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2020 – today
- 2024
[j90]Farhan Amin
, Ligang He, Gyu Sang Choi:
City Hotspot Identification Using Smart Cyber-Physical Social System. IEEE Access 12: 60556-60567 (2024)- [j89]Yujue Zhou, Jie Jiang, Shuang-Hua Yang, Ligang He, Yulong Ding, Kai Liu, Guozhong Zhu, Yali Qing:
A Data-Distillation-Enhanced Autoencoder for Detecting Anomalous Gas Consumption. IEEE Internet Things J. 11(2): 3473-3483 (2024) - [j88]Wenjun Lin, Weiwei Lin, Jianpeng Lin, Haocheng Zhong, Jiangtao Wang, Ligang He:
A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control. Sustain. Comput. Informatics Syst. 42: 100977 (2024) - [j87]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) - [j86]Mohammed Alghamdi, Ligang He, Shenyuan Ren, Mohammed Maray:
Efficient Parallel Processing of All-Pairs Shortest Paths on Multicore and GPU Systems. IEEE Trans. Consumer Electron. 70(1): 2896-2908 (2024) - [c76]Hui Yu, Yu Zhang, Ligang He, Donghao He, Qikun Li, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu:
CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. DAC 2024: 109:1-109:6 - [c75]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 - [c74]Da Yan, Ligang He:
DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks. ICCS (1) 2024: 19-32 - 2023
- [j85]Rong Zhao, Zhuoer Gu, Xie Han, Ligang He, Fusheng Sun, Shichao Jiao:
Multi-view stereo network with point attention. Appl. Intell. 53(22): 26622-26636 (2023) - [j84]Weiwei Lin, Yufeng Zhang, Wentai Wu, Simon Fong, Ligang He, Jia Chang:
An adaptive workload-aware power consumption measuring method for servers in cloud data centers. Computing 105(3): 515-538 (2023) - [j83]Xufeng Lin, Chang-Tsun Li, Scott D. Adams, Abbas Z. Kouzani, Richard Jiang, Ligang He, Yongjian Hu, Michael Vernon, Egan H. Doeven, Lawrence Webb, Todd Mcclellan, Adam Guskic:
Self-Supervised Leaf Segmentation under Complex Lighting Conditions. Pattern Recognit. 135: 109021 (2023) - [j82]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) - [j81]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) - [j80]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) - [j79]Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple:
FedProf: Selective Federated Learning Based on Distributional Representation Profiling. IEEE Trans. Parallel Distributed Syst. 34(6): 1942-1953 (2023) - [j78]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) - [c73]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 - [c72]Zhihao Dai, Ligang He, Shuang-Hua Yang, Matthew Leeke:
Revealing Ongoing Sensor Attacks in Industrial Control System Via Setpoint Modification. DASC/PiCom/CBDCom/CyberSciTech 2023: 191-199 - [c71]Zhiyan Chen, Ming Tao, Xueqiang Li, Ligang He:
Service-Aware Cooperative Task Offloading and Scheduling in Multi-access Edge Computing Empowered IoT. ICA3PP (2) 2023: 327-346 - 2022
- [j77]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) - [j76]Saurav Sthapit, Subhash Lakshminarayana, Ligang He, Gregory Epiphaniou, Carsten Maple:
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks. IEEE Internet Things J. 9(14): 12351-12363 (2022) - [j75]Shichao Jiao, Xie Han, Fengguang Xiong, Xiaowen Yang, Huiyan Han, Ligang He, Liqun Kuang:
Deep cross-modal discriminant adversarial learning for zero-shot sketch-based image retrieval. Neural Comput. Appl. 34(16): 13469-13483 (2022) - [j74]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) - [j73]Luyang Li, Ligang He, Jinjin Gao, Xie Han:
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6835-6849 (2022) - [j72]Wentai Wu, Ligang He, Weiwei Lin, Yi Su, Yuhua Cui, Carsten Maple, Stephen A. Jarvis:
Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality. IEEE Trans. Knowl. Data Eng. 34(9): 4147-4160 (2022) - [j71]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) - [j70]Weiwei Lin, Wentai Wu, Ligang He:
An On-Line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers. IEEE Trans. Serv. Comput. 15(2): 766-777 (2022) - [j69]Shenyuan Ren, Ligang He, Junyu Li, Zhiyan Chen, Peng Jiang, Chang-Tsun Li:
Contention-aware prediction for performance impact of task co-running in multicore computers. Wirel. Networks 28(3): 1293-1300 (2022) - [j68]Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao:
vChecker: an application-level demand-based co-scheduler for improving the performance of parallel jobs in Xen. Wirel. Networks 28(3): 1313-1319 (2022) - [c70]Zhiyan Chen, Ligang He:
Allocating Resource Capacities for an Offload-enabled Mobile Edge Cloud System. BigDataService 2022: 14-21 - [c69]Zhiyan Chen, Ligang He:
Modelling Task Offloading Mobile Edge Computing. ICCDE 2022: 15-21 - [c68]Zhiyan Chen, Ligang He:
Modelling the offload of AI Tasks in Mobile Clouds. ICUFN 2022: 266-270 - [c67]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 - [c66]Zhiyan Chen, Ligang He:
Optimizing Offloading Strategies for Mobile Edge Cloud Systems. SmartCloud 2022: 22-31 - [i12]Xufeng Lin, Chang-Tsun Li, Scott D. Adams, Abbas Z. Kouzani, Richard Jiang, Ligang He, Yongjian Hu, Michael Vernon, Egan H. Doeven, Lawrence Webb, Todd Mcclellan, Adam Guskic:
Self-Supervised Leaf Segmentation under Complex Lighting Conditions. CoRR abs/2203.15943 (2022) - [i11]Luyang Li, Ligang He, Jinjin Gao, Xie Han:
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud. CoRR abs/2205.14965 (2022) - 2021
- [j67]Yujue Zhou, Ligang He, Shuang-Hua Yang:
Developing normalization schemes for data isolated distributed deep learning. IET Cyper-Phys. Syst.: Theory & Appl. 6(3): 105-115 (2021) - [j66]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) - [j65]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen A. Jarvis:
SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead. IEEE Trans. Computers 70(5): 655-668 (2021) - [j64]Wentai Wu, Weiwei Lin, Ligang He, Guangxin Wu, Ching-Hsien Hsu:
A Power Consumption Model for Cloud Servers Based on Elman Neural Network. IEEE Trans. Cloud Comput. 9(4): 1268-1277 (2021) - [j63]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) - [j62]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao:
Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems. IEEE Trans. Parallel Distributed Syst. 32(7): 1539-1551 (2021) - [j61]Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya:
An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee. IEEE Trans. Parallel Distributed Syst. 32(7): 1552-1564 (2021) - [c65]Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu:
DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. HPCA 2021: 371-384 - [c64]Hao Wu, Ligang He, Chang-Tsun Li, Junyu Li, Wentai Wu, Carsten Maple:
MGGAN: Improving sample generations of Generative Adversarial Networks. HPCC/DSS/SmartCity/DependSys 2021: 369-376 - [c63]Keyang Cheng, Qing Liu, Rabia Tahir, Lubamba Kasangu Eric, Ligang He:
Multi-Camera Logical Topology Inference via Conditional Probability Graph Convolution Network. ICME 2021: 1-6 - [c62]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 - [i10]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song:
FedProf: Optimizing Federated Learning with Dynamic Data Profiling. CoRR abs/2102.01733 (2021) - [i9]Wentai Wu, Ligang He, Weiwei Lin:
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data. CoRR abs/2109.06565 (2021) - [i8]Saurav Sthapit, Subhash Lakshminarayana, Ligang He, Gregory Epiphaniou, Carsten Maple:
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks. CoRR abs/2111.05259 (2021) - 2020
