Short Bio
I am Yifan Song, a Ph.D. candidate in the Data Science and Analytics Thrust, Information Hub, at The Hong Kong University of Science and Technology (Guangzhou), under the supervision of Jing Tang and JingLei Yang. My research focuses on the following topics:
- Low-Rank Matrix Approximation
- Large-Scale Graph Embeddings
- Graph Neural Networks
- Efficient LLM
Publication
Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph
Yifan Song, Xiaolong Chen, Wenqing Lin, Jia Li, Cheng Zhang, Yan Zhou, Lei Chen, Jing Tang
51st International Conference on Very Large Data Bases. (VLDB 2025)
[Paper] [Code]
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang
International Conference on Computer Vision 2025 (ICCV 2025)
[Paper]
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen *, Yihong Luo *, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao
The Thirteenth International Conference on Learning Representations (ICLR 2025)
[Paper]
Link Recommendation to Augment Influence Diffusion with Provable Guarantees
Xiaolong Chen, Yifan Song, Jing Tang
Proceedings of the ACM Web Conference 2024. (WWW2024)
[Paper]
Dynamic Network Embedding By Time-Relaxed Temporal Random Walk
Yifan Song, Darong Lai, Zhihong Chong, Zeyuan Pan
Neural Information Processing: 28th International Conference. (ICONIP 2021)
[Paper]
(* denotes co-first authors)
Education
- 2018 — 2022: B.Sc. in Computer Science and Technology, Southeast University
Honors and Awards
- Gold Medal, The 2021 ICPC Asia Regional Contest, Nanjing Site, China
- Silver Medal, The 2020 CCPC, Mianyang Site, China
- Gold Medal, The 2020 Jiangsu Collegiate Programming Contest(JSCPC), China
- Silver Medal, The 2019 ICPC Asia Regional Contest, Nanchang Site, China
- Silver Medal, The 2018 ICPC Asia Regional Contest, Xuzhou Site, China
Experience
- Internship, Tencent Lightspeed & Quantum Studios Group
- Research Assistant, SEU MOE Key Lab