I'm Huanyu Wang (王焕宇), a Ph.D. student at Carnegie Mellon University, advised by Prof. Beidi Chen at InfiniAI Lab.
I received dual degrees in Computer Science (B.E., IEEE Honor Class) and Applied Mathematics (B.S.) from Shanghai Jiao Tong University in 2026, where I was fortunate to work with Prof. Zhouhan Lin at LUMIA Lab.
Outside of research, I enjoy basketball, Japanese anime, and traveling. I also live with a lovely cat named Mao-na.
Research Interests
- Efficient Inference Token compression and KV cache optimization for efficient LLM/VLM serving.
- Decentralized Systems Cross-region collaboration between heterogeneous AI services.
- ML Systems & HPC Kernel- and system-level optimization across modern hardware.
News
🎓 Started my Ph.D. at CMU, joining InfiniAI Lab!
🎉 DynaKV accepted to EMNLP 2026 (Main Conference)!
🎉 Fourier Compressor accepted to ECCV 2026 (Spotlight)!
🎓 Graduated from SJTU with dual degrees in CS and Math!
📄 Released WWW.Serve,
a decentralized framework for collaborative multi-LLM serving.
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📄 Released DynaKV,
a token-wise adaptive KV cache compression method.
📄 Released Fourier Compressor,
a frequency-domain VLM token compression approach.
Selected Publications
Education
Carnegie Mellon University
Ph.D. in Electrical and Computer Engineering
Aug. 2026 - Present
Shanghai Jiao Tong University
B.E. in Computer Science and Technology (IEEE Honor Class)
B.S. in Mathematics and Applied Mathematics (Dual degree)
Sep. 2022 - Jun. 2026