I agree that this site is using cookies. You can find further informations here.
X
Zhu, Xingquan
68  results:
Bookchapter (Online) X
Search for persons X
?
1

SGCCL: Siamese Graph Contrastive Consensus Learning for Per..:

, In: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining,
Li, Boyu ; Guo, Ting ; Zhu, Xingquan... - p. 589-597 , 2023
Link: https://dl.acm.org/doi/1..
 
?
2

On Computing Paradigms - Where Will Large Language Models B..:

, In: 2023 IEEE International Conference on Data Mining (ICDM),
Wu, Xindong ; Zhu, Xingquan ; Baralis, Elena... - p. 1577-1582 , 2023
Link: https://doi.org/10.1109/..
 
?
3

ConGCN: Factorized Graph Convolutional Networks for Consens..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
Li, Boyu ; Guo, Ting ; Zhu, Xingquan.. - p. 369-386 , 2023
Link: https://doi.org/10.1007/..
 
?
4

Predictive Masking for Semi-Supervised Graph Contrastive Le..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Jin, Yufei ; Zhu, Xingquan - p. 1266-1271 , 2022
Link: https://doi.org/10.1109/..
 
?
5

Message from the ICDM 2022 Program Committee Chairs:

, In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW),
Zhu, Xingquan ; Ranka, Sanjay - p. xxvii-xxviii , 2022
Link: https://doi.org/10.1109/..
 
?
6

Transfer Naïve Bayes Learning using Augmentation and Stacki..:

, In: 2022 IEEE International Conference on Knowledge Graph (ICKG),
Ulus, Cihan ; Wang, Zhiqiang ; Iqbal, Sheikh M.A... - p. 275-282 , 2022
Link: https://doi.org/10.1109/..
 
?
7

Local Contrastive Feature Learning for Tabular Data:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Gharibshah, Zhabiz ; Zhu, Xingquan - p. 3963-3967 , 2022
Link: https://dl.acm.org/doi/1..
 
?
8

Temporal Adaptive Aggregation Network for Dynamic Graph Lea..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Wu, Man ; Zhu, Xingquan - p. 806-811 , 2022
Link: https://doi.org/10.1109/..
 
?
9

GraSSNet: Graph Soft Sensing Neural Networks:

, In: 2021 IEEE International Conference on Big Data (Big Data),
Huang, Yu ; Zhang, Chao ; Yella, Jaswanth... - p. 746-756 , 2021
Link: https://doi.org/10.1109/..
 
?
10

Weak Supervision Network Embedding for Constrained Graph Le..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Guo, Ting ; Zhu, Xingquan ; Wang, Yang. - p. 488-500 , 2021
Link: https://doi.org/10.1007/..
 
?
11

Unsupervised Domain Adaptive Graph Convolutional Networks:

, In: Proceedings of The Web Conference 2020,
Wu, Man ; Pan, Shirui ; Zhou, Chuan.. - p. 1457-1467 , 2020
Link: https://dl.acm.org/doi/1..
 
?
12

Imbalanced Learning for Hospital Readmission Prediction usi..:

, In: 2020 IEEE International Conference on Knowledge Graph (ICKG),
Wang, Shuwen ; Elkin, Magdalyn E. ; Zhu, Xingquan - p. 116-122 , 2020
Link: https://doi.org/10.1109/..
 
?
13

OpenWGL: Open-World Graph Learning:

, In: 2020 IEEE International Conference on Data Mining (ICDM),
Wu, Man ; Pan, Shirui ; Zhu, Xingquan - p. 681-690 , 2020
Link: https://doi.org/10.1109/..
 
?
14

Network Analysis of Technology Stocks using Market Correlat..:

, In: 2020 IEEE International Conference on Knowledge Graph (ICKG),
Chmielewski, Lukasz ; Amin, Rafina ; Wannaphaschaiyong, Anak. - p. 267-274 , 2020
Link: https://doi.org/10.1109/..
 
?
15

TriNE: Network Representation Learning for Tripartite Heter..:

, In: 2020 IEEE International Conference on Knowledge Graph (ICKG),
Gharibshah, Zhabiz ; Zhu, Xingquan - p. 497-504 , 2020
Link: https://doi.org/10.1109/..
 
1-15