Xingyang Li
Scholar

Xingyang Li

Google Scholar ID: BbEZr2gAAAAJ
Shanghai Jiao Tong Universty
Machine Learning Systems
Citations & Impact
All-time
Citations
2
 
H-index
1
 
i10-index
0
 
Publications
6
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Paper 'Radial Attention: O(n log n) Sparse Attention with Energy Decay for Long Video Generation' accepted to NeurIPS 2025
  • Paper 'SLTarch: Towards Scalable Point-Based Neural Rendering...' accepted to ICCAD 2025 (Oral Presentation)
  • Paper 'Harnessing Conventional Video Processing Insights...' accepted to DAC 2025
  • Course project 'KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation...' accepted to IJCNN 2025
  • Contributed to 'Voyager: Real-Time Splatting City-Scale 3D Gaussians...', currently under review
  • Official implementation of Radial Attention has garnered 500+ GitHub stars
Education
  • B.Eng. in Computer Science, Shanghai Jiao Tong University (Sept. 2022 – June 2026, expected)
  • Member of ACM Honors Class (top 5% students interested in research), GPA: 4.03/4.3, Rank: 3/30
  • Advisor: Prof. Yong Yu
  • Student Research Intern, Massachusetts Institute of Technology (Jul. 2025 – Present)
  • Advisor: Prof. Song Han
Background
  • Senior undergraduate student in the ACM Honors Class at Shanghai Jiao Tong University, majoring in Computer Science.
  • Currently a visiting student researcher at MIT HAN Lab, advised by Prof. Song Han.
  • Previously collaborated with Prof. Yu Feng and Prof. Guohao Dai during junior year.
  • Passionate about efficient machine learning, focusing on algorithms, systems, and hardware for ML applications.
  • Long-term goal: democratizing efficient foundation models and advancing their capability and scalability.
  • Plans to pursue a Ph.D. in Computer Science starting Fall 2026.