- [j60]Xiaowen Yang, Xie Han, Qingde Li, Ligang He, Min Pang, Caiqin Jia:
Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes. IEEE Access 8: 40861-40880 (2020) - [j59]Min Pang, Ligang He, Liqun Kuang, Min Chang, Zhiying He, Xie Han:
Developing a Parametric 3D Face Model Editing Algorithm. IEEE Access 8: 167209-167224 (2020) - [j58]Min Pang, Ligang He, Fengguang Xiong, Xiaowen Yang, Zhiying He, Xie Han:
Developing an Image-Based 3D Model Editing Method. IEEE Access 8: 167950-167964 (2020) - [j57]Caiqin Jia, Ligang He, Xiaowen Yang, Xingcheng Han, Bobo Chang, Xie Han:
Developing a Reassembling Algorithm for Broken Objects. IEEE Access 8: 220320-220334 (2020) - [j56]Xuxun Liu, Anfeng Liu, John Tadrous, Ligang He, Bo Ji, Zhongming Zheng:
IEEE Access Special Section: Intelligent Data Sensing, Collection, and Dissemination in Mobile Computing. IEEE Access 8: 222248-222254 (2020) - [j55]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) - [j54]Huanzhou Zhu, Ligang He, Matthew Leeke, Rui Mao:
WolfGraph: The edge-centric graph processing on GPU. Future Gener. Comput. Syst. 111: 552-569 (2020) - [j53]Yikun Hu, Jinghong Li, Ligang He:
A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints. Neural Comput. Appl. 32(10): 5681-5693 (2020) - [j52]Yilian Zhou, Ligang He, Bin Wang, Yi Su, Hao Chen:
MCAF: Developing an Annotation-Based Offloading Framework for Mobile Cloud Computing. Sci. Program. 2020: 5304612:1-5304612:9 (2020) - [j51]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) - [j50]Bin Yuan, Huan Zhao, Chen Lin, Deqing Zou, Laurence Tianruo Yang, Hai Jin, Ligang He, Shui Yu:
Minimizing Financial Cost of DDoS Attack Defense in Clouds With Fine-Grained Resource Management. IEEE Trans. Netw. Sci. Eng. 7(4): 2541-2554 (2020) - [c61]Junyu Li, Ligang He, Shenyuan Ren, Rui Mao:
Developing a Loss Prediction-based Asynchronous Stochastic Gradient Descent Algorithm for Distributed Training of Deep Neural Networks. ICPP 2020: 47:1-47:10 - [i7]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao:
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. CoRR abs/2007.14374 (2020) - [i6]Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya:
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee. CoRR abs/2011.01783 (2020)
2010 – 2019
- 2019
- [j49]Haitao He, Xiaobing Sun, Hongdou He, Guyu Zhao, Ligang He, Jiadong Ren:
A Novel Multimodal-Sequential Approach Based on Multi-View Features for Network Intrusion Detection. IEEE Access 7: 183207-183221 (2019) - [j48]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) - [j47]Huanzhou Zhu, Ligang He, Songling Fu, Rui Li, Xie Han, Zhangjie Fu, Yongjian Hu, Chang-Tsun Li:
WolfPath: Accelerating Iterative Traversing-Based Graph Processing Algorithms on GPU. Int. J. Parallel Program. 47(4): 644-667 (2019) - [j46]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) - [j45]Tiansheng Huang, Weiwei Lin, Yin Li, Ligang He, Shaoliang Peng:
A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. J. Signal Process. Syst. 91(10): 1191-1204 (2019) - [c60]Mohammed Alghamdi, Ligang He, Yujue Zhou, Junyu Li:
Developing the Parallelization Methods for Finding the All-Pairs Shortest Paths in Distributed Memory Architecture. IPCCC 2019: 1-8 - [c59]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 - [i5]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) - [i4]Wentai Wu, Ligang He, Weiwei Lin:
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. CoRR abs/1908.01146 (2019) - [i3]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis:
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. CoRR abs/1910.01355 (2019) - 2018
- [j44]Huanzhou Zhu, Zhuoer Gu, Haiming Zhao, Keyang Chen, Chang-Tsun Li, Ligang He:
