I am currently a Ph.D. student enrolled in the Fall 2023 semester in the Department of Electrical and Electronic Engineering at The University of Hong Kong (HKU).

Prior to joining HKU, I pursued my Master’s (MS) degree in the Department of Automation and Shenzhen International Graduate School at Tsinghua University (THU), specializing in big data engineering and exploring the field of computer vision for a duration of three years. I also hold a Bachelor’s (BS) degree in Electronic and Information Engineering from the School of Electronic and Optical Engineering at 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 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.

Currently, my work focuses on 3D/4D Scenes & Objects Reconstruction / Generation, with the applications in VR/AR/MR.

🔥 News

• 2023.09:  🎉🎉 I join WeLightLab@HKU as a Ph.D. researcher!
• 2023.05: I get a chance to give a guest lecture in HKU by Yifan (Evan) Peng.

📝 Publications

• [Under review] EventTracer: Fast Path Tracing-based Event Stream Rendering Zhenyang Li*, Xiaoyang Bai*, Jinfan Lu, Pengfei Shen, Yifan Peng.
• [Under review] ORBIT: Overlapping Region-Based Image Feature Matching Technique Qi Luo*, Zhenyang Li*, Linsong Xue, Haojie Wu, Yifan Peng, Kai Zhang.
• [ICCV 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.
• [Under review] Enhanced Velocity Field Modeling for Gaussian Video Reconstruction Zhenyang Li*, Xiaoyang Bai*, Tongchen Zhang, Weiwei Xu, Yifan Peng.
• [Under review] Learning Fast Real-world Dynamics with Event-RGB Fused Gaussians Xiaoyang Bai*, Zhenyang Li*, Weiwei Xu, Edmund Y. Lam, Yifan Peng.
• [Optics Letter] 3D-HoloNet: Fast, unfiltered, 3D hologram generation with camera-calibrated network learning Wenbin Zhou, Feifan Qu, Xiangyu Meng, Zhenyang Li, Yifan Peng
• [MICCAI 2024] 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.
• [Arxiv 2024] Point Resampling and Ray Transformation Aid to Editable NeRF Models, Zhenyang Li*, Zilong Chen*, Feifan Qu, Mingqing Wang, Yizhou Zhao, Kai Zhang, Yifan Peng.
• [WWW 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.
• [ICIP 2023] 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.
• [NeurIPS 2022] Alignment-guided Temporal Attention for Video Action Recognition, Yizhou Zhao*, Zhenyang Li*, Xun Guo, Yan Lu.
• [ACCV 2022] Adaptive Range guided Multi-view Depth Estimation with Normal Ranking Loss, Yikang Ding*, Zhenyang Li*, Dihe Huang, Kai Zhang, Zhiheng Li, Wensen Feng.
• [ICIP 2022] Enhancing multi-view stereo with contrastive matching and weighted focal loss, Yikang Ding*, Zhenyang Li*, Dihe Huang, Zhiheng Li, Kai Zhang.

🎖 Honors and Awards

• 2023.12 Guangdong-Hong Kong-Macao Greater Bay Area (Huangpu) International Algorithm Case Competition [Three-dimensional reconstruction of objects using neural implicit representation], Final champion.
• 2020.04 The high-energy particle collision classification challenge’ on Beindata (7/256).
• 2019.05 American College Student Mathematical Modeling Contest H (Second Prize).
• 2017.12 TE Connectivity Scholarship (1/600).
• 2017.11 Beijing SMC Education Foundation Outstanding Scholarship Special Award (1/600).
• 2017.11 National mathematics competition for college students (Second prize).

📖 Educations

• 2023.09 - now, Ph.D., The University of Hong Kong, Hong Kong (China).
• 2020.09 - 2023.07, Master, Tsinghua University, Beijing.
• 2016.09 - 2020.07, Undergraduate, Nanjing University of Science and Technology, Nanjing, Jiangsu.

💻 Internships

• 2022.07 - 2022.11, Research Intern, Megvii Technology Limited, Beijing, China. Visual odometer, NeRF, MVS, Feature matching.
• 2021.11 - 2022.05, Research Intern, Microsoft Research Asia, Beijing, China. Video-understanding, Learning-based Computer Vision.
• 2021.03 - 2021.09, Artificial Intelligence Researcher, Huawei Technologies Co., Ltd., Shenzhen, Guangdong, China. 3D Reconstruction, Visual Localication.

🧑‍⚖️ Official Reviewer

• 2025.06 ACML 2025, NeurIPS 2025 Datasets and Benchmarks Track
• 2025.04, ICCV 2025, ISMAR 2025
• 2025.02, ACM MM 2025, NeurIPS 2025.
• 2024.12, ICML 2025.
• 2024.09, AISTATS 2025.
• 2024.08, ICLR 2025.
• 2024.08, 3DV 2025.
• 2024.05, NeurIPS 2024.

💬 Invited Talks

• 2023.05, HKU ELEC4544 AI and Deep Learning Course Guest Speaker.