**Ruibo Fan**, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, and Xiaowen Chu, ‘‘ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression,’’ in the Proceedings of ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS ’26), Pittsburgh, PA, USA, March 2026.
Weile Luo, Yuxin Chen, Xiangrui Yu, Qiang Wang, **Ruibo Fan**, Haibo Liu, et al., "ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities," in *Proceedings of the 31st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP)*, 2026.
Weile Luo, **Ruibo Fan**, Zeyu Li, et al., "Dissecting the NVIDIA Hopper Architecture through Micro-benchmarking and Multiple Level Analysis," *ACM Transactions on Computer Systems (TOCS)*, under review.
**Ruibo Fan**, et al., "Exploiting Low-Level Sparsity for Efficient Large Language Model Inference on GPUs with SpInfer," *ACM Transactions on Computer Systems (TOCS)*, invited, under review.
Peng Dong, Lin Li, Yuke Zhong, Dazhen Du, **Ruibo Fan**, Yuxin Chen, et al., "STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs," in *Proceedings of the 13th International Conference on Learning Representations (ICLR)*, 2025.
**Ruibo Fan**, et al., "SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs," in *Proceedings of the 20th European Conference on Computer Systems (EuroSys)*, 2025.
Weile Luo, **Ruibo Fan**, Zeyu Li, et al., "Benchmarking and Dissecting the Nvidia Hopper GPU Architecture," in *Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS)*, 2024.
**Ruibo Fan**, Wei Wang, and Xiaowen Chu, "DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores," in *Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)*, 2024.
**Ruibo Fan**, Wei Wang, and Xiaowen Chu, "Fast Sparse GPU Kernels for Accelerated Training of Graph Neural Networks," in *Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS)*, 2023.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA