Jindong Wang | Publications

Introduction to Transfer Learning

Jindong Wang , and Yiqiang Chen

2021

HTML Zhihu

2022

ICASSP

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

Bib 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}
}

ICSE
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

Bib 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/ReMoS_artifact}, zhihu = {https://zhuanlan.zhihu.com/p/446453487}, video = {https://www.bilibili.com/video/BV1mi4y1C7bP}, selected = {true} }

2021

NeurIPS
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 Bib 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} }
NeurIPS
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 Bib 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} }
CIKM
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 Bib 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} }
Interspeech
Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching

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

Interspeech 2021

arXiv Bib 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 = {Interspeech}, corr = {true}, pdf = {a25_interspeech21.pdf}, arxiv = {https://arxiv.org/abs/2104.07491}, code = {https://github.com/jindongwang/transferlearning/tree/master/code/ASR/CMatch} }
IJCAI
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 Bib 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} }
ICASSP
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 Bib
@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

IJCAI
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

Bib 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} }
CVPR
Reliable weighted optimal transport for unsupervised domain adaptation

Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, andJindong Wang#

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Bib 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

UbiComp
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 2019

Bib 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}, volume = {3}, number = {4}, pages = {1--25}, year = {2019}, publisher = {ACM New York, NY, USA}, bibtex_show = {true}, abbr = {UbiComp}, html = {https://dl.acm.org/doi/abs/10.1145/3369818}, pdf = {a20_ubicomp20.pdf} }
ICDM
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

Bib PDF Code
@inproceedings{yu2019transfer, 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} }
UIC
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

Bib
@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} }
ICME
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

Bib 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} }

IJCNN

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 Bib 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

ACMMM
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 (300+ citations; 2nd most cited paper in MM’18)

Bib PDF Supp Code Poster
@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 = {300+ citations; 2nd most cited paper in MM'18} }
ICCSE
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

Bib 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} }
PerCom
Stratified transfer learning for cross-domain activity recognition

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

2018 IEEE international conference on pervasive computing and communications (PerCom) 2018

Bib 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 = {2018 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

ICDM
Balanced distribution adaptation for transfer learning

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

2017 IEEE international conference on data mining (ICDM) 2017 (300+ citations; most cited paper in ICDM’17)

Bib HTML PDF Code
@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 = {2017 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 = {300+ citations; most cited paper in ICDM'17} }

2016

UbiComp
Ocean: A new opportunistic computing model for wearable activity recognition

Yiqiang Chen, Yang Gu, Xinlong Jiang, andJindong Wang#

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct 2016

Bib 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} }
UIC
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

Bib 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/} }

2022

TKDE
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 Bib Code Slides
@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 = {DGSurvey-ppt.pdf} }
TBD
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 Bib PDF
@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} }
IMWUT
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 2022

Bib
@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}, year = {2022}, abbr = {IMWUT}, bibtex_show = {true}, corr = {true}, selected = {true} }
TKDE
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 Bib PDF
@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} }
TASLP
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 Bib 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} }

2021

TKDE
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 Bib 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} }

NeuCom

Cross-domain activity recognition via substructural optimal transport

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

Neurocomputing 2021

arXiv Bib 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}
}

2020

TNNLS
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

Bib 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

Bib 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} }
TIST
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

Bib 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} }

2019

UbiComp
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 2019

Bib 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}, 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 = {UbiComp} }

IJMLC

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 2019

Bib 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},
  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 = {IJMLC}
}

NeuNet
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

Bib 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} }
PMC
Cross-position activity recognition with stratified transfer learning

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

Pervasive and Mobile Computing 2019

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@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} }
PRL
Deep learning for sensor-based activity recognition: A survey

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

Pattern Recognition Letters 2019

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@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} }

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 2018

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@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}, 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} }

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