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2020 – today

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2024
[j66]
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Hao Fan, Yiliang Ye, Shadi Ibrahim, Zhuo Huang, Xingru Li, Weibin Xue, Song Wu, Chen Yu, Xuanhua Shi, Hai Jin:
QoS-pro: A QoS-enhanced Transaction Processing Framework for Shared SSDs. ACM Trans. Archit. Code Optim. 21(1): 6:1-6:25 (2024)
[j65]
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Qiang-Sheng Hua, Hongen Wang, Hai Jin, Xuanhua Shi:
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index. IEEE Trans. Big Data 10(5): 595-608 (2024)
[j64]
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Hai Jin, Zhanyang Zhu, Ligang He, Yuhao Li, Yusheng Hua, Xuanhua Shi:
MMDataLoader: Reusing Preprocessed Data Among Concurrent Model Training Tasks. IEEE Trans. Computers 73(2): 510-522 (2024)
[c89]
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Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, Xuanhua Shi:
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. ACL (Findings) 2024: 2336-2353
[c88]
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Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin:
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. ACL (Findings) 2024: 10507-10521
[c87]
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Zongze Jiang, Ming Wen, Jialun Cao, Xuanhua Shi, Hai Jin:
Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation. ASE 2024: 1408-1420
[c86]
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  - conf/sosp/LiuQC0HS0Y24
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Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang:
Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor. SOSP 2024: 160-177
[i13]
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  - journals/corr/abs-2403-16792
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Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Xuanhua Shi, Hai Jin:
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. CoRR abs/2403.16792 (2024)
[i12]
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  - journals/corr/abs-2406-03718
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Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin:
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. CoRR abs/2406.03718 (2024)
[i11]
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  - journals/corr/abs-2406-19651
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Xianzhi Zeng, Zhuoyan Wu, Xinjing Hu, Xuanhua Shi, Shixuan Sun, Shuhao Zhang:
CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data Ingestion. CoRR abs/2406.19651 (2024)
[i10]
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  - journals/corr/abs-2412-01333
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Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu:
Can Large Language Models Serve as Evaluators for Code Summarization? CoRR abs/2412.01333 (2024)
2023
[j63]
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  - journals/dke/ZangHYSJ23
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Shaoqi Zang, Sheng Han, Pingpeng Yuan, Xuanhua Shi, Hai Jin:
HyperBit: A temporal graph store for fast answering queries. Data Knowl. Eng. 144: 102128 (2023)
[j62]
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  - journals/pacmmod/WangWWZSL23
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Xin Wang, Zhengru Wang, Zhenyu Wu, Shuhao Zhang, Xuanhua Shi, Li Lu:
Data Stream Clustering: An In-depth Empirical Study. Proc. ACM Manag. Data 1(2): 162:1-162:26 (2023)
[j61]
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Zhigao Zheng, Xuanhua Shi, Hai Jin:
Parallel Overlapping Community Detection Algorithm on GPU. IEEE Trans. Big Data 9(2): 677-687 (2023)
[j60]
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  - journals/tc/WuSHJ23
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Wenchao Wu, Xuanhua Shi, Ligang He, Hai Jin:
TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs. IEEE Trans. Computers 72(9): 2571-2584 (2023)
[j59]
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Xuanhua Shi, Xuan Peng, Ligang He, Yunfei Zhao, Hai Jin:
Waterwave: A GPU Memory Flow Engine for Concurrent DNN Training. IEEE Trans. Computers 72(10): 2938-2950 (2023)
[j58]
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  - journals/tkde/WangZLQSXSH23
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Guoren Wang, Yue Zeng, Rong-Hua Li, Hongchao Qin, Xuanhua Shi, Yubin Xia, Xuequn Shang, Liang Hong:
