Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu: Augmentation of Chinese Character Representations with Compositional Graph Learning, AAAI 2022: 13075-13076   

Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen: Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation, AAAI 2022: 13015-13016    

Ross George is a master’s degree student in mathematics in the College of Science. He is advised by Manish Bansal. George’s research is focused on analyzing the sources of infeasibility in large systems, particularly in those relating to neural networks and decision making models.

Virginia Tech has received funding from the National Science Foundation for a collaborative research project that brings machine learning and data science research to the domain of Stable Isotope Ratio Analysis (SIRA) to improve discovery and traceability of illicitly-sourced timber products. Illegal timber trade (ITT) is the most profitable natural-resource crime, valued at 50-152 billion U.S. […]

As technology continues to revolutionize industries and alter the nature of everyday life, the future of work can seem unclear. Virginia Tech’s Institute for Creativity, Arts, and Technology (ICAT) is bringing together a wide breadth of expertise to discuss this topic during the Human-Centered Future of Work Symposium. Sponsored by the Department of Economics and the Kohl Center, AAEC, the […]

Huimin Han, Rebecca Faust, Brian Felipe Keith Norambuena, Ritvik Prabhu, Timothy Smith, Song Li, Chris North: Explainable Interactive Projections for Image Data. ISVC (1) 2022: 77-90

Ibrahim Asadullah Tahmid, Lee Lisle, Kylie Davidson, Chris North, Doug A. Bowman: Evaluating the Benefits of Explicit and Semi-Automated Clusters for Immersive Sensemaking. ISMAR 2022: 479-488