Haikun Liu

About Haikun Liu

Haikun Liu, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at Huazhong University of Science and Technology, specializes in the field of Virtual Machines, In-memory Computing.

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

A hybrid memory architecture supporting fine-grained data migration

I/O Causality Based In-line Data Deduplication for Non-Volatile Memory Enabled Storage Systems

ReHarvest: an ADC Resource-Harvesting Crossbar Architecture for ReRAM-Based DNN Accelerators

Accelerating Loop-Oriented RTL Simulation with Code Instrumentation

SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing

RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network

Software-Defined, Fast and Strongly-Consistent Data Replication for RDMA-Based PM Datastores

ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy

Haikun Liu Information

University

Position

___

Citations(all)

2473

Citations(since 2020)

1108

Cited By

1837

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

40

i10Index(since 2020)

34

Email

University Profile Page

Huazhong University of Science and Technology

Google Scholar

View Google Scholar Profile

Haikun Liu Skills & Research Interests

Virtual Machines

In-memory Computing

Top articles of Haikun Liu

Title

Journal

Author(s)

Publication Date

A hybrid memory architecture supporting fine-grained data migration

Frontiers of Computer Science

Ye Chi

Jianhui Yue

Xiaofei Liao

Haikun Liu

Hai Jin

2024/4

I/O Causality Based In-line Data Deduplication for Non-Volatile Memory Enabled Storage Systems

IEEE Transactions on Computers

Haikun Liu

Xiaozhong Jin

Chencheng Ye

Xiaofei Liao

Hai Jin

...

2024/2/1

ReHarvest: an ADC Resource-Harvesting Crossbar Architecture for ReRAM-Based DNN Accelerators

ACM Transactions on Architecture and Code Optimization

Jiahong Xu

Haikun Liu

Zhuohui Duan

Xiaofei Liao

Hai Jin

...

2024

Accelerating Loop-Oriented RTL Simulation with Code Instrumentation

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Fubing Mao

Yapu Guo

Xiaofei Liao

Hai Jin

Wei Zhang

...

2023/5/17

SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing

Jin Zhao

Yu Zhang

Jian Cheng

Yiyang Wu

Chuyue Ye

...

2023/7/9

RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network

ACM Transactions on Architecture and Code Optimization

Hui Yu

Yu Zhang

Jin Zhao

Yujian Liao

Zhiying Huang

...

2023/12/14

Software-Defined, Fast and Strongly-Consistent Data Replication for RDMA-Based PM Datastores

Haodi Lu

Haikun Liu

Chencheng Ye

Xiaofei Liao

Fubing Mao

...

2023/5/15

ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy

Zihan Jiang

Fubing Mao

Yapu Guo

Xu Liu

Haikun Liu

...

2023/7/9

A compilation tool for computation offloading in ReRAM-based CIM architectures

ACM Transactions on Architecture and Code Optimization

Hai Jin

Bo Lei

Haikun Liu

Xiaofei Liao

Zhuohui Duan

...

2023/10/26

UCat: heterogeneous memory management for unikernels

Frontiers of Computer Science

Chong Tian

Haikun Liu

Xiaofei Liao

Hai Jin

2023/2

Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump

IEEE Transactions on Parallel and Distributed Systems

Xiaozhong Jin

Haikun Liu

Chencheng Ye

Xiaofei Liao

Hai Jin

...

2023/6/29

VIDGCN: Embracing input data diversity with a configurable graph convolutional network accelerator

Journal of Systems Architecture

Hao Ming

Tingting Pan

Dong Chen

Chencheng Ye

Haikun Liu

...

2023/8/1

Revisiting log-structured merging for kv stores in hybrid memory systems

Zhuohui Duan

Jiabo Yao

Haikun Liu

Xiaofei Liao

Hai Jin

...

2023/1/27

FPGA-based acceleration architecture for Apache Spark operators

CCF Transactions on High Performance Computing

Yuanwei Sun

Haikun Liu

Xiaofei Liao

Hai Jin

Yu Zhang

2023/6/23

MorphStream: Scalable Processing of Transactions over Streams on Multicores

arXiv preprint arXiv:2307.12749

Yancan Mao

Jianjun Zhao

Zhonghao Yang

Shuhao Zhang

Haikun Liu

...

2023/7/24

An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs

Scientia Sinica Informationis

Yun Yang

Hui Yu

Jin Zhao

Yu Zhang

Xiaofei Liao

...

2023/1/1

Morphstream: Adaptive scheduling for scalable transactional stream processing on multicores

Yancan Mao

Jianjun Zhao

Shuhao Zhang

Haikun Liu

Volker Markl

2023

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing

ACM Transactions on Architecture and Code Optimization

Jin Zhao

Yu Zhang

Ligang He

Qikun Li

Xiang Zhang

...

2023

CLIMBER: defending phase change memory against inconsistent write attacks

Zhuohui Duan

Haobo Wang

Haikun Liu

Xiaofei Liao

Hai Jin

...

2022/7/10

Egraph: efficient concurrent GPU-based dynamic graph processing

IEEE Transactions on Knowledge and Data Engineering

Yu Zhang

Yuxuan Liang

Jin Zhao

Fubing Mao

Lin Gu

...

2022/5/3

See List of Professors in Haikun Liu University(Huazhong University of Science and Technology)

Co-Authors

H-index: 84
Hai Jin

Hai Jin

Huazhong University of Science and Technology

H-index: 61
Bingsheng He, 何丙胜

Bingsheng He, 何丙胜

National University of Singapore

H-index: 24
Xiaofei Liao

Xiaofei Liao

Huazhong University of Science and Technology

H-index: 13
Liting Hu

Liting Hu

Florida International University

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