Xiao-Ming Wu
Xiao-Ming Wu
Assistant Professor, The Hong Kong Polytechnic University
Verified email at polyu.edu.hk - Homepage
Title
Cited by
Cited by
Year
Deeper insights into graph convolutional networks for semi-supervised learning
Q Li, Z Han, XM Wu
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
5882018
Segmentation using superpixels: A bipartite graph partitioning approach
Z Li, XM Wu, SF Chang
2012 IEEE conference on computer vision and pattern recognition, 789-796, 2012
3012012
Learning with Partially Absorbing Random Walks.
XM Wu, Z Li, AMC So, J Wright, SF Chang
NIPS 25, 3077-3085, 2012
1072012
Locally linear hashing for extracting non-linear manifolds
G Irie, Z Li, XM Wu, SF Chang
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1032014
Label efficient semi-supervised learning via graph filtering
Q Li, XM Wu, H Liu, X Zhang, Z Guan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
432019
Attributed graph clustering via adaptive graph convolution
X Zhang, H Liu, Q Li, XM Wu
arXiv preprint arXiv:1906.01210, 2019
362019
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming.
XM Wu, AMC So, Z Li, SYR Li
NIPS, 1964-1972, 2009
262009
Large margin few-shot learning
Y Wang, XM Wu, Q Li, J Gu, W Xiang, L Zhang, VOK Li
arXiv preprint arXiv:1807.02872, 2018
172018
New insights into laplacian similarity search
XM Wu, Z Li, SF Chang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
132015
Analyzing the harmonic structure in graph-based learning
XM Wu, Z Li, SF Chang
Advances in Neural Information Processing Systems, 3129-3137, 2013
122013
Reconstructing capsule networks for zero-shot intent classification
H Liu, X Zhang, L Fan, X Fu, Q Li, XM Wu, AYS Lam
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
102019
Variational metric scaling for metric-based meta-learning
J Chen, LM Zhan, XM Wu, F Chung
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3478-3485, 2020
92020
Self-supervised graph representation learning via global context prediction
Z Peng, Y Dong, M Luo, XM Wu, Q Zheng
arXiv preprint arXiv:2003.01604, 2020
92020
Unknown intent detection using Gaussian mixture model with an application to zero-shot intent classification
G Yan, L Fan, Q Li, H Liu, X Zhang, XM Wu, AYS Lam
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
52020
Large margin meta-learning for few-shot classification
Y Wang, XM Wu, Q Li, J Gu, W Xiang, L Zhang, VOK Li
Proc. 2nd Workshop Meta-Learn. NeurIPS, 1-8, 2018
52018
Medical Visual Question Answering via Conditional Reasoning
LM Zhan, B Liu, L Fan, J Chen, XM Wu
Proceedings of the 28th ACM International Conference on Multimedia, 2345-2354, 2020
32020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
M Wang, Y Lin, G Lin, K Yang, X Wu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
32020
Generalized label propagation methods for semi-supervised learning
Q Li, XM Wu, Z Guan
32018
A Closer Look at the Training Strategy for Modern Meta-Learning
J Chen, XM Wu, Y Li, Q Li, LM Zhan, F Chung
Advances in Neural Information Processing Systems 33, 2020
22020
Attributed Graph Learning with 2-D Graph Convolution
Q Li, X Zhang, H Liu, XM Wu
22019
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