Siyu Yi

Siyu Yi

PostDoc,
School of Mathematics
Sichuan University

Siyu Yi (易思宇) is currently a postdoc researcher in the School of Mathematics, Sichuan University (SCU), under the supervision of Prof. Huazhen Lin. Before joining SCU, I received my Ph.D. degree in the School of Statistics and Data Science from Nankai University in 2024, under the supervision of Prof. Yongdao Zhou. My current research interests lie primarily in the area of graph machine learning, bigdata subsampling, and AI4Science.

Email: siyuyi@scu.edu.cn

Reviewer

  • 2026: ICLR, ICML, AAAI, TAI, PR, Neurocomputing, Applied Soft Computing
  • 2025: ICLR, ICML, NeurIPS, ACL, AISTATS, KBS, ESWA, Entropy
  • 2024: NeurIPS, ACMMM, TNNLS, Computer Science Review

📢 What’s New

  • 2026.01: One paper has been accepted by ICLR 2026 !!
  • 2026.01: Two papers have been accepted by WWW 2026 !!
  • 2025.11: Two papers have been accepted by AAAI 2026 !!
  • 2025.11: One paper has been accepted by TPAMI !!
  • 2025.09: One paper has been accepted by NeurIPS 2025 !!
  • 2025.04: One paper has been accepted by IJCAI 2025 !!
  • 2025.02: One paper has been accepted by TMM !!
  • 2025.01: One paper has been accepted by TMM !!
  • 2025.01: One paper has been accepted by Information Processing and Management !!
  • 2024.12: One paper has been accepted by AAAI 2025 !!
  • 2024.11: One paper has been accepted by TKDD !!

Selected Publications [See All]

(# Equal Contribution, * Co-corresponding Author)

  1. Wei Ju, Siyu Yi*, Kangjie Zheng, Yifan Wang, Ziyue Qiao, Li Shen, Yongdao Zhou*, Xiaochun Cao, Jiancheng Lv (2026). Compactness and Consistency: A conjoint framework for deep graph clustering. Accepted by the 14th International Conference on Learning Representations.
    ICLR

  2. Wei Ju, Siyu Yi*, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang* (2026). Long-tailed recognition of evidential experts for graph-level classification. Accepted by the ACM on Web Conference 2026.
    WWW, CCF-A

  3. Wei Zhang, Siyu Yi*, Lezhi Chen, Yifan Wang, Ziyue Qiao, Yongdao Zhou, and Wei Ju* (2026). Evidence-aware integration and domain identification of spatial transcriptomics data. Accepted by the 40th Annual AAAI Conference on Artificial Intelligence.
    [Paper] AAAI, CCF-A

  4. 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, and Ming Zhang* (2025). A survey of graph neural networks in real world: imbalance, noise, privacy and OOD challenges. IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI: 10.1109/TPAMI.2025.3630673.
    [Paper] IEEE TPAMI, JCR Q1, 中科院一区, CCF-A, IF=18.6

  5. Siyu Yi, Zhengyang Mao, Kangjie Zheng, Zhiping Xiao, Ziyue Qiao, Chong Chen, Xiansheng Hua, Yongdao Zhou, Ming Zhang, and Wei Ju (2025). Learning generalizable contrastive representations for graph zero-shot learning. IEEE Transactions on Multimedia, 27, 7584-7595. DOI: 10.1109/TMM.2025.3599043.
    [Paper] IEEE TMM, JCR Q1, 中科院一区, IF=8.4

  6. Siyu Yi, Zhengyang Mao, Yifan Wang, Yiyang Gu, Zhiping Xiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, and Wei Ju (2025). Hypergraph consistency learning with relational distillation. IEEE Transactions on Multimedia, 27, 7028-7039. DOI:10.1109/TMM.2025. 3543068.
    [Paper] IEEE TMM, JCR Q1, 中科院一区, IF=8.4

  7. Wei Ju, Zhengyang Mao, Siyu Yi*, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, and Ming Zhang* (2025) Cluster-guided contrastive class-imbalanced graph classification. In Proceedings of the 39th AAAI Conference on Artificial Intelligence.
    [Paper] AAAI, CCF-A

  8. Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yongdao Zhou, and Ming Zhang (2024). Redundancy-free self-supervised relational learning for graph clustering. IEEE Transactions on Neural Networks and Learning Systems, 35(12), 18313-18327.
    [Paper] TNNLS, JCR Q1，中科院一区，IF=10.4

  9. Wei Ju, Zhengyang Mao, Siyu Yi*, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, and Ming Zhang* (2024). Hypergraph-enhanced dual semi-supervised graph classification. In Proceedings of the 41st International Conference on Machine Learning, 22594-22604.
    [Paper] ICML, CCF-A

  10. Wei Ju, Siyu Yi*, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, and Ming Zhang*. (2024). A survey of data-efficient graph learning. In Proceedings of the 33rd International Joint Conference on Artificial Intelligence, 8104-8113.
    [Paper] IJCAI, CCF-A

  11. Siyu Yi#, Ze Liu#, Min-Qian Liu, and Yongdao Zhou (2023). Global likelihood sampler for multimodal distributions, Journal of Computational and Graphical Statistics, 32(3), 927-937.
    [Paper] JCGS, JCR Q1，中科院二区，IF=2.4

  12. Siyu Yi, and Yongdao Zhou (2023). Model-free global likelihood subsampling for massive data. Statistics and Computing, 33(1):9.
    [Paper] JCR Q1，中科院二区，IF=2.2

  13. Siyu Yi#, Zhengyang Mao#, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, and Ming Zhang (2023). Towards long-tailed recognition for graph classification via collaborative experts. IEEE Transactions on Big Data, 9(6), 1683-1696.
    [Paper] TBD, JCR Q1，IF=7.2