Scholar
Xiangyue Liu
Google Scholar ID: m3c3jnYAAAAJ
Hong Kong University of Science and Technology (HKUST)
Citations & Impact
Citations
361
H-index
4
i10-index
3
Publications
7
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- - [10/2025] Organized the IROS 2025 workshop on Advancements for Intelligent Robotics in 4D Scenes
- - [11/2024] One paper accepted to 3DV 2025
- - [02/2024] One paper accepted to CVPR 2024
- - [09/2023] Started pursuing my Ph.D. degree at HKUST
- - Selected Publications: Plan-and-Paint: Collaborating Semantic and Noise Reasoning for Text-to-Image Generation; NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models; GaussianAvatar-Editor: Photorealistic Animatable Gaussian Head Avatar Editor; GenN2N: Generative NeRF2NeRF Translation
- - [06/2021] Outstanding Graduate Student of Beijing
- - [08/2020] Top 0.3% in 3D Instance Segmentation Challenge at IJCAI 2020 (Rank 2 out of 559)
- - [10/2016] National College Students Innovation and Entrepreneurship Training Program
Research Experience
- - Internship at Tencent AI Lab, Topic: Digital Avatar, Sept. 2023 - Dec. 2024, worked with Dr. Yuxin Wen and Dr. Qi Zhang
- - Internship at Megvii Research, Topic: NeRF, Monocular Video Reconstruction, Apr. 2022 - Aug. 2023, worked with Weixin Xu, Yi Yang, and Dr. Shuchang Zhou
- - Internship at Megvii Research, Topic: Deep MVS, Jul. 2021 - Apr. 2022, worked with Haotian Zhang and Xiao Liu
- - Internship at Megvii Research, Topic: Visual SLAM, Aug. 2019 - Apr. 2020, worked with Dr. Yijia He and Xiao Liu
Education
- - PhD Candidate of ECE at The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Ping Tan, Sep. 2023 - Present
- - Research Assistant at Tsinghua University, advised by Prof. Li Yi and Prof. Yang Gao, Aug. 2021 - Aug. 2023
- - Master of Software Engineering at Beihang University, Sep. 2018 - Jun. 2021
- - Bachelor of Software Engineering at Northeast Normal University, Sep. 2014 - Jun. 2018
Background
- - Research Interests: Broadly in computer vision, with a focus on text-to-image generation (T2I), unified understanding and generation models, multimodal large language models (MLLM), AI-generated content (AIGC), etc.
Miscellany
- - Teaching Assistant: 2025-2026 Spring, Electronic and Information Technology (HKUST, ELEC1010); 2024-2025 Fall, Computer Communication Networks (HKUST, ELEC3120); 2023-2024 Spring, Electronic and Information Technology (HKUST, ELEC1010)
- - Community Services: Workshop Organizer: IROS; Journal Reviewer: TPAMI; Conference Reviewer: ICCV, ECCV, ICRA, 3DV, ICLR
