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.
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QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
Xueyi Liu , Kangbo Lyu, Jieqiong Zhang, Tao Du, Li Yi
ECCV , 2024
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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
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arXiv
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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
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arXiv
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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
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arXiv
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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
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arXiv
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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
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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
Reviewer: ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV, ACM TIST
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Last updated: July, 2024