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Jin Zhao 0003
Person information
- affiliation: Huazhong University of Science and Technology, School of Computer Science and Technology, Service Computing Technology and System Lab, Cluster and Grid Computing Lab, Wuhan, China
Other persons with the same name
- Jin Zhao — disambiguation page
- Jin Zhao 0001 — Fudan University, School of Computer Science, Shanghai, China (and 1 more)
- Jin Zhao 0002 — Xidian University, Xi'an, Shaanxi, China
- Jin Zhao 0004 — Shanghai Normal University, Shanghai, China
- Jin Zhao 0005 — Shandong University, School of Computer Science and Technology, Qingdao, China
- Jin Zhao 0006 — Hebei University, Baoding, China
- Jin Zhao 0007 — Worcester Polytechnic Institute, Worcester, MA, USA
- Jin Zhao 0008 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
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2020 – today
- 2024
- [j10]Li Lin, Jiapeng Wu, Zhi Zhou, Jin Zhao, Peng Li, Jinbo Xiong:
Computing Power Networking Meets Blockchain: A Reputation-Enhanced Trading Framework for Decentralized IoT Cloud Services. IEEE Internet Things J. 11(10): 17082-17096 (2024) - [j9]Xiaofei Liao, Wen-Ju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao:
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. J. Comput. Sci. Technol. 39(2): 245-266 (2024) - [c7]Hao Qi, Yiyang Wu, Ligang He, Yu Zhang, Kang Luo, Minzhi Cai, Hai Jin, Zhan Zhang, Jin Zhao:
LSGraph: A Locality-centric High-performance Streaming Graph Engine. EuroSys 2024: 33-49 - [c6]Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li:
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. KDD 2024: 1793-1803 - [i4]Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li:
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. CoRR abs/2406.07357 (2024) - [i3]Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia:
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding. CoRR abs/2408.02705 (2024) - 2023
- [j8]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:
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. ACM Trans. Archit. Code Optim. 20(3): 37:1-37:24 (2023) - [j7]Hui Yu, Yu Zhang, Jin Zhao, Yujian Liao, Zhiying Huang, Donghao He, Lin Gu, Hai Jin, Xiaofei Liao, Haikun Liu, Bingsheng He, Jianhui Yue:
RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network. ACM Trans. Archit. Code Optim. 20(4): 53:1-53:26 (2023) - [j6]Hai Jin, Dan Chen, Long Zheng, Yu Huang, Pengcheng Yao, Jin Zhao, Xiaofei Liao, Wenbin Jiang:
Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. IEEE Trans. Computers 72(9): 2628-2640 (2023) - [j5]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:
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. IEEE Trans. Knowl. Data Eng. 35(6): 5823-5836 (2023) - [c5]Hao Qi, Yu Zhang, Ligang He, Kang Luo, Jun Huang, Haoyu Lu, Jin Zhao, Hai Jin:
PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining. DAC 2023: 1-6 - [c4]Jin Zhao, Yu Zhang, Jian Cheng, Yiyang Wu, Chuyue Ye, Hui Yu, Zhiying Huang, Hai Jin, Xiaofei Liao, Lin Gu, Haikun Liu:
SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing. DAC 2023: 1-6 - [i2]Yu Zhang, Zixiao Wang, Jin Zhao, Yuluo Guo, Hai Jin, Hui Yu, Zhiying Huang, Xuanhua Shi, Xiaofei Liao:
Graph for Science: From API based Programming to Graph Engine based Programming for HPC. CoRR abs/2312.04900 (2023) - 2022
- [j4]Hui Yu, Xinyu Jiang, Jin Zhao, Hao Qi, Yu Zhang, Xiaofei Liao, Haikun Liu, Fubing Mao, Hai Jin:
Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach. J. Comput. Sci. Technol. 37(4): 797-813 (2022) - [j3]Beibei Si, Yuxuan Liang, Jin Zhao, Yu Zhang, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu:
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing. IEEE Trans. Big Data 8(5): 1182-1194 (2022) - [j2]Xiaofei Liao, Jin Zhao, Yu Zhang, Bingsheng He, Ligang He, Hai Jin, Lin Gu:
A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing. IEEE Trans. Computers 71(7): 1612-1625 (2022) - [c3]Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu:
TDGraph: a topology-driven accelerator for high-performance streaming graph processing. ISCA 2022: 116-129 - [i1]Zixiao Wang, Yuluo Guo, Jin Zhao, Yu Zhang, Hui Yu, Xiaofei Liao, Hai Jin, Biao Wang, Ting Yu:
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction. CoRR abs/2210.01301 (2022) - 2021
- [c2]Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu:
LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. SC 2021: 45
2010 – 2019
- 2019
- [j1]Yu Zhang, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ligang He:
CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs. ACM Trans. Storage 15(2): 10:1-10:26 (2019) - [c1]Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen:
GraphM: an efficient storage system for high throughput of concurrent graph processing. SC 2019: 3:1-3:14
Coauthor Index
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last updated on 2024-10-31 21:09 CET by the dblp team
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