Scholar
Yiqing Liang
Google Scholar ID: TlUl6mUAAAAJ
Brown University
Citations & Impact
Citations
246
H-index
5
i10-index
4
Publications
9
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Zero-Shot Monocular Scene Flow Estimation in the Wild' accepted to CVPR 2025 as an Oral Presentation (Award Candidate, 0.48%); 'Monocular Dynamic Gaussian Splatting is Fast and Brittle and Scene Complexity Rules' accepted to TMLR 2025; organized the End-to-End 3D Learning (E2E3D) workshop at ICCV 2025; gave an invited talk at Harvard Visual Computing Group; presented a lightning talk at NYC Computer Vision Day 2025.
Research Experience
- Research intern at NVIDIA Research, collaborating with Abhishek Badki, Hang Su, and Orazio Gallo; research intern at Meta Reality Labs, working with Numair Khan, Lei Xiao, and Douglas Lanman.
Education
- PhD candidate in Computer Science at Brown University, advised by Professor James Tompkin; Master in Computer Science from Columbia University, advised by Professor Shuran Song and Professor Shih-Fu Chang; Bachelor in Computer Science from Fudan University, with a visiting student experience at MIT EECS (CSAIL).
Background
- Research interests include Foundation Models, Multimodal LLMs, Video Generation, Reinforcement Learning, World Models, and Machine Learning. Aiming to endow artificial agents with spatiotemporal intelligence, blending vision, geometry, and high-level reasoning for real-time perception, prediction, and planning.
Miscellany
- Personal interests not mentioned
