Scholar
Xingyang Li
Google Scholar ID: BbEZr2gAAAAJ
Shanghai Jiao Tong Universty
Machine Learning Systems
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Citations & Impact
All-time
Citations
2
H-index
1
i10-index
0
Publications
6
Co-authors
6
list available
Contact
Email
brucelee_sjtu@sjtu.edu.cn
CV
Open ↗
GitHub
Open ↗
Publications
8 items
Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
2026
Cited
0
OpenACM: An Open-Source SRAM-Based Approximate CiM Compiler
2026
Cited
0
Nebula: Enable City-Scale 3D Gaussian Splatting in Virtual Reality via Collaborative Rendering and Accelerated Stereo Rasterization
2025
Cited
0
BalanceGS: Algorithm-System Co-design for Efficient 3D Gaussian Splatting Training on GPU
2025
Cited
0
OpenYield: An Open-Source SRAM Yield Analysis and Optimization Benchmark Suite
2025
Cited
0
SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity
2025
Cited
0
Radial Attention: $O(nlog n)$ Sparse Attention with Energy Decay for Long Video Generation
2025
Cited
0
KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation via Fine-grained Alignment
2025
Cited
0
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.
Co-authors
6 total
Yujun Lin
Research Scientist, NVIDIA
Shuo Yang
UC Berkeley
Haocheng Xi
University of California, Berkeley
Yu Feng
Shanghai Jiao Tong University
Yu Jiang
Shanghai Jiao Tong University
Muyang Li
Massachusetts Institute of Technology
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