I am currently a Ph.D. student (since Fall 2023) in the Department of Electrical and Electronic Engineering at The University of Hong Kong (HKU)
.
Prior to joining HKU, I received my M.S. degree in Big Data Engineering from the Department of Automation and Shenzhen International Graduate School at Tsinghua University (THU)
, and my B.S. degree in Electronic and Information Engineering from Nanjing University of Science and Technology (NJUST)
.
I am fortunate to be under the guidance of Dr. Yifan (Evan) Peng from the WeLightLab@HKU in the EEE&CS department at HKU and advised by Prof. Kai Zhang from the Intelligent Transportation Joint Laboratory at Tsinghua University.
My research interests encompass Computer Vision (3D/4D), Computer Graphics (Rendering), VR/AR/MR, and Holographic Imaging/Display.
🔬 Research Focus
My research interests lie at the intersection of Computer Vision, Computer Graphics, and Artificial Intelligence. I focus on enabling machines to perceive, understand, and generate photorealistic 3D/4D visual content. Specifically, my work concentrates on the following areas:
🎨 3D/4D Reconstruction & Generation
- Neural Representations: Neural Radiance Fields (NeRF) and 3D Gaussian Splatting for high-fidelity scene modeling
- Dynamic Scenes: 4D reconstruction with enhanced velocity field modeling for video sequences
- Physics-based Generation: Material-agnostic system identification and physically correct video synthesis
- Event-based Vision: Event camera rendering and dynamic scene reconstruction using event streams
🤖 Vision-Language & Multimodal AI
- Visual-Language-Action Models: Embodied AI for robotics and interactive systems
- Video Understanding: Temporal modeling and action recognition in dynamic scenes
- Cross-modal Learning: Bridging vision, language, and action spaces
🖼️ Computational Imaging & Holography
- Holographic Display: Computer-generated holography with camera-calibrated neural networks
- 3D Imaging: Multi-view stereo, depth estimation, and 3D scene understanding
- Feature Matching: Overlapping region-based techniques for robust image correspondence
🔥 News
- 2025.08: 📄 One paper on Event Camera Rendering (EventTracer) is released on arXiv, exploring path tracing-based event stream rendering!
- 2025.07: 🏆 One paper on 4D Gaussian Splatting is accepted to ISMAR 2025! This work focuses on enhanced velocity field modeling for video reconstruction.
- 2025.07: 🏆 One paper on Physically Correct Video Generation is accepted to ICCV 2025! Material-agnostic system identification from videos.
📝 Publications
🎯 Selected Publications (* indicates equal contribution)
2025
Toward Material-Agnostic System Identification from Videos
Yizhou Zhao, Haoyu Chen, Chunjiang Liu, Zhenyang Li, Charles Herrmann, Junhwa Hur, Yinxiao Li, Ming-Hsuan Yang, Bhiksha Raj, Min Xu.
Enhanced Velocity Field Modeling for Gaussian Video Reconstruction
Zhenyang Li*, Xiaoyang Bai*, Tongchen Zhang, Pengfei Shen, Weiwei Xu, Yifan Peng.
EventTracer: Fast Path Tracing-based Event Stream Rendering
Zhenyang Li*, Xiaoyang Bai*, Jinfan Lu, Pengfei Shen, Yifan Peng.
Learning Fast Real-world Dynamics with Event-RGB Fused Gaussians (Preprint Coming Soon)
Xiaoyang Bai*, Zhenyang Li*, Weiwei Xu, Edmund Y. Lam, Yifan Peng.
ORBIT: Overlapping Region-Based Image Feature Matching Technique (Preprint Coming Soon)
Qi Luo*, Zhenyang Li*, Linsong Xue, Haojie Wu, Yifan Peng, Kai Zhang.
2024
3D-HoloNet: Fast, unfiltered, 3D hologram generation with camera-calibrated network learning
Wenbin Zhou, Feifan Qu, Xiangyu Meng, Zhenyang Li, Yifan Peng
CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models
Yizhou Zhao, Hengwei Bian, Michael Mu, Mostofa R. Uddin, Zhenyang Li, Xiang Li, Tianyang Wang, Min Xu.
