LabCompass

Lifan Wu

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2015Rising activity

Publications

39

Citations

534

Est. group size

~2

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

Lifan Wu works on computer graphics, focusing on rendering techniques that simulate how light behaves in virtual scenes, including real-time and physically accurate methods for creating realistic images. Much of the recent work involves differentiable and Monte Carlo rendering methods, which are mathematical techniques for estimating light transport and enabling optimization tasks like inverse rendering (reconstructing scene properties from images).

Physically based and differentiable renderingMonte Carlo light transport simulationReal-time rendering (ReSTIR-based methods)Global illumination and shading models3D scene and shape reconstruction

Publication output has grown notably over the last decade, rising from a handful of papers per year to a peak of nine in 2025 after several years of steady but modest activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
2017: 4 publications17182019: 2 publications192020: 2 publications202021: 3 publications212022: 2 publications222023: 4 publications232024: 5 publications242025: 9 publications9252026: 4 publications26
Publishes in
  • ACM Transactions on Graphics×12
  • IEEE Access×5
  • Computer Graphics Forum×2
  • arXiv (Cornell University)×2
  • Journal of Intelligent & Robotic Systems×1
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

Claim or correct this profile