Xiao-Ming Wu
Xiao-Ming Wu
Assistant Professor, The Hong Kong Polytechnic University
Verified email at polyu.edu.hk - Homepage
Cited by
Cited by
Deeper insights into graph convolutional networks for semi-supervised learning
Q Li, Z Han, XM Wu
AAAI, 2018
Segmentation using superpixels: A bipartite graph partitioning approach
Z Li, XM Wu, SF Chang
CVPR, 789-796, 2012
Learning with Partially Absorbing Random Walks.
XM Wu, Z Li, AMC So, J Wright, SF Chang
NeurIPS 25, 3077-3085, 2012
Locally linear hashing for extracting non-linear manifolds
G Irie, Z Li, XM Wu, SF Chang
CVPR, 2115-2122, 2014
Label efficient semi-supervised learning via graph filtering
Q Li, XM Wu, H Liu, X Zhang, Z Guan
CVPR, 9582-9591, 2019
Attributed graph clustering via adaptive graph convolution
X Zhang, H Liu, Q Li, XM Wu
IJCAI, 2019
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming.
XM Wu, AMC So, Z Li, SYR Li
NeurIPS 22, 1964-1972, 2009
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
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
ACL, 1050-1060, 2020
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
Reconstructing capsule networks for zero-shot intent classification
H Liu, X Zhang, L Fan, X Fu, Q Li, XM Wu, AYS Lam
EMNLP, 4799-4809, 2019
Medical visual question answering via conditional reasoning
LM Zhan, B Liu, L Fan, J Chen, XM Wu
ACM Multimedia, 2345-2354, 2020
New insights into laplacian similarity search
XM Wu, Z Li, SF Chang
CVPR, 1949-1957, 2015
Analyzing the harmonic structure in graph-based learning
XM Wu, Z Li, SF Chang
NeurIPS, 3129-3137, 2013
Variational metric scaling for metric-based meta-learning
J Chen, LM Zhan, XM Wu, F Chung
AAAI 34 (04), 3478-3485, 2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
M Wang, Y Lin, G Lin, K Yang, XM Wu
KDD, 2349-2358, 2020
Network transfer learning via adversarial domain adaptation with graph convolution
Q Dai, X Shen, XM Wu, D Wang
arXiv preprint arXiv:1909.01541, 2019
Large margin meta-learning for few-shot classification
Y Wang, XM Wu, Q Li, J Gu, W Xiang, L Zhang, VOK Li
NeurIPS Workshop on Meta-Learning, 2018
A closer look at the training strategy for modern meta-learning
J Chen, XM Wu, Y Li, Q Li, LM Zhan, F Chung
NeurIPS 33, 2020
Generalized label propagation methods for semi-supervised learning
Q Li, XM Wu, Z Guan
ICLR 2019 Submission, 2018
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