Developing a pattern discovery method in time series data and its GPU acceleration. Big Data Min. Anal. 1(4): 266-283 (2018) - [j43]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) - [j42]Zhiwen Chen, Xin He, Jianhua Sun, Hao Chen, Ligang He:
Concurrent hash tables on multicore machines: Comparison, evaluation and implications. Future Gener. Comput. Syst. 82: 127-141 (2018) - [j41]Bin Wang, Chao Chen, Ligang He, Bo Gao, Jiadong Ren, Zhangjie Fu, Songling Fu, Yongjian Hu, Chang-Tsun Li:
Modelling and developing conflict-aware scheduling on large-scale data centres. Future Gener. Comput. Syst. 86: 995-1007 (2018) - [j40]Wentai Wu, Weiwei Lin, Ching-Hsien Hsu, Ligang He:
Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights. Future Gener. Comput. Syst. 86: 1351-1367 (2018) - [j39]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) - [c58]Hui Xia, Ligang He, Bin Wang, Cheng Chang, Xie Han, Carsten Maple:
Developing Offloading-Enabled Application Development Frameworks for Android Mobile Devices. HPCC/SmartCity/DSS 2018: 416-421 - [c57]Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao:
vPlacer: A Co-scheduler for Optimizing the Performance of Parallel Jobs in Xen. ICA3PP (1) 2018: 19-33 - [c56]Shenyuan Ren, Ligang He, Junyu Li, Chao Chen, Zhuoer Gu, Zhiyan Chen:
Scheduling DAG Applications for Time Sharing Systems. ICA3PP (2) 2018: 272-286 - [c55]Junyu Li, Ligang He, Shenyuan Ren, Rui Mao:
Data Fine-Pruning: A Simple Way to Accelerate Neural Network Training. NPC 2018: 114-125 - [c54]Peng Jiang, Ligang He, Shenyuan Ren, Junyu Li, Yuhua Cui:
vGrouper: Optimizing the Performance of Parallel Jobs in Xen by Increasing Synchronous Execution of Virtual Machines. NPC 2018: 148-152 - [c53]Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Ligang He, Bingsheng He, Haikun Liu:
CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing. USENIX ATC 2018: 441-452 - 2017
- [j38]Shenyuan Ren, Ligang He, Huanzhou Zhu, Zhuoer Gu, Wei Song, Jiandong Shang:
Developing power-aware scheduling mechanisms for computing systems virtualized by Xen. Concurr. Comput. Pract. Exp. 29(3) (2017) - [j37]Cheng Chang, Ligang He, Nadeem Chaudhary, Songling Fu, Hao Chen, Jianhua Sun, Kenli Li, Zhangjie Fu, Ming-Liang Xu:
Performance analysis and optimization for workflow authorization. Future Gener. Comput. Syst. 67: 194-205 (2017) - [j36]Zhihui Du, Ligang He, Yinong Chen, Yu Xiao, Peng Gao, Tongzhou Wang:
Robot Cloud: Bridging the power of robotics and cloud computing. Future Gener. Comput. Syst. 74: 337-348 (2017) - [j35]Zhuoer Gu, Ligang He, Cheng Chang, Jianhua Sun, Hao Chen, Chenlin Huang:
Developing an Efficient Pattern Discovery Method for CPU Utilizations of Computers. Int. J. Parallel Program. 45(4): 853-878 (2017) - [j34]Weiwei Lin, Siyao Xu, Ligang He, Jin Li:
Multi-resource scheduling and power simulation for cloud computing. Inf. Sci. 397: 168-186 (2017) - [j33]Zhihui Du, Rong Ge, Victor W. Lee, Richard W. Vuduc, David A. Bader, Ligang He:
Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. Sci. Program. 2017: 8686971:1-8686971:13 (2017) - [c52]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 - [c51]Chenlin Huang, Chuanwang Hou, Ligang He, Huadong Dai, Yan Ding:
Policy-Customized: A New Abstraction for Building Security as a Service. ISPAN-FCST-ISCC 2017: 203-210 - [c50]Peng Jiang, Ligang He:
Developing Co-scheduling Mechanisms for Virtual Machines in Clouds. ISPAN-FCST-ISCC 2017: 257-264 - [i2]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
- [j32]Chenlin Huang, Ligang He, Xiangke Liao, Huadong Dai, Mengluo Ji:
Developing a trustworthy computing framework for clouds. Int. J. Embed. Syst. 8(1): 59-68 (2016) - [j31]Songling Fu, Ligang He, Xiangke Liao, Chenlin Huang:
