Xin Jin

Xin Jin

Peking University

H-index: 32

Asia-China

About Xin Jin

Xin Jin, With an exceptional h-index of 32 and a recent h-index of 28 (since 2020), a distinguished researcher at Peking University, specializes in the field of Computer Systems, Computer Networks, Cloud Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

DistMind: Efficient Resource Disaggregation for Deep Learning Workloads

SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers

Unison: A Parallel-Efficient and User-Transparent Network Simulation Kernel

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving

RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

A survey of resource-efficient llm and multimodal foundation models

LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism

Xin Jin Information

University

Position

Associate Professor

Citations(all)

4907

Citations(since 2020)

3695

Cited By

2367

hIndex(all)

32

hIndex(since 2020)

28

i10Index(all)

55

i10Index(since 2020)

50

Email

University Profile Page

Peking University

Google Scholar

View Google Scholar Profile

Xin Jin Skills & Research Interests

Computer Systems

Computer Networks

Cloud Computing

Top articles of Xin Jin

Title

Journal

Author(s)

Publication Date

DistMind: Efficient Resource Disaggregation for Deep Learning Workloads

IEEE/ACM Transactions on Networking

Xin Jin

Zhihao Bai

Zhen Zhang

Yibo Zhu

Yinmin Zhong

...

2024/1/24

SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers

Daliang Xu

Mengwei Xu

Chiheng Lou

Li Zhang

Gang Huang

...

2024/4/27

Unison: A Parallel-Efficient and User-Transparent Network Simulation Kernel

Songyuan Bai

Hao Zheng

Chen Tian

Xiaoliang Wang

Chang Liu

...

2024/4/22

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving

arXiv preprint arXiv:2401.09670

Yinmin Zhong

Shengyu Liu

Junda Chen

Jianbo Hu

Yibo Zhu

...

2024/1/18

RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

arXiv preprint arXiv:2404.12457

Chao Jin

Zili Zhang

Xuanlin Jiang

Fangyue Liu

Xin Liu

...

2024/4/18

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

arXiv preprint arXiv:2401.09149

Qiaoling Chen

Diandian Gu

Guoteng Wang

Xun Chen

YingTong Xiong

...

2024/1/17

A survey of resource-efficient llm and multimodal foundation models

arXiv preprint arXiv:2401.08092

Mengwei Xu

Wangsong Yin

Dongqi Cai

Rongjie Yi

Daliang Xu

...

2024/1/16

LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism

arXiv preprint arXiv:2404.09526

Bingyang Wu

Shengyu Liu

Yinmin Zhong

Peng Sun

Xuanzhe Liu

...

2024/4/15

Jolteon: Unleashing the Promise of Serverless for Serverless Workflows

Zili Zhang

Chao Jin

Xin Jin

2024

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

arXiv preprint arXiv:2402.15627

Ziheng Jiang

Haibin Lin

Yinmin Zhong

Qi Huang

Yangrui Chen

...

2024/2/23

ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning

Diandian Gu

Yihao Zhao

Yinmin Zhong

Yifan Xiong

Zhenhua Han

...

2023

Fast, Approximate Vector Queries on Very Large Unstructured Datasets

Zili Zhang

Chao Jin

Linpeng Tang

Xuanzhe Liu

Xin Jin

2023

FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing

ACM Transactions on Software Engineering and Methodology

Xuanzhe Liu

Jinfeng Wen

Zhenpeng Chen

Ding Li

Junkai Chen

...

2023/7/22

Klotski: Efficient and Safe Network Migration of Large Production Datacenters

Yihao Zhao

Xiaoxiang Zhang

Hang Zhu

Ying Zhang

Zhaodong Wang

...

2023/9/10

Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors

Daliang Xu

Qing Li

Mengwei Xu

Kang Huang

Gang Huang

...

2023/11/20

Transparent GPU Sharing in Container Clouds for Deep Learning Workloads

Bingyang Wu

Zili Zhang

Zhihao Bai

Xuanzhe Liu

Xin Jin

2023/4

Rise of the planet of serverless computing: A systematic review

Jinfeng Wen

Zhenpeng Chen

Xin Jin

Xuanzhe Liu

2023/7/21

Understanding the Micro-Behaviors of Hardware Offloaded Network Stacks with Lumina

Zhuolong Yu

Bowen Su

Wei Bai

Shachar Raindel

Vladimir Braverman

...

2023/9/10

Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless Computing

Sheng Qi

Xuanzhe Liu

Xin Jin

2023/10/23

Muxflow: Efficient and safe gpu sharing in large-scale production deep learning clusters

arXiv preprint arXiv:2303.13803

Yihao Zhao

Xin Liu

Shufan Liu

Xiang Li

Yibo Zhu

...

2023/3/24

See List of Professors in Xin Jin University(Peking University)

Co-Authors

H-index: 153
Ion Stoica

Ion Stoica

University of California, Berkeley

H-index: 117
Jennifer Rexford

Jennifer Rexford

Princeton University

H-index: 67
Sylvia Ratnasamy

Sylvia Ratnasamy

University of California, Berkeley

H-index: 60
David Walker

David Walker

Princeton University

H-index: 45
Nate Foster

Nate Foster

Cornell University

H-index: 44
Jie Gao

Jie Gao

Rutgers, The State University of New Jersey

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