Ruibo Fan

According to our database, Ruibo Fan authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dissecting Outlier Dynamics in LLM NVFP4 Pretraining.

Peijie Dong, Ruibo Fan, Yuechen Tao, Di Mou, Wenhu Hu, Zhenheng Tang, Yinghao Yu, Jiamang Wang, Wenbo Su, Guodong Yang, Liping Zhang, Xiaowen Chu, Baochun Li, Bo Li

CoRR, February, 2026

ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities.

Weile Luo, Yuhan Chen, Xiangrui Yu, Qiang Wang, Ruibo Fan, Hongyuan Liu, Xiaowen Chu

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression.

Ruibo Fan, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, Xiaowen Chu

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis.

Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Hongyuan Liu, Qiang Wang, Xiaowen Chu

CoRR, January, 2025

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs.

Peijie Dong, Lujun Li, Yuedong Zhong, Dayou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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, Wei Wang, Xiaowen Chu

Proceedings of the Twentieth European Conference on Computer Systems, 2025

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., April, 2024

Benchmarking and Dissecting the Nvidia Hopper GPU Architecture.

Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Qiang Wang, Xiaowen Chu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores.

Ruibo Fan, Wei Wang, Xiaowen Chu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

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

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models.

Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu

CoRR, 2023

Fast Sparse GPU Kernels for Accelerated Training of Graph Neural Networks.

Ruibo Fan, Wei Wang, Xiaowen Chu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023