I am a first-year CS Ph.D. student at the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), advised by Prof. Guiliang Liu. I received my B.Eng. in Automation (ranking in the top 2%) from Harbin Institute of Technology, Shenzhen in 2025. I have also worked as a research intern at Shanghai AI Laboratory, mentored by Ming Zhou.

My work has been published in top-tier AI and robotics venues, such as ICML, ICLR, and ICRA. These projects span robot learning, humanoid locomotion, robotic manipulation, and embodied AI.

My research focuses on building embodied agents that learn through interaction and exhibit robust behaviors in real-world environments. In particular, I am interested in reinforcement learning for robotic control, robot representation learning, and test-time steering, with the broader goal of making physical intelligence more general, reliable, and deployable.

📰 News

2026RoboFlow4D, DyGRO, and BiTrajDiff were accepted to ICML 2026.
2026HWC-Loco was accepted to ICLR 2026, and SignBot was accepted to ICRA 2026.
2025Started my Ph.D. at the School of Data Science, CUHK-Shenzhen.
2025Received my B.Eng. in Automation from Harbin Institute of Technology, Shenzhen.

📄 Selected Publications

ICLR 2026
HWC-Loco overview

HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion

Sixu Lin, Guanren Qiao, Yunxin Tai, Ang Li, Kui Jia, Guiliang Liu

A hierarchical whole-body control approach for robust humanoid locomotion across diverse terrains, robot structures, and disturbance settings.

ICML 2026
RoboFlow4D pipeline

RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation

Sixu Lin, Huaiyuan Xu, Junliang Chen, Zhuohao Li, Guangming Wang, Yixiong Jing, Sheng Xu, Runyi Zhao, Brian Sheil, Lap-Pui Chau, Guiliang Liu

A 4D flow representation and policy learning framework for robotic manipulation.

ICML 2026
DyGRO pipeline

DyGRO-VLA: Cross-Task Scaling of Vision Language Action Models via Dynamic Grouped Residual Optimization

Sixu Lin, Yunpeng Qing, Litao Liu, Ming Zhou, Ruixing Jin, Xiaoyi Fan, Guiliang Liu

A dynamic grouping residual reinforcement learning framework for adaptive embodied policies.

ICML 2026
BiTrajDiff paper thumbnail

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning

Yunpeng Qing, Yixiao Chi, Shuo Chen, Shunyu Liu, Kelu Yao, Sixu Lin, Litao Liu, Changqing Zou

A bidirectional diffusion framework for offline reinforcement learning that models both future and history trajectories from intermediate states.

ICRA 2026
SignBot pipeline

SignBot: Learning Human-to-Humanoid Sign Language Interaction

Guanren Qiao, Sixu Lin, Ronglai Zuo, Zhizheng Wu, Kui Jia, Guiliang Liu

A human-to-humanoid sign language interaction framework spanning motion retargeting, motion control, and generative interaction.

arXiv 2025
VLAC framework

A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

Shaopeng Zhai, Qi Zhang, Tianyi Zhang, Fuxian Huang, Haoran Zhang, Ming Zhou, Shengzhe Zhang, Litao Liu, Sixu Lin, Jiangmiao Pang

A vision-language-action-critic model that provides dense progress rewards and action generation for real-world robot reinforcement learning.

arXiv 2025
SMAP framework

SMAP: Self-supervised Motion Adaptation for Physically Plausible Humanoid Whole-body Control

Haoyu Zhao*, Sixu Lin*, Qingwei Ben, Minyue Dai, Hao Fei, Jingbo Wang, Hua Zou, Junting Dong

A self-supervised motion adaptation framework for physically plausible humanoid whole-body control.

ICML 2025
MASQ framework

MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion

Qi Liu, Jingxiang Guo, Sixu Lin, Shuaikang Ma, Jinxuan Zhu, Yanjie Li

A multi-agent reinforcement learning formulation that treats the legs of a single quadruped robot as cooperating agents.

💼 Experience

Nov. 2025 - Present
Research Intern
Shenzhen Loop Area Institute (SLAI)

Research internship on embodied intelligence and robotics.

Mar. 2025 - Sep. 2025
Research Intern
Shanghai AI Laboratory

Worked on vision-language-action models and reinforcement fine-tuning.

Sep. 2024 - Nov. 2024
Undergraduate Researcher
Tsinghua University

Undergraduate research on robotics and reinforcement learning.

Feb. 2024 - May 2024
Remote Research Collaborator
Georgia Institute of Technology

Remote research collaboration on embodied AI and robotics.

🎓 Education

  • 2025 - Present, Ph.D. in Computer Science, The Chinese University of Hong Kong, Shenzhen.
  • Jul. 2024 - Sep. 2024, Visiting Student, Westlake University.
  • Jul. 2023 - Sep. 2023, Visiting Student, University of Oxford.
  • 2021 - 2025, B.Eng. in Automation, Harbin Institute of Technology, Shenzhen. Rank: top 2%.

🏅 Honors & Awards

  • Dec. 2025: 🏆 Top 1.3% (ranked 6th of 463 teams) in the Tencent AI Arena Global Open Competition, Reinforcement Learning Embodied-AI Track (award: CNY 15,000).
  • 2025-2029: 🏅 Yongping Duan Scholarship (CNY 15,000/month).
  • 2023-2024: 🏅 National Scholarship (top 0.2% of students at Chinese universities).
  • 2023-2024: 🏆 The 18th National University Students Intelligent Car Race, National Second Prize.
  • 2022-2024: 🏅 First-Class Scholarship for Undergraduate Students (top 5%; awarded twice; total: CNY 12,000).
  • 2021-2022: 🏅 Second-Class Scholarship for Undergraduate Students (CNY 4,000).
  • 2021-2023: 🏅 Outstanding League Member (2 times).
  • 2021-2023: 🏅 Outstanding Student (2 times).

📘 Teaching

  • Teaching Assistant, CSC-1004: Computational Laboratory Using Java, The Chinese University of Hong Kong, Shenzhen.

🤝 Service

  • Reviewer: NeurIPS, ICML, ICLR, ICRA, IROS.