* Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach (Pre-Print arXiv:2309.10011)
* UAV swarm based radar signal sorting via multi-source data fusion: A deep transfer learning framework (Information Fusion, 2022)
Research Experience
- Research Engineer at the USC Institute for Creative Technologies
Education
- University of Southern California, August 2022 - May 2024, Master of Science in Computer Science (Honors Merit), GPA: 4.0/4.0
- Dalian University of Technology, September 2018 - June 2022, Bachelor of Engineering in Computer Engineering, GPA: 88/100
Background
- Research Engineer at USC Institute for Creative Technologies
- Long-term research goal is to enable machines to understand, reconstruct, and generate our everyday interactive and dynamic world through computer vision, graphics, and machine learning
- Current research interests: Neural Scene Representations, Splatting methods, 3D/4D Reconstruction and Generation, and World Modeling