Publications

[Google scholar] [DBLP]

Preprints

  • 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]
  • Out-of-distribution Representation Learning for Time Series Classification. Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, and Xing Xie. [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]
  • FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Zhen Wu, Jindong Wang, and Bernt Schiele. [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

    1. Introduction to Transfer Learning
      Jindong Wang , and Yiqiang Chen
      2021

              Papers

              2022

              1. 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
              2. 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
              3. 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
              4. 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
              5. 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
              6. 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
              7. 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
              8. Decoupled Federated Learning for ASR with Non-IID Data
                Han Zhu, Jindong Wang , Gaofeng Cheng, Pengyuan Zhang, and Yonghong Yan
                Interspeech 2022
              9. 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
              10. 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
              11. 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) 2022
              12. 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
              13. 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
              14. 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 (Innovation Award)
              15. 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
              16. 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

              2021

              1. 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
              2. Cross-domain activity recognition via substructural optimal transport
                Wang Lu, Yiqiang Chen, Jindong Wang , and Xin Qin
                Neurocomputing 2021
              3. 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
              4. 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
              5. 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
              6. Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching
                Wenxin Hou, Jindong Wang# , Xu Tan, Tao Qin, and Takahiro Shinozaki
                Interspeech 2021
              7. 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
              8. 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

              2020

              1. 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
              2. Fedhealth: A federated transfer learning framework for wearable healthcare
                Yiqiang Chen, Xin Qin, Jindong Wang , Chaohui Yu, and Wen Gao
                IEEE Intelligent Systems 2020
              3. 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
              4. 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
              5. 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

              2019

              1. 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
              2. 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
              3. 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
              4. Cross-position activity recognition with stratified transfer learning
                Yiqiang Chen, Jindong Wang , Meiyu Huang, and Han Yu
                Pervasive and Mobile Computing 2019
              5. Deep learning for sensor-based activity recognition: A survey
                Jindong Wang , Yiqiang Chen, Shuji Hao, Xiaohui Peng, and Lisha Hu
                Pattern Recognition Letters 2019
              6. 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
              7. 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
              8. 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
              9. 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

              2018

              1. 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
              2. 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)
              3. 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
              4. 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

              2017

              1. 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)

              2016

              1. 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
              2. 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
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