Mingsheng Long

发表

Dual Transfer Learning

Jianmin Wang, Wei Cheng, Mingsheng Long, 2012, SDM.

WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection pdf

Philip S. Yu, Chen Wang, Mingsheng Long, 2019, ArXiv.

Maximum-Margin Hamming Hashing

Philip S. Yu, Mingsheng Long, Jianmin Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

How Does Learning Rate Decay Help Modern Neural Networks

Michael I. Jordan, Mingsheng Long, Kaichao You, 2019 .

Bridging Theory and Algorithm for Domain Adaptation

Yuchen Zhang, Michael I. Jordan, Mingsheng Long, 2019, ICML.

Bi-tuning of Pre-trained Representations pdf

Mingsheng Long, Jianmin Wang, Jincheng Zhong, 2020, ArXiv.

Unsupervised Domain Adaptation With Distribution Matching Machines

Jianmin Wang, Yue Cao, Mingsheng Long, 2018, AAAI.

Transfer Learning with Graph Co-Regularization

Jianmin Wang, Qiang Yang, Mingsheng Long, 2012, IEEE Transactions on Knowledge and Data Engineering.

Z-Order Recurrent Neural Networks for Video Prediction

Philip S. Yu, Yunbo Wang, Mingsheng Long, 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).

Adaptation Regularization: A General Framework for Transfer Learning

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2014, IEEE Transactions on Knowledge and Data Engineering.

Learning Transferable Features with Deep Adaptation Networks pdf

Michael I. Jordan, Mingsheng Long, Yue Cao, 2015, ICML.

Transfer Feature Learning with Joint Distribution Adaptation

Philip S. Yu, Jianmin Wang, Jia-Guang Sun, 2013, 2013 IEEE International Conference on Computer Vision.

Learning to Transfer Examples for Partial Domain Adaptation

Jianmin Wang, Qiang Yang, Mingsheng Long, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

On Localized Discrepancy for Domain Adaptation pdf

Michael I. Jordan, Mingsheng Long, Yuchen Zhang, 2020, ArXiv.

Transferable Curriculum for Weakly-Supervised Domain Adaptation

Jianmin Wang, Mingsheng Long, Yang Shu, 2019, AAAI.

Domain Adaptation with Randomized Multilinear Adversarial Networks pdf

Michael I. Jordan, Mingsheng Long, Zhangjie Cao, 2017, ArXiv.

Unsupervised Domain Adaptation with Residual Transfer Networks

Michael I. Jordan, Mingsheng Long, Jianmin Wang, 2016, NIPS.

Multi-Task Learning of Generalizable Representations for Video Action Recognition

Yunbo Wang, Mingsheng Long, Jianmin Wang, 2020, 2020 IEEE International Conference on Multimedia and Expo (ICME).

Composite Correlation Quantization for Efficient Multimodal Retrieval

Philip S. Yu, Mingsheng Long, Yue Cao, 2015, SIGIR.

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation

Michael I. Jordan, Mingsheng Long, Kaichao You, 2019, ICML.

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Jianmin Wang, Bin Liu, Yue Cao, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Transferable Attention for Domain Adaptation

Jianmin Wang, Liang Li, Mingsheng Long, 2019, AAAI.

Negative Margin Matters: Understanding Margin in Few-shot Classification

Zheng Zhang, Qi Li, Mingsheng Long, 2020, ECCV.

Transferable Representation Learning with Deep Adaptation Networks

Yue Cao, Michael I. Jordan, Mingsheng Long, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Minimum Class Confusion for Versatile Domain Adaptation

Mingsheng Long, Jianmin Wang, Ximei Wang, 2019, ECCV.

Deep Transfer Learning with Joint Adaptation Networks

Michael I. Jordan, Mingsheng Long, Jianmin Wang, 2016, ICML.

Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification

Mingsheng Long, Jin Xu, Jianmin Wang, 2020, AAAI.

Towards Understanding the Transferability of Deep Representations pdf

Michael I. Jordan, Hong Liu, Mingsheng Long, 2019, ArXiv.

