RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. - Zhengyang Mao; Wei Ju 001; Yifang Qin; Xiao Luo 001; Ming Zhang 004 (ACM Multimedia, 2023)

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. - Jingyang Yuan; Xiao Luo 001; Yifang Qin; Zhengyang Mao; Wei Ju 001; Ming Zhang 004 (ACM Multimedia, 2023)

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. - Siyu Yi; Zhengyang Mao; Wei Ju 001; Yongdao Zhou; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (CoRR, 2023)

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. - Xiao Luo 001; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (Trans. Mach. Learn. Res., 2023)

Zero-shot Node Classification with Graph Contrastive Embedding Network. - Wei Ju 001; Yifang Qin; Siyu Yi; Zhengyang Mao; Kangjie Zheng; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (Trans. Mach. Learn. Res., 2023)

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. - Siyu Yi; Zhengyang Mao; Wei Ju 001; Yong-Dao Zhou; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (IEEE Trans. Big Data, 2023)

Hypergraph-enhanced Dual Semi-supervised Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Ming Zhang 004 (ICML, 2024)

A Survey on Graph Neural Networks in Intelligent Transportation Systems. - Hourun Li; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Zhiping Xiao 001; Jiaqi Feng; Yiyang Gu; Wei Ju 001; Xiao Luo 001; Ming Zhang 004 (CoRR, 2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Zhengyang Mao; Hourun Li; Yiyang Gu; Yifang Qin; Nan Yin; Senzhang Wang; Xinwang Liu 002; Xiao Luo 001; et al. (CoRR, 2024)

Towards Graph Contrastive Learning: A Survey and Beyond. - Wei Ju 001; Yifan Wang 014; Yifang Qin; Zhengyang Mao; Zhiping Xiao 001; Junyu Luo 002; Junwei Yang; Yiyang Gu; Dongjie Wang; Qingqing Long; Siyu Yi; Xiao Luo 001; et al. (CoRR, 2024)

Focus on informative graphs! Semi-supervised active learning for graph-level classification. - Wei Ju 001; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Siyu Yi; Zhiping Xiao 001; Xiao Luo 001; Yanjie Fu; Ming Zhang 004 (Pattern Recognit., 2024)

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Zhengyang Mao; Luchen Liu; Yuhui Yuan; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2024)

Cluster-guided Contrastive Class-imbalanced Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Jianhao Shen; Ziyue Qiao; Ming Zhang 004 (AAAI, 2025)

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling. - Wei Ju 001; Yiyang Gu; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Xiao Luo 001; Hui Xiong 001; Ming Zhang 004 (Sci. China Inf. Sci., 2025)

Learning Knowledge-diverse Experts for Long-tailed Graph Classification. - Zhengyang Mao; Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Qingqing Long; Nan Yin; Xinwang Liu 002; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2025)

MASS: Multi-Agent Simulation Scaling for Portfolio Construction. - Taian Guo; Haiyang Shen; Jinsheng Huang; Zhengyang Mao; Junyu Luo 002; Zhuoru Chen; Xuhui Liu; Bingyu Xia; Luchen Liu; Yun Ma 002; Ming Zhang 004 (CoRR, 2025)

AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining. - Hongjun Ding; Binqi Chen; Jinsheng Huang; Taian Guo; Zhengyang Mao; Guoyi Shao; Lutong Zou; Luchen Liu; Ming Zhang 004 (CoRR, 2025)