An Automated Compiler for RISC-V Based DNN Accelerator. - Zheng Wu; Wuzhen Xie; Xiaoling Yi; Haitao Yang; Ruiyao Pu; Xiankui Xiong; Haidong Yao; Chixiao Chen; Jun Tao 001; Fan Yang 001 (ISCAS, 2022)

NNASIM: An Efficient Event-Driven Simulator for DNN Accelerators with Accurate Timing and Area Models. - Xiaoling Yi; Jiangnan Yu; Zheng Wu; Xiankui Xiong; Dong Xu 015; Chixiao Chen; Jun Tao 001; Fan Yang 001 (ISCAS, 2022)

Graph Representation Learning for Microarchitecture Design Space Exploration. - Xiaoling Yi; Jialin Lu; Xiankui Xiong; Dong Xu 015; Li Shang; Fan Yang 001 (DAC, 2023)

TPNoC: An Efficient Topology Reconfigurable NoC Generator. - Jiangnan Yu; Fan Yang 001; Xiaoling Yi; Chixiao Chen; Jun Tao 001; Dong Xu 015; Xiankui Xiong; Haitao Yang (ACM Great Lakes Symposium on VLSI, 2023)

SenseDSE: Sensitivity-Based Performance Evaluation for Design Space Exploration of Microarchitecture. - Zheng Wu; Xiaoling Yi; Li Shang; Fan Yang 001 (DATE, 2024)

OpenGeMM: A High-Utilization GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling. - Xiaoling Yi; Ryan Antonio; Joren Dumoulin; Jiacong Sun; Josse Van Delm; Guilherme Paim; Marian Verhelst (CoRR, 2024)

OpenGeMM: A Highly-Efficient GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling. - Xiaoling Yi; Ryan Antonio; Joren Dumoulin; Jiacong Sun; Josse Van Delm; Guilherme Pereira Paim; Marian Verhelst (ASP-DAC, 2025)

Prior-Boosted GRL: Microarchitecture Design Space Exploration via Graph Representation Learning. - Zheng Wu; Jinyi Shen; Xiaoling Yi; Li Shang; Fan Yang 001; Xuan Zeng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators. - Xiaoling Yi; Yunhao Deng; Ryan Antonio; Fanchen Kong; Guilherme Paim; Marian Verhelst (CoRR, 2025)

Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning. - Stef Cuyckens; Xiaoling Yi; Nitish Satya Murthy; Chao Fang; Marian Verhelst (CoRR, 2025)