Xiangyue Liu

PhD Candidate

Hong Kong University of Science and Technology
Clear Water Bay, Kowloon, HongKong

Email: xliufz [at] connect [dot] ust [dot] hk

Biography

I'm a second-year PhD candidate of ECE at The Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Ping Tan. I was a visiting student (RA) at Tsinghua University advised by Prof. Li Yi and Prof. Yang Gao. I obtained my M.S. in Software Engineering from Beihang University, and B.Eng in Software Engineering from Northeast Normal University. I am a member of AnySyn3D.

My research interests lie in Computer Vision and Machine Learning. From 2023, I started to do some research on generative text-driven editing for 3D/4D scenes (GenN2N, GaussianAvatar-Editor). Now, I focus on designing novel generative models, paving the way for vision language models (VLMs) and vision language action(VLA).

Feel free to contact me if you are interested in discussing or collaborating with me.

News

[11/2024] One paper was accepted by 3DV 2025 .
[02/2024] One paper was accepted by CVPR 2024 .
[09/2023] I start pursuing my Ph.D. degree at HKUST .
[06/2022] Two paper were accepted by ECCV 2022 .
[02/2022] One paper was accepted by CVPR 2022 .
[06/2021] Graduated from Beihang University .
[01/2021] One paper was accepted by ICRA 2021 .

Internship

Tencent AI Lab

Topic: Digital Avatar, Talking Head Video Generation

Sept. 2023 - Dec. 2024, Tencent AI Lab, Shenzhen, worked with Dr. Qi Zhang and Dr. Yuxin Wen

Megvii Research

Topic: NeRF, Monocular Video Reconstruction

Apr. 2022 - Aug. 2023, AIC Group, Beijing, worked with Weixin Xu, Yi Yang, and Dr. Shuchang Zhou

Topic: Deep MVS

Jun. 2021 - Apr. 2022, 3D Vision Group, Beijing, worked with Haotian Zhang and Xiao Liu

Topic: Ray-point-ray Reconstruction in Visual SLAM

Aug. 2019 - Apr. 2020, SLAM&AR Group, Beijing, worked with Dr. Yijia He and Xiao Liu

Education & Visiting

	The Hong Kong University of Science and Technology, Hong Kong PhD Candidate in Von Neumann Institute, HKUST Advisor: Prof. Ping Tan Sep. 2023 - Future
	Tsinghua University, China Research Assistant in IIIS, Tsinghua University Advisors: Prof. Li Yi and Prof. Yang Gao Aug. 2021 - Aug. 2023
	Beihang University, China Master of Software Engineering Sep. 2018 - Jun. 2021
	Northeast Normal Univesity, China Bachelor of Software Engineering Sep. 2014 - Jun. 2018

Selected Publications

*/Conference/*
	GaussianAvatar-Editor: Photorealistic Animatable Gaussian Head Avatar Edito Xiangyue Liu, Kunming Luo, Heng Li, Qi Zhang, Yuan Liu, Li Yi, Ping Tan 3DV 2025 [paper] [project page] [code]
	GenN2N: Generative NeRF2NeRF Translation Xiangyue Liu, Han Xue, Kunming Luo, Ping Tan, Li Yi CVPR 2024 [paper] [project page] [code]
	Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang ECCV 2022 [paper] [code]
	KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang ECCV 2022 [paper] [code]
	TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu CVPR 2022 [paper] [project page] [code]
	Structure Reconstruction Using Ray-Point-Ray Features: Representation and Camera Pose Estimation Yijia He, Xiangyue Liu, Xiao Liu, Ji Zhao ICRA 2021 [paper]
	2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020 Kai Jiang, Xiangyue Liu, Zhang Ju, Xiang Luo IJCAI Workshop 2020* [paper]

Honors &Awards

[06/2021] Outstanding Graduate Student of Beijing.

[08/2020] Second Place in 3D Instance Segmentation Challenge at IJCAI 2020.

[10/2016] National College Students Innovation and Entrepreneurship Training Program.

Community Services

Student Reviewers:
European Conference on Computer Vision (ECCV)
International Conference on 3D Vision (3DV)
IEEE International Conference on Robotics and Automation (ICRA)

Teaching Assistant

2024-2025	Fall	Computer Communication Networks (HKUST, ELEC3120)
2023-2024	Spring	Electronic and Information Technology (HKUST, ELEC1010)