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.