Temporal Graph Cube. IEEE Trans. Knowl. Data Eng. 35(12): 13015-13030 (2023)
[j57]
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Wenchao Wu, Xuanhua Shi, Ligang He, Hai Jin:
TurboMGNN: Improving Concurrent GNN Training Tasks on GPU With Fine-Grained Kernel Fusion. IEEE Trans. Parallel Distributed Syst. 34(6): 1968-1981 (2023)
[c85]
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  - conf/asplos/MaXSM0K0ZSH23
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Weiliang Ma, Qian Xiong, Xuanhua Shi, Xiaosong Ma, Hai Jin, Haozhao Kuang, Mingyu Gao, Ye Zhang, Haichen Shen, Weifang Hu:
GZKP: A GPU Accelerated Zero-Knowledge Proof System. ASPLOS (2) 2023: 340-353
[c84]
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  - conf/emnlp/LiuTL00S23
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Zhengtao Liu, Lei Tan, Mengfan Li, Yao Wan, Hai Jin, Xuanhua Shi:
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2023: 3825-3836
[c83]
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  - conf/ijcai/Chen0S023
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Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin:
Incremental and Decremental Optimal Margin Distribution Learning. IJCAI 2023: 3523-3531
[c82]
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Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin:
Scalable Optimal Margin Distribution Machine. IJCAI 2023: 4362-4370
[i9]
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  - journals/corr/abs-2305-04837
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Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin:
Scalable Optimal Margin Distribution Machine. CoRR abs/2305.04837 (2023)
[i8]
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  - journals/corr/abs-2312-04900
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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
[j56]
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  - journals/bdr/LiuSJ22
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Zhiqiang Liu, Xuanhua Shi, Hai Jin:
Data-Efficient Performance Modeling for Configurable Big Data Frameworks by Reducing Information Overlap Between Training Examples. Big Data Res. 30: 100358 (2022)
[j55]
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  - journals/chinaf/DaiPSHXJ22
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Hulin Dai, Xuan Peng, Xuanhua Shi, Ligang He, Qian Xiong, Hai Jin:
Reveal training performance mystery between TensorFlow and PyTorch in the single GPU environment. Sci. China Inf. Sci. 65(1) (2022)
[j54]
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Yusheng Hua, Xuanhua Shi, Kang He, Hai Jin, Wei Xie, Ligang He, Yong Chen:
LoomIO: Object-Level Coordination in Distributed File Systems. IEEE Trans. Parallel Distributed Syst. 33(8): 1799-1810 (2022)
[j53]
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  - journals/tsusc/JinWHSWS22
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Hai Jin, Yao Wu, Hong Huang, Yu Song, HaoHui Wei, Xuanhua Shi:
Modeling Information Diffusion With Sequential Interactive Hypergraphs. IEEE Trans. Sustain. Comput. 7(3): 644-655 (2022)
[c81]
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  - conf/ijcai/Cao0S022
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Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin:
Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution. IJCAI 2022: 2836-2842
[c80]
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  - conf/pkdd/WeiHZSJ22
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HaoHui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin:
Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network. ECML/PKDD (2) 2022: 122-137
2021
[j52]
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  - journals/chinaf/HuaQYSJ21
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Qiang-Sheng Hua, Lixiang Qian, Dongxiao Yu, Xuanhua Shi, Hai Jin:
A nearly optimal distributed algorithm for computing the weighted girth. Sci. China Inf. Sci. 64(11) (2021)
[j51]
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  - journals/concurrency/YangSLJHJ21
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Ying Yang, Xuanhua Shi, Wei Liu, Hai Jin, Yusheng Hua, Yan Jiang:
DDL-QoS: A dynamic I/O scheduling strategy of QoS for HPC applications. Concurr. Comput. Pract. Exp. 33(7): 1 (2021)
[j50]
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Hong Huang, Zhexue Chen, Xuanhua Shi, Chenxu Wang, Zepeng He, Hai Jin, Mingxin Zhang, Zongya Li:
China in the eyes of news media: a case study under COVID-19 epidemic. Frontiers Inf. Technol. Electron. Eng. 22(11): 1443-1457 (2021)
[j49]
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Hai Jin, Wenchao Wu, Xuanhua Shi, Ligang He, Bing Bing Zhou:
TurboDL: Improving the CNN Training on GPU With Fine-Grained Multi-Streaming Scheduling. IEEE Trans. Computers 70(4): 552-565 (2021)
[j48]
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Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin:
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. ACM Trans. Knowl. Discov. Data 15(1): 5:1-5:27 (2021)
[j47]
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Zhigao Zheng, Xuanhua Shi, Ligang He, Hai Jin, Shuo Wei, Hulin Dai, Xuan Peng:
Feluca: A Two-Stage Graph Coloring Algorithm With Color-Centric Paradigm on GPU. IEEE Trans. Parallel Distributed Syst. 32(1): 160-173 (2021)
[c79]
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Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin:
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. ACL/IJCNLP (Findings) 2021: 1474-1483
[i7]
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  - journals/corr/abs-2103-07042
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Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin:
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. CoRR abs/2103.07042 (2021)
[i6]
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  - journals/corr/abs-2106-03315
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Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin:
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. CoRR abs/2106.03315 (2021)
[i5]
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  - journals/corr/abs-2110-10347
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Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin:
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. CoRR abs/2110.10347 (2021)
2020
[j46]
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  - journals/access/LiLSJ20
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Mingyu Li, Zhiqiang Liu, Xuanhua Shi, Hai Jin:
ATCS: Auto-Tuning Configurations of Big Data Frameworks Based on Generative Adversarial Nets. IEEE Access 8: 50485-50496 (2020)
[j45]
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  - journals/concurrency/LiaoZZZJSL20
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Xiaofei Liao, Long Zheng, Binsheng Zhang, Yu Zhang, Hai Jin, Xuanhua Shi, Yi Lin:
Dynamic cluster strategy for hierarchical rollback-recovery protocols in MPI HPC applications. Concurr. Comput. Pract. Exp. 32(3) (2020)
[j44]
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Zhiqiang Liu, Xuanhua Shi, Ligang He, Dongxiao Yu, Hai Jin, Chen Yu, Hulin Dai, Zezhao Feng:
A parameter-level parallel optimization algorithm for large-scale spatio-temporal data mining. Distributed Parallel Databases 38(3): 739-765 (2020)
[j43]
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  - journals/taco/ShiLHJLC20
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Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen:
Optimizing the SSD Burst Buffer by Traffic Detection. ACM Trans. Archit. Code Optim. 17(1): 8:1-8:26 (2020)
[c78]
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  - conf/asplos/PengSD0MXYQ20
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Xuan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian:
Capuchin: Tensor-based GPU Memory Management for Deep Learning. ASPLOS 2020: 891-905
[c77]
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  - conf/cloud/ShiFLZ0JHLL20
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Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li:
ByteSeries: an in-memory time series database for large-scale monitoring systems. SoCC 2020: 60-73
[c76]
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Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin:
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. DASFAA (2) 2020: 498-515
[c75]
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  - conf/icde/ShiZHH0SZHLZ20
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Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou:
Maxson: Reduce Duplicate Parsing Overhead on Raw Data. ICDE 2020: 1621-1632

2010 – 2019

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2019
[j42]
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Yusheng Hua, Xuanhua Shi, Hai Jin, Wei Liu, Yan Jiang, Yong Chen, Ligang He:
Software-defined QoS for I/O in exascale computing. CCF Trans. High Perform. Comput. 1(1): 49-59 (2019)
[j41]
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Qiang-Sheng Hua, Xuanhua Shi, Yinglong Xia, Howie Huang:
Guest Editorial: Special Issue on Algorithms and Systems on Big Graph Processing. Int. J. Parallel Program. 47(4): 641-643 (2019)
[j40]
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Dong Dai, Forrest Sheng Bao, Jiang Zhou, Xuanhua Shi, Yong Chen:
Vectorizing disks blocks for efficient storage system via deep learning. Parallel Comput. 82: 75-90 (2019)
[j39]
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Hai Jin, Chen Qian, Dongxiao Yu, Qiang-Sheng Hua, Xuanhua Shi, Xia Xie:
Parallel computation of hierarchical closeness centrality and applications. World Wide Web 22(6): 3047-3064 (2019)
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Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang:
Big Data - 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings. Communications in Computer and Information Science 1120, Springer 2019, ISBN 978-981-15-1898-0 [contents]
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Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen:
Optimizing the SSD Burst Buffer by Traffic Detection. CoRR abs/1902.05746 (2019)
2018
[j38]
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Weizhong Qiang, Jiawei Yang, Hai Jin, Xuanhua Shi:
PrivGuard: Protecting Sensitive Kernel Data From Privilege Escalation Attacks. IEEE Access 6: 46584-46594 (2018)
[j37]
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Xuanhua Shi, Zhigao Zheng, Yongluan Zhou, Hai Jin, Ligang He, Bo Liu, Qiang-Sheng Hua:
Graph Processing on GPUs: A Survey. ACM Comput. Surv. 50(6): 81:1-81:35 (2018)
[j36]
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Hai Jin, Bo Liu, Wenbin Jiang, Yang Ma, Xuanhua Shi, Bingsheng He, Shaofeng Zhao:
Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures. ACM Trans. Archit. Code Optim. 15(3): 37:1-37:26 (2018)
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Xuanhua Shi, Xuan Luo, Junling Liang, Peng Zhao, Sheng Di, Bingsheng He, Hai Jin:
Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model. IEEE Trans. Knowl. Data Eng. 30(1): 29-42 (2018)
[j34]
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Xuanhua Shi, Zhixiang Ke, Yongluan Zhou, Hai Jin, Lu Lu, Xiong Zhang, Ligang He, Zhenyu Hu, Fei Wang:
Deca: A Garbage Collection Optimizer for In-Memory Data Processing. ACM Trans. Comput. Syst. 36(1): 3:1-3:47 (2018)
[j33]
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Hai Jin, Na Wang, Dongxiao Yu, Qiang-Sheng Hua, Xuanhua Shi, Xia Xie:
Core Maintenance in Dynamic Graphs: A Parallel Approach Based on Matching. IEEE Trans. Parallel Distributed Syst. 29(11): 2416-2428 (2018)
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Tarek Menouer, Christophe Cérin, Walid Saad, Xuanhua Shi:
A Resource Allocation Framework with Qualitative and Quantitative SLA Classes. Euro-Par Workshops 2018: 69-81
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Fei Wang, Xuanhua Shi, Dongxiao Yu, Zhixiang Ke, Hai Jin, Song Wu:
SDPA: An Optimizer for Program Analysis of Data-Parallel Applications. HPCC/SmartCity/DSS 2018: 14-21
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Wenke Li, Xuanhua Shi, Hong Huang, Peng Zhao, Hai Jin, Dong Dai, Yong Chen:
GRAM: A GPU-Based Property Graph Traversal and Query for HPC Rich Metadata Management. NPC 2018: 77-89
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Bo Liu, Wenbin Jiang, Hai Jin, Xuanhua Shi, Yang Ma:
Layrub: layer-centric GPU memory reuse and data migration in extreme-scale deep learning systems. PPoPP 2018: 405-406
2017
[j32]
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Huiming Lv, Zhiyuan Shao, Lang Li, Xuanhua Shi, Hai Jin:
A task-based approach for finding SCCs in real-world graphs on external memory. Concurr. Comput. Pract. Exp. 29(24) (2017)
[j31]
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Yuanzhen Geng, Xuanhua Shi, Cheng Pei, Hai Jin, Wenbin Jiang:
LCS: An Efficient Data Eviction Strategy for Spark. Int. J. Parallel Program. 45(6): 1285-1297 (2017)
[j30]
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Wenyong Zhong, Jianhua Sun, Hao Chen, Jun Xiao, Zhiwen Chen, Cheng Chang, Xuanhua Shi:
Optimizing Graph Processing on GPUs. IEEE Trans. Parallel Distributed Syst. 28(4): 1149-1162 (2017)
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Duoqiang Wang, Wei Dai, Chi Zhang, Xuanhua Shi, Hai Jin:
TPS: An Efficient VM Scheduling Algorithm for HPC Applications in Cloud. GPC 2017: 152-164
[c69]
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Qiang-Sheng Hua, Ming Ai, Hai Jin, Dongxiao Yu, Xuanhua Shi:
Distributively Computing Random Walk Betweenness Centrality in Linear Time. ICDCS 2017: 764-774
[c68]
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Xuanhua Shi, Ming Li, Wei Liu, Hai Jin, Chen Yu, Yong Chen:
SSDUP: a traffic-aware ssd burst buffer for HPC systems. ICS 2017: 27:1-27:10
[c67]
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Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, Song Wu:
MURS: Mitigating Memory Pressure in Service-Oriented Data Processing System. ICWS 2017: 428-435
[c66]
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Peng Zhao, Xuan Luo, Jiang Xiao, Xuanhua Shi, Hai Jin:
Puffin: Graph Processing System on Multi-GPUs. SOCA 2017: 50-57
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Xuanhua Shi, Hong An, Chao Wang, Mahmut T. Kandemir, Hai Jin:
Network and Parallel Computing - 14th IFIP WG 10.3 International Conference, NPC 2017, Hefei, China, October 20-21, 2017, Proceedings. Lecture Notes in Computer Science 10578, Springer 2017, ISBN 978-3-319-68209-9 [contents]
[i3]
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Na Wang, Dongxiao Yu, Hai Jin, Qiang-Sheng Hua, Xuanhua Shi, Xia Xie:
Core Maintenance in Dynamic Graphs: A Parallel Approach based on Matching. CoRR abs/1703.03900 (2017)
[i2]
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Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, Song Wu:
MURS: Mitigating Memory Pressure in Service-oriented Data Processing Systems. CoRR abs/1703.08981 (2017)
2016
[j29]
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Yuan Liu, Xuanhua Shi, Hai Jin:
Runtime-aware adaptive scheduling in stream processing. Concurr. Comput. Pract. Exp. 28(14): 3830-3843 (2016)
[j28]
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Lu Lu, Xuanhua Shi, Yongluan Zhou, Xiong Zhang, Hai Jin, Cheng Pei, Ligang He, Yuanzhen Geng:
Lifetime-Based Memory Management for Distributed Data Processing Systems. Proc. VLDB Endow. 9(12): 936-947 (2016)
[j27]
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Yunjie Du, Xuanhua Shi, Hai Jin, Song Wu, Laurence T. Yang:
FITDOC: fast virtual machines checkpointing with delta memory compression. J. Supercomput. 72(9): 3328-3347 (2016)
[j26]
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Song Wu, Like Zhou, Huahua Sun, Hai Jin, Xuanhua Shi:
Poris: A Scheduler for Parallel Soft Real-Time Applications in Virtualized Environments. IEEE Trans. Parallel Distributed Syst. 27(3): 841-854 (2016)
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Bo Liu, Xuanhua Shi, Hai Jin:
Measuring Directional Semantic Similarity with Multi-features. APWeb (1) 2016: 543-554
[c64]
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Zhiqiang Liu, Xuanhua Shi, Hai Jin:
Exploiting Sample Diversity in Distributed Machine Learning Systems. CCGrid 2016: 187-192
[c63]
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Ming Li, Xuanhua Shi, Wei Liu, Hai Jin, Yong Chen:
SSDUP: An Efficient SSD Write Buffer Using Pipeline. CLUSTER 2016: 166-167
[c62]
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Xiong Zhang, Linxi Zeng, Xuanhua Shi, Song Wu, Xia Xie, Hai Jin:
HCOpt: An Automatic Optimizer for Configuration Parameters of Hadoop. HCC 2016: 599-610
[c61]
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Qiang-Sheng Hua, Haoqiang Fan, Ming Ai, Lixiang Qian, Yangyang Li, Xuanhua Shi, Hai Jin:
Nearly Optimal Distributed Algorithm for Computing Betweenness Centrality. ICDCS 2016: 271-280
[c60]
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Huiming Lv, Zhiyuan Shao, Xuanhua Shi, Hai Jin:
Finding SCCs in Real-World Graphs on External Memory: A Task-Based Approach. ISPDC 2016: 48-55
[c59]
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Ran Zheng, Genmao Yu, Hai Jin, Xuanhua Shi, Qin Zhang:
Conch: A Cyclic MapReduce Model for Iterative Applications. PDP 2016: 264-271
[c58]
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Qiang-Sheng Hua, Haoqiang Fan, Lixiang Qian, Ming Ai, Yangyang Li, Xuanhua Shi, Hai Jin:
Brief Announcement: A Tight Distributed Algorithm for All Pairs Shortest Paths and Applications. SPAA 2016: 439-441
[i1]
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Lu Lu, Xuanhua Shi, Yongluan Zhou, Xiong Zhang, Hai Jin, Cheng Pei, Ligang He, Yuanzhen Geng:
Lifetime-Based Memory Management for Distributed Data Processing Systems. CoRR abs/1602.01959 (2016)
2015