Transfer Joint Matching for Unsupervised Domain Adaptation

Philip S. Yu, Jianmin Wang, Jia-Guang Sun, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Deep Visual-Semantic Quantization for Efficient Image Retrieval

Jianmin Wang, Yue Cao, Mingsheng Long, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation

Jianmin Wang, Mingsheng Long, Xinyang Chen, 2019, ICML.

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning pdf

Philip S. Yu, Jianmin Wang, Zhifeng Gao, 2018, ICML.

Progressive Adversarial Networks for Fine-Grained Domain Adaptation

Yunbo Wang, Mingsheng Long, Jianmin Wang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Visual-Semantic Hashing for Cross-Modal Retrieval

Philip S. Yu, Mingsheng Long, Qiang Yang, 2016, KDD.

Learning to Adapt to Evolving Domains

Yu Wang, Hong Liu, Mingsheng Long, 2020, NeurIPS.

Spatiotemporal Pyramid Network for Video Action Recognition

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Inherent Replica Inconsistency in Cassandra

Jianmin Wang, Jian Bai, Mingsheng Long, 2014, 2014 IEEE International Congress on Big Data.

Deep Quantization Network for Efficient Image Retrieval

Jianmin Wang, Yue Cao, Mingsheng Long, 2016, AAAI.

Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers

Michael I. Jordan, Hong Liu, Mingsheng Long, 2019, ICML.

Deep Triplet Quantization

Bin Liu, Yue Cao, Jingdong Wang, 2018, ACM Multimedia.

Local Hybrid Coding for Image Classification

Jianmin Wang, Mingsheng Long, Wu Xiang, 2014, 2014 22nd International Conference on Pattern Recognition.

Multi-Adversarial Domain Adaptation pdf

Jianmin Wang, Mingsheng Long, Zhangjie Cao, 2018, AAAI.

Deep Hashing Network for Efficient Similarity Retrieval

Jianmin Wang, Yue Cao, Mingsheng Long, 2016, AAAI.

Cross-Modal Hamming Hashing

Bin Liu, Yue Cao, Mingsheng Long, 2018, ECCV.

Adversarial Pyramid Network for Video Domain Generalization pdf

Yunbo Wang, Mingsheng Long, Jianmin Wang, 2019, ArXiv.

Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation pdf

Mingsheng Long, Ximei Wang, Jianmin Wang, 2019, ArXiv.

Compositional Correlation Quantization for Large-Scale Multimodal Search pdf

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2015, ArXiv.

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation

Xiangyu Zhang, Mingsheng Long, Chao Chen, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Multiple Tasks with Multilinear Relationship Networks

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2015, NIPS.

Transferring Pretrained Networks to Small Data via Category Decorrelation

Mingsheng Long, Zhangjie Cao, Jianmin Wang, 2020, BMVC.

Deep Learning of Transferable Representation for Scalable Domain Adaptation

Philip S. Yu, Jianmin Wang, Yue Cao, 2016, IEEE Transactions on Knowledge and Data Engineering.

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation

Hong Liu, Qiang Yang, Mingsheng Long, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Detect Open Classes for Universal Domain Adaptation

Mingsheng Long, Jianmin Wang, Bo Fu, 2020, ECCV.

Co-Tuning for Transfer Learning

Mingsheng Long, Kaichao You, Zhi Kou, 2020, NeurIPS.

Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications pdf

Michael I. Jordan, Mingsheng Long, Kaichao You, 2019, ArXiv.

Generalized Zero-Shot Learning with Deep Calibration Network

Michael I. Jordan, Mingsheng Long, Jianmin Wang, 2018, NeurIPS.

Universal Domain Adaptation

Michael I. Jordan, Mingsheng Long, Jianmin Wang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Multiple Tasks with Deep Relationship Networks pdf

Jianmin Wang, Mingsheng Long, Mingsheng Long, 2015, ArXiv.

Domain Invariant Transfer Kernel Learning

Philip S. Yu, Jianmin Wang, Jia-Guang Sun, 2015, IEEE Transactions on Knowledge and Data Engineering.

Transfer Learning via Cluster Correspondence Inference

Jianmin Wang, Wei Cheng, Mingsheng Long, 2010, 2010 IEEE International Conference on Data Mining.

Twin Bridge Transfer Learning for Sparse Collaborative Filtering

Jianmin Wang, Qiang Liu, Mingsheng Long, 2013, PAKDD.