Developing the Cloud-integrated data replication framework in decentralized online social networks. J. Comput. Syst. Sci. 82(1): 113-129 (2016) - [j30]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) - [j29]Ligang He, Laurence T. Yang, Zhihui Du, Florin Pop:
Resource Management in Virtualized Clouds. Sci. Program. 2016: 1407940:1-1407940:2 (2016) - [j28]Ligang He, Huanzhou Zhu, Stephen A. Jarvis:
Developing Graph-Based Co-Scheduling Algorithms on Multicore Computers. IEEE Trans. Parallel Distributed Syst. 27(6): 1617-1632 (2016) - [j27]Jianhua Sun, Hao Chen, Ligang He, Huailiang Tan:
Redundant Network Traffic Elimination with GPU Accelerated Rabin Fingerprinting. IEEE Trans. Parallel Distributed Syst. 27(7): 2130-2142 (2016) - [c49]Chuanwang Hou, Chenlin Huang, Huadong Dai, Yan Ding, Ligang He, Mengluo Ji:
Enabling User-Policy-Confined VM Migration in Trusted Cloud Computing. FAS*W@SASO/ICCAC 2016: 66-71 - [i1]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
- [j26]Bo Gao, Ligang He, Stephen A. Jarvis:
Offload Decision Models and the Price of Anarchy in Mobile Cloud Application Ecosystems. IEEE Access 3: 3125-3137 (2015) - [j25]Hui Huang, Ligang He, Xueguang Chen, Minghui Yu, Zhiwu Wang:
Automatic Composition of Heterogeneous Models Based on Semantic Web Services. Int. J. Parallel Program. 43(3): 339-358 (2015) - [j24]Wenping Xu, Zongjun Wang, Liu Hong, Ligang He, Xueguang Chen:
The uncertainty recovery analysis for interdependent infrastructure systems using the dynamic inoperability input-output model. Int. J. Syst. Sci. 46(7): 1299-1306 (2015) - [j23]Songling Fu, Ligang He, Xiangke Liao, Chenlin Huang, Kenli Li, Cheng Chang:
Analyzing and Boosting the Data Availability in Decentralized Online Social Networks. Int. J. Web Serv. Res. 12(2): 47-72 (2015) - [j22]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) - [j21]Yuming Xu, Kenli Li, Ligang He, Longxin Zhang, Keqin Li:
A Hybrid Chemical Reaction Optimization Scheme for Task Scheduling on Heterogeneous Computing Systems. IEEE Trans. Parallel Distributed Syst. 26(12): 3208-3222 (2015) - [j20]Songling Fu, Ligang He, Chenlin Huang, Xiangke Liao, Kenli Li:
Performance Optimization for Managing Massive Numbers of Small Files in Distributed File Systems. IEEE Trans. Parallel Distributed Syst. 26(12): 3433-3448 (2015) - [c48]Bo Gao, Ligang He, Xin Lu, Cheng Chang, Kenli Li, Keqin Li:
Developing Energy-Aware Task Allocation Schemes in Cloud-Assisted Mobile Workflows. CIT/IUCC/DASC/PICom 2015: 1266-1273 - [c47]Zhuoer Gu, Ligang He, Cheng Chang, Jianhua Sun, Hao Chen, Chenlin Huang:
An efficient method for motif discovery in CPU host load. FSKD 2015: 1027-1034 - [c46]Huanzhou Zhu, Ligang He, Bo Gao, Kenli Li, Jianhua Sun, Hao Chen, Keqin Li:
Modelling and Developing Co-scheduling Strategies on Multicore Processors. ICPP 2015: 220-229 - [c45]Jianhua Sun, Dongwei Zhou, Hao Chen, Cheng Chang, Zhiwen Chen, Wentao Li, Ligang He:
GPSA: A Graph Processing System with Actors. ICPP 2015: 709-718 - [c44]Chao Chen, Ligang He, Bo Gao, Cheng Chang, Kenli Li, Keqin Li:
Modelling and Optimizing Bandwidth Provision for Interacting Cloud Services. ICSOC 2015: 305-315 - [c43]Bo Gao, Ligang He, Chao Chen:
Modelling the Bandwidth Allocation Problem in Mobile Service-Oriented Networks. MSWiM 2015: 307-311 - 2014
- [j19]Ligang He, Deqing Zou, Zhang Zhang, Chao Chen, Hai Jin, Stephen A. Jarvis:
Developing resource consolidation frameworks for moldable virtual machines in clouds. Future Gener. Comput. Syst. 32: 69-81 (2014) - [j18]Ligang He, Nadeem Chaudhary, Stephen A. Jarvis:
