Jian Liang (梁坚)
Jian Liang (梁坚)
NUS << CASIA << XJTU
Verified email at nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
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
1072018
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
382019
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
302019
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
272017
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
272016
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
252020
Exploring Uncertainty in Pseudo-label Guided Unsupervised Domain Adaptation
J Liang, R He, Z Sun, T Tan
Pattern Recognition (PR) Journal, 2019
212019
Group-Invariant Cross-Modal Subspace Learning
J Liang, R He, Z Sun, T Tan
Proceedings of the 25th International Joint Conference on Artificial …, 2016
142016
Robust Localized Multi-view Subspace Clustering
Y Fan, J Liang, R He, BG Hu, S Lyu
arXiv preprint arXiv:1705.07777, 2017
92017
Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data
D Ma, J Liang, R He, X Kong
IEEE MultiMedia 24 (2), 56-65, 2017
92017
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
82020
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
82018
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
82016
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
72015
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
62019
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
52020
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
42020
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
42020
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
42016
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
32018
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Articles 1–20