Zhengyang Mao

28 papers A* 5Journal 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang
2026 J jnl
DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs.
IEEE Trans. Multim.
Yiyang Gu, Zihao Chen, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Wei Ju, Chong Chen, Xian-Sheng Hua, Yifan Wang, Xiao Luo, Ming Zhang
2026 J jnl
Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction.
CoRR
Wei Ju, Wei Zhang, Siyu Yi, Zhengyang Mao, Yifan Wang, Jingyang Yuan, Zhiping Xiao, Ziyue Qiao, Ming Zhang
2026 A* conf
Long-Tailed Recognition of Evidential Experts for Graph-level Classification.
WWW
Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang
2025 J jnl
AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining.
CoRR
Hongjun Ding, Binqi Chen, Jinsheng Huang, Taian Guo, Zhengyang Mao, Guoyi Shao, Lutong Zou, Luchen Liu, Ming Zhang
2025 A* conf
Cluster-guided Contrastive Class-imbalanced Graph Classification.
AAAI
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang
2025 J jnl
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.
Sci. China Inf. Sci.
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2025 J jnl
Hypergraph Consistency Learning With Relational Distillation.
IEEE Trans. Multim.
Siyu Yi, Zhengyang Mao, Yifan Wang, Yiyang Gu, Zhiping Xiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 J jnl
Learning Generalizable Contrastive Representations for Graph Zero-Shot Learning.
IEEE Trans. Multim.
Siyu Yi, Zhengyang Mao, Kangjie Zheng, Zhiping Xiao, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Yong-Dao Zhou, Ming Zhang, Wei Ju
2025 J jnl
Learning Knowledge-diverse Experts for Long-tailed Graph Classification.
ACM Trans. Knowl. Discov. Data
Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang
2025 J jnl
MASS: Multi-Agent Simulation Scaling for Portfolio Construction.
CoRR
Taian Guo, Haiyang Shen, Jinsheng Huang, Zhengyang Mao, Junyu Luo, Zhuoru Chen, Xuhui Liu, Bingyu Xia, Luchen Liu, Yun Ma, Ming Zhang
2024 J jnl
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
2024 J jnl
A Survey on Graph Neural Networks in Intelligent Transportation Systems.
CoRR
Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
2024 J jnl
Cluster-guided Contrastive Class-imbalanced Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang
2024 J jnl
Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit.
Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang
2024 J jnl
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2024 A* conf
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
ICML
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang
2024 J jnl
Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR
Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
2023 A* conf
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
ACM Multimedia
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 J jnl
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 A* conf
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
ACM Multimedia
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
CoRR
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Trans. Mach. Learn. Res.
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
CoRR
Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023 J jnl
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
IEEE Trans. Big Data
Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023 J jnl
Zero-shot Node Classification with Graph Contrastive Embedding Network.
Trans. Mach. Learn. Res.
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang