Fan Yang
About
Dr. Fan Yang is an Assistant Professor in the Department of Computer Science at Wake Forest University. He received his Ph.D. in Computer Science from Rice University, under the supervision of Dr. Xia (Ben) Hu. Besides, in industries, he worked or interned with J.P. Morgan AI Research, Visa Research and Meta AI.His research interests generally lie in the areas of Data Mining and Machine Learning. More specifically, He focuses on the broad range of topics related to Trustworthy AI, with particular emphasis on Interpretable Learning and Model Explainability. His overall research goal is to make AI auditable, comprehensible, ethical, fair, responsible, robust, safe and verifiable. Dr. Yang also interested in Trustworthy AI downstream applications, including (but not limited to) Misinformation Detection, Recommender System, Health Informatics and Financial Forecasting, as well as its correlative intersections with Computer Vision (CV), Natural Language Processing (NLP) and Human-Computer Interaction (HCI).
Research Performance Summary
First Recorded Paper
A QoE-based resource allocation scheme for multi-radio access in heterogeneous wireless network
Year: 2014
Citations: 9
Venue: 2014 14th International Symposium on Communications and Information
Latest Recorded Paper
RustXec: A Vulnerability Reproduction Dataset for Assessing Security Risks in Open-Source Rust Applications
Year: 2026
Citations: 0
Venue: N/A
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.