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Jian Liang (梁坚)
Jian Liang (梁坚)
CASIA << NUS << CASIA << XJTU
Verified email at nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
J Liang, D Hu, J Feng
International Conference on Machine Learning, 6028-6039, 2020
3102020
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach
L He, J Liang, H Li, Z Sun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2032018
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation
J Liang, R He, Z Sun, T Tan
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (5), 1027-1042, 2019
742019
Exploring Uncertainty in Pseudo-label Guided Unsupervised Domain Adaptation
J Liang, R He, Z Sun, T Tan
Pattern Recognition (PR) Journal, 2019
682019
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation
J Liang, R He, Z Sun, T Tan
IEEE Conference on Computer Vision and Pattern Recognition, 2975-2984, 2019
622019
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
J Liang, Y Wang, D Hu, R He, J Feng
European Conference on Computer Vision (ECCV), 123-140, 2020
492020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
J Liang, D Hu, Y Wang, R He, J Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
422021
Domain Adaptation with Auxiliary Target Domain-Oriented Classifier
J Liang, D Hu, J Feng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
362021
Self-Paced Learning: an Implicit Regularization Perspective
Y Fan, R He, J Liang, BG Hu
AAAI Conference on Artificial Intelligence, 1877-1883, 2017
352017
Self-Paced Cross-Modal Subspace Matching
J Liang, Z Li, D Cao, R He, J Wang
International ACM SIGIR conference on Research and Development in …, 2016
352016
Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model
Y Zhan, J Wei, J Liang, X Xu, R He, TW Robbins, Z Wang
American Journal of Psychiatry 178 (1), 65-76, 2021
252021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
M Luo, F Chen, D Hu, Y Zhang, J Liang, J Feng
Annual Conference on Neural Information Processing Systems, 5972-5984, 2021
242021
Group-Invariant Cross-Modal Subspace Learning
J Liang, R He, Z Sun, T Tan
International Joint Conference on Artificial Intelligence, 1739-1745, 2016
202016
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Y Zhang, B Hooi, D Hu, J Liang, J Feng
Annual Conference on Neural Information Processing Systems, 29848-29860, 2021
192021
Deep Semantic Reconstruction Hashing for Similarity Retrieval
Y Wang, X Ou, J Liang, Z Sun
IEEE Transactions on Circuits and Systems for Video Technology 31 (1), 387-400, 2021
172021
Adversarial Domain Adaptation with Prototype-Based Normalized Output Conditioner
D Hu, J Liang, Q Hou, H Yan, Y Chen
IEEE Transactions on Image Processing 30, 9359-9371, 2021
16*2021
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
J Liang, D Hu, J Feng, R He
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
15*2022
Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation
J Wei, J Liang, R He, J Yang
IEEE International Conference on Multimedia and Expo, 1-6, 2018
142018
Robust Localized Multi-view Subspace Clustering
Y Fan, J Liang, R He, BG Hu, S Lyu
arXiv preprint arXiv:1705.07777, 2017
112017
Local Semantic-aware Deep Hashing with Hamming-isometric Quantization
Y Wang, J Liang, D Cao, Z Sun
IEEE Transactions on Image Processing 28 (6), 2665-2679, 2019
102019
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Articles 1–20