I am a third-year PhD student in Computer Science at University of Queensland, Australia. I am currently working on model efficiency for recommender systems, advised by Assoc.Prof. Rocky Tong Chen and Prof. Hongzhi Yin.

Previously, I was a researcher and engineer at Cinnamon AI, where I led numerous client projects (e.g. CHRONUS) and various internal researches.

In 2021, I obtained my Bachelor’s Degree from the Honors Program of the Department of Information Technology, Ho Chi Minh City University of Science, Vietnam National University (VNU-HCMUS).

Research Interests: Recommender Systems, Model Efficiency, Machine Learning on Edge Devices.

I am actively looking for internship, full-time, postdoc positions, and collaborative opportunities. Feel free to reach out!

[CV]

Professional Services

• Reviewers: KDD’25
• Sub-reviewers: KDD’25, RecSys’25-26, PAKDD’25

Highlighted Publications

1. Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection []
   ACM Web Conference (WWW) 2026 (CORE A*)
   Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, and Hongzhi Yin.

2. On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective []
   ACM Web Conference (WWW) 2025 (CORE A*, Oral)
   Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, and Hongzhi Yin.

3. A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems []
   ACM Transaction on Information Systems (TOIS) 2025 (CORE A*)
   Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, and Hongzhi Yin.

Honors and Awards

1. 2nd Prize (Computer Science division) in Vietnam Annual Research Competition for Undergrad (2021)
2. Nomination for Excellent Student of Ho Chi Minh City (2021)
3. Dean’s List of HCMUS Honor Program (2020)