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
- [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
- 2024.09, AISTATS 2025 Reviewer.
- 2024.08, ICLR 2025 Reviewer.
- 2024.08, 3DV 2025 Reviewer.
- 2024.05, NeurIPS 2024 Reviewer.
💬 Invited Talks
- 2023.05, HKU ELEC4544 AI and Deep Learning Course Guest Speaker.