I am currently a sixth year PhD student in Department of Computer Science, Stony Brook University, advised by Prof. Haibin Ling. On June 2019, I obtained B.Sc. degree at School of Mathematical Sciences, University of Science and Technology of China, majoring in applied mathematics.

My primary research interests are in the fields of computer vision, computer graphics, robotics, computational biology, and AI for science. My current research focuses on object pose estimation from natural images and cryo-EM images.

Publication

Yunye Gong, Jiachen Yao, Ruyi Lian, Xiao Lin, Chao Chen, Ajay Divakaran and Yi Yao. Recovering manifold representations via unsupervised meta-learning. Frontiers in Computer Science 6: 1255517 (2025).

Shivasankaran Vanaja Pandi, Zhenghong Li, Ruyi Lian, Joyce Lee, Wensheng Cheng, Liguo Wang, Yuewei Lin, Qun Liu, and Haibin Ling. A Novel Contrastive Loss and Clustering Approach for Particle Detection in Cryo-EM. ISBI, 2025.

Ruyi Lian, Yuewei Lin, Longin Jan Latecki, and Haibin Ling. VAPO: Visibility-Aware Keypoint Localization for Efficient 6DoF Object Pose Estimation. arXiv 2024. [arXiv]

Ruyi Lian and Haibin Ling. CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network. ICCV 2023. [arXiv] [code]

Ruyi Lian, Bingyao Huang, Liguo Wang, Qun Liu, Yuewei Lin, and Haibin Ling. End-to-end orientation estimation from 2D cryo-EM images. Acta Crystallographica Section D - Structural Biology, 2022.

Bingyao Huang, Ruyi Lian, Dimitris Samaras, and Haibin Ling. Modeling Deep Learning Based Privacy Attacks on Physical Mail. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021.

Miscellaneous

My biggest hobby is painting and I post my recent paintings on my personal painting account. Please visit it if you are interested :)