07 / Background
Background
Education
2018.09 - 2021.03
Master, Zhejiang University, Hangzhou, Zhejiang.
2014.09 - 2018.06
Bachelor, Huazhong University of Science and Technology, Wuhan, Hubei.
2011.09 - 2014.06
Shangqiu No.1 Senior Middle School, Shangqiu, Henan.
Internships
2020.06 - 2020.09
HikVision Research Center, Hangzhou.
2019.08 - 2020.06
Tencent JARVIS Research Center, network architecture search, Shenzhen.
2019.04 - 2019.07
FaBu, autonomous driving and model compression, Hangzhou.
08 / Invited Talks
Invited Talks
2024.11
Quantization and Sparsity Optimization for AIGC Models
Public presentation at ML-Summit 2024.
09 / Contact
Get in Touch
If you are seeking academic cooperation, invited talks, or technical discussion around efficient AIGC/LLM systems, the best way to reach Songwei Liu is via email.
Current Collaboration Interests
Open to research collaborations on efficient foundation model training, AIGC/LLM inference optimization, cache reuse, sparse/quantized computation, and software-hardware co-design.
Efficient AIGC foundation models
Long-context and agentic serving systems
Edge-cloud collaborative inference