Xueyi Liu

I am a first-year Ph.D. student in the IIIS at Tsinghua University, advised by Prof. Li Yi. Previously, I obtained my bachelor's degree in Computer Science from the CS Department, THU. My research interests center around computer vision, graphics, and embodied AI.

Email / Github / Google Scholar / Twitter

Research

	QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer Xueyi Liu, Kangbo Lyu, Jieqiong Zhang, Tao Du, Li Yi arXiv, 2024 project page / code / 🤗demo / arXiv / video / slides TL;DR: QuasiSim presents a parameterized family of quasi-physical simulators and a physics curriculum programmed from that family for transferring kinematics-only human manipulation demonstrations to dexterous robot hand simulations.
	GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion Xueyi Liu and Li Yi ICLR, 2024 project page / code / 🤗demo / arXiv / video / slides / poster TL;DR: Generalizable HOI denoising model.
	Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation Xueyi Liu, Bin Wang, He Wang, Li Yi ICCV, 2023 project page / code / arXiv / video / slides TL;DR: Few-shot articulated object generation via hierarchical deformation.
	Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance Xueyi Liu, Ji Zhang, Ruizhen Hu, Haibin Huang, He Wang, Li Yi ICLR, 2023 project page / code / arXiv / video / media (in Chinese) TL;DR: Part-level SE(3) equivariance for self-supervised articulated object pose estimation.
	AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation Xueyi Liu, Xiaomeng Xu, Anyi Rao, Chuang Gan, Li Yi CVPR, 2022 project page / code / arXiv / video TL;DR: Search for intermediate supervisions to improve the generalizability of part segmentation networks.
	Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training Xueyi Liu, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang, Junzhou Huang code / arXiv TL;DR: Sample positive instances from a hierarchical graph encoding graph instance similarities for graph contrastive learning.
	Network representation learning: A macro and micro view Xueyi Liu and Jie Tang AI Open, 2021 arXiv TL;DR: A comprehensive survey on graph representation learning.
	Understanding WeChat User Preferences and “Wow” Diffusion Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu TKDE, 2021 arXiv TL;DR: Predict WeChat users' click and ``wow'' behaviours.

Honors/Awards

Outstanding Bachelor Thesis of Tsinghua University, 2023

Outstanding Graduate of Tsinghua University, 2023

Comprehensive Excellence Scholarship, 2020,2021

Academic Excellence Scholarship, 2022

Services

Reviewer: ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV, ACM TIST

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Last updated: Apr, 2024