Zaifeng Pan

According to our database, Zaifeng Pan authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving.

Zhongkai Yu, Haotian Ye, Chenyang Zhou, Ohm Rishabh Venkatachalam, Zaifeng Pan, Zhengding Hu, Junsung Kim, Won Woo Ro, Po-An Tsai, Shuyi Pei, Yangwook Kang, Yufei Ding

CoRR, April, 2026

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training.

Zhengding Hu, Hehua Ouyang, Chang Chen, Zaifeng Pan, Yue Guan, Zhongkai Yu, Zhen Wang, Steven Swanson, Yufei Ding

CoRR, April, 2026

Pancake: Hierarchical Memory System for Multi-Agent LLM Serving.

Zhengding Hu, Zaifeng Pan, Prabhleen Kaur, Vibha Murthy, Zhongkai Yu, Yue Guan, Zhen Wang, Steven Swanson, Yufei Ding

CoRR, February, 2026

ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management.

Zaifeng Pan, Yipeng Shen, Zhengding Hu, Zhuang Wang, Aninda Manocha, Zheng Wang, Zhongkai Yu, Yue Guan, Yufei Ding

CoRR, January, 2026

ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.

Zhongkai Yu, Chenyang Zhou, Yichen Lin, Hejia Zhang, Haotian Ye, Junxia Cui, Zaifeng Pan, Jishen Zhao, Yufei Ding

CoRR, January, 2026

2025

Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding.

Yue Guan, Changming Yu, Shihan Fang, Weiming Hu, Zaifeng Pan, Zheng Wang, Zihan Liu, Yangjie Zhou, Yufei Ding, Minyi Guo, Jingwen Leng

CoRR, December, 2025

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving.

Zhengding Hu, Vibha Murthy, Zaifeng Pan, Wanlu Li, Xiaoyi Fang, Yufei Ding, Yuke Wang

CoRR, July, 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

PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules.

Ruofan Wu, Zhen Zheng, Feng Zhang, Chuanjie Liu, Zaifeng Pan, Jidong Zhai, Xiaoyong Du

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

HedraRAG: Co-Optimizing Generation and Retrieval for Heterogeneous RAG Workflows.

Zhengding Hu, Vibha Murthy, Zaifeng Pan, Wanlu Li, Xiaoyi Fang, Yufei Ding, Yuke Wang

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

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

FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference.

Zaifeng Pan, Yitong Ding, Yue Guan, Zheng Wang, Zhongkai Yu, Xulong Tang, Yida Wang, Yufei Ding

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024

Compressed data direct computing for Chinese dataset on DCU.

Yani Liu, Feng Zhang, Zaifeng Pan, Xiaoguang Guo, Yihua Hu, Xiao Zhang, Xiaoyong Du

CCF Trans. High Perform. Comput., April, 2024

RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules.

Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, Yufei Ding

Proceedings of the International Conference for High Performance Computing, 2024

2023

BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach.

Zhen Zheng, Zaifeng Pan, Dalin Wang, Kai Zhu, Wenyi Zhao, Tianyou Guo, Xiafei Qiu, Minmin Sun, Junjie Bai, Feng Zhang, Xiaoyong Du, Jidong Zhai, Wei Lin

Proc. ACM Manag. Data, September, 2023

RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns.

Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Exploring Data Analytics Without Decompression on Embedded GPU Systems.

Zaifeng Pan, Feng Zhang, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du

IEEE Trans. Parallel Distributed Syst., 2022

G-SLIDE: A GPU-Based Sub-Linear Deep Learning Engine via LSH Sparsification.

Zaifeng Pan, Feng Zhang, Hourun Li, Chenyang Zhang, Xiaoyong Du, Dong Deng

IEEE Trans. Parallel Distributed Syst., 2022

2021

G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression.

Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021