Researcher
@ AIRIC, Tsinghua University
Beijing, China
liweize0224@gmail.com
I am currently a Research Assistant (RA) at Tsinghua University and Research Engineer Intern at TARS Robotics, co-advised by Prof. Wenchao Ding and Prof. Yilun Chen.
I am fortunate to work closely with Prof. Xiaoxiao Long from NJU, Prof. Ping Tan from HKUST and Prof. Hao Zhao from DISCOVER Lab.
Previously, I was a visiting student at Institute of Automation, Chinese Academy of Sciences in my senior year.
And I got my B.Eng. in Mechatronics Engineering from Beijing University of Civil Engineering and Architecture.
I am an active member of AnySyn3D, a non-profit research interest group comprising individuals with a strong interest in exploring research problems and cutting-edge technologies in any topics of 3D.
I am actively looking for the Robotics Ph.D opportunity in Fall 2025.
My long-term research goal is to build Embodied Intelligence with dexterous manipulation and flexible mobility. It should be able to perceive and imagine the world, and derive insights through understanding to guide its actions. Specifically, I believe the key lies in leveraging 3D visual information along with other modalities (such as images, instructions, tactile, and force feedback) to learn how to perceive, reason, and act in both virtual and physical environments. So I am currently focusing on {Robotics, 3D Vision, Graphics} for Embodied AI:
ProGEM: Probing Generalizable and Efficient Feature Fields Distillation for Multi-Task Robotic Manipulation
Weize Li,
Zhen Chen,
Robin Ananda,
Binxu Wu,
Qi Lu,
Qianyao Xu,
Jiaying Li,
Yingqing Xu.
Under Review
[Coming Soon]
PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth
Bu Jin*,
Weize Li*,
Baihan Yang,
Zhenxin Zhu,
Junpeng Jiang,
Huan-ang Gao,
Haiyang Sun,
Kun Zhan,
Hengtong Hu,
Xueyang Zhang,
Peng Jia,
Hao Zhao.
IROS 2025
[arXiv]
[Code Coming Soon]
Radiance Field-Based 3D Editing: A Survey
Weize Li*,
Tianshu Kuai*,
Huan-ang Gao,
Xiangyue Liu,
Yuhang Zheng,
Yupeng Zheng, etc.
T-PAMI 2024 Submission
[arXiv]
[Website]
TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes
Bu Jin,
Yupeng Zheng†,
Pengfei Li,
Weize Li,
Yuhang Zheng,
Sujie Hu,
Xinyu Liu,
Jinwei Zhu,
Zhijie Yan,
Haiyang Sun,
Kun Zhan,
Peng Jia,
Xiaoxiao Long,
Yilun Chen,
Hao Zhao.
ECCV 2024 (Poster)
[arXiv]
[Code]
[Special Ack. to Dave Zhenyu Chen@TUM for valuable proofreading and insightful suggestions.]
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Weize Li*,
Qiang Zhou*,
Lihan Jiang,
Guoliang Wang,
Guyue Zhou,
Shanghang Zhang,
Hao Zhao.
NeurIPS 2023 Dataset and Benchmark Track (Poster)
[arXiv]
[OpenReview]
[Code]
IRFLMDNN: Hybrid Model for PMU Data Anomaly Detection and Re-filling with Improved Random Forest and Levenberg Marquardt Algorithm Optimized Dynamic Neural Network
Miao Yu†,
Chenyu Yang*,
Weize Li*,
Weijie Du,
Jinglin Li.
Neural Computing and Application 2023
[Paper]
ICRA 2025 What Bimanuals Can Do (WBCD) Challenge
Weize Li,
Zhengxiao Han,
Lixin Xu,
Xiangyu Chen,
Harrison Bounds,
Chenrui Zhang,
Yifan Xu.
🏆The 1st Place in Table Services Track
[Website]
[Certificate]
In the Table Services track, we tackled a series of demanding tasks under strict requirements for speed, precision, and reliability: unfolding a tablecloth (deformable-object manipulation), placing a pizza onto the table (pick-and-place), and opening and closing a food storage box.
Zero1-to-Car: Finetuning Zero1-to-3 for Single Vehicle Image to 3D Generation
AIR Research Project 2023
[Coming soon]
I served / was delegated as Reviewer for NeurIPS’23, CVPR’24, IJCV, ICLR'25.
Outside of research, I enjoy playing football⚽, fitness💪 and photography📷. I am a member of the Certified Referee of the Chinese Football Association. I am also a big fan of Taylor Swift🦋.
Meet our workmates:
