Jingling Xue

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Hai Jin 0001

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Publications

2025
[j104]
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Long Zheng, Bing Zhu, Pengcheng Yao, Yuhang Zhou, Chengao Pan, Wenju Zhao, Xiaofei Liao, Hai Jin, Jingling Xue:
PRAGA: A Priority-Aware Hardware/Software Co-design for High-Throughput Graph Processing Acceleration. ACM Trans. Archit. Code Optim. 22(1): 24:1-24:27 (2025)
[j102]
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Yi Zhang, Xiaomeng Yi, Yu Huang, Jingrui Yuan, Chuangyi Gui, Dan Chen, Long Zheng, Jianhui Yue, Xiaofei Liao, Hai Jin, Jingling Xue:
Cheetah: Accelerating Dynamic Graph Mining with Grouping Updates. ACM Trans. Archit. Code Optim. 22(2): 79:1-79:26 (2025)
[c181]
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  - conf/eurosys/He000SHCL0X25
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Haiheng He, Haifeng Liu, Long Zheng, Yu Huang, Xinyang Shen, Wenkan Huang, Shuaihu Cao, Xiaofei Liao, Hai Jin, Jingling Xue:
MetaHG: Enhancing HGNN Systems Leveraging Advanced Metapath Graph Abstraction. EuroSys 2025: 492-506
[c180]
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  - conf/hpca/ZhaoYC0LWML0XS025
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Wenju Zhao, Pengcheng Yao, Dan Chen, Long Zheng, Xiaofei Liao, Qinggang Wang, Shaobo Ma, Yu Li, Haifeng Liu, Wenjing Xiao, Yufei Sun, Bing Zhu, Hai Jin, Jingling Xue:
MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows. HPCA 2025: 920-933
2024
[c174]
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  - conf/isca/LiuZHZLWLJX24
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Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liao, Hai Jin, Jingling Xue:
Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. ISCA 2024: 382-395
[c173]
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  - conf/micro/Wang0AXW0YL0X24
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Qinggang Wang, Long Zheng, Zhaozeng An, Shuyi Xiong, Runze Wang, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs. MICRO 2024: 437-450
2023
[c170]
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  - conf/icde/0003YLW0GYL0X23
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Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. ICDE 2023: 53-66
[c169]
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  - conf/isca/Liu00LYYL0X23
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Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue:
Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. ISCA 2023: 66:1-66:13
2022
[j86]
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  - journals/tcad/HuangZYWLLJX22
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Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, Jingling Xue:
ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3567-3578 (2022)
[j85]
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Long Zheng, Haifeng Liu, Yu Huang, Dan Chen, Chaoqiang Liu, Haiheng He, Xiaofei Liao, Hai Jin, Jingling Xue:
A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3745-3756 (2022)
[c157]
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Pengcheng Yao, Long Zheng, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, Jingling Xue:
ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing. HPCA 2022: 199-212
[c156]
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Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue:
Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures. HPCA 2022: 1029-1042
[c154]
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Qinggang Wang, Long Zheng, Ao Hu, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue:
A Data-Centric Accelerator for High-Performance Hypergraph Processing. MICRO 2022: 1326-1341
2020
[j78]
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  - journals/taco/WangZZLJX20
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Qinggang Wang, Long Zheng, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue:
A Conflict-free Scheduler for High-performance Graph Processing on Multi-pipeline FPGAs. ACM Trans. Archit. Code Optim. 17(2): 14:1-14:26 (2020)
[c139]
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  - conf/ipps/00130YZL0X20
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Yu Huang, Long Zheng, Pengcheng Yao, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue:
A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing. IPDPS 2020: 684-695
[c138]
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Long Zheng, Jieshan Zhao, Yu Huang, Qinggang Wang, Zhen Zeng, Jingling Xue, Xiaofei Liao, Hai Jin:
Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications. IPDPS 2020: 696-707
[c135]
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Pengcheng Yao, Long Zheng, Zhen Zeng, Yu Huang, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue:
A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications. MICRO 2020: 895-907
[c134]
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Long Zheng, Xianliang Li, Yaohui Zheng, Yu Huang, Xiaofei Liao, Hai Jin, Jingling Xue, Zhiyuan Shao, Qiang-Sheng Hua:
Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential Scheduling. USENIX ATC 2020: 573-588
2018
[c120]
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  - conf/IEEEpact/0003L0HXL18
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Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He, Jingling Xue, Haikun Liu:
Towards concurrency race debugging: an integrated approach for constraint solving and dynamic slicing. PACT 2018: 26:1-26:13

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