The Design Patent Images Classification Based on Image Caption Model. - Hongyu Liu; Qingyun Dai; Ya Li; Chuxin Zhang; Siyu Yi; Tao Yuan (BICS, 2019)

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)

Global Likelihood Sampler for Multimodal Distributions. - Siyu Yi; Ze Liu; Min-Qian Liu; Yong-Dao Zhou (J. Comput. Graph. Stat., 2023)

DAFuzz: data-aware fuzzing of in-memory data stores. - Yingpei Zeng; Fengming Zhu; Siyi Zhang 012; Yu Yang; Siyu Yi; Yufan Pan; Guojie Xie; Ting Wu 001 (PeerJ Comput. Sci., 2023)

Model-free global likelihood subsampling for massive data. - Siyu Yi; Yong-Dao Zhou (Stat. Comput., 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)

Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency. - Wei Ju 001; Siyu Yi; Ming Zhang 004 (ACM TUR-C, 2024)

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 of Data-Efficient Graph Learning. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Qingqing Long; Junyu Luo 002; Zhiping Xiao 001; Ming Zhang 004 (IJCAI, 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)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. - Wei Ju 001; Yusheng Zhao; Yifang Qin; Siyu Yi; Jingyang Yuan; Zhiping Xiao 001; Xiao Luo 001; Xiting Yan; Ming Zhang 004 (Inf. Fusion, 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)

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Yifang Qin; Siyu Yi; Daqing Wu; Luchen Liu; Ming Zhang 004 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. - Siyu Yi; Wei Ju 001; Yifang Qin; Xiao Luo 001; Luchen Liu; Yong-Dao Zhou; Ming Zhang 004 (IEEE Trans. Neural Networks Learn. Syst., 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)

MHGC: Multi-scale hard sample mining for contrastive deep graph clustering. - Tao Ren 002; Haodong Zhang; Yifan Wang; Wei Ju 001; Chengwu Liu 001; Fanchun Meng; Siyu Yi; Xiao Luo 001 (Inf. Process. Manag., 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)

A sampling scheme for estimating the prevalence of a pandemic. - Ze Liu; Siyu Yi; Jianghu (James) Dong; Min-Qian Liu; Yong-Dao Zhou (Commun. Stat. Simul. Comput., 2025)