Developing security-aware resource management strategies for workflows. Future Gener. Comput. Syst. 38: 61-68 (2014) - [j17]Yan Wang, Kenli Li, Hao Chen, Ligang He, Keqin Li:
Energy-Aware Data Allocation and Task Scheduling on Heterogeneous Multiprocessor Systems With Time Constraints. IEEE Trans. Emerg. Top. Comput. 2(2): 134-148 (2014) - [j16]Hao Chen, Jianhua Sun, Ligang He, Kenli Li, Huailiang Tan:
BAG: Managing GPU as Buffer Cache in Operating Systems. IEEE Trans. Parallel Distributed Syst. 25(6): 1393-1402 (2014) - [c42]Songling Fu, Ligang He, Xiangke Liao, Chenlin Huang, Kenli Li, Cheng Chang, Bo Gao:
Cadros: The Cloud-Assisted Data Replication in Decentralized Online Social Networks. IEEE SCC 2014: 43-50 - [c41]Zhuoer Gu, Cheng Chang, Ligang He, Kenli Li:
Developing a Pattern Discovery Model for Host Load Data. CSE 2014: 265-271 - [c40]Cheng Chang, Ligang He, Hao Chen, Jianhua Sun, Kenli Li:
Performance Analysis and Optimization for Stochastic Workflows Running under Authorization Constraints. CSE 2014: 627-633 - [c39]Songling Fu, Ligang He, Xiangke Liao, Chenlin Huang, Kenli Li, Cheng Chang, Bo Gao:
Modelling and Predicting the Data Availability in Decentralized Online Social Networks. ICWS 2014: 161-168 - [c38]Huanzhou Zhu, Ligang He, Stephen A. Jarvis:
Optimizing Job Scheduling on Multicore Computers. MASCOTS 2014: 61-70 - 2013
- [j15]O. F. J. Perks, D. A. Beckingsale, Simon D. Hammond, I. Miller, J. A. Herdman, A. Vadgama, Abhir H. Bhalerao, Ligang He, Stephen A. Jarvis:
Towards Automated Memory Model Generation Via Event Tracing. Comput. J. 56(2): 156-174 (2013) - [j14]Zhiyuan Shao, Ligang He, Zhiqiang Lu, Hai Jin:
VSA: An offline scheduling analyzer for Xen virtual machine monitor. Future Gener. Comput. Syst. 29(8): 2067-2076 (2013) - [j13]Xuanhua Shi, Hongbo Jiang, Ligang He, Hai Jin, Chonggang Wang, Bo Yu, Xueguang Chen:
Developing an optimized application hosting framework in Clouds. J. Comput. Syst. Sci. 79(8): 1214-1229 (2013) - [j12]Yuming Xu, Kenli Li, Ligang He, Tung Truong Khac:
A DAG scheduling scheme on heterogeneous computing systems using double molecular structure-based chemical reaction optimization. J. Parallel Distributed Comput. 73(9): 1306-1322 (2013) - [j11]Hao Chen, Lin Shi, Jianhua Sun, Kenli Li, Ligang He:
A Fast RPC System for Virtual Machines. IEEE Trans. Parallel Distributed Syst. 24(7): 1267-1276 (2013) - [c37]Chao Chen, Ligang He, Hao Chen, Jianhua Sun, Bo Gao, Stephen A. Jarvis:
Developing communication-aware service placement frameworks in the Cloud economy. CLUSTER 2013: 1-8 - [c36]Nadeem Chaudhary, Ligang He:
Analyzing the performance impact of authorization constraints and optimizing the authorization methods for workflows. HiPC 2013: 1-9 - [c35]Songling Fu, Chenlin Huang, Ligang He, Nadeem Chaudhary, Xiangke Liao, Shazhou Yang, Xiaochuan Wang, Bao Li:
iFlatLFS: Performance optimization for accessing massive small files. HiPC 2013: 10-19 - [c34]Huanzhou Zhu, Ligang He:
A Graph based approach for Co-scheduling jobs on Multi-core computers. ICCSW 2013: 144-151 - [c33]Bo Gao, Ligang He:
Modelling Energy-Aware Task Allocation in Mobile Workflows. MobiQuitous 2013: 89-101 - [c32]Jian Wan, Ligang He, Wei Zhang, Jie Huang, Mingbiao Li, Jilin Zhang, Nan Chen:
Research of Network Coding Data Collection Mechanism Based on the Rough Routing in Wireless Multi-hop Network. WAIM Workshops 2013: 108-117 - 2012
- [j10]Ligang He, Chenlin Huang, Kewei Duan, Kenli Li, Hao Chen, Jianhua Sun, Stephen A. Jarvis:
Modeling and analyzing the impact of authorization on workflow executions. Future Gener. Comput. Syst. 28(8): 1177-1193 (2012) - [j9]Wenping Xu, Liu Hong, Ligang He, Xueguang Chen:
An uncertainty assessment of interdependent infrastructure systems and infrastructure sectors with natural disasters analysis. Int. J. Syst. Syst. Eng. 3(1): 60-75 (2012) - [c31]Limin Liu, Ligang He, Stephen A. Jarvis:
