Fast Sparse GPU Kernels for Accelerated Training of Graph Neural Networks. - Ruibo Fan; Wei Wang 030; Xiaowen Chu 001 (IPDPS, 2023)

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models. - Longteng Zhang; Xiang Liu 001; Zeyu Li; Xinglin Pan; Peijie Dong; Ruibo Fan; Rui Guo; Xin Wang; Qiong Luo 001; Shaohuai Shi; Xiaowen Chu 001 (CoRR, 2023)

Weighted Schatten p-norm and Laplacian scale mixture-based low-rank and sparse decomposition for foreground-background separation. - Ruibo Fan; Mingli Jing; Lan Li; Jingang Shi; Yufeng Wei (J. Electronic Imaging, 2023)

DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores. - Ruibo Fan; Wei Wang 030; Xiaowen Chu 001 (ASPLOS (3), 2024)

Benchmarking and Dissecting the Nvidia Hopper GPU Architecture. - Weile Luo; Ruibo Fan; Zeyu Li; Dayou Du; Qiang Wang 022; Xiaowen Chu 001 (IPDPS, 2024)

TVRPCA＋: Low-rank and sparse decomposition based on spectral norm and structural sparsity-inducing norm. - Ruibo Fan; Mingli Jing; Jingang Shi; Lan Li; Zizhao Wang (Signal Process., 2024)

SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs. - Ruibo Fan; Xiangrui Yu; Peijie Dong; Zeyu Li; Gu Gong; Qiang Wang 022; Wei Wang 030; Xiaowen Chu 001 (EuroSys, 2025)

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. - Peijie Dong; Lujun Li 001; Yuedong Zhong; Dayou Du; Ruibo Fan; Yuhan Chen; Zhenheng Tang; Qiang Wang 022; Wei Xue 002; Yike Guo; Xiaowen Chu 001 (ICLR, 2025)

Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis. - Weile Luo; Ruibo Fan; Zeyu Li; Dayou Du; Hongyuan Liu 002; Qiang Wang 022; Xiaowen Chu 001 (CoRR, 2025)