Yuhong Deng

Ph.D. Student, School of Computing, National University of Singapore

I am a Ph.D. student in Computer Science at the National University of Singapore, advised by Prof. David Hsu. I am currently a visiting Ph.D. student at MIT CSAIL, advised by Prof. Leslie Kaelbling and Prof. Tomás Lozano-Pérez. My research spans robot perception, learning, and planning, with the goal of building robots that generalize across diverse household manipulation tasks. Previously, I received my M.Eng. and B.Eng. from Tsinghua University in 2023 and 2020.

Email: yuhongdeng [at] comp.nus.edu.sg  ·  dengyh_work [at] outlook.com
Portrait of Yuhong Deng
Language-conditioned cloth manipulation from long demonstrations

Learning Generalizable Language-Conditioned Cloth Manipulation from Long Demonstrations

Hanyi Zhao, Jinxuan Zhu, Zihao Yan, Yichen Li, Yuhong Deng, Xueqian Wang

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

PDF| Webpage

MimicFunc: imitating tool manipulation from a single human video

MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence

Chao Tang, Anxing Xiao, Yuhong Deng, Tianrun Hu, Wenlong Dong, Hanbo Zhang, David Hsu, Hong Zhang

Conference on Robot Learning (CoRL), 2025

PDF| Webpage| Code

GSON group-based social navigation framework

GSON: A Group-based Social Navigation Framework with Large Multimodal Model

Shangyi Luo, Peng Sun, Ji Zhu, Yuhong Deng, Cunjun Yu, Anxing Xiao, Xueqian Wang

IEEE Robotics and Automation Letters (RA-L), 2025

PDF| Code

CLASP: general-purpose clothes manipulation with semantic keypoints

CLASP: General-Purpose Clothes Manipulation with Semantic Keypoints

Yuhong Deng, Chao Tang, Cunjun Yu, Linfeng Li, David Hsu

International Journal of Robotics Research (IJRR), 2026

IEEE International Conference on Robotics and Automation (ICRA), 2025

PDF (journal)| PDF (conference)| Webpage| Code

Language-conditioned deformable object manipulation with graph dynamics

Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics

Yuhong Deng, Kai Mo, Chongkun Xia, Xueqian Wang

IEEE International Conference on Robotics and Automation (ICRA), 2024

PDF| Webpage| Code

Foldsformer sequential multi-step cloth manipulation

Foldsformer: Learning Sequential Multi-Step Cloth Manipulation With Space-Time Attention

Kai Mo, Chongkun Xia, Xueqian Wang, Yuhong Deng, Xuehai Gao, Bin Liang

IEEE Robotics and Automation Letters (RA-L), 2022

PDF| Publisher| Webpage| Code

Goal-conditioned deformable object rearranging with a local GNN

Deep Reinforcement Learning Based on Local GNN for Goal-conditioned Deformable Object Rearranging

Yuhong Deng, Chongkun Xia, Xueqian Wang, Lipeng Chen

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

PDF| Publisher| Webpage

Graph-Transporter for deformable object rearranging

Graph-Transporter: A Graph-based Learning Method for Goal-conditioned Deformable Object Rearranging Task

Yuhong Deng, Chongkun Xia, Xueqian Wang, Lipeng Chen

IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022

PDF| Publisher

MQA: answering questions via robotic manipulation

MQA: Answering the Question via Robotic Manipulation

Yuhong Deng, Di Guo, Xiaofeng Guo, Naifu Zhang, Huaping Liu, Fuchun Sun

Robotics: Science and Systems (RSS), 2021

PDF| Publisher| Webpage| Code & Dataset

Interactive perception for warehouse automation

An Interactive Perception Method for Warehouse Automation in Smart Cities

Huaping Liu, Yuhong Deng, Di Guo, Bin Fang, Fuchun Sun, Wuqiang Yang

IEEE Transactions on Industrial Informatics (TII), 2021

PDF| Publisher

Deep reinforcement learning for robotic pushing and picking in clutter

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

Yuhong Deng, Xiaofeng Guo, Yixuan Wei, Kai Lu, Bin Fang, Di Guo, Huaping Liu, Fuchun Sun

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

PDF| Publisher| Webpage| Code