Performance Analysis for Workflow Management Systems under Role-Based Authorization Control. GPC 2012: 323-337 - [c30]Ligang He, Nadeem Chaudhary, Stephen A. Jarvis, Kenli Li:
Allocating Resources for Workflows Running under Authorization Control. GRID 2012: 58-65 - [c29]Bo Gao, Ligang He, Limin Liu, Kenli Li, Stephen A. Jarvis:
From Mobiles to Clouds: Developing Energy-Aware Offloading Strategies for Workflows. GRID 2012: 139-146 - [c28]Kenli Li, Zhimin Zhang, Yuming Xu, Bo Gao, Ligang He:
Chemical Reaction Optimization for Heterogeneous Computing Environments. ISPA 2012: 17-23 - 2011
- [j8]David A. Bacigalupo, Jano I. van Hemert, Xiaoyu Chen, Asif Usmani, Adam P. Chester, Ligang He, Donna N. Dillenberger, Gary B. Wills, Lester Gilbert, Stephen A. Jarvis:
Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models. Simul. Model. Pract. Theory 19(6): 1479-1495 (2011) - [c27]Mohammad A. Alghamdi, Adam P. Chester, Ligang He, Stephen A. Jarvis, James Wen Jun Xue:
Dynamic Active Window Management: A Method for Improving Revenue Generation in Dynamic Enterprise Systems. CIT 2011: 23-28 - [c26]Ligang He, Kewei Duan, Xueguang Chen, Deqing Zou, Zongfen Han, Ali Fadavinia, Stephen A. Jarvis:
Modelling Workflow Executions under Role-Based Authorisation Control. IEEE SCC 2011: 200-208 - [c25]Mohammad A. Alghamdi, Adam P. Chester, Ligang He, Stephen A. Jarvis:
Dynamic Resource Allocation and Active Predictive Models for Enterprise Applications. CLOSER 2011: 551-562 - [c24]Xuanhua Shi, Hongbo Jiang, Ligang He, Hai Jin, Chonggang Wang, Bo Yu, Fei Wang:
EAPAC: An Enhanced Application Placement Framework for Data Centers. CSE 2011: 34-43 - [c23]Ligang He, Deqing Zou, Zhang Zhang, Kai Yang, Hai Jin, Stephen A. Jarvis:
Optimizing Resource Consumptions in Clouds. GRID 2011: 42-49 - [c22]Ligang He, Chenlin Huang, Kenli Li, Hao Chen, Jianhua Sun, Bo Gao, Kewei Duan, Stephen A. Jarvis:
Modelling and analyzing the authorization and execution of video workflows. HiPC 2011: 1-10 - [c21]Zhiyuan Shao, Qiang Wang, Xuejiao Xie, Hai Jin, Ligang He:
Analyzing and Improving MPI Communication Performance in Overcommitted Virtualized Systems. MASCOTS 2011: 381-389
2000 – 2009
- 2009
- [j7]Deqing Zou, Ligang He, Hai Jin, Xueguang Chen:
CRBAC: Imposing multi-grained constraints on the RBAC model in the multi-application environment. J. Netw. Comput. Appl. 32(2): 402-411 (2009) - [c20]Ligang He, Mark Calleja, Mark Hayes, Stephen A. Jarvis:
Performance prediction for running workflows under role-based authorization mechanisms. IPDPS 2009: 1-8 - 2008
- [c19]James Wen Jun Xue, Adam P. Chester, Ligang He, Stephen A. Jarvis:
Dynamic Resource Allocation in Enterprise Systems. ICPADS 2008: 203-212 - [c18]Adam P. Chester, James Wen Jun Xue, Ligang He, Stephen A. Jarvis:
A System for Dynamic Server Allocation in Application Server Clusters. ISPA 2008: 130-139 - 2007
- [c17]Ligang He, James Wen Jun Xue, Stephen A. Jarvis:
Partition-based Profit Optimisation for Multi-class Requests in Clusters of Servers. ICEBE 2007: 131-138 - [c16]James Wen Jun Xue, Ligang He, Stephen A. Jarvis:
A scheduling algorithm for revenue maximisation for cluster-based Internet services. ICPADS 2007: 1-8 - 2006
- [j6]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Hong Jiang, Donna N. Dillenberger, Graham R. Nudd:
Allocating Non-Real-Time and Soft Real-Time Jobs in Multiclusters. IEEE Trans. Parallel Distributed Syst. 17(2): 99-112 (2006) - [c15]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd:
Performance evaluation of scheduling applications with DAG topologies on multiclusters with independent local schedulers. IPDPS 2006 - 2005
