Zihao Ye - RankMe

33 papers A* 3A 1Journal 21Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AVO: Agentic Variation Operators for Autonomous Evolutionary Search. CoRR Terry Chen, Zhifan Ye, Bing Xu, Zihao Ye, Timmy Liu, Ali Hassani, Tianqi Chen, Andrew Kerr, Haicheng Wu, Yang Xu, Yu-Jung Chen, Hanfeng Chen, Aditya Kane, Ronny Krashinsky, Ming-Yu Liu, Vinod Grover, Luis Ceze, Roger A. Bringmann, John Tran, Wei Liu, Fung Xie, Michael Lightstone, Humphrey Shi
2026	J	`jnl`	Axe: A Simple Unified Layout Abstraction for Machine Learning Compilers. CoRR Bohan Hou, Hongyi Jin, Guanjie Wang, Jinqi Chen, Yaxing Cai, Lijie Yang, Zihao Ye, Yaoyao Ding, Ruihang Lai, Tianqi Chen
2026	J	`jnl`	FlashInfer-Bench: Building the Virtuous Cycle for AI-driven LLM Systems. CoRR Shanli Xing, Yiyan Zhai, Alexander Jiang, Yixin Dong, Yong Wu, Zihao Ye, Charlie Ruan, Yingyi Huang, Yineng Zhang, Liangsheng Yin, Aksara Bayyapu, Luis Ceze, Tianqi Chen
2026	J	`jnl`	SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits. CoRR Edward Lin, Sahil Modi, Siva Kumar Sastry Hari, Qijing Huang, Zhifan Ye, Nestor Qin, Fengzhe Zhou, Yuan Zhang, Jingquan Wang, Sana Damani, Dheeraj Peri, Ouye Xie, Aditya Kane, Moshe Maor, Michael Behar, Triston Cao, Rishabh Mehta, Vartika Singh, Vikram Sharma Mailthody, Terry Chen, Zihao Ye, Hanfeng Chen, Tianqi Chen, Vinod Grover, Wei Chen, Wei Liu, Eric Chung, Luis Ceze, Roger A. Bringmann, Cyril Zeller, Michael Lightstone, Christos Kozyrakis, Humphrey Shi
2025	J	`jnl`	Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding. CoRR Yilong Zhao, Jiaming Tang, Kan Zhu, Zihao Ye, Chi-Chih Chang, Chaofan Lin, Jongseok Park, Guangxuan Xiao, Mohamed S. Abdelfattah, Mingyu Gao, Baris Kasikci, Song Han, Ion Stoica
2025	—	`conf`	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. MLSys Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025	J	`jnl`	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. CoRR Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025	A*	`conf`	MagicPIG: LSH Sampling for Efficient LLM Generation. ICLR Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Léon Bottou, Zhihao Jia, Beidi Chen
2025	J	`jnl`	Mirage Persistent Kernel: A Compiler and Runtime for Mega-Kernelizing Tensor Programs. CoRR Xinhao Cheng, Zhihao Zhang, Yu Zhou, Jianan Ji, Jinchen Jiang, Zepeng Zhao, Ziruo Xiao, Zihao Ye, Yingyi Huang, Ruihang Lai, Hongyi Jin, Bohan Hou, Mengdi Wu, Yixin Dong, Anthony Yip, Songting Wang, Wenqin Yang, Xupeng Miao, Tianqi Chen, Zhihao Jia
2025	A*	`conf`	NanoFlow: Towards Optimal Large Language Model Serving Throughput. OSDI Kan Zhu, Yufei Gao, Yilong Zhao, Liangyu Zhao, Gefei Zuo, Yile Gu, Dedong Xie, Zihao Ye, Keisuke Kamahori, Chien-Yu Lin, Ziren Wang, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci
2025	—	`conf`	Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. ASPLOS (2) Ruihang Lai, Junru Shao, Siyuan Feng, Steven Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared Roesch, Todd C. Mowry, Tianqi Chen
2025	J	`jnl`	TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval. CoRR Chien-Yu Lin, Keisuke Kamahori, Yiyu Liu, Xiaoxiang Shi, Madhav Mahesh Kashyap, Yile Gu, Rulin Shao, Zihao Ye, Kan Zhu, Stephanie Wang, Arvind Krishnamurthy, Rohan Kadekodi, Luis Ceze, Baris Kasikci
2024	—	`conf`	Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving. MLSys Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
2024	J	`jnl`	MagicPIG: LSH Sampling for Efficient LLM Generation. CoRR Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Léon Bottou, Zhihao Jia, Beidi Chen
2024	J	`jnl`	NanoFlow: Towards Optimal Large Language Model Serving Throughput. CoRR Kan Zhu, Yilong Zhao, Liangyu Zhao, Gefei Zuo, Yile Gu, Dedong Xie, Yufei Gao, Qinyu Xu, Tian Tang, Zihao Ye, Keisuke Kamahori, Chien-Yu Lin, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci
2024	—	`conf`	Punica: Multi-Tenant LoRA Serving. MLSys Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy
2024	—	`conf`	vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. MLSys Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
2024	J	`jnl`	vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. CoRR Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
2023	J	`jnl`	Atom: Low-bit Quantization for Efficient and Accurate LLM Serving. CoRR Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
2023	J	`jnl`	Punica: Multi-Tenant LoRA Serving. CoRR Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy
2023	J	`jnl`	Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. CoRR Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry, Tianqi Chen
2023	—	`conf`	SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. ASPLOS (3) Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
2023	—	`conf`	TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
2022	—	`conf`	Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. MLSys Zhiqiang Xie, Minjie Wang, Zihao Ye, Zheng Zhang, Rui Fan
2022	J	`jnl`	SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. CoRR Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
2022	J	`jnl`	TensorIR: An Abstraction for Automatic Tensorized Program Optimization. CoRR Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
2020	A*	`conf`	DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
2020	J	`jnl`	DGL-KE: Training Knowledge Graph Embeddings at Scale. CoRR Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
2020	J	`jnl`	FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
2020	A	`conf`	FeatGraph: a flexible and efficient backend for graph neural network systems. SC Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
2020	J	`jnl`	Transformer on a Diet. CoRR Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola
2019	J	`jnl`	BP-Transformer: Modelling Long-Range Context via Binary Partitioning. CoRR Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang
2019	J	`jnl`	Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang