Hong Li

Profile

Hello, my name is Li Hong, and I am currently a PhD student at Beihang University, advised by Prof. Baochang Zhang, majoring in Control Systems and Control Engineering. I also hold a Master's degree in Automation from Beihang University and a Bachelor's degree in Mechatronics Engineering from Shijiazhuang Tiedao University.

Throughout my academic journey, I have been actively involved in research, contributing to several publications in reputable conferences such as CVPR and NeurIPS. My research primarily focuses on advanced algorithms for 3D generation and neural rendering, particularly in the context of facial and object modeling.

In terms of practical experience, I have interned at notable companies, including Baidu and Momo, where I worked on cutting-edge projects involving diffusion models and generative adversarial networks. Currently, I am an algorithm engineer at Beijing Shenshu Technology, where I am engaged in research on 3D generation and video generation algorithms. I am familiar with technologies such as NeRF, 3DGS, Image to 3D, Diffusion, and Transformers.

Outside of my academic and professional pursuits, I am passionate about staying updated with the latest developments in technology and enjoy exploring new ideas. I have a strong team spirit and enjoy collaborating with others to solve complex problems. Additionally, I have been recognized with several honors, including the National Inspirational Scholarship and various awards for my academic achievements and leadership roles within student organizations.

Publications

UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation

H Li, Y Feng, S Xue, X Liu, B Zeng, S Li, B Liu, J Liu, S Han, B Zhang

CVPR 2024

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AnimateAnything: Consistent and Controllable Animation for Video Generation

G Lei, C Wang, H Li, R Zhang, Y Wang, W Xu

arXiv:2411.10836

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DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays

X Liu, Z Qiao, R Liu, H Li, J Zhang, X Zhen, Z Qian, B Zhang

ECCV 2024

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Ipdreamer: Appearance-controllable 3d object generation with image prompts

B Zeng, S Li, Y Feng, H Li, S Gao, J Liu, H Li, X Tang, J Liu, B Zhang

arXiv:2310.05375

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Bandit Interpretability of Deep Models via Confidence Selection

X Duan, H Li, P Wang, T Wang, B Liu, B Zhang

Neurocomputing 544, 126250

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Face animation with an attribute-guided diffusion model

B Zeng, X Liu, S Gao, B Liu, H Li, J Liu, B Zhang

CVPRW 2023

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FNeVR: Neural volume rendering for face animation

B Zeng, B Liu, H Li, X Liu, J Liu, D Chen, W Peng, B Zhang

NeurIPS 2022

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Optimization method based on process control of a new-type hydraulic-motor hybrid beam pumping unit

C Zhang, L Wang, H Li

Measurement 158, 107716 15 2020

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Experiments and simulation on a late-model wind-motor hybrid pumping unit

C Zhang, L Wang, H Li

Energies 13 (4), 994

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