(* Corresponding Author)
Mingsheng Long. Transfer Learning: Problems and Methods. 1-127, 2014 [PDF] (In Chinese)
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long* [arXiv 2021]
Self-Tuning for Data-Efficient Deep Learning
Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long* [arXiv 2021]
Cycle Self-Training for Domain Adaptation
Hong Liu, Jianmin Wang, Mingsheng Long* [arXiv 2021]
On Localized Discrepancy for Domain Adaptation
Yuchen Zhang, Mingsheng Long*, Jianmin Wang, Michael I. Jordan [arXiv 2020]
Bi-tuning of Pre-trained Representations
Jincheng Zhong, Ximei Wang, Zhi Kou, Jianmin Wang, Mingsheng Long* [arXiv 2020]
Adversarial Pyramid Network for Video Domain Generalization
Zhiyu Yao, Yunbo Wang, Xingqiang Du, Mingsheng Long*, Jianmin Wang [arXiv 2020]
Transferable Representation Learning with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(12):3071-3085, 2019 [Link]
Deep Learning of Transferable Representation for Scalable Domain Adaptation
Mingsheng Long, Jianmin Wang, Yue Cao, Jiaguang Sun, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(8):2027-2040, 2016
[Link] [Code]
Domain Invariant Transfer Kernel Learning
Mingsheng Long, Jianmin Wang, Jiaguang Sun, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(6):1519-1532, 2015
[Link] [Code]
Transfer Learning with Graph Co-Regularization
Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(7):1805-1818, 2014
[Link] [Code]
Adaptation Regularization: A General Framework for Transfer Learning
Mingsheng Long, Jianmin Wang, Guiguang Ding, Sinno Jialin Pan, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(5):1076-1089, 2014
[Link] [Code]
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF] [Appendix]
Regressive Domain Adaptation for Unsupervised Keypoint Detection
Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF] [Code]
Transferable Query Selection for Active Domain Adaptation
Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF] [Appendix] [Code]
Open Domain Generalization with Domain-Augmented Meta-Learning
Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF] [Appendix]
MetaSets: Meta-Learning on Point Sets for Generalizable Representations
Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF] [Appendix] [Code]
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Ximei Wang, Mingsheng Long*, Jianmin Wang, Michael I. Jordan
Neural Information Processing Systems (NeurIPS), 2020 [PDF] [Appendix] [Code]
Co-Tuning for Transfer Learning
Kaichao You, Zhi Kou, Mingsheng Long*, Jianmin Wang
Neural Information Processing Systems (NeurIPS), 2020 [PDF] [Code]
Stochastic Normalization
Zhi Kou, Kaichao You, Mingsheng Long*, Jianmin Wang
Neural Information Processing Systems (NeurIPS), 2020 [PDF] [Code]
Learning to Adapt to Evolving Domains
Hong Liu, Mingsheng Long*, Jianmin Wang, Yu Wang
Neural Information Processing Systems (NeurIPS), 2020 [PDF]
Resource Efficient Domain Adaptation
Junguang Jiang, Ximei Wang, Mingsheng Long*, Jianmin Wang
ACM International Conference on Multimedia (ACMMM), 2020 [PDF] [Code]
Minimum Class Confusion for Versatile Domain Adaptation
Ying Jin, Ximei Wang, Mingsheng Long*, Jianmin Wang
European Conference on Computer Vision (ECCV), 2020 [PDF] [Code]
Learning to Detect Open Classes for Universal Domain Adaptation
Bo Fu, Zhangjie Cao, Mingsheng Long*, Jianmin Wang
European Conference on Computer Vision (ECCV), 2020 [PDF] [Code]
Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
European Conference on Computer Vision (ECCV), 2020 [PDF] [Code]
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Zhiyu Yao, Yunbo Wang, Mingsheng Long*, Jianmin Wang
International Conference on Machine Learning (ICML), 2020 [PDF] [Code]
Probabilistic Video Prediction from Noisy Data with a Posterior Confidence
Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua Tenenbaum
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 [PDF] [Code]
Progressive Adversarial Networks for Fine-Grained Domain Adaptation
Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long*, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 [PDF] [Code]
Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification
Liang Li, Weirui Ye, Mingsheng Long*, Yateng Tang, Jin Xu, Jianmin Wang
AAAI Conference on Artificial Intelligence (AAAI), 2020 [PDF]
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long*, Jianmin Wang
Neural Information Processing Systems (NeurIPS), 2019 [PDF] [Code]
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
Ximei Wang, Ying Jin, Mingsheng Long*, Jianmin Wang, Michael I. Jordan
Neural Information Processing Systems (NeurIPS), 2019 [PDF] [Code]
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang, Tianle Liu, Mingsheng Long*, Michael I. Jordan
International Conference on Machine Learning (ICML), 2019 [PDF] [Appendix] [Code]
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
Kaichao You, Ximei Wang, Mingsheng Long*, Michael I. Jordan
International Conference on Machine Learning (ICML), 2019 [PDF] [Code]
Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers
Hong Liu, Mingsheng Long*, Jianmin Wang, Michael I. Jordan
International Conference on Machine Learning (ICML), 2019 [PDF] [Code]
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
Xinyang Chen, Sinan Wang, Mingsheng Long*, Jianmin Wang
International Conference on Machine Learning (ICML), 2019 [PDF] [Code]
Maximum-Margin Hamming Hashing
Rong Kang, Yue Cao, Mingsheng Long*, Jianmin Wang, Philip S. Yu
IEEE International Conference on Computer Vision (ICCV), 2019 [PDF] [Code]
Universal Domain Adaptation
Kaichao You, Mingsheng Long*, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [PDF] [Code]
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
Hong Liu, Zhangjie Cao, Mingsheng Long*, Jianmin Wang, Qiang Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [PDF] [Code]
Learning to Transfer Examples for Partial Domain Adaptation
Zhangjie Cao, Kaichao You, Mingsheng Long*, Jianmin Wang, Qiang Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [PDF] [Code]
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long*, Jianmin Wang, Philip S. Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [PDF] [Code]
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei
International Conference on Learning Representations (ICLR), 2019 [PDF] [Code]
Transferable Curriculum for Weakly-Supervised Domain Adaptation
Yang Shu, Zhangjie Cao, Mingsheng Long*, Jianmin Wang
AAAI Conference on Artificial Intelligence (AAAI), 2019 [PDF] [Code]
Transferable Attention for Domain Adaptation
Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long*, Jianmin Wang
AAAI Conference on Artificial Intelligence (AAAI), 2019 [PDF]
Conditional Adversarial Domain Adaptation
Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
Neural Information Processing Systems (NeurIPS), 2018 [PDF] [Poster] [Code] (500+ Citations)
PaperDigest Most Influential Papers
Generalized Zero-Shot Learning with Deep Calibration Network
Shichen Liu, Mingsheng Long*, Jianmin Wang, Michael I. Jordan
Neural Information Processing Systems (NeurIPS), 2018 [PDF] [Code]
Partial Adversarial Domain Adaptation
Zhangjie Cao, Lijia Ma, Mingsheng Long*, Jianmin Wang
European Conference on Computer Vision (ECCV), 2018 [PDF] [Code]
Cross-Modal Hamming Hashing
Yue Cao, Bin Liu, Mingsheng Long*, Jianmin Wang
European Conference on Computer Vision (ECCV), 2018 [PDF]
Deep Triplet Quantization
Bin Liu, Yue Cao, Mingsheng Long*, Jianmin Wang, Jingdong Wang
ACM International Conference on Multimedia (ACMMM), 2018 [PDF] [Code]
Deep Priority Hashing
Zhangjie Cao, Ziping Sun, Mingsheng Long*, Jianmin Wang, Philip S. Yu
ACM International Conference on Multimedia (ACMMM), 2018 [PDF] [Code]
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long*, Jianmin Wang, Philip S. Yu
International Conference on Machine Learning (ICML), 2018 [PDF] [Code]
PredCNN: Predictive Learning with Cascade Convolutions
Ziru Xu, Yunbo Wang, Mingsheng Long*, Jianmin Wang
International Joint Conference on Artificial Intelligence (IJCAI), 2018 [PDF] [Code]
Partial Transfer Learning with Selective Adversarial Networks
