Insider threats to cybersecurity can occur when an actor with authorized access to an organization’s network conducts malicious activities that may release the organization’s critical information that further results in severe consequences such as financial loss, system crashes, and national security challenges. “These threats are on the rise and according to a recent cyber security […]
Dawei Zhou is an assistant professor in the Virginia Tech Department of Computer Science; director of the VirginiaTech Learning on Graphs (VLOG) Lab; and core faculty at the Sanghani Center. Zhou’s prior research is on rare category detection, graph mining, curriculum learning, and algorithmic fairness, with applications in financial fraud detection, cyber security, financial forecasting, […]
Xinyue Zeng is a Ph.D. student in the Department of Computer Science. Her advisor is Dawei Zhou. Her research focuses on applying artificial intelligence to address real-world challenges, particularly in the fields of biostatistics and healthcare. Additionally, she is actively exploring advancements in graph and transfer learning.
Two student Amazon Fellows and five faculty-led projects supported by the Amazon-Virginia Tech Initiative for Efficient and Robust Machine Learning for the 2024-25 academic year were named at a retreat held on the Blacksburg campus. The initiative, launched in 2022 to advance research and innovation in artificial intelligence (AI) and machine learning, is funded by Amazon, housed in the College […]
While not a perfect system, human reasoning still outshines artificial intelligence (AI) in a number of critical areas. One Virginia Tech researcher wants to help change that. Insufficient logical reasoning capability in AI can be a disadvantage when trying to tackle complex problems like diagnosing and treating rare diseases and detecting and disrupting financial fraud, […]
Attendees at two major conferences this summer will be hearing about Haohui Wang’s research. Wang, a Ph.D. student advised by Dawei Zhou, will be traveling to Europe to present her collaborative work, “EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs,” at the 2024 International Conference on Machine Learning (ICML) in Vienna, Austria, in July; and ““Mastering Long-Tail Complexity on Graphs: Characterization, […]
The Department of Computer Science recently added its first two Presidential Postdoctoral Fellows, JinYi Yoon and Adithya Kulkarni. They join the ranks of more than 200 postdoctoral scholars working across every Virginia Tech college and institute to advance the pursuit of knowledge and develop into the next generation of experts in their fields. In 2022, to support the […]
Adithya Kulkarni is a postdoctoral fellow at the Sanghani Center, working with core faculty Dawei Zhou and Lifu Huang, both assistant professors in the Department of Computer Science. Their work involves combining the power of graph learning and large language models (LLMs) to develop approaches that enable the explainability, interpretability, replicability, and, thus, the general […]
Weijie Guan is a Ph.D. student in the Department of Computer Science. He is advised by Dawei Zhou. His research mainly focuses on novelty detection and anomaly detection from graph machine learning to general machine learning to enable artificial intelligence systems to recognize unknown classes.
Jianpeng Chen is a Ph.D. student in the Department of Computer Science. He is advised by Dawei Zhou. Chen’s current research interests lie generally in data mining and machine learning with a particular focus on graph learning and its application for 3D molecular modeling.