Xu Hang

I am a Robotics Researcher in JDT (京东科技), where I am responsible for the development and deployment of advanced bimanual manipulation systems. Previously, I worked as a Research Officer at Centre for Transformative Garment Production (TransGP) and a Honorary Postdoctoral Fellow at The University of Hong Kong (HKU), supervised by Prof. Pan Jia. I received my Ph.D. from School of Computer Science and Engineering (SCSE) in Nanyang Technological University (NTU), Singapore, in 2023. My Ph.D. was supervised by Prof. Zinovi Rabinovich. My recent research interests mainly focus on the intersection of robotic manipulation and machine learning, especially reinforcement learning and VLA post-training.

Publications (Selected/Full List)

* Equal contribution †Corresponding author

• BiKC+: Bimanual Hierarchical Imitation with Keypose-Conditioned Coordination-Aware Consistency Policies
  Hang Xu, Yizhou Chen, Dongjie Yu, Yi Ren, Jia Pan
  TASE, 2025 [arxiv] [code]

• RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator
  Kai Tang, Dipankar Bhattacharya, Hang Xu, Fuyuki Tokuda, Norman C. Tien, Kazuhiro Kosuge
  Submitted to ICRA 2025.

• SViP: Sequencing Bimanual Visuomotor Policies with Object-Centric Motion Primitives
  Yizhou Chen, Hang Xu, Dongjie Yu, Zeqing Zhang, Yi Ren, Jia Pan
  RSS, Workshop on Out-of-Distribution Generalization, 2025

• BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation
  Dongjie Yu*, Hang Xu*, Yizhou Chen, Yi Ren, Jia Pan
  WAFR, 2024 [code]

• Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents?
  Ridhima Bector, Hang Xu, Abhay Aradhya, Chai Quek, Zinovi Rabinovich
  IJCAI, 2023

• Spiking pitch black: Poisoning an Unknown Environment to Attack Unknown Reinforcement Learners
  Hang Xu, Xinghua Qu, Zinovi Rabinovich
  AAMAS, 2022

• Policy Resilience to Environment Poisoning Attack on Reinforcement Learning
  Hang Xu, Xinghua Qu, Zinovi Rabinovich
  NeurIPS, Machine Learning Safety Workshop, 2022

• Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning
  Hang Xu, Rundong Wang, Lev Raizman, Zinovi Rabinovich
  AAMAS, 2021