I am a CS Ph.D student from Stevens Institute of Technology, working with Prof. Philippos Mordohai. I got my Master’s degree from Stevens as well, working on Information and Data Engineering Program. Previously, I obtained my Bachelor’s degree in Mathematics from Renmin University of China. I am currently looking for Posdoc position and faculty job, here is my Research Statement and CV.
My research in machine learning, computer vision and robotics focuses on building systems that can effectively learn from limited data and identify the uncertain or unreliable aspects within the current learning process. You can find all my research projects at [🐙:Github], [🎓:Google Scholar]!😎
🌟Sep 2025 - One paper was accepted to Neurips 2025.
🌟Apr 2025 - Passed my dissertation proposal defense.
🌟Mar 2025 - One paper was accepted to CVPR2025.
🌟Jan 2025 - Gave an invited talk at NYC Computer Vision Day 2025.
🌟Mar 2023 - One paper was accepted to CVPR2023.
🌟Jan 2020 - Joined the Computer Vision Lab at Stevens.
🌟Dec 2019 - Gave an invited talk in Neurips 2019 WiML workshop.
🌟Aug 2019 - AWS Machine Learning Research Award.
Understanding while Exploring: Semantics-driven Active Mapping (NeurIPS 2025)
Liyan Chen, Huangying Zhan, Yi Xu, Hairong Yin, Philippos Mordohai

[Paper]|[Code]
ActiveGAMER: Active GAussian Mapping through Efficient Rendering (CVPR 2025)
Liyan Chen, Huangying Zhan, Kevin Chen, Xiangyu Xu, Qingan Yan, Changjiang Cai, Yi Xu

[Paper]|[Video]|[Code]
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation (CVPR 2023)
Liyan Chen, Weihan Wang, Philippos Mordohai

[Paper]|[Video]|[Code]
DropCluster: A structured dropout for convolutional networks (NeurIPS WiML 2019)
Liyan Chen, Philip Gautier, Sergul Aydore

[Paper]