Point Resampling and Ray Transformation Aid to Editable NeRF Models
Zhenyang Li*, Zilong Chen*, Feifan Qu, Mingqing Wang, Yizhou Zhao, Kai Zhang, Yifan Peng.
2023
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System
Zhenyang Li*, Yancheng Dong*, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang.
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers
Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang.
2022
Alignment-guided Temporal Attention for Video Action Recognition
Yizhou Zhao*, Zhenyang Li*, Xun Guo, Yan Lu.
Adaptive Range guided Multi-view Depth Estimation with Normal Ranking Loss
Yikang Ding*, Zhenyang Li*, Dihe Huang, Kai Zhang, Zhiheng Li, Wensen Feng.
Enhancing multi-view stereo with contrastive matching and weighted focal loss
Yikang Ding*, Zhenyang Li*, Dihe Huang, Zhiheng Li, Kai Zhang.
🎖 Honors and Awards
🏆 Competitions
-
2023.12 Champion 🥇, Guangdong-Hong Kong-Macao Greater Bay Area (Huangpu) International Algorithm Case Competition
Topic: Three-dimensional reconstruction of objects using neural implicit representation -
2020.04 Top 7/256 🥈, High-energy particle collision classification challenge, Beindata
-
2019.05 Second Prize 🥉, American College Student Mathematical Modeling Contest (MCM)
💰 Scholarships & Academic Honors
- 2017 TE Connectivity Scholarship (Top 1/600), Beijing SMC Education Foundation Outstanding Scholarship Special Award (Top 1/600), Second Prize in National Mathematics Competition for College Students
📖 Educations
-
🎓 Ph.D. in Electrical and Electronic Engineering | 2023.09 - Present
The University of Hong Kong (HKU)
Advisor: Dr. Yifan (Evan) Peng -
🎓 M.S. in Big Data Engineering | 2020.09 - 2023.07
Tsinghua University (THU)
Department of Automation & Shenzhen International Graduate School
Advisor: Prof. Kai Zhang -
🎓 B.S. in Electronic and Information Engineering | 2016.09 - 2020.07
Nanjing University of Science and Technology (NJUST)
School of Electronic and Optical Engineering
💻 Internships
-
🏢 Research Intern | Oct. 2025 - Present
Tencent LIGHTSPEED STUDIOS, Shenzhen, Guangdong, China
Research Focus: Multimodal & 3D Content Generation and Simulation -
🏢 Research Intern | Jul. 2022 - Nov. 2022
Megvii Technology Limited (Face++), Beijing, China
Research Focus: Visual Odometry, NeRF, Multi-View Stereo (MVS), Feature Matching -
🏢 Research Intern | Nov. 2021 - May. 2022
Microsoft Research Asia (MSRA), Beijing, China
Research Focus: Video Understanding, Learning-based Computer Vision -
🏢 Artificial Intelligence Researcher | Mar. 2021 - Sep. 2021
Huawei Technologies Co., Ltd., Shenzhen, Guangdong, China
Research Focus: 3D Reconstruction, Visual Localization
🧑⚖️ Academic Services
Conference Reviewer
2026
- CVPR 2026, 3DV 2026
2025
- SIGGRAPH Asia 2025 (XR Track), ICCV 2025, ISMAR 2025
- NeurIPS 2025 (Main + Datasets and Benchmarks), ICML 2025, ICLR 2025
- ACM MM 2025, AISTATS 2025, ACML 2025, 3DV 2025
2024
- NeurIPS 2024
💬 Invited Talks & Teaching
-
🎤 Workshop Organizer & Speaker | Dec. 2025
WeLight Workshop, The University of Hong Kong
Organized by WeLightLab@HKU -
🎤 Guest Lecturer | May 2023
ELEC4544: AI and Deep Learning, The University of Hong Kong
Invited by Dr. Yifan (Evan) Peng