Ligang He

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 102

Top Venues

CoRR

IEEE Trans. Parallel Distributed Syst.

Future Gener. Comput. Syst.

IEEE Access

Publications

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) (2024)
Da Yan, Ligang He
DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks. ICCS (1) (2024)
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 (2024)
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)
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) (2024)
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) (2024)
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)
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 (2023)
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) (2023)
Rong Zhao, Zhuoer Gu, Xie Han, Ligang He, Fusheng Sun, Shichao Jiao
Multi-view stereo network with point attention. Appl. Intell. 53 (22) (2023)
Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple
FedProf: Selective Federated Learning Based on Distributional Representation Profiling. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
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) (2023)
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) (2023)
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) (2023)
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)
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) (2023)
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)
Zhiyan Chen, Ligang He
Optimizing Offloading Strategies for Mobile Edge Cloud Systems. SmartCloud (2022)
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) (2022)
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) (2022)
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)
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)
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) (2022)
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) (2022)
Zhiyan Chen, Ligang He
Allocating Resource Capacities for an Offload-enabled Mobile Edge Cloud System. BigDataService (2022)
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) (2022)
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) (2022)
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) (2022)
Luyang Li, Ligang He, Jinjin Gao, Xie Han
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud. CoRR (2022)
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) (2022)
Xufeng Lin, Chang-Tsun Li, Scott 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 (2022)
Zhiyan Chen, Ligang He
Modelling the offload of AI Tasks in Mobile Clouds. ICUFN (2022)
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) (2022)
Zhiyan Chen, Ligang He
Modelling Task Offloading Mobile Edge Computing. ICCDE (2022)
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) (2021)
Keyang Cheng, Qing Liu, Rabia Tahir, Lubamba Kasangu Eric, Ligang He
Multi-Camera Logical Topology Inference via Conditional Probability Graph Convolution Network. ICME (2021)
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)
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) (2021)
Saurav Sthapit, Subhash Lakshminarayana, Ligang He, Gregory Epiphaniou, Carsten Maple
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks. CoRR (2021)
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song
FedProf: Optimizing Federated Learning with Dynamic Data Profiling. CoRR (2021)
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) (2021)
Wentai Wu, Ligang He, Weiwei Lin
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data. CoRR (2021)
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)
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) (2021)
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) (2021)
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)
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) (2021)
Yujue Zhou, Ligang He, Shuang-Hua Yang
Developing normalization schemes for data isolated distributed deep learning. IET Cyper-Phys. Syst.: Theory & Appl. 6 (3) (2021)
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) (2020)
Huanzhou Zhu, Ligang He, Matthew Leeke, Rui Mao
WolfGraph: The edge-centric graph processing on GPU. Future Gener. Comput. Syst. 111 (2020)
Min Pang, Ligang He, Liqun Kuang, Min Chang, Zhiying He, Xie Han
Developing a Parametric 3D Face Model Editing Algorithm. IEEE Access 8 (2020)
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 (2020)
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 (2020)
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 (2020)
Yilian Zhou, Ligang He, Bin Wang, Yi Su, Hao Chen
MCAF: Developing an Annotation-Based Offloading Framework for Mobile Cloud Computing. Sci. Program. 2020 (2020)
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. CoRR (2020)
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) (2020)
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) (2020)
Min Pang, Ligang He, Fengguang Xiong, Xiaowen Yang, Zhiying He, Xie Han
Developing an Image-Based 3D Model Editing Method. IEEE Access 8 (2020)
Yikun Hu, Jinghong Li, Ligang He
A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints. Neural Comput. Appl. 32 (10) (2020)
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)
Caiqin Jia, Ligang He, Xiaowen Yang, Xingcheng Han, Bobo Chang, Xie Han
Developing a Reassembling Algorithm for Broken Objects. IEEE Access 8 (2020)
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) (2019)
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 (2019)
Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen
Optimizing the SSD Burst Buffer by Traffic Detection. CoRR (2019)
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) (2019)
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)
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) (2019)
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)
Wentai Wu, Ligang He, Weiwei Lin
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. CoRR (2019)
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. CoRR (2019)
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) (2019)
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) (2019)
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)
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) (2018)
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)
Shenyuan Ren, Ligang He, Junyu Li, Chao Chen, Zhuoer Gu, Zhiyan Chen
Scheduling DAG Applications for Time Sharing Systems. ICA3PP (2) (2018)
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 (2018)
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)
Junyu Li, Ligang He, Shenyuan Ren, Rui Mao
Data Fine-Pruning: A Simple Way to Accelerate Neural Network Training. NPC (2018)
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 (2018)
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 (2018)
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 Annual Technical Conference (2018)
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) (2018)
Peng Jiang, Ligang He
Developing Co-scheduling Mechanisms for Virtual Machines in Clouds. ISPAN-FCST-ISCC (2017)
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 (2017)
Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, Song Wu
MURS: Mitigating Memory Pressure in Service-oriented Data Processing Systems. CoRR (2017)
Weiwei Lin, Siyao Xu, Ligang He, Jin Li
Multi-resource scheduling and power simulation for cloud computing. Inf. Sci. 397 (2017)
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 (2017)
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 (2017)
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)
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) (2017)
Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, Song Wu
MURS: Mitigating Memory Pressure in Service-Oriented Data Processing System. ICWS (2017)
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)
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) (2016)
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)
Chenlin Huang, Ligang He, Xiangke Liao, Huadong Dai, Mengluo Ji
Developing a trustworthy computing framework for clouds. Int. J. Embed. Syst. 8 (1) (2016)
Ligang He, Huanzhou Zhu, Stephen A. Jarvis
Developing Graph-Based Co-Scheduling Algorithms on Multicore Computers. IEEE Trans. Parallel Distributed Syst. 27 (6) (2016)
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 (2016)
Ligang He, Laurence T. Yang, Zhihui Du, Florin Pop
Resource Management in Virtualized Clouds. Sci. Program. 2016 (2016)

Ligang He.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ligang He