My current research interests lie in generative model for planning, robot learning and embodied AI.
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DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
(Formerly: DexDiffuser: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation)
Zhixuan Liang,
Yao Mu,
Yixiao Wang,
Tianxing Chen,
Wenqi Shao,
Wei Zhan,
Masayoshi Tomizuka,
Ping Luo,
Mingyu Ding
CVPR, 2025 [New!]
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Project page
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G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
Tianxing Chen*,
Yao Mu*,
Zhixuan Liang*,
Zanxin Chen,
Shijia Peng,
Qiangyu Chen,
Mingkun Xu,
Ruizhen Hu,
Hongyuan Zhang,
Ping Luo
CVPR, 2025 [New!]
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Project page
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Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
Chengyue Wu,
Zhixuan Liang,
Yixiao Ge,
Qiushan Guo,
Zeyu Lu,
Jiahao Wang,
Ying Shan,
Ping Luo
Findings of NAACL, 2025
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Dataset
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RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
Yao Mu*,
Tianxing Chen*,
Zanxin Chen*,
Shijia Peng,
Zhiqian Lan,
Zeyu Gao,
Zhixuan Liang,
Qiaojun Yu,
Yude Zou,
Mingkun Xu,
Lunkai Lin,
Zhiqiang Xie,
Mingyu Ding,
Ping Luo
CVPR, 2025 [New!]
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SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
Zhixuan Liang,
Yao Mu,
Hengbo Ma,
Masayoshi Tomizuka,
Mingyu Ding,
Ping Luo
CVPR, 2024
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Code /
Zhihu /
Video
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RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
Yao Mu,
Junting Chen,
Qinglong Zhang,
Shoufa Chen,
Qiaojun Yu,
Chongjian Ge,
Runjian Chen,
Zhixuan Liang,
Mengkang Hu,
Chaofan Tao,
Peize Sun,
Haibao Yu,
Chao Yang,
Wenqi Shao,
Wenhai Wang,
Jifeng Dai,
Yu Qiao,
Mingyu Ding,
Ping Luo
ICML, 2024
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Code
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RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation
Junting Chen,
Yao Mu,
Qiaojun Yu,
Tianming Wei,
Silang Wu,
Zhecheng Yuan,
Zhixuan Liang,
Chao Yang,
Kaipeng Zhang,
Wenqi Shao,
Yu Qiao,
Huazhe Xu,
Mingyu Ding,
Ping Luo
Under Review, 2024
Paper
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AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Zhixuan Liang,
Yao Mu,
Mingyu Ding,
Fei Ni,
Masayoshi Tomizuka,
Ping Luo
ICML, 2023 (Oral, Top 2.4%)
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Zhihu
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MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
Fei Ni,
Jianye Hao,
Yao Mu,
Yifu Yuan,
Yan Zheng,
Bin Wang,
Zhixuan Liang
ICML, 2023
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Zhihu
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MeanAP-Guided Reinforced Active Learning for Object Detection
Zhixuan Liang,
Xingyu Zeng,
Rui Zhao,
Ping Luo
Under Review, 2023
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Longitudinal Registration of Knee MRI Based on Femoral and Tibial Alignment
Zhixuan Liang,
Yin Guo,
Chun Yuan
ISMRM, 2021
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Code /
Video
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Visiting Scholar, MSC Lab, University of California, Berkeley, California, CA, USA.
2024.06 - 2025.01
Topic: Planning with Diffusion Model.
Supervised by: Prof. Masayoshi Tomizuka (NAE Member).
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Research Assistant, Vascular Imaging Lab, University of Washington, Seattle, WA, USA.
2020.06 - 2020.10
Topic: Multi-timepoint Registration of Knee MRI.
Supervised by: Yin Guo and Prof. Chun Yuan.
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Selected Honors and Awards
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- Hong Kong PhD Fellowship Scheme (HKPFS), 2022-2026
- HKU Presidential PhD Scholarship (HKU-PS), 2022-2026
- Y S and Christabel Lung Postgraduate Scholarship, 2022
- National Scholarship, 2020
- Wang Guosong Dean’s Award, Zhejiang University, 2021
- Outstanding Graduate of Zhejiang Province, 2021
- Finalist Award in Mathematical Contest in Modeling, 2020
- First Prize in Mathematics Competition of Chinese College Students, 2020
- COMP3278: Introduction to Database Management System, HKU, Fall 2023
- DASC7606: Deep Learning, HKU, Spring 2023
- Reviewer of ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, RSS.
© Zhixuan Liang | Last updated: February 2025
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