CV

Education

• Ph.D. in Computer Science, Lehigh University, 2021 - 2026
• M.S. in Computer Science, New York University, 2018 - 2020
• B.S. in Computer Science, China Agricultural University, 2014 - 2018

Work experience

• 2021/02 - Present: Lehigh University, WiNS Lab | Bethlehem, PA
  Research Assistant
  • Supervisor: Mooi Choo Chuah
  • Conduct research and propose cutting-edge algorithms; Design experiments and perform qualitative and quantitative evaluations
• 2025/05 - 2025/11: Johnson & Johnson, Computer Vision Team | Cambridge, MA
  AI/ML Intern, Computer Vision
  • Mentor: Brandon Ginley
  • Propose a semi-supervised learning approach that leverages foundation models to improve annotation efficiency
• 2024/12 - 2025/06: 8th Workshop on Efficient Deep Learning for Computer Vision, CVPR | Nashville, TN
  Technical Program Committee
  • Mentor: Shuai Zhang
  • Organize the 2025 IEEE Low Power Computer Vision Challenge (LPCVC) open-vocabulary segmentation track (40+ teams involved); Collect data and evaluate the baseline model

Skills

• Languages: Python, C/C++, MATLAB, Git, Bash
• Deep Learning Frameworks: PyTorch, Detectron2, TensorFlow, Linux, OpenCV, CUDA, MMCV
• Computer Vision Algorithms: Image and Video Segmentation, Vision-Language Models, Multimodal Foundation Models, Multi-Sensor Fusion, Low-Light Vision, Model Fine-tuning, Edge Devices
• Technologies & Tools: Bitbucket, Hugging Face, Docker, Visual Studio
• Soft skills: Written and Verbal Communication Skills, Teamwork, Academic Writing, Mathematical Skills, Creative
• Hobbies: Basketball, Pickleball, Traveling

Publications

• [arXiv 2025] Learning Flow-Guided Registration for RGB–Event Semantic Segmentation
  Zhen Yao, Xiaowen Ying, Zhiyu Zhu, and Mooi Choo Chuah. arXiv, 2025.
• [WACV 2025] Event-guided Low-light Video Semantic Segmentation
  Zhen Yao, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
• [ICRA 2024] CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections
  Zhen Yao, Jiawei Xu, Shuhang Hou, and Mooi Choo Chuah. IEEE International Conference on Robotics and Automation (ICRA), 2024.
• [T-ITS 2023] Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving
  Zhen Yao, Xin Li, Bo Lang, and Mooi Choo Chuah. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
• [WACV 2023] Robustness of trajectory prediction models under map-based attacks
  Zhihao Zheng, Xiaowen Ying, Zhen Yao, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.