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From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution

Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao: From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution, AAAI 2022: 13111-13112

Augmentation of Chinese Character Representations with Compositional Graph Learning

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

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation

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    

Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks

Ross George

Ross George is an undergraduate student in the College of Science. He is earning a bachelor’s degree in mathematics and 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.

Sanghani Center leads collaborative study to improve both discovery and traceability of illegally-sourced timber

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. […]

Human-Centered Future of Work Symposium set for Nov. 3

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 […]

Characterizing Social Movement Narratives in Online Communities: The 2021 Cuban Protests on Reddit

Explainable Interactive Projections for Image Data

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

Evaluating the Benefits of Explicit and Semi-Automated Clusters for Immersive Sensemaking

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