Scholar
Yifeng Wang
Google Scholar ID: uIVORyMAAAAJ
Ph.D. at Carnegie Mellon University
Citations & Impact
Citations
56
H-index
3
i10-index
2
Publications
9
Co-authors
11
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
- - Multimodal NeRF: Graduate Research Intern at the University of Pennsylvania, supervised by Prof. Mingmin Zhao, co-mentored by Prof. Lingjie Liu, June 2023 - November 2023
- - Proteomics Peptide Sequence Analysis: Graduate Research Intern at the University of California, San Diego, supervised by Prof. Pengtao Xie, June 2023 - December 2023
- - 3D VIT Medical Imaging: Graduate Research Intern at the University of Illinois, Urbana-Champaign, supervised by Prof. Haohan Wang, March 2023 - April 2024
- - Neural Symbolic Image Labeling: Summer Research Intern at Purdue University, supervised by Prof. Tianyi Zhang, May 2022 - April 2024
- - LoRa and IoT: Undergraduate research
Education
- - Carnegie Mellon University (CMU) 2024-Present: Ph.D. in Electrical and Computer Engineering
- - The Hong Kong Polytechnic University (PolyU) 2019-2023: BSc (Hons) in Computing, Minor in Applied Mathematics
- - Handan Number 1 Middle School 2016-2019: Teacher in charge of class: Xiankun Guo
Background
- Main research interests focus on Large Language Models, especially revealing LLM internals in black-box settings. Past research focused on Machine Learning and Deep Learning with intersections in Physics (Light, Electromagnetic Waves, Sound Waves), Biomedical (Proteins, Alzheimer's Disease), and Wireless Systems (LoRa signals). Specifically, he has researched AI for Science, Computer Vision, Natural Language Processing, IoT Systems, and Robotics.
Miscellany
- Research philosophy is to use technology to benefit people in the world. COVID-19 once destroyed many important things, and there are many people suffering from various diseases, so he hopes to utilize his knowledge to protect the people he loves.
- Favorite Sentence: 春风若有怜花意，可否许我再少年。
- Girlfriend Ms. Xinyu Wang works on Computational Biology, aiming to leverage machine learning algorithms for molecular modeling and model evaluation to enhance human understanding of macromolecules—particularly proteins and protein-RNA complexes.
