Scholar
Feng Chen
Google Scholar ID: KOQ-SSYAAAAJ
Department of Computer Science, UT Dallas
Citations & Impact
Citations
3,479
H-index
33
i10-index
87
Publications
20
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Publications: Including but not limited to 'SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search', 'Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization', etc., to be published
Research Experience
- - Associate Professor (tenured) in the Department of Computer Science at The University of Texas at Dallas since Fall 2019
- - Assistant Professor in the Department of Computer Science at University at Albany - SUNY from Spring 2014 to Spring 2019
- - Postdoctoral researcher at EPD Laboratory and iLab, Carnegie Mellon University, 2013
- - Intern at IBM T.J. Watson Research Labs during summer 2011 while pursuing doctoral studies
Education
- - Ph.D., Department of Computer Science, Virginia Polytechnic Institute and State University, Advisor: Chang-Tien Lu, Dec. 2012
- - M.S., School of Computer Science, Beijing University of Aeronautics & Astronautics, Mar. 2004
- - B.S., School of Computer and Communication, Hunan University, Jul. 2001
- - Postdoctoral researcher at EPD Laboratory and iLab, Carnegie Mellon University, 2013, working with Daniel B. Neill and Ramayya Krishnan
Background
- Research Interests: Dedicated to enhancing AI safety and ethics by crafting responsible machine learning techniques, aiming to build resilient AI systems capable of identifying and adapting to novel scenarios, quantifying and managing uncertainties for safety applications, and promoting fairness and equity in various domains. Work involves improving healthcare diagnostics, ensuring the safety of autonomous systems, upholding fairness in financial services, strengthening cybersecurity, tackling environmental issues, ethically moderating digital content, reforming the criminal justice system, and tailoring educational experiences.
Miscellany
- Quoted Amit Ray emphasizing the basic guidelines of an ethical AI system
