Zhixuan Liang

Zhixuan Liang 梁志烜

Ph.D Student

Department of Computer Science

The University of Hong Kong

I am a Ph.D. student (2022-) of Computer Science at The University of Hong Kong, fortunately advised by Prof. Ping Luo and Prof. Wenping Wang (IEEE Fellow). During my PhD, I collaborate closely with Yao Mu (now at Shanghai AI Lab) and Dr. Mingyu Ding (now at UC Berkeley), working with Prof. Masayoshi Tomizuka.

Prior to that, I obtained my bachelor's degree with first place in Automation from Zhejiang University in 2021 and received an honor degree from Chu Kochen Honors College. I was a member of ACEE. In 2020, I have been a research assistant at VIL of University of Washington, supervised by Yin Guo and Prof. Chun Yuan.

Publications

My current research interests lie in generative model for planning, robot learning and embodied AI.

	SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Paper / Project page / Code [New!] / Zhihu
	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 International Conference on Machine Learning (ICML), 2024 Paper / Coming soon!
	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 (In Submission), 2024 Paper / Coming soon!
	AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo International Conference on Machine Learning (ICML), 2023 (Oral Presentation, Top 2.4%) Paper / Project page / Code / Zhihu
	MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang International Conference on Machine Learning (ICML), 2023 Paper / Project page / Zhihu
	MeanAP-Guided Reinforced Active Learning for Object Detection Zhixuan Liang, Xingyu Zeng, Rui Zhao, Ping Luo (In Submission), 2023 Paper / Coming soon!
	Longitudinal Registration of Knee MRI Based on Femoral and Tibial Alignment Zhixuan Liang, Yin Guo, Chun Yuan International Society for Magnetic Resonance in Medicine Annual Meeting (ISMRM), 2021 Paper / Code / Video

Experiences

	Research Assistant, MMLAB, University of Hong Kong, Hong Kong SAR. 2022.09 - Present Supervised by: Prof. Ping Luo and Prof. Wenping Wang.
	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.

Selected Honors and Awards

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

Teaching

COMP3278: Introduction to Database Management System, HKU, Fall 2023
DASC7606: Deep Learning, HKU, Spring 2023