Jin Zhao

According to our database, Jin Zhao authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

Computing Power Networking Meets Blockchain: A Reputation-Enhanced Trading Framework for Decentralized IoT Cloud Services.

Li Lin, Jiapeng Wu, Zhi Zhou, Jin Zhao, Peng Li, Jinbo Xiong

IEEE Internet Things J., May, 2024

Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective.

Xiaofei Liao, Wen-Ju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao

J. Comput. Sci. Technol., March, 2024

RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network.

Hui Yu, Yu Zhang, Ligang He, Yingqi Zhao, Xintao Li, Ruida Xin, Jin Zhao, Xiaofei Liao, Haikun Liu, Bingsheng He, Hai Jin

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering.

Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LSGraph: A Locality-centric High-performance Streaming Graph Engine.

Hao Qi, Yiyang Wu, Ligang He, Yu Zhang, Kang Luo, Minzhi Cai, Hai Jin, Zhan Zhang, Jin Zhao

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference.

Hui Yu, Yu Zhang, Andong Tan, Chenze Lu, Jin Zhao, Xiaofei Liao, Hai Jin, Haikun Liu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network.

Hui Yu, Yu Zhang, Ligang He, Donghao He, Qikun Li, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding.

Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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

Hui Yu, Yu Zhang, Jin Zhao, Yujian Liao, Zhiying Huang, Donghao He, Lin Gu, Hai Jin, Xiaofei Liao, Haikun Liu, Bingsheng He, Jianhui Yue

ACM Trans. Archit. Code Optim., December, 2023

Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach.

Hai Jin, Dan Chen, Long Zheng, Yu Huang, Pengcheng Yao, Jin Zhao, Xiaofei Liao, Wenbin Jiang

IEEE Trans. Computers, September, 2023

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

Jin Zhao, Yu Zhang, Ligang He, Qikun Li, Xiang Zhang, Xinyu Jiang, Hui Yu, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ji Zhang, Xianzheng Song, Lin Wang, Jun Zhou

ACM Trans. Archit. Code Optim., September, 2023

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing.

Yu Zhang, Yuxuan Liang, Jin Zhao, Fubing Mao, Lin Gu, Xiaofei Liao, Hai Jin, Haikun Liu, Song Guo, Yangqing Zeng, Hang Hu, Chen Li, Ji Zhang, Biao Wang

IEEE Trans. Knowl. Data Eng., June, 2023

Graph for Science: From API based Programming to Graph Engine based Programming for HPC.

Yu Zhang, Zixiao Wang, Jin Zhao, Yuluo Guo, Hai Jin, Hui Yu, Zhiying Huang, Xuanhua Shi, Xiaofei Liao

CoRR, 2023

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

Jin Zhao, Yu Zhang, Jian Cheng, Yiyang Wu, Chuyue Ye, Hui Yu, Zhiying Huang, Hai Jin, Xiaofei Liao, Lin Gu, Haikun Liu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining.

Hao Qi, Yu Zhang, Ligang He, Kang Luo, Jun Huang, Haoyu Lu, Jin Zhao, Hai Jin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing.

Xiaofei Liao, Jin Zhao, Yu Zhang, Bingsheng He, Ligang He, Hai Jin, Lin Gu

IEEE Trans. Computers, 2022

GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing.

Beibei Si, Yuxuan Liang, Jin Zhao, Yu Zhang, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu

IEEE Trans. Big Data, 2022

Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach.

Hui Yu, Xinyu Jiang, Jin Zhao, Hao Qi, Yu Zhang, Xiaofei Liao, Haikun Liu, Fubing Mao, Hai Jin

J. Comput. Sci. Technol., 2022

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction.

Zixiao Wang, Yuluo Guo, Jin Zhao, Yu Zhang, Hui Yu, Xiaofei Liao, Hai Jin, Biao Wang, Ting Yu

CoRR, 2022

TDGraph: a topology-driven accelerator for high-performance streaming graph processing.

Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021

LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing.

Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu

Proceedings of the International Conference for High Performance Computing, 2021

2019

CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs.

Yu Zhang, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ligang He

ACM Trans. Storage, 2019

GraphM: an efficient storage system for high throughput of concurrent graph processing.

Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen

Proceedings of the International Conference for High Performance Computing, 2019