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

      1. Introduction to Transfer Learning
        Jindong Wang , and Yiqiang Chen
        2021 | [ HTML Zhihu ]

                Papers

                2023
                1. 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 ]
                2. 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 ]
                3. 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
                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 | [ arXiv Blog Code Zhihu ]
                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 | [ arXiv Code Zhihu ]
                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 | [ arXiv PDF Code ]
                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 | [ arXiv PDF Code Slides Website ]
                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 | [ arXiv PDF Website ]
                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 | [ arXiv PDF ]
                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 | [ arXiv PDF ]
                8. Decoupled Federated Learning for ASR with Non-IID Data
                  Han Zhu, Jindong Wang , Gaofeng Cheng, Pengyuan Zhang, and Yonghong Yan
                  Interspeech 2022 | [ arXiv PDF ]
                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 | [ arXiv PDF ]
                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 | [ arXiv HTML PDF Code ]
                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, i.e., UbiComp) 2022 | [ arXiv PDF ]
                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 | [ arXiv PDF Code ]
                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 | [ arXiv Code ]
                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 | [ arXiv Code ]
                  (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 | [ HTML ]
                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 | [ PDF Code Video Zhihu ]
                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 | [ arXiv PDF Zhihu ]
                2. Cross-domain activity recognition via substructural optimal transport
                  Wang Lu, Yiqiang Chen, Jindong Wang , and Xin Qin
                  Neurocomputing 2021 | [ arXiv HTML PDF Code Zhihu ]
                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 | [ arXiv PDF Code Slides Video Zhihu ]
                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 | [ arXiv PDF Code ]
                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 | [ arXiv PDF Code ]
                6. 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 ]
                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 | [ arXiv PDF Code Slides ]
                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 | [ arXiv ]
                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 | [ HTML PDF Code ]
                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 | [ HTML PDF ]
                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 | [ HTML PDF Code ]
                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 | [ HTML PDF ]
                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 | [ HTML PDF ]
                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 | [ HTML PDF ]
                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 | [ HTML PDF Code ]
                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 | [ HTML PDF Code ]
                4. Cross-position activity recognition with stratified transfer learning
                  Yiqiang Chen, Jindong Wang , Meiyu Huang, and Han Yu
                  Pervasive and Mobile Computing 2019 | [ HTML PDF ]
                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 | [ HTML PDF ]
                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 | [ PDF Code ]
                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 | [ PDF Code ]
                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 | [ arXiv PDF Code ]
                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 | [ HTML PDF ]
                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 | [ PDF Supp Code Poster ]
                  (400+ 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 | [ HTML PDF ]
                4. 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 ]
                2017
                1. 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)
                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 | [ HTML PDF ]
                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 | [ HTML PDF ]
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