Seuraa
Yizhen Zheng
Yizhen Zheng
PhD candidate, Monash University
Vahvistettu sähköpostiosoite verkkotunnuksessa monash.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
M Jin, Y Zheng, YF Li, C Gong, C Zhou, S Pan
International Joint Conferences on Artificial Intelligence (IJCAI2021), 2022
1722022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Y Zheng, S Pan, VC Lee, Y Zheng, PS Yu
Advances in Neural Information Processing Systems 36, 2022
982022
Beyond smoothing: Unsupervised graph representation learning with edge heterophily discriminating
Y Liu, Y Zheng, D Zhang, VCS Lee, S Pan
Proceedings of the AAAI conference on artificial intelligence 37 (4), 4516-4524, 2023
822023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
Y Zheng, H Zhang, V Lee, Y Zheng, X Wang, S Pan
The Fortieth International Conference on Machine Learning (ICML), 2023
452023
A Survey on Fairness-aware Recommender Systems
D Jin, L Wang, H Zhang, Y Zheng, W Ding, F Xia, S Pan
Information Fusion, 2023
442023
Large language models for scientific synthesis, inference and explanation
Y Zheng, HY Koh, J Ju, ATN Nguyen, LT May, GI Webb, S Pan
arXiv preprint arXiv:2310.07984, 2023
392023
Dual intent enhanced graph neural network for session-based new item recommendation
D Jin, L Wang, Y Zheng, G Song, F Jiang, X Li, W Lin, S Pan
Proceedings of the ACM web conference 2023, 684-693, 2023
362023
Heterogeneous graph attention network for small and medium-sized enterprises bankruptcy prediction
Y Zheng, VCS Lee, Z Wu, S Pan
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 140-151, 2022
352022
Integrating Graphs with Large Language Models: Methods and Prospects
S Pan, Y Zheng, Y Liu
IEEE intelligent systems, 2024
272024
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
D Jin, L Wang, Y Zheng, X Li, F Jiang, W Lin, S Pan
31st International Joint Conference on Artificial Intelligence, IJCAI 2022, 2022
212022
Towards graph self-supervised learning with contrastive adjusted zooming
Y Zheng, M Jin, S Pan, YF Li, H Peng, M Li, Z Li
IEEE Transactions on Neural Networks and Learning Systems, 2022
212022
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
J Pan*, Y Liu*, Y Zheng*, S Pan
IEEE International Conference on Data Mining (ICDM), 2023
162023
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Y Zheng, Y Zheng, X Zhou, C Gong, VCS Lee, S Pan
IEEE International Conference on Data Mining, ICDM 2022, 2022
142022
Contrastive Graph Similarity Networks
L Wang*, Y Zheng*, D Jin, F Li, Y Qiao, S Pan
ACM Transactions on the Web, 2023
112023
Improving augmentation consistency for graph contrastive learning
W Bu, X Cao, Y Zheng, S Pan
Pattern Recognition 148, 110182, 2024
82024
Large language models in drug discovery and development: From disease mechanisms to clinical trials
Y Zheng, HY Koh, M Yang, L Li, LT May, GI Webb, S Pan, G Church
arXiv preprint arXiv:2409.04481, 2024
72024
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective
Y Tao, K Guo, Y Zheng, S Pan, X Cao, Y Chang
Information Sciences 657, 119952, 2024
32024
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Artikkelit 1–17