About me

I’m a first year Ph.D. student in the MURGe-Lab at the University of North Carolina at Chapel Hill, advised by Prof. Mohit Bansal. Prior to joining UNC, I received my master’s degrees in Computer Science and Financial Engineering from Columbia University, where I was a member of the DVMM Lab advised by Prof. Shih-Fu Chang and a member of the ROAM Lab advised by Prof. Matei Ciocarlie and Prof. Shuran Song. I also work closely with Prof. Krzysztof Choromanski.

My recent research focuses on generative models, multimodal learning, and LLMs. I’m also broadly interested in theory-grounded algorithms for efficient machine learning.

You can find my CV here.

Feel free to email/wechat me if you would like to chat about any research ideas! :)


Publications

2023

  • (ICML 2023) Efficient Graph Field Integrators Meet Point Clouds

    Krzysztof Choromanski*, Arijit Sehanobish*, Han Lin*, Yunfan Zhao*, Eli Berger, Alvin Pan, Tetiana Parshakova, Tianyi Zhang, David Watkins, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller
    [Paper]

2022

  • (ICLR 2022) Hybrid Random Features

    Krzysztof Choromanski*, Han Lin*, Haoxian Chen*, Yuanzhe Ma*, Arijit Sehanobish*, Deepali Jain, Michael S Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller
    [Paper][Code][Video][Slides]

2021

2020

* Equal contribution.

Teaching Assistants


Academic Services

  • Conference Reviewer: ICLR 2024, ICML 2022/2023/2024; NeurIPS 2022/2023
  • Conference Volunteer: RSS 2022