Dr. Wei Wang Received ACM EuroSys 2025 Best Paper Award

Dr. Wei Wang, Associate Professor of Department of Computer Science and Engineering, was recently presented with ACM EuroSys 2025 Best Paper Award.

Professor Wei Wang's research has been recognized with the ACM EuroSys 2025 Best Paper Award at the 20th European Conference on Computer Systems for his co-authored paper titled "SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs." ACM EuroSys is a premier conference on systems software research and development, with a rigorous selection process—this year, only two papers received the Best Paper Award out of 85 accepted from 696 submissions (12.4% acceptance rate).

In this groundbreaking work, Professor Wang and his collaborators from HKUST-GZ and HIT-SZ tackled the pressing challenge of making large language models (LLMs) more efficient for real-world deployment. LLMs, while powerful, require enormous computational resources, making them difficult to run on standard hardware. The team developed SpInfer, a novel framework that uses advanced "pruning" techniques to remove less important parts of these models, reducing both memory usage and computation time. By introducing a new way to store and process these pruned models—optimized for modern GPUs—SpInfer achieves significant speed and memory improvements, making it possible to run large AI models faster and more cost-effectively than ever before. Importantly, SpInfer is the first to successfully turn the theoretical promise of unstructured pruning into real-world performance gains for LLM inference, setting a new standard for efficiency in AI systems.

Congratulations to Professor Wei Wang, first author Ruibo Fan (PhD student at HKUST-GZ co-supervised by Prof. Wang and Prof. Xiaowen Chu), and all co-authors from HKUST-GZ, HKUST, and Harbin Institute of Technology, Shenzhen. This prestigious recognition highlights not only the department’s commitment to cutting-edge, impactful research but also the importance of fostering cross-campus collaboration between HKUST and HKUST-GZ in advancing excellence in computer systems and artificial intelligence.

Dr. Wei Wang