Jinyu Cai

蔡锦煜, Postdoc, Institute of Data Science, National University of Singapore

JinyuCai.jpg

jinyucai1995[AT]gmail[DOT]com

Greetings! I am currently a Postdoc at the Institute of Data Science, National University of Singapore, working with Prof. See-Kiong Ng. Before that, I received my PhD degree at Fuzhou University, supervised by Prof. Wenzhong Guo and Prof. Shiping Wang. From 2021.10-2022.10, I am a visiting student in the School of Data Science, Chinese University of Hong Kong (Shenzhen), China, supervised by Prof. Jicong Fan. From 2023.01-2023.06, I am a visiting student in the Cooperative AI Lab, King’s College London, UK, supervised by Prof. Yali Du.

个人简历(中文)/ Curriculum Vitae (English) (updated at 30/06/2023).

My research interests: Anomaly detection, Deep clustering, Graph neural networks, Generative adversarial networks.

News

Jul 18, 2024 One paper regarding federated graph anomaly detection has been accepted by ACM MM 2024 (CCF-A)! Many thanks to Yunhe and other collaborators. :sparkles:
Apr 17, 2024 Three papers have been accepted by IJCAI 2024 (CCF-A)! Many thanks to my collaborators. :sparkles:
Feb 7, 2024 One paper has been accepted by TMM (SCI Q1, CCF-B)! Many thanks to my collaborators. :sparkles:
Jan 16, 2024 One paper has been accepted by ICLR2024 (Spotlight)!! Congrats to Yunhe and other collaborators. :sparkles:
Jan 15, 2024 One paper (Graph-level clustering) has been accepted by NCAA! Many thanks to my collaborators.
Jun 25, 2023 I was awarded the honor of Outstanding Ph.D. Graduate from Fuzhou University! :sparkles:
Jun 12, 2023 I received the offer of Postdoc research fellow at the National University of Singapore. Looking forward to conducting exciting research on federated learning with Prof. See-Kiong Ng in Singapore!:sparkles:
May 24, 2023 I have successfully defended my Ph.D. thesis. A long, tough, yet ever-improving journey. Words cannot describe how grateful I am to my supervisor Prof. Wenzhong Guo.

Education

  • 2020 - 2023
    Ph.D.
    College of Computer and Data Science, Fuzhou University, China
    • Master-doctor combined program without a master degree
    • Supervised by Prof. Wenzhong Guo and Prof. Shiping Wang
  • 2021 - 2022
    Visiting Student
    School of Data Science, Chinese University of HongKong (Shenzhen), China.
    • Supervised by Prof. Jicong Fan
  • 2023 - 2023
    Visiting Student
    Cooperative AI Lab, King's College London, UK.
    • Supervised by Prof. Yali Du
  • 2018 - 2020
    M.S.
    College of Computer and Data Science, Fuzhou University, China
    • Supervised by Prof. Wenzhong Guo and Prof. Shiping Wang
  • 2014 - 2018
    B.S.
    College of Mathematics and Computer Science, Fuzhou University, China
    • Supervised by Prof. Wenzhong Guo

Honors and Awards

  • 2023
    • Outstanding Ph.D. graduate, Fuzhou University.
    • The Grand Prize Scholarship for Ph.D. students, Fuzhou University.
    • Xiamen Airlines Scholarship, Fuzhou University.
  • 2021
    • National Scholarship for Ph.D. Student, China.
  • 2020
    • Outstanding Freshman Scholarship for Ph.D. Students, Fuzhou University.
    • Outstanding League Cadres of Fuzhou University.
    • Excellent Academic Scholarship of Master Students, Fuzhou University.
  • 2016 - 2019
    • Research Assistant Scholarship for Master Students of Fuzhou University.
    • Outstanding Student Cadres of Fuzhou University.
    • The Third Prize of the "Teddy Cup" Data Mining Challenge for College Students.
    • Outstanding Freshman Scholarship for Master Students, Fuzhou University.
    • Outstanding League Cadres of Fuzhou University.
    • Outstanding Student Cadres of Fuzhou University.
    • Social Work Scholarship of Fuzhou University.

Academic Service

  • Journal Reviewer:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)
    • IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
    • IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
    • Pattern Recognition (PR)
    • Engineering Applications of Artificial Intelligence (EAAI)
    • Knowledge-Based Systems (KBS)
    • Applied Intelligence (APIN)
  • Conference PC member:
    • NeurIPS 2023/2024
    • ICLR 2024/2025
    • ICML 2024
    • KDD 2024/2025
    • IJCAI 2024
    • AAAI 2025
    • CVPR 2023/2024
    • ICCV 2023/2024
    • ECCV 2024
    • ACM MM 2024

Selected Publications

  1. NeurIPS
    Perturbation learning based anomaly detection
    Jinyu Cai, and Jicong Fan
    In Advances in Neural Information Processing Systems (NeurIPS) 2022
  2. CVPR
    Efficient deep embedded subspace clustering
    Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, and Zhao Zhang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
  3. PR
    Unsupervised deep clustering via contractive feature representation and focal loss
    Jinyu Cai, Shiping Wang, Chaoyang Xu, and Wenzhong Guo
    Pattern Recognition 2022
  4. ICLR
    Deep Orthogonal Hypersphere Compression for Anomaly Detection
    Yunhe Zhang, Yan Sun, Jinyu Cai, and Jicong Fan
    In Proceedings of the Twelfth International Conference on Learning Representations (ICLR Spotlight) 2024
  5. TMM
    Wasserstein Embedding Learning for Deep Clustering: A Generative Approach
    Jinyu Cai, Yunhe Zhang, Shiping Wang, Jicong Fan, and Wenzhong Guo
    IEEE Transactions on Multimedia 2024
  6. IJCAI
    Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment
    Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, and Wenzhong Guo
    In The International Joint Conference on Artificial Intelligence (IJCAI) 2024
  7. IJCAI
    LG-FGAD: An Effective Federated Graph Anomaly Detection Framework
    Jinyu Cai, Yunhe Zhang, Jicong Fan, and See-Kiong Ng
    In The International Joint Conference on Artificial Intelligence (IJCAI) 2024
  8. MM
    Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation
    Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, and See-kiong Ng
    ACM Multimedia 2024