Zhangjie Cao, Mingsheng Long*, Jianmin Wang, Michael I. Jordan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF] [Slides] [Code]
HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
Yue Cao, Bin Liu, Mingsheng Long*, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF]
Deep Cauchy Hashing for Hamming Space Retrieval
Yue Cao, Mingsheng Long*, Bin Liu, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF] [Code]
Multi-Adversarial Domain Adaptation
Zhongyi Pei, Zhangjie Cao, Mingsheng Long*, Jianmin Wang
AAAI Conference on Artificial Intelligence (AAAI), 2018 [PDF] [Code]
Unsupervised Domain Adaptation with Distribution Matching Machines
Yue Cao, Mingsheng Long*, Jianmin Wang
AAAI Conference on Artificial Intelligence (AAAI), 2018 [PDF]
Transfer Adversarial Hashing for Hamming Space Retrieval
Zhangjie Cao, Mingsheng Long*, Chao Huang, Jianmin Wang
AAAI Conference on Artificial Intelligence (AAAI), 2018 [PDF] [Code]
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Yunbo Wang, Mingsheng Long*, Jianmin Wang, Zhifeng Gao, Philip S. Yu
Neural Information Processing Systems (NeurIPS), 2017 [PDF]
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu
Neural Information Processing Systems (NeurIPS), 2017 [PDF] [Poster] [Code]
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long*, Jianmin Wang, Philip S. Yu
IEEE International Conference on Computer Vision (ICCV), 2017 [PDF] [Code]
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan
International Conference on Machine Learning (ICML), 2017 [PDF] [Slides] [Poster] [Code] (800+ Citations)
Spatiotemporal Pyramid Network for Video Action Recognition
Yunbo Wang, Mingsheng Long*, Jianmin Wang, Philip S. Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 [PDF] [Slides] [Code]
Deep Visual-Semantic Quantization for Efficient Image Retrieval
Yue Cao, Mingsheng Long*, Jianmin Wang, Shichen Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 [PDF] [Code]
Transitive Hashing Network for Heterogeneous Multimedia Retrieval
Zhangjie Cao, Mingsheng Long*, Jianmin Wang, Qiang Yang
AAAI Conference on Artificial Intelligence (AAAI), 2017 [PDF]
Collective Deep Quantization for Efficient Cross-Modal Retrieval
Yue Cao, Mingsheng Long*, Jianmin Wang, Shichen Liu
AAAI Conference on Artificial Intelligence (AAAI), 2017 [PDF] [Code]
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan
Neural Information Processing Systems (NeurIPS), 2016 [PDF] [Poster] [Code] (700+ Citations)
Composite Correlation Quantization for Efficient Multimodal Retrieval
Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016 [PDF] [Slides] [Code]
Deep Quantization Network for Efficient Image Retrieval
Yue Cao, Mingsheng Long*, Jianmin Wang, Han Zhu, Qingfu Wen
AAAI Conference on Artificial Intelligence (AAAI), 2016
[PDF] [Slides] [Code]
Deep Hashing Network for Efficient Similarity Retrieval
Han Zhu, Mingsheng Long*, Jianmin Wang, Yue Cao
AAAI Conference on Artificial Intelligence (AAAI), 2016
[PDF] [Code]
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan
International Conference on Machine Learning (ICML), 2015
[PDF] [Slides] [Poster] [Code] (2000+ Citations)
PaperDigest Most Influential Papers
Transfer Joint Matching for Unsupervised Domain Adaptation
Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
[PDF] [Code]
Transfer Feature Learning with Joint Distribution Adaptation
Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu
IEEE International Conference on Computer Vision (ICCV), 2013
[PDF] [Code] (800+ Citations)
Transfer Sparse Coding for Robust Image Representation
Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Philip S. Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
[PDF] [Code]
Transfer Learning with Graph Co-Regularization
Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang
AAAI Conference on Artificial Intelligence (AAAI), 2012
[PDF] [Code]
Dual Transfer Learning
Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang
SIAM International Conference on Data Mining (SDM), 2012
[PDF]
Best Paper Nominee