Yuhong Deng


I am a Ph.D. student in Computer Science at National University of Singapore (NUS), advised by Prof. David Hsu. My research focuses on robotic perception, learning and planning, with applications mainly on manipulation tasks for home service robots.

Previously, I received my master's and bachelor's degrees from Tsinghua University in 2023 and 2020, respectively.

Seeking Research Intern Opportunities starting Mar. 2026.
Email: yuhongdeng [AT] comp.nus.edu.sg / dengyh_work [AT] outlook.com

Github     Google Scholar     LinkedIn    

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 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: 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 (RAL 2025)
PDF   |   Code

General-purpose Clothes Manipulation with Semantic Keypoints

Yuhong Deng, David Hsu
IEEE International Conference on Robotics and Automation (ICRA 2025)
ICRA 2024 Workshop on Representing and Manipulating Deformable Objects (Best Abstract Award Finalists)
PDF   |   Webpage   |   Code

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: 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 (RAL 2022)
PDF  |  Source   |   Webpage   |   Code

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  |  Source   |   Webpage

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

Yuhong Deng, Chongkun Xia, Xueqian Wang, Lipeng Chen
International Conference on Systems, Man, and Cybernetics (IEEE SMC 2022)
PDF |  Source

MQA: Answering the Question via Robotic Manipulation

Yuhong Deng, Di Guo, Xiaofeng Guo, Naifu Zhang, Huaping Liu, and Fuchun Sun
Robotics: Science and System (RSS 2021)
PDF   |   Source   |   Webpage   |   Code and Dataset

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   |   Source

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   |   Source   |   Webpage   |   Code

2023

Award, Outstanding graduate in Tsinghua University (Top 2%). Tsinghua University.

2023

Award, Outstanding Master's Thesis in Tsinghua University (Top 5%). Tsinghua University.

2022

Scholarship, Comprehensive Excellence Scholarship (Top 5%). Tsinghua University.

2021

Award, Academic Rising Star Nominee Award (Top 0.5%). Tsinghua University.

2019

Scholarship, Academic Performance Scholarship. Tsinghua University.

2019

Scholarship, Technology Innovation Scholarship. Tsinghua University.

2019

Award, The First Prize in the 37th Challenge Cup Students. Tsinghua University.

2018

Award, The First Prize in the 20th National Robot and Artificial Intelligence Competition.

2025

1 paper has been accepted by ICRA2025!

2024

1 paper has been accepted by ICRA2024!

2023

I'm glad to join Adaptive Computing Laboratory led by Prof. David Hsu.

2023

I join National University of Singapore as a Ph.D. student.

2023

I have received my master's degree as outstanding graduate from Tsinghua University.

Journal Reviewer, RAL, JFR

Conference Reviewer, RSS, ICRA, IROS

Member, IEEE