Xiaolong Huang

Hey, I am Xiaolong Huang (黄晓龙), an MSc student (Jan. 2025 - now) at MILA and Concordia University. Currently I am working on learned optimization (LO) under the supervision of Prof. Eugene Belilovsky.

I am also deeply interested in exploring and interpreting visual and multimodal representations, especially in how to create faithful and robust representations and effectively leverage them for downstream learning. Always open to research discussions and collaborations, feel free to reach out!

Email  /  Google Scholar  /  Github

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Research
microflakes Towards Robust Unroll Generalization in Learned Optimizers
Xiaolong Huang, Benjamin Therien, Eugene Belilovsky

NeurIPS 2025 OPT Workshop
paper

microflakes Advancing Micro-Action Recognition with Multi-Auxiliary Heads and Hybrid Loss Optimization
Qiankun Li, Xiaolong Huang, Huabao Chen, Feng He, Qiupu Chen, Zengfu Wang

ACMMM, 2024
paper / code

microflakes One Step Learning, One Step Review
Xiaolong Huang, Qiankun Li, Xueran Li, Xuesong Gao

AAAI, 2024
paper / code

microflakes Mitigating Context Bias in Action Recognition via Skeleton-Dominated Two-Stream Network
Qiankun Li, Xiaolong Huang, Yuwen Luo, Xiaoyu Hu, Xinyu Sun, Zengfu Wang

AMC-SME Workshop, ACMMM, 2023 (Best Student Paper Award)
paper

microflakes 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

ACMMM, 2023
paper

microflakes 2nd Place Solution to Google Universal Image Embedding
Xiaolong Huang, Qiankun Li

ILR Workshop, ECCV, 2022 (Oral)
paper / code / Competition Link


Folked from Jon Barron's website.