- [j5]Daniel P. Spooner, Junwei Cao, Stephen A. Jarvis, Ligang He, Graham R. Nudd:
Performance-Aware Workflow Management for Grid Computing. Comput. J. 48(3): 347-357 (2005) - [j4]Stephen A. Jarvis, Ligang He, Daniel P. Spooner, Graham R. Nudd:
The impact of predictive inaccuracies on execution scheduling. Perform. Evaluation 60(1-4): 127-139 (2005) - [j3]David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Daniel P. Spooner, Donna N. Dillenberger, Graham R. Nudd:
An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications. J. Supercomput. 34(2): 93-111 (2005) - [c14]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, David A. Bacigalupo, Guang Tan, Graham R. Nudd:
Mapping DAG-based applications to multiclusters with background workload. CCGRID 2005: 855-862 - [c13]Guang Tan, Stephen A. Jarvis, Ligang He, Xinuo Chen, Daniel P. Spooner:
ModellingWeb transfer Performance over Asymmetric Networks. ICPADS (2) 2005: 110-114 - [c12]David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Daniel P. Spooner, D. Pelych, Graham R. Nudd:
A Comparative Evaluation of Two Techniques for Predicting the Performance of Dynamic Enterprise Systems. PARCO 2005: 163-170 - [c11]David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Daniel P. Spooner, Graham R. Nudd:
Comparing Layered Queuing and Historical Performance Models of a Distributed Enterprise Application. Parallel and Distributed Computing and Networks 2005: 608-613 - 2004
- [j2]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Xinuo Chen, Graham R. Nudd:
Hybrid performance-based workload management for multiclusters and grids. IEE Proc. Softw. 151(5): 224-231 (2004) - [j1]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd:
Dynamic, capability-driven scheduling of DAG-based real-time jobs in heterogeneous clusters. Int. J. High Perform. Comput. Netw. 2(2/3/4): 165-177 (2004) - [c10]Ligang He, Stephen A. Jarvis, David A. Bacigalupo, Daniel P. Spooner, Xinuo Chen, Graham R. Nudd:
Queueing Network-based Optimisation Techniques for Workload Allocation in Clusters of Computers. IEEE SCC 2004: 207-216 - [c9]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Xinuo Chen, Graham R. Nudd:
Hybrid Performance-Oriented Scheduling of Moldable Jobs with QoS Demands in Multiclusters and Grids. GCC 2004: 217-224 - [c8]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Xinuo Chen, Graham R. Nudd:
Dynamic Scheduling of Parallel Jobs with QoS Demands in Multiclusters and Grids. GRID 2004: 402-409 - [c7]David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Graham R. Nudd:
An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications. IPDPS 2004 - [c6]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd:
Optimising Static Workload Allocation in Multiclusters. IPDPS 2004 - [c5]Ligang He, Stephen A. Jarvis, David A. Bacigalupo, Daniel P. Spooner, Graham R. Nudd:
Performance-Aware Load Balancing for Multiclusters. ISPA 2004: 635-647 - 2003
- [c4]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd:
Dynamic Scheduling of Parallel Real-Time Jobs by Modelling Spare Capabilities in Heterogeneous Clusters. CLUSTER 2003: 2-10 - [c3]Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd:
Performance-Based Dynamic Scheduling of Hybrid Real-Time Applications on a Cluster of Hetrogeneous Workstations. Euro-Par 2003: 195-200 - 2002
- [c2]Hai Jin, Ligang He, Zongfen Han:
Optimal Dispatching and Scheduling for Both Periodic and Aperiodic Jobs in Cluster. ICPP Workshops 2002: 523-530 - 2001
- [c1]Ligang He, Hai Jin, Ying Chen, Zongfen Han:
Optimal Scheduling of Aperiodic Jobs on Cluster. Euro-Par 2001: 764-772
Coauthor Index
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