Transferable Calibration with Lower Bias and Variance in Domain Adaptation pdf

Michael I. Jordan, Mingsheng Long, Jianmin Wang, 2020, NeurIPS.

Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HashNet: Deep Learning to Hash by Continuation

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Probabilistic Video Prediction From Noisy Data With a Posterior Confidence

Yunbo Wang, Jiajun Wu, Joshua B. Tenenbaum, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transitive Hashing Network for Heterogeneous Multimedia Retrieval

Mingsheng Long, Qiang Yang, Zhangjie Cao, 2017, AAAI.

Collective Deep Quantization for Efficient Cross-Modal Retrieval

Jianmin Wang, Yue Cao, Mingsheng Long, 2017, AAAI.

Resource Efficient Domain Adaptation

Mingsheng Long, Jianmin Wang, Ximei Wang, 2020, ACM Multimedia.

Eidetic 3D LSTM: A Model for Video Prediction and Beyond

Yunbo Wang, Li Fei-Fei, Mingsheng Long, 2019, ICLR.

WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection

Philip S. Yu, Mingsheng Long, Chen Wang, 2019 .

PredCNN: Predictive Learning with Cascade Convolutions

Jianmin Wang, Mingsheng Long, Yunbo Wang, 2018, IJCAI.

Transferable Normalization: Towards Improving Transferability of Deep Neural Networks

Michael I. Jordan, Mingsheng Long, Ximei Wang, 2019, NeurIPS.

Transfer Adversarial Hashing for Hamming Space Retrieval

Jianmin Wang, Chao Huang, Mingsheng Long, 2017, AAAI.

Conditional Adversarial Domain Adaptation

Michael I. Jordan, Mingsheng Long, Zhangjie Cao, 2017, NeurIPS.

Transfer Sparse Coding for Robust Image Representation

Philip S. Yu, Jianmin Wang, Jia-Guang Sun, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Correlation Hashing Network for Efficient Cross-Modal Retrieval pdf

Jianmin Wang, Yue Cao, Mingsheng Long, 2016, BMVC.

Partial Adversarial Domain Adaptation pdf

Jianmin Wang, Mingsheng Long, Lijia Ma, 2018, ECCV.

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

Philip S. Yu, Jianmin Wang, Zhifeng Gao, 2017, NIPS.

Deep Priority Hashing

Philip S. Yu, Mingsheng Long, Jianmin Wang, 2018, ACM Multimedia.

Correlation Autoencoder Hashing for Supervised Cross-Modal Search

Jianmin Wang, Yue Cao, Mingsheng Long, 2016, ICMR.

Topic Correlation Analysis for Cross-Domain Text Classification

Mingsheng Long, Xiaoming Jin, Lianghao Li, 2012, AAAI.

Partial Transfer Learning with Selective Adversarial Networks

Jianmin Wang, Michael I. Jordan, Mingsheng Long, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Stochastic Normalization

Mingsheng Long, Kaichao You, Zhi Kou, 2020, NeurIPS.

Deep Cauchy Hashing for Hamming Space Retrieval

Jianmin Wang, Bin Liu, Yue Cao, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Unsupervised Transfer Learning for Spatiotemporal Predictive Networks

Yunbo Wang, Mingsheng Long, Jianmin Wang, 2020, ICML.

MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions

Mingsheng Long, Zhiyu Yao, Haixu Wu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LogME: Practical Assessment of Pre-trained Models for Transfer Learning

Mingsheng Long, Kaichao You, Jianmin Wang, 2021, ICML.

Preface

Mingsheng Long, Sheng-Jun Huang, Min-Ling Zhang, 2021, J. Comput. Sci. Technol..

Cycle Self-Training for Domain Adaptation pdf

Mingsheng Long, Jianmin Wang, Hong Liu, 2021, NeurIPS.

Regressive Domain Adaptation for Unsupervised Keypoint Detection

Mingsheng Long, Ximei Wang, Jianmin Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Self-Tuning for Data-Efficient Deep Learning

Mingsheng Long, Ximei Wang, Jianmin Wang, 2021, ICML.

Minimum Class Confusion for Versatile Domain Adaptation

Mingsheng Long, Ximei Wang, Jianmin Wang, 2019, ECCV.