Preprints (🚩: corresponding authors; 🥇: co-first authors)

ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation.
Abstract:
Yuhe Ding, Lijun Sheng, Jian Liang🚩, Aihua Zheng, Ran He.
submitted to IEEE Transactions on Image Processing (TIP), under review, 2022.
[Paper] [Code]

Source Data-Free Cross-Domain Semantic Segmentation: Align, Teach and Propagate.
Abstract:
Yuxi Wang, Jian Liang, Zhaoxiang Zhang.
submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), under review, 2022.
[Paper]

Color-Unrelated Head-Shoulder Networks for Fine-Grained Person Re-identification.
Abstract:
Boqiang Xu, Lingxiao He, Jian Liang, Xingyu Liao, Chao Fan, Zhenan Sun.
submitted to ACM Transactions on Multimedia Computing, Communications, and Application (TOMM), major revision, 2022.

Reciprocal Normalization for Domain Adaptation.
Abstract:
Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun.
submitted to Pattern Recognition (PR), under review, 2022.
[Paper] [Code]

META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification.
Abstract:
Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun.
submitted to European Conference on Computer Vision (ECCV), 2022.
[Paper] [Link]

Finding Diverse and Predictable Subgraphs for Graph Domain Generalization.
Abstract:
Junchi Yu, Jian Liang, Ran He.
submitted to Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Link]

xxx for Fingerprinting Deep Neural Networks.
Abstract:
Jiyang Guan, Jian Liang, Ran He.
submitted to Proc. xxx, under review, 2022.

xxx for Efficient Cross-Domain Semantic Segmentation.
Abstract:
Yuxi Wang, Jian Liang, Zhaoxiang Zhang, Yuran Yang, Shuqi Mei.
submitted to Proc. xxx, under review, 2022.

Towards xxx in Heterogeneous Federated Learning.
Abstract:
Yujun Shi, Song Bai, Jian Liang, Wenqing Zhang, Vincent Tan.
submitted to Proc. xxx, under review, 2022.

UMAD: Universal Model Adaptation under Domain and Category Shift.
Abstract:
Jian Liang, Dapeng Hu, Jiashi Feng, Ran He.
Arxiv technical report, 2021.
[Paper] [Link]

Semi-Supervised Domain Generalizable Person Re-Identification.
Abstract:
Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei.
Arxiv technical report, 2021.
[Paper] [Link]

On Evolving Attention Towards Domain Adaptation.
Abstract:
Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun.
Arxiv technical report, 2021.
[Paper] [Link]

Robust Localized Multi-view Subspace Clustering.
Abstract:
Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu.
Arxiv technical report, 2017.
[Paper] [Link]

Publications [2022] [2021] [2020] [2019] [2018] [2017] [2016] [2015]

Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer.
Abstract:
Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), In Press
[Paper] [Appendix] [Link] [Code]

Learning Feature Recovery Transformer for Occluded Person Re-identification.
Abstract:
Boqiang Xu, Lingxiao He, Jian Liang🚩, Zhenan Sun.
IEEE Transactions on Image Processing (TIP), 2022.
[Paper] [Link]

Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement.
Abstract:
Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiao-Yu Zhang.
IEEE Transactions on Information Forensics and Security (TIFS), 2022
[Paper] [Link]

DINE: Domain Adaptation from Single and Multiple Black-box Predictors.
Abstract:
Jian Liang, Dapeng Hu, Jiashi Feng, Ran He.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
[Paper] [Link] [Code] [Slides]

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.
Abstract:
Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip Torr, Song Bai, Vincent Y. F. Tan.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Link] [Code]

Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model.
Abstract:
Yafeng Zhan🥇, Jianze Wei🥇, Jian Liang, Xiu Xu, Ran He, Trevor W Robbins, Zheng Wang.
American Journal of Psychiatry (AJP), 2021
[Paper] [Link]

Adversarial Domain Adaptation with Prototype-Based Normalized Output Conditioner.
Abstract:
Dapeng Hu, Jian Liang🚩, Qibin Hou, Hanshu Yan, Yunpeng Chen.
IEEE Transactions on Image Processing (TIP), 2021
[Paper] [Link] [Code]

Deep Semantic Reconstruction Hashing for Similarity Retrieval.
Abstract:
Yunbo Wang, Xianfeng Ou, Jian Liang, Zhenan Sun.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
[Paper] [Link]

