Xiao-Ming Wu
Xiao-Ming Wu
Associate Professor, The Hong Kong Polytechnic University
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Zitiert von
Zitiert von
Deeper insights into graph convolutional networks for semi-supervised learning
Q Li, Z Han, XM Wu
AAAI 2018 (Oral), 2018
Segmentation using superpixels: A bipartite graph partitioning approach
Z Li, XM Wu, SF Chang
CVPR 2012, 2012
Attributed graph clustering via adaptive graph convolution
X Zhang, H Liu, Q Li, XM Wu
IJCAI 2019, 2019
Label efficient semi-supervised learning via graph filtering
Q Li, XM Wu, H Liu, X Zhang, Z Guan
CVPR 2019, 2019
Learning with Partially Absorbing Random Walks
XM Wu, Z Li, AMC So, J Wright, SF Chang
NeurIPS 2012, 2012
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
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
Locally linear hashing for extracting non-linear manifolds
G Irie, Z Li, XM Wu, SF Chang
CVPR 2014, 2014
Medical visual question answering via conditional reasoning
LM Zhan, B Liu, L Fan, J Chen, XM Wu
ACM MM 2020, 2020
Graph transfer learning via adversarial domain adaptation with graph convolution
Q Dai, XM Wu, J Xiao, X Shen, D Wang
IEEE TKDE 2022, 2022
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
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
Contrastive pre-training and representation distillation for medical visual question answering based on radiology images
B Liu, LM Zhan, XM Wu
MICCAI 2021, 2021
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
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
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
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
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
Reconstructing capsule networks for zero-shot intent classification
H Liu, X Zhang, L Fan, X Fu, Q Li, XM Wu, AYS Lam
EMNLP 2019 Long Paper, 2019
Variational metric scaling for metric-based meta-learning
J Chen, LM Zhan, XM Wu, F Chung
AAAI 2020 (Spotlight), 2020
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