Jinyu Cai
蔡锦煜, Postdoc, Institute of Data Science, National University of Singapore
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. |
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Apr 17, 2024 | Three papers have been accepted by IJCAI 2024 (CCF-A)! Many thanks to my collaborators. |
Feb 7, 2024 | One paper has been accepted by TMM (SCI Q1, CCF-B)! Many thanks to my collaborators. |
Jan 16, 2024 | One paper has been accepted by ICLR2024 (Spotlight)!! Congrats to Yunhe and other collaborators. |
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! |
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! |
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