Yu Zheng

44 papers A* 8A 3B 1Journal 31Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection.
CoRR
Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Philip S. Yu, Shirui Pan
2026 A* conf
OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models.
WWW
Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan
2026 J jnl
OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models.
CoRR
Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan
2026 J jnl
Towards One-for-All Anomaly Detection for Tabular Data.
CoRR
Shiyuan Li, Yixin Liu, Yu Zheng, Xiaofeng Cao, Shirui Pan, Heng Tao Shen
2025 — conf
A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models.
ICKG
Junjun Pan, Yu Zheng, Yue Tan, Yixin Liu
2025 J jnl
A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models.
CoRR
Junjun Pan, Yu Zheng, Yue Tan, Yixin Liu
2025 J jnl
Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection.
CoRR
Junjun Pan, Yixin Liu, Rui Miao, Kaize Ding, Yu Zheng, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Shirui Pan
2025 A conf
FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection.
CIKM
Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan
2025 J jnl
FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection.
CoRR
Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan
2025 A* conf
Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts.
ICDM
Xin Zheng, Bo Li, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan
2024 A* conf
ARC: A Generalist Graph Anomaly Detector with In-Context Learning.
NeurIPS
Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
2024 J jnl
ARC: A Generalist Graph Anomaly Detector with In-Context Learning.
CoRR
Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
2024 J jnl
Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang
2024 A* conf
Graph Contrastive Learning with Kernel Dependence Maximization for Social Recommendation.
WWW
Xuelian Ni, Fei Xiong, Yu Zheng, Liang Wang
2024 J jnl
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values.
CoRR
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
2024 J jnl
Graph spatiotemporal process for multivariate time series anomaly detection with missing values.
Inf. Fusion
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
2024 J jnl
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Lan, Chunling Li, Qingfeng Chen, Ning Yu, Yi Pan, Yu Zheng, Yi-Ping Phoebe Chen
2023 J jnl
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection.
CoRR
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang
2023 A* conf
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.
ICML
Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan
2023 J jnl
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.
CoRR
Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan
2023 J jnl
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
2023 J jnl
Graph Self-Supervised Learning: A Survey.
IEEE Trans. Knowl. Data Eng.
Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
2023 J jnl
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
2023 J jnl
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs.
IEEE Trans. Knowl. Data Eng.
Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan
2022 J jnl
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach.
CoRR
Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen
2022 J jnl
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs.
CoRR
Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan
2022 A* conf
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.
NeurIPS
Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
2022 J jnl
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.
CoRR
Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
2022 A* conf
Towards Unsupervised Deep Graph Structure Learning.
WWW
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2022 J jnl
Towards Unsupervised Deep Graph Structure Learning.
CoRR
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2022 A* conf
Unifying Graph Contrastive Learning with Flexible Contextual Scopes.
ICDM
Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan
2022 J jnl
Unifying Graph Contrastive Learning with Flexible Contextual Scopes.
CoRR
Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan
2021 A conf
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.
CIKM
Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan
2021 J jnl
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection.
CoRR
Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
2021 J jnl
Selection strategy in graph-based spreading dynamics with limited capacity.
Future Gener. Comput. Syst.
Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen
2020 J jnl
A Tri-Attention Neural Network Model-BasedRecommendation.
Complex.
Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai
2020 J jnl
Clustering social audiences in business information networks.
Pattern Recognit.
Yu Zheng, Ruiqi Hu, Sai-Fu Fung, Celina Ping Yu, Guodong Long, Ting Guo, Shirui Pan
2020 J jnl
Searching Correlated Patterns From Graph Streams.
IEEE Access
Ming Jin, Mei Li, Yu Zheng, Lianhua Chi
2019 J jnl
Bibliographic Network Representation Based Personalized Citation Recommendation.
IEEE Access
Xiaoyan Cai, Yu Zheng, Libin Yang, Tao Dai, Lantian Guo
2019 B conf
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods.
IJCNN
Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein
2019 J jnl
Joint Model Feature Regression and Topic Learning for Global Citation Recommendation.
IEEE Access
Tao Dai, Li Zhu, Yifan Wang, Hongfei Zhang, Xiaoyan Cai, Yu Zheng
2018 J jnl
A LSTM Based Model for Personalized Context-Aware Citation Recommendation.
IEEE Access
Libin Yang, Yu Zheng, Xiaoyan Cai, Hang Dai, Dejun Mu, Lantian Guo, Tao Dai
2018 A conf
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition.
INTERSPEECH
Ziping Zhao, Yu Zheng, Zixing Zhang, Haishuai Wang, Yiqin Zhao, Chao Li
2018 J jnl
Query-oriented citation recommendation based on network correlation.
J. Intell. Fuzzy Syst.
Libin Yang, Yu Zheng, Xiaoyan Cai, Shirui Pan, Tao Dai