Jian Liang (梁坚)
Jian Liang (梁坚)
Verified email at nus.edu.sg - Homepage
Cited by
Cited by
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach
L He, J Liang, H Li, Z Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7073-7082, 2018
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
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 (CVPR), 2975-2984, 2019
Self-Paced Learning: an Implicit Regularization Perspective
Y Fan, R He, J Liang, BG Hu
Thirty-First AAAI Conference on Artificial Intelligence, 1877-1883, 2017
Self-Paced Cross-Modal Subspace Matching
J Liang, Z Li, D Cao, R He, J Wang
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
J Liang, D Hu, J Feng
37th International Conference on Machine Learning (ICML), 6028--6039, 2020
Exploring Uncertainty in Pseudo-label Guided Unsupervised Domain Adaptation
J Liang, R He, Z Sun, T Tan
Pattern Recognition (PR) Journal, 2019
Group-Invariant Cross-Modal Subspace Learning
J Liang, R He, Z Sun, T Tan
Proceedings of the 25th International Joint Conference on Artificial …, 2016
Robust Localized Multi-view Subspace Clustering
Y Fan, J Liang, R He, BG Hu, S Lyu
arXiv preprint arXiv:1705.07777, 2017
Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data
D Ma, J Liang, R He, X Kong
IEEE MultiMedia 24 (2), 56-65, 2017
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
Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation
J Wei, J Liang, R He, J Yang
IEEE International Conference on Multimedia and Expo, ICME 2018, 1-6, 2018
Frustratingly Easy Cross-Modal Hashing
D Ma, J Liang, X Kong, R He
Proceedings of the 24th Annual ACM Conference on Multimedia Conference (ACM …, 2016
Code Consistent Hashing Based on Information-Theoretic Criterion
S Zhang, J Liang, R He, Z Sun
IEEE Transactions on Big Data 1 (3), 84-94, 2015
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
Deep Semantic Reconstruction Hashing for Similarity Retrieval
Y Wang, X Ou, J Liang, Z Sun
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020
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, appi. ajp. 2020.19101091, 2020
PANDA: Prototypical Unsupervised Domain Adaptation
D Hu, J Liang, Q Hou, H Yan, Y Chen, S Yan, J Feng
arXiv preprint arXiv:2003.13274, 2020
Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval
D Ma, J Liang, X Kong, R He, Y Li
2016 IEEE International Symposium on Multimedia (ISM), 38-43, 2016
X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding
W Guo, J Liang, X Kong, L Song, R He
Asian Conference on Computer Vision (ACCV), 513-529, 2018
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