Sihao Liu

About Me

Hi! I'm Sihao Liu (刘思浩), a master's student at AI4GC Lab, Zhejiang University, advised by Prof. Shengyu Zhang.

My research focuses on efficient inference for large language models, including KV cache compression and long-context optimization. I'm also interested in causal-aware sequential recommendation and scaling laws for recommendation models. Previously, I worked on semantic-disentangled 3D human reconstruction using Gaussian Splatting at Zhejiang Lab.

Feel free to reach out if you're interested in collaboration!

Research Interests

• LLM Inference Optimization — KV cache compression, long-context reasoning acceleration, and efficient decoding for multimodal LLMs.
• Causal Recommendation — Counterfactual intervention learning and causal dependency modeling in sequential recommendation.
• Scaling Laws — Resource-optimized scaling laws for large-scale recommendation models with RetNet-based architectures.

Education

• 2024 – present · M.S. in Software Engineering, Zhejiang University
• 2020 – 2024 · B.S. in Software Engineering, Zhejiang University of Technology (GPA: 3.83/4.0, Rank: 1/98)

Selected Awards

• Government Scholarship (3 consecutive years, 2020–2023)
• Silver Award, National College Student Algorithm Design Competition (2024)
• National Undergraduate Innovation and Entrepreneurship Training Program Award
• Certified Software Designer & Systems Integration Engineer (National Certification)