I am an Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at South Dakota State University. In 2025, I received my Ph.D. in Computer Science from Stony Brook University, advised by Dr. Haibin Ling. In 2019, I obtained B.Sc. degree at School of Mathematical Sciences, University of Science and Technology of China, majoring in applied mathematics.

I am actively seeking passionate and self-motivated Ph.D. students to join my research group at South Dakota State University, working on 3D computer vision tasks and interdisciplinary topics. If you are interested, please contact me at Ruyi.Lian@sdstate.edu with your CV and transcripts. Due to a high volume of inquiries, please allow several days for a response.

My primary research interests are in the fields of computer vision, computer graphics, robotics, computational biology, and AI for science.

Current Research Directions:

1. Image-Based Object Pose Estimation: Focusing on both instance-level and novel object pose estimation, with an emphasis on deep geometric understanding of objects from visual inputs.
2. 3D Reconstruction and Analysis from Diverse Imaging Modalities: 
Developing methods for processing and analyzing diverse image modalities, including cryo-electron microscopy (cryo-EM), optical coherence tomography (OCT), and other specialized imaging techniques.
3. Interdisciplinary Topics: Applying 3D vision algorithms to various assistive systems.

Publication

Ruyi Lian, Yuewei Lin, Longin Jan Latecki, and Haibin Ling. VAPO: Visibility-Aware Keypoint Localization for Efficient 6DoF Object Pose Estimation. IROS 2025 (Oral). [arXiv] [code]

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 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.