Yue Guan

According to our database, Yue Guan authored at least 18 papers between 2020 and 2025.

Collaborative distances:

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

2025

Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting.

Zhongkai Yu, Yue Guan, Zihao Yu, Chenyang Zhou, Shuyi Pei, Yangwook Kang, Yufei Ding, Po-An Tsai

CoRR, October, 2025

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows.

Zaifeng Pan, Ajjkumar Patel, Zhengding Hu, Yipeng Shen, Yue Guan, Wan-Lu Li, Lianhui Qin, Yida Wang, Yufei Ding

CoRR, July, 2025

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads.

Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz

CoRR, May, 2025

An Efficient Private GPT Never Autoregressively Decodes.

Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu, Yu Yu, Jingwen Leng, Minyi Guo

CoRR, May, 2025

Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling.

Yue Guan, Xinwei Qiang, Zaifeng Pan, Daniels Johnson, Yuanwei Fang, Keren Zhou, Yuke Wang, Wanlu Li, Yufei Ding, Adnan Aziz

Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads.

Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training.

Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type.

Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference.

Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Chen Jin, Jingwen Leng

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

Accelerating Sparse DNNs Based on Tiled GEMM.

Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo

IEEE Trans. Computers, May, 2024

Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning.

Yue Guan, Changming Yu, Yangjie Zhou, Jingwen Leng, Chao Li, Minyi Guo

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

Amanda: Unified Instrumentation Framework for Deep Neural Networks.

Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo

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

2022

PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences.

Shulai Zhang, Weihao Cui, Quan Chen, Zhengnian Zhang, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

Transkimmer: Transformer Learns to Layer-wise Skim.

Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Block-Skim: Efficient Question Answering for Transformer.

Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Co-Design of Binary Processing in Memory ReRAM Array and DNN Model Optimization Algorithm.

Yue Guan, Takashi Ohsawa

IEICE Trans. Electron., 2020

Accelerating sparse DNN models without hardware-support via tile-wise sparsity.

Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu

Proceedings of the International Conference for High Performance Computing, 2020

How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention.

Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo

Proceedings of the 28th International Conference on Computational Linguistics, 2020