Welcome to my homepage
Biography
I am an incoming Ph.D. student in Computer Science at School of Computing, National University of Singapore, fully supported by President’s Graduate Fellowship. Recently, I received my Master degree in Computer Technology at Tsinghua Shenzhen International Graduate School, Tsinghua University, supervised by Prof. Chun Yuan. My research interests are in Computer Vision and Computer Graphics. Before that, I received my Bachelor degree in Software Engineering from School of Computer Science & Technology, Beijing Institute of Technology.
Click here to find my up-to-date CV.
Education
- 2023.08 - 2027.07 (Expected) - Ph.D. Candidate in Computer Science at School of Computing, National University of Singapore.
- Research Topics: Computer Vision, Computer Graphics, Multimedia, Machine Learning.

- 2020.09 - 2023.07 - Master in Computer Technology at Tsinghua Shenzhen International Graduate School, Tsinghua University, supervised by Prof. Chun Yuan.
- GPA: 3.74/4.00
- Research Topics: Computer Vision, Computer Graphics, Machine Learning.

- 2016.09 - 2020.07 - Bachelor in Software Engineering at School of Computer Science & Technology, Beijing Institute of Technology.
- GPA: 90.97/100 (Top 1%)

Work Experience
- 2022.05 - 2023.03 - Research Intern at Microsoft Research Asia, Machine Learning Group, Beijing, China.
- Supervised by Xu Tan and Tianyu He.
- Research Topics: Talking Face Generation, 3D Face Reconstruction.

- 2021.03 - 2022.05 - Research Intern at Tencent AI Lab, Digital Human Team, Shenzhen, China.
- Supervised by Linchao Bao and Haoxian Zhang.
- Research Topics: 3D Face Reconstruction, 3D Face Modeling & Evaluation.

- 2019.12 - 2020.05 - Software QA Intern at MEGVII, Beijing, China.

Publications and Preprints
'*' indicates equal contributions.
Towards Effective Collaborative Learning in Long-Tailed Recognition
Zhengzhuo Xu*, Zenghao Chai*, Chengyin Xu, Chun Yuan, Haiqin Yang
arXiv, 2023.
arXiv
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrušaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian
arXiv, 2023.
arXiv
Page
Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
Chen Tang, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Zhi Wang
arXiv, 2023.
arXiv
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan
arXiv, 2023.
arXiv
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
arXiv
Code
PDF
Supplementary
Poster
HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
Chengyin Xu*, Zenghao Chai*, Zhengzhuo Xu*, Hongjia Li, Qiruyi Zuo, Lingyu Yang, Chun Yuan.
IEEE Transactions on Multimedia (TMM), 2022.
arXiv
Code
IEEE
REALY: Rethinking the Evaluation of 3D Face Reconstruction
Zenghao Chai*, Haoxian Zhang*, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao.
European Conference on Computer Vision (ECCV), 2022.
arXiv
Page
Code
PDF
Supplementary
Poster
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization
Yunpeng Bai, Chao Dong, **Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan.
European Conference on Computer Vision (ECCV), 2022.
arXiv
Code
PDF
Supplementary
Poster
HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval Chengyin Xu*, Zenghao Chai*, Zhengzhuo Xu, Chun Yuan, Yanbo Fan, Jue Wang.
ACM International Conference on Multimedia (ACM MM), 2022.
arXiv
Code
PDF
Supplementary
CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning
Zenghao Chai, Zhengzhuo Xu, Yunpeng Bai, Zhihui Lin, Chun Yuan.
IEEE International Conference on Multimedia and Expo (ICME), 2022.
arXiv
Code
IEEE
MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning
Zenghao Chai, Zhengzhuo Xu, Chun Yuan.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
arXiv
Code
IEEE
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu*, Zenghao Chai*, Chun Yuan.
Neural Information Processing Systems (NeurIPS), 2021.
arXiv
Code
OpenReview
PDF
Supplementary
Research on Learning Mechanism Designing for Equilibrated Bipolar Spiking Neural Networks
Xu Yang, Jiajun Lin, Wenhao Zheng, Jinfeng Zhao, Mengyao Ji, Yunlin Lei, Zenghao Chai.
Artificial Intelligence Review, 2020.
Springer
Correlation Analysis-Based Neural Network Self-Organizing Genetic Evolutionary Algorithm
Zenghao Chai, Xu Yang, Zhilin Liu, Yunlin Lei, Wenhao Zheng, Mengyao Ji, Jinfeng Zhao.
IEEE Access, 2019.
IEEE
Constructing an Associative Memory System Using Spiking Neural Network
Hu He, Yingjie Shang, Xu Yang, Yingze Di, Jiajun Lin, Yimeng Zhu, Wenhao Zheng, Jinfeng Zhao, Mengyao Ji, Liya Dong, Ning Deng, Yunlin Lei, Zenghao Chai.
Frontiers in neuroscience, 2019.
Frontiers
Amazons Evaluation Optimization Strategy Based on PSO Algorithm
Zenghao Chai, Zhiyuan Fang, Jie Zhu.
Chinese Control And Decision Conference (CCDC), 2019.
IEEE
Patents
Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Yanbo Fan. A Retrieval Method and Apparatus, Device, and Storage Medium. Invention patent. Published Application Number: CN115146143A. 2022.
Chun Yuan, Zenghao Chai, Zhengzhuo Xu. A Lightweight Fine-grained Spatiotemporal Predictive Method and System. Invention patent. Published Application Number: CN114445463A. 2022.
Chongyang Shi, Zhaohe Liao, Zenghao Chai. A Move Generation Method for Game of the Amazons Based on Deep Convolutional Neural Network. Invention patent. Authorization Announcement Number: CN111330255B. 2020.
Awards and Honors
- First Prize in Internship Award of Tsinghua University (TOP 1%), 2023.05.
- Award of Excellence in “Stars of Tomorrow” Internship Program of Microsoft Research Asia (TOP 5%), 2023.03.
- Ministry of Education National Scholarship for Postgraduates (TOP 1%), 2022.11.
- Ping An AI BANK Fellowship (TOP 5%), 2021.09.
- Beijing Outstanding Graduate (TOP 5%), 2020.07.
- Beijing Institute of Technology Outstanding Graduate (TOP 5%), 2020.07.
- Teli Xu Fellowship (TOP 0.1%, best honor for undergraduates), 2020.06.
- Beijing Merit Student (TOP 1%), 2020.05.
- Beijing Institute of Technology Competition Scholarship (TOP 5%, 2 times), 2019-2020.
- Gold Medal of ICGA Computer Olympiad 2019, 2019.08.
- Meritorious Winner of MCM/ICM Contest in Modeling, 2019.04.
- Ministry of Industry and Information Technology Innovation Scholarship (TOP 1%), 2019.04.
- Gold Medal of International Genetically Engineered Machine competition (IGEM), 2018.12.
- Ministry of Education National Scholarship for Undergraduates (TOP 1%, 2 times), 2018-2019.
- Second Prize of University Computer Games Championship & National Computer Games Tournament, 2018.08.
- Third Prize of Beijing Physics Competition, 2017.11.
- First Prize of China Mathematics Competition, 2017.10.
- First Prize of Beijing Mathematics Competition, 2017.10.
- JJWorld Fellowship (TOP 5%), 2017.09.
- First Prize Scholarship of Beijing Institute of Technology (TOP 5%, 6 times), 2017-2020.