Yunhe Feng is a Postdoctoral Scholar with Professor Chirag Shah in the Information School at the University of Washington. Yunhe obtained his Ph.D. degree in Computer Science from the University of Tennessee, Knoxville, USA. His research interest lies in Data Mining and Knowledge Discovery, Mobile Usable Security and Privacy, Machine Learning, and Human-Computer Interaction (HCI).
Selected Publications
- Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
- Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data
- Precise Debias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases
- Towards Fairness-aware Adversarial Network Pruning
Talks
Talks will appear here when linked.