[j25]
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Ching-Hsien Hsu, Xiaoming Li, Xuanhua Shi:
Network and Parallel Computing. Int. J. Parallel Program. 43(3): 311-315 (2015)
[j24]
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Hai Jin, Xinhou Wang, Song Wu, Sheng Di, Xuanhua Shi:
Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform. IEEE Trans. Cloud Comput. 3(4): 436-448 (2015)
[j23]
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Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, Song Wu:
Mammoth: Gearing Hadoop Towards Memory-Intensive MapReduce Applications. IEEE Trans. Parallel Distributed Syst. 26(8): 2300-2315 (2015)
[j22]
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Song Wu, Haibao Chen, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi:
Synchronization-Aware Scheduling for Virtual Clusters in Cloud. IEEE Trans. Parallel Distributed Syst. 26(10): 2890-2902 (2015)
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Lu Lu, Xuanhua Shi, Hai Jin:
Towards Truly Elastic Distributed Graph Computing in the Cloud. APSCC 2015: 300-309
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Cheng Pei, Xuanhua Shi, Hai Jin:
Improving the Memory Efficiency of In-Memory MapReduce Based HPC Systems. ICA3PP (1) 2015: 170-184
[c55]
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Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong:
Optimization of asynchronous graph processing on GPU with hybrid coloring model. PPoPP 2015: 271-272
[c54]
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  - conf/smartcity/HeSSFTLSJMSCA15
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Haiwu He, Anthony Simonet, Julio Anjos Jose-Francisco Saray, Gilles Fedak, Bing Tang, Lu Lu, Xuanhua Shi, Hai Jin, Mircea Moca, Gheorghe Cosmin Silaghi, Asma Ben Cheikh, Heithem Abbes:
D3-MapReduce: Towards MapReduce for Distributed and Dynamic Data Sets. SmartCity 2015: 637-642
2014
[j21]
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Lu Lu, Xuanhua Shi, Hai Jin, Qiuyue Wang, Daxing Yuan, Song Wu:
Morpho: A decoupled MapReduce framework for elastic cloud computing. Future Gener. Comput. Syst. 36: 80-90 (2014)
[j20]
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Hai Jin, Li Deng, Song Wu, Xuanhua Shi, Hanhua Chen, Xiaodong Pan:
MECOM: Live migration of virtual machines by adaptively compressing memory pages. Future Gener. Comput. Syst. 38: 23-35 (2014)
[j19]
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Pingpeng Yuan, Changfeng Xie, Hai Jin, Ling Liu, Guang Yang, Xuanhua Shi:
Dynamic and fast processing of queries on large-scale RDF data. Knowl. Inf. Syst. 41(2): 311-334 (2014)
[c53]
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Zhixiang Wang, Xuanhua Shi, Hai Jin, Song Wu, Yong Chen:
Iteration Based Collective I/O Strategy for Parallel I/O Systems. CCGRID 2014: 287-294
[c52]
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Jiangshao Gu, Xuanhua Shi:
An adaptive PSO based on motivation mechanism and acceleration restraint operator. IEEE Congress on Evolutionary Computation 2014: 1328-1336
[c51]
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Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di, Song Wu:
GIRAFFE: A scalable distributed coordination service for large-scale systems. CLUSTER 2014: 38-47
[c50]
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Yunjie Du, Xuanhua Shi, Hai Jin, Song Wu:
FITDOC: Fast Virtual Machines Checkpointing with Delta Memory Compression. CSE 2014: 291-298
[c49]
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Haibao Chen, Song Wu, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi:
Communication-driven scheduling for virtual clusters in cloud. HPDC 2014: 125-128
[c48]
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Xin Yu, Xuanhua Shi, Hai Jin, Xiaofei Liao, Song Wu, Xiaoming Li:
Page Classifier and Placer: A Scheme of Managing Hybrid Caches. NPC 2014: 10-22
[c47]
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Song Wu, Like Zhou, Danqing Fu, Hai Jin, Xuanhua Shi:
A Real-Time Scheduling Framework Based on Multi-core Dynamic Partitioning in Virtualized Environment. NPC 2014: 195-207
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Ching-Hsien Hsu, Xuanhua Shi, Valentina Salapura:
Network and Parallel Computing - 11th IFIP WG 10.3 International Conference, NPC 2014, Ilan, Taiwan, September 18-20, 2014. Proceedings. Lecture Notes in Computer Science 8707, Springer 2014, ISBN 978-3-662-44916-5 [contents]
2013
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