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Xiao-Ming Wu
Xiao-Ming Wu
Associate 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
AAAI 2018 (Oral), 2018
30332018
Segmentation using superpixels: A bipartite graph partitioning approach
Z Li, XM Wu, SF Chang
CVPR 2012, 2012
3822012
Attributed graph clustering via adaptive graph convolution
X Zhang, H Liu, Q Li, XM Wu
IJCAI 2019, 2019
3142019
Label efficient semi-supervised learning via graph filtering
Q Li, XM Wu, H Liu, X Zhang, Z Guan
CVPR 2019, 2019
2072019
Learning with Partially Absorbing Random Walks
XM Wu, Z Li, AMC So, J Wright, SF Chang
NeurIPS 2012, 2012
1752012
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
B Liu, LM Zhan, L Xu, L Ma, Y Yang, XM Wu
ISBI 2021 (Oral), 2021
1622021
Overcoming catastrophic forgetting in incremental few-shot learning by finding flat minima
G Shi, J Chen, W Zhang, LM Zhan, XM Wu
NeurIPS 2021 (Spotlight), 2021
1322021
Locally linear hashing for extracting non-linear manifolds
G Irie, Z Li, XM Wu, SF Chang
CVPR 2014, 2014
1192014
Medical visual question answering via conditional reasoning
LM Zhan, B Liu, L Fan, J Chen, XM Wu
ACM MM 2020, 2020
1162020
Graph transfer learning via adversarial domain adaptation with graph convolution
Q Dai, XM Wu, J Xiao, X Shen, D Wang
IEEE TKDE 2022, 2022
1062022
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 2020 Long Paper, 2020
812020
Embedding-based Product Retrieval in Taobao Search
S Li, F Lv, T Jin, G Lin, K Yang, X Zeng, XM Wu, Q Ma
KDD 2021, 2021
792021
Contrastive pre-training and representation distillation for medical visual question answering based on radiology images
B Liu, LM Zhan, XM Wu
MICCAI 2021, 2021
742021
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Q Liu, N Chen, T Sakai, XM Wu
WSDM 2024, 2024
72*2024
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 2020 (Oral), 2020
712020
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
LM Zhan, H Liang, B Liu, L Fan, XM Wu, A Lam
ACL 2021 Long Paper (Oral), 2021
672021
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
642020
New Intent Discovery with Pre-training and Contrastive Learning
Y Zhang, H Zhang, LM Zhan, XM Wu, A Lam
ACL 2022 Long Paper, 2022
482022
Effectiveness of Pre-training for Few-shot Intent Classification
H Zhang, Y Zhang, LM Zhan, J Chen, G Shi, XM Wu, A Lam
Findings of EMNLP 2021 Short Paper, 2021
472021
Variational metric scaling for metric-based meta-learning
J Chen, LM Zhan, XM Wu, F Chung
AAAI 2020 (Spotlight), 2020
452020
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