Domain Adaptation with Auxiliary Target Domain-Oriented Classifier.
Abstract:
Jian Liang, Dapeng Hu, Jiashi Feng.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Paper] [Link] [Code] [Slides]

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data.
Abstract:
Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang🚩, Jiashi Feng🚩.
Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
[Paper] [Link]

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning.
Abstract:
Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng.
Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
[Paper] [Link] [Code] [Slides]

Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation.
Abstract:
Jian Liang, Dapeng Hu, Jiashi Feng.
International Conference on Machine Learning (ICML), 2020
[Paper] [Link] [Code] [Slides]

A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation.
Abstract:
Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng.
European Conference on Computer Vision (ECCV), 2020
[Paper] [Link] [Code] [Slides]

Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation.
Abstract:
Jian Liang, Ran He, Zhenan Sun, Tieniu Tan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
[Paper] [Appendix] [Link] [Code] [Office-Home-ResNet-features (password: rb13)]

Local Semantic-aware Deep Hashing with Hamming-isometric Quantization.
Abstract:
Yunbo Wang, Jian Liang, Dong Cao, Zhenan Sun.
IEEE Transactions on Image Processing (TIP), 2019
[Paper] [Link]

Exploring Uncertainty in Pseudo-label Guided Unsupervised Domain Adaptation.
Abstract:
Jian Liang, Ran He, Zhenan Sun, Tieniu Tan.
Pattern Recognition (PR), 2019
[Paper] [Link] [Code]

Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation.
Abstract:
Jian Liang, Ran He, Zhenan Sun, Tieniu Tan.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[Paper] [Link] [Code]

Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach.
Abstract:
Lingxiao He🥇, Jian Liang🥇, Haiqing Li, Zhenan Sun.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[Paper] [Link] [Code]

X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding.
Abstract:
Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, Ran He.
Asian Conference on Computer Vision (ACCV), 2018
[Paper] [Link]

Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation.
Abstract:
Jianze Wei🥇, Jian Liang🥇🚩, Ran He, Jinfeng Yang.
IEEE International Conference on Multimedia and Expo (ICME), 2018 (Oral)
[Paper] [Link] [Slides]

Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data.
Abstract:
Dekui Ma🥇, Jian Liang🥇🚩, Ran He, Xiangwei Kong.
IEEE MultiMedia (IEEE MM), 2017
[Paper] [Link] [Code]

Self-Paced Learning: an Implicit Regularization Perspective.
Abstract:
Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu.
AAAI Conference on Artificial Intelligence (AAAI), 2017 (Oral)
[Paper] [Link]

Self-Paced Cross-Modal Subspace Matching.
Abstract:
Jian Liang🥇, Zhihang Li🥇, Dong Cao, Ran He, Jingdong Wang.
International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2016 (Oral)
[Paper] [Link] [Slides] [Code] [Dataset]

Group-Invariant Cross-Modal Subspace Learning.
Abstract:
Jian Liang, Ran He, Zhenan Sun, Tieniu Tan.
International Joint Conference on Artificial Intelligence (IJCAI), 2016 (Oral)
[Paper] [Link] [Code] [Slides]

Frustratingly Easy Cross-Modal Hashing.
Abstract:
Dekui Ma🥇, Jian Liang🥇🚩, Xiangwei Kong, Ran He, Ying Li.
Annual ACM Conference on Multimedia Conference (ACM MM), 2016
[Paper] [Link] [Code] [Dataset]

Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval.
Abstract:
Dekui Ma🥇, Jian Liang🥇🚩, Xiangwei Kong, Ran He.
IEEE International Symposium on Multimedia (ISM), Best Paper Candidate, 2016
[Paper] [Link]

Code Consistent Hashing Based on Information-Theoretic Criterion.
Abstract:
Shu Zhang🥇, Jian Liang🥇, Ran He, Zhenan Sun.
IEEE Transactions on Big Data (TBD), 2015
[Paper] [Link]

Two-Step Greedy Subspace Clustering.
Abstract:
Lingxiao Song, Man Zhang, Zhenan Sun, Jian Liang, Ran He.
Advances in Multimedia Information Processing (PCM), 2015 (Oral)
[Paper] [Link]

Principal Affinity Based Cross-Modal Retrieval.
Abstract:
Jian Liang, Dong Cao, Ran He, Zhenan Sun, Tieniu Tan.
IAPR Asian Conference on Pattern Recognition (ACPR), 2015
[Paper] [Link] [Code]