My current research interests lie in generative model for planning, robot learning and embodied AI.
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DexDiffuser: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
Zhixuan Liang,
Yao Mu,
Yixiao Wang,
Fei Ni,
Tianxing Chen,
Wenqi Shao,
Wei Zhan,
Masayoshi Tomizuka,
Ping Luo,
Mingyu Ding
Under Review (Submitted to CVPR 2025) [New!]
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Project page
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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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Zhihu /
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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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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
Under Review (Submitted to CVPR 2025) [New!]
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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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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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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
Under Review (Submitted to CVPR 2025) [New!]
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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
Under Review (Submitted to ACL ARR 2024) [New!]
Paper
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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
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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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Visiting Scholar, MSC Lab, University of California, Berkeley, California, CA, USA.
2024.06 - Present
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
© Zhixuan Liang | Last updated: November 2024
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