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Work experience
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======
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* 2021/02 - Present: **Lehigh University**, WiNS Lab | Bethlehem, PA \\
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* 2021/02 - Present: **Lehigh University**, WiNS Lab | Bethlehem, PA <br>
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*Research Assistant*
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* Supervisor: [Mooi Choo Chuah](https://www.cse.lehigh.edu/~chuah/)
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* Conduct research and propose cutting-edge algorithms; Design experiments and perform qualitative and quantitative evaluations
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* 2025/05 - 2025/08: **Johnson & Johnson**, Computer Vision Team | Cambridge, MA \\
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* 2025/05 - 2025/08: **Johnson & Johnson**, Computer Vision Team | Cambridge, MA <br>
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*AI/ML Intern, Computer Vision*
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* Mentor: [Brandon Ginley](https://scholar.google.com/citations?user=UDz46zwAAAAJ&hl=en)
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* Propose a semi-supervised learning approach that leverages foundation models to improve annotation efficiency
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* 2024/12 - 2025/06: **8th Workshop on Efficient Deep Learning for Computer Vision**, CVPR | Nashville, TN \\
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* 2024/12 - 2025/06: **8th Workshop on Efficient Deep Learning for Computer Vision**, CVPR | Nashville, TN <br>
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*Technical Program Committee*
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* Mentor: [Shuai Zhang](https://zsivine.github.io/)
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* Organize the 2025 IEEE Low Power Computer Vision Challenge (LPCVC) open-vocabulary segmentation track (40+ teams involved); Collect data and evaluate the baseline model
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Publications
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======
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* [ArXiv 2025] [Rethinking RGB-Event Semantic Segmentation with a Novel Bidirectional Motion-enhanced Event Representation](https://www.arxiv.org/abs/2505.01548) \\
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* [ArXiv 2025] [Rethinking RGB-Event Semantic Segmentation with a Novel Bidirectional Motion-enhanced Event Representation](https://www.arxiv.org/abs/2505.01548) <br>
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<small>**Zhen Yao**, Xiaowen Ying, and Mooi Choo Chuah. arXiv, 2025.</small>
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* [WACV 2025] [Event-guided Low-light Video Semantic Segmentation](https://openaccess.thecvf.com/content/WACV2025/html/Yao_Event-Guided_Low-Light_Video_Semantic_Segmentation_WACV_2025_paper.html) \\
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* [WACV 2025] [Event-guided Low-light Video Semantic Segmentation](https://openaccess.thecvf.com/content/WACV2025/html/Yao_Event-Guided_Low-Light_Video_Semantic_Segmentation_WACV_2025_paper.html) <br>
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<small>**Zhen Yao**, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.</small>
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* [ICRA 2024] [CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections](https://ieeexplore.ieee.org/document/10611660) \\
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* [ICRA 2024] [CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections](https://ieeexplore.ieee.org/document/10611660) <br>
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<small>**Zhen Yao**, Jiawei Xu, Shuhang Hou, and Mooi Choo Chuah. IEEE International Conference on Robotics and Automation (ICRA), 2024.</small>
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* [T-ITS 2023] [Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving](https://ieeexplore.ieee.org/abstract/document/10367760) \\
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* [T-ITS 2023] [Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving](https://ieeexplore.ieee.org/abstract/document/10367760) <br>
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<small>**Zhen Yao**, Xin Li, Bo Lang, and Mooi Choo Chuah. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.</small>
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* [WACV 2023] [Robustness of trajectory prediction models under map-based attacks](https://openaccess.thecvf.com/content/WACV2023/html/Zheng_Robustness_of_Trajectory_Prediction_Models_Under_Map-Based_Attacks_WACV_2023_paper.html) \\
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* [WACV 2023] [Robustness of trajectory prediction models under map-based attacks](https://openaccess.thecvf.com/content/WACV2023/html/Zheng_Robustness_of_Trajectory_Prediction_Models_Under_Map-Based_Attacks_WACV_2023_paper.html) <br>
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<small>Zhihao Zheng, Xiaowen Ying, **Zhen Yao**, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.</small>
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