.org/document/8215613/?part=1},
  selected = {true},
  special = {400+ citations; most cited paper in ICDM'17}
}
```

2016

Ocean: A new opportunistic computing model for wearable activity recognition

Yiqiang Chen, Yang Gu, Xinlong Jiang, and Jindong Wang#

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct 2016 | [ HTML PDF ]
```
@inproceedings{chen2016ocean,
  title = {Ocean: A new opportunistic computing model for wearable activity recognition},
  author = {Chen, Yiqiang and Gu, Yang and Jiang, Xinlong and Wang, Jindong},
  booktitle = {Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct},
  pages = {33--36},
  year = {2016},
  bibtex_show = {true},
  abbr = {UbiComp},
  pdf = {a04_ubicomp16.pdf},
  html = {http://dl.acm.org/citation.cfm?id=2971453}
}
```
Less annotation on personalized activity recognition using context data

Lisha Hu, Yiqiang Chen, Shuangquan Wang, Jindong Wang , Jianfei Shen, Xinlong Jiang, and Zhiqi Shen

2016 Intl IEEE Conferences on Ubiquitous Intelligence Computing (UIC) 2016 | [ HTML PDF ]
```
@inproceedings{hu2016less,
  title = {Less annotation on personalized activity recognition using context data},
  author = {Hu, Lisha and Chen, Yiqiang and Wang, Shuangquan and Wang, Jindong and Shen, Jianfei and Jiang, Xinlong and Shen, Zhiqi},
  booktitle = {2016 Intl IEEE Conferences on Ubiquitous Intelligence Computing (UIC)},
  pages = {327--332},
  year = {2016},
  organization = {IEEE},
  bibtex_show = {true},
  abbr = {UIC},
  pdf = {a02_uic16.pdf},
  html = {http://ieeexplore.ieee.org/abstract/document/7816862/}
}
```