Xiaolong Huang

I am a research master student (Jan. 2025 – now) at Mila and Concordia University, working on learned optimization with Prof. Eugene Belilovsky.

I am also an enthusiastic learner, actively exploring the scaling of vision-language models, and world models.

Feel free to reach out for interesting discussions and potential collaborations.

Studying AI is a continual pursuit of deeper understanding and self-transcendence.

Papers

Efficient Long-Horizon Learning for Learned Optimization. Xiaolong Huang, Benjamin Therien, James Harrison, Eugene Belilovsky. Preprint. paper / project page / code

MuLoCo: Muon is a practical inner optimizer for DiLoCo. Benjamin Therien, Xiaolong Huang, Aaron Defazio, Irina Rish, Eugene Belilovsky. ICML'26. paper / project page / code

One step learning, one step review. Xiaolong Huang, Qiankun Li, Xueran Li, Xuesong Gao. AAAI'24. paper / code

Data-efficient masked video modeling for self-supervised action recognition. Qiankun Li, Xiaolong Huang, Zhifan Wan, Lanqing Hu, Shuzhe Wu, Jie Zhang, Shiguang Shan, Zengfu Wang. ACM MM'23. paper

2nd place solution to Google Universal Image Embedding. Xiaolong Huang, Qiankun Li. ILR Workshop, ECCV'22. Oral. paper / code / competition

2022 Oct.

Oral presentation at ILR Workshop, ECCV'22.

Reviewer

NeurIPS, AAAI