[CV]
I am an incoming PhD student at MIT EECS, advised by Prof. Song Han. I graduated from ACM Honors Class, Shanghai Jiao Tong University in 2026 with a B.Eng. in Computer Science (summa cum laude). I work on efficient algorithms and systems for deep learning applications, particularly generative AI.
During my undergraduate studies, I was very fortunate to work with Prof. Yu Feng and Prof. Guohao Dai.
* indicates equal contribution
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FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
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Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
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DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing
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Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation
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Nebula: Enable City-Scale 3D Gaussian Splatting in Virtual Reality via Collaborative Rendering and Accelerated Stereo Rasterization
ASPLOS 2026 (Oral Presentation) /
arXiv
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SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity
ICCAD 2025 (Oral Presentation) /
arXiv
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Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way
DAC 2025 (Oral Presentation) /
paper
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Role: giving lectures and recitation classes, writing documents and sample solutions, grading homework, creating exam questions, designing ML-related final project lists