BNU-SYS

BNU-SYS is part of the School of Artificial Intelligence at Beijing Normal University and is led by Professor Weixing Ji. Rooted in the core problems of computer systems, the group conducts systematic research along the chain of computer architecture—compiler optimization—parallel computing—large-model inference, covering the optimization of sparse-matrix computation and iterative solvers, compression and inference acceleration for large models, compiler optimization for domestic processors, and large-scale code defect detection.

Conferences / Talks

Latest Papers

JDExtractor: an automated approach for efficient extraction of defect-related methods in Java projects
Tianyang Liu, Jiawei Ye, Weixing Ji · Automated Software Engineering (ASE) · CCF B
[PDF] [DOI] [Code]
FCoral: A Framework for Fine-grained Concurrency Evaluation Across Programming Language Runtimes
Jianjun Shi, Yinghui Huang, Bingxin Liu, Danying Ge, Jianhua Gao, Yuxiang Zhang, Weixing Ji · ACM Transactions on Architecture and Code Optimization (TACO) · CCF A
[PDF] [DOI]
ARROW: Adaptive Row Reorganization for Warp-Balanced SpMV
Yuxiang Zhang, Jianhua Gao, Weixing Ji · International Symposium on Advanced Parallel Processing Technologies (APPT) · CCF C
[PDF] [DOI]
ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
Danying Ge, Qizhi Jiang, Jianhua Gao, Jianjun Shi, Weixing Ji · European Conference on Parallel Processing (Euro-Par) · CCF B
[PDF] [DOI]
An Integration Method for Autotuning and Feedback-Directed Optimization
Bingxin Liu, Yinghui Huang, Jianhua Gao, Jianjun Shi, Weixing Ji · Acta Electronica Sinica (电子学报)
[PDF] [DOI]

Awards

Team Activities

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