👋 About Me

Hello! I’m Haochuan Li (李浩川). 👋 I’m an Algorithm Engineer at Alibaba, working on large-scale personalized recommendation for Taobao.

🎓 I hold a master’s degree from the School of Computing, National University of Singapore (NUS), where I was fortunately mentored by Dr. Leigang Qu and Dr. Wenjie Wang, under the supervision of Prof. Tat-Seng Chua. During my master’s and undergraduate studies, I interned at ByteDance 🏢 and Microsoft 💻, where I was supervised by Dr. Nan Li.

🤖 I’m passionate about Artificial General Intelligence (AGI) and 🎵 Music. My research interests include Generative Recommendation and Large Multi-Modal Models.

🎸 My favorite artists include David Tao (陶喆), Khalil Fong (方大同), Yellow (黄宣), and Dean Ting (丁世光). I’m also a zero-shot singer and guitarist—always up for a jam session, music is life!

🚀 Let’s connect and talk about AI, music, or anything cool! 😎

🔥 News

• 2025.03:  🚀🚀 I joined as an Algorithm Engineer!
• 2025.02:  🎉🎉 One paper is accepted by CVPR 2025!
• 2025.01:  🎉🎉 One paper is accepted by ICLR 2025 as a Poster!
• 2024.03:  🔍💡 I joined as a MLLM Intern!
• 2023.12:  🎯📚 I joined as a Research Intern!
• 2022.07:  🧩🔬 I joined as a Research Intern!
• 2022.05:  💼🌍 I joined as an Applied Scientist Intern!

📝 Publications

CVPR 2025

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation

Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua

Project | Paper | Code

ICLR 2025

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models

Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, and Tat-Seng Chua

Project | Paper | Code

💻 Experience

• Working on large-scale personalized recommendation for Taobao

• Mainly works on TikTok E-commerce Large Multimodal Model pretraining & SFT and SPU/SKU ranking, in deep collaboration with search and recommendation teams.

Advisor: Prof. Tat-Seng Chua

• Mainly works on Large Multi-modal Models(LMMs) generation and retrival with Dr. Leigang Qu and Dr. Wenjie Wang

Advisor: Dr. Nan Li

• Mainly works on Fine-grained Ranking models for Windows and Edge homepage news recommendation feed which provide content services to over 1 billion Windows users.

Advisor: Bram Adams, Ahmed E. Hassan

• Mainly works on analyzing the way that MLOps has been integrated into open source projects’code base and study bugs related to the integration of MLOps with Dr. Zhimin Zhao

📖 Educations

• 2023.08 - 2025.01, MSc. in Computer Science, National University of Singapore (NUS)
• 2019.09 - 2023.06, B.S. in Telecommunication Engineering, Soochow University
• 2016.09 - 2019.09, Suzhou Industrial Park Xinghai Experimental High School

🎖 Honors and Awards

• 2023.06 Outstanding Graduate of Soochow University.
• 2022.10 Globalink Research Internship Scholarship, Globalink Mitacs Alumni.