Amy Poh Ai Ling, Karen Guo, Kenji Tanaka, Yung-Jen Lin Guo, "Projecting Future Trends in Japan’s Electricity Position: A Data-driven Analysis using Monthly Statistics from OECD Members," 4th International Conference on Power Systems and Electrical Technology (PSET) (2025), 695-700

Karen Guo, Chien-Hua Lin, Huei-Ching Fu, Ping-Chieh Wu, Guan-Hua Tu, Sheng-Chu Huang, You-Yu Li, Yi Chen Tsai, Yung-Jen Lin Guo, "AI-Powered Badminton Coach: Automated Match Analysis and Key Event Annotation," IEEE Region 10 Symposium (TENSYMP) (2025), 1-8

Jong-Shenq Guo, Karen Guo and Masahiko Shimojo, "Uniqueness and stability of forced waves for the Fisher–KPP equation in a shifting environment," Nonlinear Analysis, 247 (2024), 113607

Jong-Shenq Guo, Karen Guo and Masahiko Shimojo, "Stability of monostable traveling waves in diffusive three-species competition systems," Applied Mathematics Letters, 148 (2024), Art. 108891.

Jong-Shenq Guo, Karen Guo and Paul Schrater, "Prediction of human looking behavior using interest based image representations," Communications in Information and Systems, 23 (2023), 245-262.

Jong-Shenq Guo, Karen Guo and Masahiko Shimojo, "Forced waves for diffusive competition systems in shifting environments," Nonlinear Analysis: Real World Applications, 73 (2023), Art.103880.

Karen Guo, "On the invading speeds for a diffusive three-species competition system," Journal of Mathematical Analysis and Applications, 526 (2023), Art. 127229.

Jong-Shenq Guo and Karen Guo, "Traveling waves for a three-species competition system with two weak aboriginal competitors," Differential and Integral Equations, 35 (2022), 819-832.

Karen Guo, "Characterizing Human Looking Behavior Considering Human Interest and Visual Attention with Contributions to Cognitive AI and HCI," PhD Thesis Dissertation, University of Minnesota, 2020. 

Karen Guo, Danielle Pratt, Angus MacDonald III, Paul Schrater, “Labeling Images by Interpretation from Natural Viewing,” ACM Conference on Intelligent User Interfaces (IUI) 2018: CEUR Workshop Proceedings.

Niluthpol Chowdhury, Sirajum Munir, Karen Guo, Charles Shelton, Amit K. Roy-Chowdhury, “ODDS: Real-Time Object Detection using Depth Sensors on Embedded GPUs,” Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (ISPN), 2018

Karen Guo and Paul Schrater, “Automatically Discovering Fatigue Patterns from Sparsely Labelled Temporal Data,” International Conference of Machine Learning Applications (ICMLA), 2015.

Karen Guo and Hwann-Tzong Chen, “Learning Sparse Dictionaries for Saliency Detection,” Asia Pacific Signal and Information Processing Association, 2012.