Yuhong Deng (邓宇鸿)

How to pronounce?

I am a first-year 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 control, with applications mainly on robotic manipulation.

Previously, I received master's degree in Artifical Intelligence at Tsinghua University in 2023, advised by Prof. Xueqian Wang. I received my bachelor's degree in Mechanical Engineering (Elite Program) at Tsinghua University in 2020, while I was a research assistant at the department of computer science, Tsinghua University from 2017 to 2020, working with Prof. Huaping Liu. I have interned in Tencent and Shanghai AI Lab etc.

Feel free to reach out for collaboration and discussion of research ideas.
Email: yuhongdeng [AT] comp.nus.edu.sg / dengyh_work [AT] outlook.com

Github     Google Scholar     LinkedIn     Resume (usually out-dated)     Personality

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)
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Learning visual-based deformable object rearrangement with local graph neural networks

Yuhong Deng, Lipeng Chen, Xueqian Wang
Complex & Intelligent Systems 2023
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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)
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Deep Reinforcement Learning Based on Local GNN for Goal-conditioned Deformable Object Rearranging

Yuhong Deng, Chongkun Xia, Xueqian Wang, and 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, and 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)
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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, and 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.

2023

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.

2023

Reviewer, RAL

2019+

Reviewer, ICRA, IROS

Member, IEEE