Siyu Yi

According to our database, Siyu Yi authored at least 29 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification.

Boyang Fan, Hengchuang Yin, Siyu Yi, Yifan Wang, Zhicheng Li, Leijiyu Zhou, Jiancheng Lv, Wei Ju

CoRR, April, 2026

A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.

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

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction.

Wei Ju, Wei Zhang, Siyu Yi, Zhengyang Mao, Yifan Wang, Jingyang Yuan, Zhiping Xiao, Ziyue Qiao, Ming Zhang

CoRR, January, 2026

KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.

Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju

Proceedings of the ACM Web Conference 2026, 2026

Long-Tailed Recognition of Evidential Experts for Graph-level Classification.

Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang

Proceedings of the ACM Web Conference 2026, 2026

Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data.

Wei Zhang, Siyu Yi, Lezhi Chen, Yifan Wang, Ziyue Qiao, Yongdao Zhou, Wei Ju

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering.

Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi, Fanchun Meng, Zeyu Ma, Qingqing Long, Wei Ju

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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., July, 2025

Learning Knowledge-diverse Experts for Long-tailed Graph Classification.

Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang

ACM Trans. Knowl. Discov. Data, February, 2025

Learning Generalizable Contrastive Representations for Graph Zero-Shot Learning.

Siyu Yi, Zhengyang Mao, Kangjie Zheng, Zhiping Xiao, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Yong-Dao Zhou, Ming Zhang, Wei Ju

IEEE Trans. Multim., 2025

Hypergraph Consistency Learning With Relational Distillation.

Siyu Yi, Zhengyang Mao, Yifan Wang, Yiyang Gu, Zhiping Xiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju

IEEE Trans. Multim., 2025

MHGC: Multi-scale hard sample mining for contrastive deep graph clustering.

Tao Ren, Haodong Zhang, Yifan Wang, Wei Ju, Chengwu Liu, Fanchun Meng, Siyu Yi, Xiao Luo

Inf. Process. Manag., 2025

PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment.

Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Cluster-guided Contrastive Class-imbalanced Graph Classification.

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.

Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Focus on informative graphs! Semi-supervised active learning for graph-level classification.

Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang

Pattern Recognit., 2024

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.

Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang

Inf. Fusion, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

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

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

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

CoRR, 2024

A Survey of Data-Efficient Graph Learning.

Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency.

Wei Ju, Siyu Yi, Ming Zhang

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang

IEEE Trans. Big Data, December, 2023

Zero-shot Node Classification with Graph Contrastive Embedding Network.

Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang

Trans. Mach. Learn. Res., 2023

Model-free global likelihood subsampling for massive data.

Siyu Yi, Yong-Dao Zhou

Stat. Comput., 2023

DAFuzz: data-aware fuzzing of in-memory data stores.

Yingpei Zeng, Fengming Zhu, Siyi Zhang, Yu Yang, Siyu Yi, Yufan Pan, Guojie Xie, Ting Wu

PeerJ Comput. Sci., 2023

Global Likelihood Sampler for Multimodal Distributions.

Siyu Yi, Ze Liu, Min-Qian Liu, Yong-Dao Zhou

J. Comput. Graph. Stat., 2023

2019

The Design Patent Images Classification Based on Image Caption Model.

Hongyu Liu, Qingyun Dai, Ya Li, Chuxin Zhang, Siyu Yi, Tao Yuan

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019