Xu Hang

I am a Robotics Researcher in JDT (京东科技). Previously, I worked as a Research Officer at Centre for Transformative Garment Production (TransGP) in Hong Kong SAR. I was a Honorary Postdoctoral Fellow at The University of Hong Kong (HKU), supervised by Prof. Pan Jia. I received my Ph.D. from Nanyang Technological University (NTU), Singapore, in 2023. My Ph.D. was supervised by Prof. Zinovi Rabinovich. My recent research interests mainly focus on VLA post-training for long-horizon bimanual robotic manipulation.

Publications (Selected/Full List)

* Equal contribution †Corresponding author

• Keypose Exploration: Efficient Automatic Trajectory Labelling and Cross-Embodiment Policy Transfer
  Yupu Lu, Hang Xu, Yizhou Chen, Jia Pan
  IROS, 2026

• RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator
  Kai Tang, Dipankar Bhattacharya, Hang Xu, Fuyuki Tokuda, Norman C. Tien, Kazuhiro Kosuge
  IROS, 2026

• Shared Autonomy Assisted by Impedance-Driven Anisotropic Guidance Field
  Sihan Chen, Hang Xu†, Yupu Lu, Chen Wang, Benfang Duan, Ruixing Jia, Jia Pan
  RAL, 2026

• 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]

• 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