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Yu Zheng
Yu Zheng
Подтвержден адрес электронной почты в домене latrobe.edu.au
Название
Процитировано
Процитировано
Год
Graph self-supervised learning: A survey
Y Liu, M Jin, S Pan, C Zhou, Y Zheng, F Xia, SY Philip
IEEE transactions on knowledge and data engineering 35 (6), 5879-5900, 2022
6382022
Towards Unsupervised Deep Graph Structure Learning
Y Liu, Y Zheng, D Zhang, H Chen, H Peng, S Pan
The Web Conference (WWW), 2022
1942022
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Y Zheng, M Jin, Y Liu, L Chi, KT Phan, YPP Chen
IEEE Transactions on Knowledge and Data Engineering, 2021
1472021
Multivariate time series forecasting with dynamic graph neural odes
M Jin, Y Zheng, YF Li, S Chen, B Yang, S Pan
IEEE Transactions on Knowledge and Data Engineering 35 (9), 9168-9180, 2022
1222022
Anemone: Graph anomaly detection with multi-scale contrastive learning
M Jin, Y Liu, Y Zheng, L Chi, YF Li, S Pan
Proceedings of the 30th ACM international conference on information …, 2021
1222021
A LSTM based model for personalized context-aware citation recommendation
L Yang, Y Zheng, X Cai, H Dai, D Mu, L Guo, T Dai
IEEE access 6, 59618-59627, 2018
1012018
Rethinking and scaling up graph contrastive learning: An extremely efficient approach with group discrimination
Y Zheng, S Pan, V Lee, Y Zheng, PS Yu
Advances in Neural Information Processing Systems 35, 10809-10820, 2022
952022
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
International Conference on Machine Learning, 42492-42505, 2023
442023
Correlation-aware spatial–temporal graph learning for multivariate time-series anomaly detection
Y Zheng, HY Koh, M Jin, L Chi, KT Phan, S Pan, YPP Chen, W Xiang
IEEE Transactions on Neural Networks and Learning Systems, 2023
302023
Clustering social audiences in business information networks
Y Zheng, R Hu, S Fung, C Yu, G Long, T Guo, S Pan
Pattern Recognition 100, 107126, 2020
262020
From unsupervised to few-shot graph anomaly detection: A multi-scale contrastive learning approach
Y Zheng, M Jin, Y Liu, L Chi, KT Phan, YPP Chen
arXiv preprint arXiv:2202.05525, 2022
212022
Unifying graph contrastive learning with flexible contextual scopes
Y Zheng, Y Zheng, X Zhou, C Gong, VCS Lee, S Pan
2022 IEEE International Conference on Data Mining (ICDM), 793-802, 2022
142022
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features
W Lan, C Li, Q Chen, N Yu, Y Pan, Y Zheng, YPP Chen
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024
132024
Query-oriented citation recommendation based on network correlation
L Yang, Y Zheng, X Cai, S Pan, T Dai
Journal of Intelligent & Fuzzy Systems 35 (4), 4621-4628, 2018
122018
Ensemble of multiple descriptors for automatic image annotation
D He, Y Zheng, S Pan, J Tang
2010 3rd International Congress on Image and Signal Processing 4, 1642-1646, 2010
82010
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa T. Phan ...
Information Fusion 106 (102255), 11, 2024
7*2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Y Liu, S Li, Y Zheng, Q Chen, C Zhang, S Pan
Advances in Neural Information Processing Systems, 2024
72024
Graph Contrastive Learning with Kernel Dependence Maximization for Social Recommendation
X Ni, F Xiong, Y Zheng, L Wang
Proceedings of the ACM on Web Conference 2024, 481-492, 2024
52024
Selection strategy in graph-based spreading dynamics with limited capacity
F Xiong, Y Zheng, W Ding, H Wang, X Wang, H Chen
Future Generation Computer Systems 114, 307-317, 2021
52021
Feature-dependent graph convolutional autoencoders with adversarial training methods
D Wu, R Hu, Y Zheng, J Jiang, N Sharma, M Blumenstein
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
42019
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Статьи 1–20