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I am an Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at South Dakota State University. My primary research interests are in the fields of 3D computer vision, robotics, and AI for science.

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.

Lab

My lab: 3D Perception and Scientific Imaging Laboratory

Current Research Directions:

1. Image-based object pose estimation, 3D perception, and robotic grasping.
2. 3D analysis, reconstruction, and generation for visual understanding and embodied intelligence.
3. Interdisciplinary applications of computer vision and AI in civil engineering, construction, agriculture, and biomedical imaging (cryo-EM, OCT, etc.).

Current PhD Students:

1. Xiaozhu Jin
2. Most Nilufa Yeasmin

To Current South Dakota State University Students: If you are interested in computer vision, robotics, and AI research, including independent study and undergraduate research opportunities, feel free to reach out and discuss potential projects.

Teaching

• CSC 422/522 (Computer Vision and Pattern Recognition), Spring 2026
• CSC 300 (Data Structures), Fall 2025

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.