Scholar
Wenyan Cong (丛文艳)
Google Scholar ID: uQV5aCsAAAAJ
The University of Texas at Austin
Citations & Impact
Citations
905
H-index
11
i10-index
12
Publications
20
Co-authors
5
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - MLSys'25 Outstanding Paper Award (Honorable Mention)
- - CVPR'25 AI4CC Workshop Best Paper Award
- - E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models
- - Can Scaling Test-Time Compute Improve World Foundation Model? COLM 2025
- - Videolifter: Lifting videos to 3D with fast hierarchical stereo alignment, 3DV 2026
- - APOLLO: SGD-like Memory, AdamW-level Performance, MLSys 2025
- - Large spatial model: End-to-end unposed images to semantic 3D, NeurIPS 2024
- - PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices, NeurIPS 2024
- - InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds, In Submission
Research Experience
- - Research Intern at Meta Fair, with Weiyao Wang and Matt Feiszli
- - Research Intern at Snap Research, with Jian Wang
Education
- - Ph.D. in Electrical and Computer Engineering, University of Texas at Austin, supervised by Prof. Atlas Wang, 2019 - Present
- - M.S. in Computer Science and Technology, Shanghai Jiao Tong University, advised by Prof. Li Niu and Prof. Liqing Zhang, 2022
- - B.Eng. in Computer Science and Technology, Shanghai Jiao Tong University, 2019
Background
- - Research Interests: Modeling dynamic and complex 3D/4D environments, including capturing the real world through digital reconstruction and synthesizing controllable virtual worlds
- - Professional Area: Efficient AI algorithms, with an emphasis on improving the training and inference efficiency of large foundation models
Miscellany
- - Joined Adobe as a Research Scientist Intern
- - Organizing End-to-End 3D Learning workshop at ICCV'25
