Yue Guan - RankMe

34 papers A* 7A 3B 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoOverlap: Enabling Fine-Grained Overlap of Computation and Communication with Chunk-Based Scheduling. CoRR Xinwei Qiang, Yue Guan, Zhengding Hu, Yufei Ding, Adnan Aziz
2026	J	`jnl`	Pancake: Hierarchical Memory System for Multi-Agent LLM Serving. CoRR Zhengding Hu, Zaifeng Pan, Prabhleen Kaur, Vibha Murthy, Zhongkai Yu, Yue Guan, Zhen Wang, Steven Swanson, Yufei Ding
2026	A	`conf`	Proton: Towards Multi-level, Adaptive Profiling for Triton. CGO Keren Zhou, Tianle Zhong, Hao Wu, Jihyeong Lee, Yue Guan, Yufei Ding, Corbin Robeck, Yuanwei Fang, Jeff Niu, Philippe Tillet
2026	J	`jnl`	ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management. CoRR Zaifeng Pan, Yipeng Shen, Zhengding Hu, Zhuang Wang, Aninda Manocha, Zheng Wang, Zhongkai Yu, Yue Guan, Yufei Ding
2025	A*	`conf`	An Efficient Private GPT Never Autoregressively Decodes. ICML Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu, Yu Yu, Jingwen Leng, Minyi Guo
2025	J	`jnl`	An Efficient Private GPT Never Autoregressively Decodes. CoRR Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu, Yu Yu, Jingwen Leng, Minyi Guo
2025	J	`jnl`	An Efficient Private GPT Never Autoregressively Decodes. IACR Cryptol. ePrint Arch. Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu, Yu Yu, Jingwen Leng, Minyi Guo
2025	—	`conf`	FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference. MLSys Zaifeng Pan, Yitong Ding, Yue Guan, Zheng Wang, Zhongkai Yu, Xulong Tang, Yida Wang, Yufei Ding
2025	A*	`conf`	KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. OSDI Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz
2025	J	`jnl`	KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. CoRR Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz
2025	J	`jnl`	KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows. CoRR Zaifeng Pan, Ajjkumar Patel, Zhengding Hu, Yipeng Shen, Yue Guan, Wan-Lu Li, Lianhui Qin, Yida Wang, Yufei Ding
2025	A*	`conf`	M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. HPCA Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng
2025	J	`jnl`	M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. CoRR Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng
2025	A*	`conf`	Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling. SOSP Yue Guan, Xinwei Qiang, Zaifeng Pan, Daniels Johnson, Yuanwei Fang, Keren Zhou, Yuke Wang, Wanlu Li, Yufei Ding, Adnan Aziz
2025	J	`jnl`	Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting. CoRR Zhongkai Yu, Yue Guan, Zihao Yu, Chenyang Zhou, Shuyi Pei, Yangwook Kang, Yufei Ding, Po-An Tsai
2025	A*	`conf`	VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. HPCA 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
2025	J	`jnl`	VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. CoRR Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Jingwen Leng, Chen Jin
2025	A*	`conf`	WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. OSDI Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding
2025	J	`jnl`	WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. CoRR Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding
2025	J	`jnl`	Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding. CoRR Yue Guan, Changming Yu, Shihan Fang, Weiming Hu, Zaifeng Pan, Zheng Wang, Zihan Liu, Yangjie Zhou, Yufei Ding, Minyi Guo, Jingwen Leng
2024	J	`jnl`	Accelerating Sparse DNNs Based on Tiled GEMM. CoRR Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
2024	J	`jnl`	Accelerating Sparse DNNs Based on Tiled GEMM. IEEE Trans. Computers Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
2024	—	`conf`	Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) 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
2024	—	`conf`	Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning. ASPLOS (3) Yue Guan, Changming Yu, Yangjie Zhou, Jingwen Leng, Chao Li, Minyi Guo
2022	A*	`conf`	Block-Skim: Efficient Question Answering for Transformer. AAAI Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo
2022	A	`conf`	PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences. ICS Shulai Zhang, Weihao Cui, Quan Chen, Zhengnian Zhang, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo
2022	—	`conf`	Transkimmer: Transformer Learns to Layer-wise Skim. ACL (1) Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo
2022	J	`jnl`	Transkimmer: Transformer Learns to Layer-wise Skim. CoRR Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo
2021	J	`jnl`	Block-Skim: Efficient Question Answering for Transformer. CoRR Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu
2020	J	`jnl`	Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
2020	A	`conf`	Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
2020	J	`jnl`	Co-Design of Binary Processing in Memory ReRAM Array and DNN Model Optimization Algorithm. IEICE Trans. Electron. Yue Guan, Takashi Ohsawa
2020	B	`conf`	How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. COLING Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
2020	J	`jnl`	How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. CoRR Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo