Yixuan Wang

Yixuan Wang 汪怡暄

I am a Ph.D. student in Columbia University Computer Science Department. Before entering Columbia, I studied in University of Illinois at Urbana-Champaign Ph.D. program and earned B.S. from University of Michigan and Shanghai Jiao Tong University.

I am working on the robotic manipulation under the supervision of Prof. Yunzhu Li. I was also lucky to work under the supervision of Prof. Katie Driggs-Campbell, Dr. Dale McConachie, Prof. Dmitry Berenson, and Prof. Audrey Sedal.

yixuan [at] cs [dot] columbia [dot] edu / GitHub / LinkedIn / X / GScholar

News

[Sept. 2024] Transfer from UIUC to Columbia University!
[Sept. 2024] Three papers accepted to CoRL 2024!
[Apr. 2024] One paper accepted to RSS 2024!
[Feb. 2024] One paper accepted to ICRA 2024!
[Feb. 2024] Started my internship at Boston Dynamics AI Institute.
[Sept. 2023] One paper accepted to CoRL 2023!
[Apr. 2023] One paper accepted to RSS 2023!
[May 2022] Started my internship at Everyday Robots!

Research

I'm interested in robotics, perception, manipulation and robot learning. Here are lists of research projects I have done.

	D³Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li CoRL, 2024 Oral Presentation website / paper / code / bibTex
	Open X-Embodiment: Robotic Learning Datasets and RT-X Models Open X-Embodiment Collaboration ICRA, 2024 Best Conference Paper Award project / paper / blogpost / code / data / bibTex
	Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, and Katherine Driggs-Campbell CoRL, 2023 Finalist - Best Paper/Best Student Paper Awards (Top 1%) project & video / paper / code / bibTex
	Dynamic-Resolution Model Learning for Object Pile Manipulation Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell, Li Fei-Fei, Jiajun Wu RSS, 2023 Best Paper Award at IROS 2023 Workshop on Learning Meets Model-based Methods for Manipulation and Grasping [Link] website / paper / code / bibTex
	Tracking Partially-Occluded Deformable Objects while Enforcing Geometric Constraints Yixuan Wang, Dale McConachie, Dmitry Berenson ICRA, 2021 paper / video / code / talk

Tools

During my spare time, I enjoy building some small tools for research and daily life. Here are some of them.

OpenAI TTS: A GUI to convert text to speech using OpenAI API

PyTorch MPC: A modular library for MPC implementation using PyTorch

Video Compressor: A script wrapping around ffmpeg to convert video and compress video to a target file size. It is handy and can keep video as clear as possible when submitting video material to conference.

Teaching & Service

Conference Reviewer: ICRA, IROS, AAAI, CVPR, CoRL

Journal Reviewer: Autonomous Robots, Robotics and Automation Letters

Teaching Assistant: Robot Learning, Senior Design Lab, Random Process @ UIUC. Honor Physics I, Honor Calculus II @ SJTU

Honor and Awards

Harriett & Robert Perry Fellowship, 04/2023.

Silver Medal for Capstone Design, 08/2021.

Shanghai Excellent Gradudate (Top 5%), 08/2021.

University Honors, 09/2019, 04/2020.

Dean's List, 12/2019.

Jackson and Muriel Lum Scholarship, 09/2019.

SJTU Undergraduate Excellent Scholarship (Top 10%), 08/2018, 08/2019.

Bronze Medal in University Physics Competition, 01/2019.

National Encouragement Scholarship, Ministry of Education of China, 09/2018.

The John Wu & Jane Sun Sunshine Scholarship, 09/2018.

SJTU Outstanding Student, 09/2018.

The Yu Liming Scholarship, 12/2017.

Misc.

I learned Go when I was a kid, and I earned Go 3 dan (amateur).

I am a super fan of Cantonese pop songs and would like to learn speaking Cantonese.

Updated at October 2023. Thanks Jon Barron for this amazing template.