About Me
I’m a third year Ph.D. student at Purdue University under the supervision of Prof. Ananth Grama. Prior to that, I completed my undergraduate studies in Electronic Information Engineering with a minor in Artificial intelligence at the University of Science and Technology of China. [CV]
Research interests:
- Machine Learning, especially Trustworthy ML and Efficient ML.
Publication List
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong
Cascade reward sampling for efficient decoding-time alignment
Bolian Li*, Yifan Wang*, Ananth Grama, Ruqi Zhang
Deconvolving Complex Neuronal Networks into Interpretable Task-Specific Connectomes
Yifan Wang, Vikram Ravindra, Ananth Grama
A Theory of Fault-Tolerant Learning
Changlong Wu, Yifan Wang, Ananth Grama
International Conference on Machine Learning (ICML), 2024 (Spotlight 3.5%)
Learning Functional Distributions with Private Labels
Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski
International Conference on Machine Learning (ICML), 2023
Personal Projects
BiteEmo App Development
For a long time, I’ve observed something quite common around me: most people aren’t struggling with their weight because they don’t know what to eat or how to exercise. Instead, it’s often emotional issues—stress from work, social pressures, or just feeling down—that trigger unhealthy eating behaviors. Managing these emotions, rather than merely counting calories or forcing workouts into an already busy schedule, can be the key to better health. From my own experience, writing down my thoughts and feelings—doing what I call a “brain dump”—has always been incredibly therapeutic.