Portrait

Yufei Ding | 丁昱菲

Zhi Class @ PKU · Robotics & 3D Vision · Community Builder

Email / Github / ACIST / quote of the day

About

I am a senior in Zhi Class at the School of EECS of Peking University, where I lead the Academic Committee of Intelligence Science and Technology (ACIST). I major in Artificial Intelligence, with GPA ranking 1st. I am currently advised by Prof. He Wang at Embodied Perception and InteraCtion (EPIC) Lab, and Prof. Jeannette Bohg at Interactive Perception and Robot Learning Lab (IPRL). I was previously an intern at Shanghai Artificial Intelligence Laboratory and GALBOT. My research interest lies in robotics and 3D vision, with the goal of enabling embodied agents to tackle complex tasks in 3D environments.

Research

sofar teaser
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation
Zekun Qi*, Wenyao Zhang*, Yufei Ding*, Runpei Dong, Xinqiang Yu, Jingwen Li, Lingyun Xu, Baoyu Li, Xialin He, Guofan Fan, Jiazhao Zhang, Jiawei He, Jiayuan Gu, Xin Jin, Kaisheng Ma, Zhizheng Zhang, He Wang, Li Yi
Paper / Project Page / Code / Huggingface

NeurIPS 2025 Spotlight

We introduce semantic orientation and propose a multi-modal model that facilitates spatial understanding in robot manipulation.

Open6DOR teaser
Open6DOR: Benchmarking Open-instruction 6-DoF Object Rearrangement and A VLM-based Approach
Yufei Ding*, Haoran Geng*, Chaoyi Xu, Xiaomeng Fang, Jiazhao Zhang, Songlin Wei, Qiyu Dai, Zhizheng Zhang, He Wang†
Paper / Project Page / Code / Video / Bibtex

IROS 2024 Oral Presentation
CVPR 2024 @ VLADA Oral Presentation
ICRA 2024 @ 3D Manipulation Spotlight

We present Open6DOR, a benchmark and zero-shot method for open-instruction 6-DoF object rearrangement, integrating 3D awareness to enable complex manipulation.

RoboVerse teaser
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
RoboVerse Team
Paper / Project / Code
RSS 2025

We propose RoboVerse, a comprehensive framework for advancing robotics through a simulation platform, synthetic dataset, and unified benchmarks.

DexGraspNet 2.0 teaser
DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes
Jialiang Zhang*, Haoran Liu*, Danshi Li*, Xinqiang Yu*, Haoran Geng, Yufei Ding, Jiayi Chen, He Wang†
Project
CoRL 2024

We synthesized a large-scale dexterous grasping dataset in cluttered scenes and designed a generative framework to learn grasping in the real world.

Simulately teaser
Simulately: Handy information and resources for physics simulators for robot learning research.
Haoran Geng, Yuyang Li, Yuzhe Qin, Ran Gong, Wensi Ai, Yuanpei Chen, Puhao Li, Junfeng Ni, Zhou Xian, Songlin Wei, Yang You, Yufei Ding, Jialiang Zhang
Website / Github
Open-source Project · Selected into CMU 16-831t

We build an open platform that gathers comprehensive information of robotics and physics simulators for cutting-edge robot learning research.



Experience
Stanford University
2025.06 - Present
Visiting Scholar through the UGVR Program
Research Advisor: Prof. Jeannette Bohg
University of California, Berkeley
2025.01 - 2025.05
Visiting Student
Research Institute: BAIR
GALBOT
2023.10 - 2025.01
Research Intern
Research Advisor: He Wang
Shanghai Artificial Intelligence Laboratory
2023.06 - 2023.09
Summer Research Intern
Research Team: OpenMMLab
Zhi Class
2022.09 - Present
Class Leader
GPA Ranking : 1st
Academic Advisor: Prof. Baoquan Chen
Peking University (PKU)
2022.09 - Present
Undergraduate Student
Major: Intelligence Science and Technology (Artificial Intelligence)

Honors and Awards

  • 2025: Sky9 Fellowship, Sky9

  • 2024: Huatai Securities Technology Scholarship

  • 2024: Outstanding Student Leader of Peking University

  • 2024: SenseTime Scholarship (Youngest)

  • 2024: Outstanding Presentation Award @ School of EECS Research Exhibition

  • 2023: SenseTime Scholarship - Most Promising Award

  • 2023: Exceptional Award for Academic Innovation of Peking University (Youngest)

  • 2023: National Scholarship (Highest honor for undergraduates)

  • 2023: Merit Student of Peking University

  • 2023: Grand Finalist in Peking University Pro-Am English Debate Competition

  • 2023: Second Prize in Ubiquant Programming Competition

  • 2022: Peking University Freshman Scholarship

  • 2022: Outstanding Graduate Award of Shenzhen Middle School

  • 2020: First Prize in Chinese Physics Olympiad (CPhO), Guangdong Province

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    Service

  • Leader of Zhi Class, Cofounder of its wechat public account and website

  • Chairman of the Academic Committee of Intelligence Science and Technology (ACIST)

  • Founder of the EECS Survival Manual, which assists students at Peking University in exploring and achieving their goals by offering comprehensive information and guidance

    • Founding member of NodeAI, a public community that connects top-tier AI learners, practitioners and leaders.

    Reviewer of multiple conferences and workshops.


    Miscellaneous

    Apart from academic studies and research, I have a wide range of interests, including dancing, piano, and English debates.

  • I'm a member of FL Dance Crew at Peking University.

  • I have been playing the piano🎹 for 10+ years and has earned Distinction in ABRSM Practical Grade 8 (highest level), as well as multiple awards in piano competitions.

  • I enjoy English debate🎤, and I'm a member of SpeechCrafter at Peking University. I was awarded Grand Finalist in 2023 PKU Pro-Am English Debate Competition with my partner Tianhua Yang.

  • I have a real passion for reading📚, with particular interests in British literature, sociology, and philosophy. I founded a Reading Club at Peking University, where we organize regular reading workshop and invite distinguished scholars to deliver lectures & host discussions. We're actively looking for participants (both readers and speakers) on a broad range of reading topics, so please feel free to contact me if you're willing to join! Previous workshops could be found here.

  • We host the Zhi Talk series, inviting scholars from both academia and industry to share their research and personal experiences. If you're seeking an open platform to share your ideas, join us and make your voice heard!

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