Qiang Ji

Electrical, Computer, and Systems Engineering
Professor

About

Qiang Ji received his Ph.D degree in electrical engineering from the University of Washington. He is currently a Professor with the Department of Electrical, Computer, and Systems engineering at RPI. From January, 2009 to August, 2010, he served as a program director at the National Science Foundation, managing NSF's machine learning and computer vision programs. Prior to joining RPI in 2001, he was an assistant professor with Dept. of Computer Science, University of Nevada at Reno. He also held research and visiting positions with the Beckman Institute at University of Illinois at Urbana-Champaign, the Robotics Institute at Carnegie Mellon University, and the US Air Force Research Laboratory. Dr. Ji currently serves as the director of the Intelligent Systems Laboratory (ISL). Prof. Ji is a fellow of the IEEE and the IAPR.

Research

Computer Vision, Probabilistic Graphical Models, Causal Learning and Inference, Probabilistic Machine Learning, Affective Computing, Robotics, Multimodal Information Fusion for Situation Awareness and Decision Making under Uncertainty

Research Groups

Intelligent Systems Laboratory  https://sites.ecse.rpi.edu/~cvrl/ 

Teaching

Computer Vision, Deep Learning, Probabilistic Graphical Models, Pattern Recognition, and Image Processing. 

Publications
Google Scholar
Research Gate

The following is a selection of recent publications in Scopus. Qiang Ji has 302 indexed publications in the subjects of Computer Science, Computer Science, Engineering.

Bayesian Contrastive Augmented Open-set Action Recognition
Hongji Guo, Shehan Senavirathna, Qiang Ji
Fg 2026 20th IEEE International Conference on Automatic Face and Gesture Recognition
, 2026
.
Physics-informed Dynamic 3D Face Reconstruction from Videos
Chenyi Kuang, Jeffrey O. Kephart, Qiang Ji
Fg 2026 20th IEEE International Conference on Automatic Face and Gesture Recognition
, 2026
.
Inter-Stance: A Dyadic Multimodal Corpus for Conversational Stance Analysis
Xiang Zhang, Xiaotian Li, Taoyue Wang, Nan Bi, Xin Zhou, Cody Zhou, Zoie Wang, Andrew Yang, Yuming Su, Jeff Cohn, Qiang Ji, Lijun Yin
Fg 2026 20th IEEE International Conference on Automatic Face and Gesture Recognition
, 2026
.
ARCLIGHT: Automated Clustering and Curriculum Learning Guided by Human Training
Jamie McCusker, Henrique Santos, Rishi Singh, Sabbir M. Rashid, Abraham Sanders, Grace Roessling, Hongji Guo, Bashirul Biswas, Deborah L. McGuinness, Tomek Strzalkowski, Qiang Ji, Jay Miller
Ceur Workshop Proceedings
, 3953
, 2025
.
Efficient Nonlinear DAG Learning Under Projection Framework
Naiyu Yin, Yue Yu, Tian Gao, Qiang Ji
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, 15306 LNCS
, 2025
, pp.445-460
.
Optimization-Based Uncertainty Attribution Via Learning Informative Perturbations
Hanjing Wang, Bashirul Azam Biswas, Qiang Ji
Lecture Notes in Computer Science
, 15136 LNCS
, 2025
, pp.237-253
.
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance
Yufei Zhang, Jeffrey O. Kephart, Qiang Ji
Lecture Notes in Computer Science
, 15136 LNCS
, 2025
, pp.106-125
.
Epistemic Uncertainty Quantification for Pretrained Neural Networks
Hanjing Wang, Qiang Ji
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, 2024
, pp.11052-11061
.
Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches
Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe, Qiang Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 46
, 2024
, pp.61-84
.
Disagreement Matters: Exploring Internal Diversification for Redundant Attention in Generic Facial Action Analysis
Xiaotian Li, Zheng Zhang, Xiang Zhang, Taoyue Wang, Zhihua Li, Huiyuan Yang, Umur Ciftci, Qiang Ji, Jeffrey Cohn, Lijun Yin
IEEE Transactions on Affective Computing
, 15
, 2024
, pp.620-631
.

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