Ligang He

201 papers A* 6A 15B 9C 12Misc 3Journal 117Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACT-Agent: Affinity-Cross Transformer for Point Cloud Registration via Reinforcement Learning.
IET Image Process.
Fengguang Xiong, Haixin Gong, Qiao Ma, Yingbo Jia, Ruize Guo, Yu Cao, Ligang He, Liqun Kuang, Xie Han
2026 B conf
DTMiner: A Data-Centric System for Efficient Temporal Motif Mining.
PPoPP
Yinbo Hou, Hao Qi, Ligang He, Jin Zhao, Yu Zhang, Hui Yu, Longlong Lin, Lin Gu, Wenbin Jiang, Xiaofei Liao, Hai Jin
2026 J jnl
DeepPAT: Deep position-aware transformer with mixed dataset for robust point cloud registration.
Neurocomputing
Fengguang Xiong, Yu Kong, Ligang He, Liqun Kuang, Xie Han
2026 J jnl
Lethe:Adapter-Augmented Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning.
CoRR
Hanwei Tan, Wentai Hu, Ligang He, Yijun Quan
2026 J jnl
Transforming Threats to Assets: Utilizing Backdoor Attack Models in Federated Learning.
IEEE Trans. Consumer Electron.
Au Ashley Hoi-Ting, Ligang He, Mahshid Mehr Nezhad, Carsten Maple
2025 J jnl
An adversarial reinforcement learning method to enhance server energy efficiency via DVFS and dynamic fan speed management.
Computing
Wenjun Lin, Jianpeng Lin, Jiachun Li, Mian Guo, Ligang He, Weiwei Lin
2025 J jnl
DP-PINN+: A Dual-Phase PINN learning with automated phase division.
J. Comput. Sci.
Da Yan, Ligang He
2025 J jnl
Distributed Autonomous Economic Control Strategy for the AC/DC Interconnected Microgrid Considering the Regulation Boundary of the Consensus Variable.
Int. J. Circuit Theory Appl.
Haoyu Tan, Tingtao Wang, Yicong Wang, Jiaxu Wang, Ligang He, Shihong Miao
2025 J jnl
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data.
CoRR
Wentai Wu, Ligang He, Saiqin Long, Ahmed M. Abdelmoniem, Yingliang Wu, Rui Mao
2025 J jnl
Learning from imbalance: Cross-server power prediction in large data centers via domain adaptation regression.
Expert Syst. Appl.
Ruichao Mo, Weiwei Lin, Guozhi Liu, Haolin Liu, Ligang He
2025 J jnl
Multi-agent dual actor-critic framework for reinforcement learning navigation.
Appl. Intell.
Fengguang Xiong, Yaodan Zhang, Xinhe Kuang, Ligang He, Xie Han
2025 A conf
OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining.
EuroSys
Hao Qi, Kang Luo, Ligang He, Yu Zhang, Minzhi Cai, Jingxin Dai, Bingsheng He, Hai Jin, Zhan Zhang, Jin Zhao, Hengshan Yue, Hui Yu, Xiaofei Liao
2025 A conf
Octopus: Decentralized Workflow-granular Scheduling for Serverless Workflow.
ICDCS
Keming Wang, Liaoliao Feng, Ligang He, Chenlin Huang, Fengyuan Yu, Tao Xie
2025 J jnl
PFed-NS: An Adaptive Personalized Federated Learning Scheme Through Neural Network Segmentation.
IEEE Trans. Computers
Yuchen Liu, Ligang He, Zhigao Zhang, Shenyuan Ren
2025 J jnl
RuYi: Optimizing Burst Buffer Through Automated, Fine-Grained Process-to-BB Mapping.
IEEE Trans. Computers
Yusheng Hua, Xuanhua Shi, Ligang He, Kang He, Teng Zhang, Hai Jin, Yong Chen
2025 J jnl
Satisfactory Medical Consultation based on Terminology-Enhanced Information Retrieval and Emotional In-Context Learning.
CoRR
Kaiwen Zuo, Jing Tang, Hanbing Qin, Binli Luo, Ligang He, Shiyan Tang
2025 A conf
TaGNN: An Efficient Topology-aware Accelerator for High-performance Dynamic Graph Neural Network.
SC
Hui Yu, Yu Zhang, Ligang He, Bing Peng, Jin Zhao, Zixiao Wang, Hao Qi, Hai Jin
2025 — conf
TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU.
ASPLOS (3)
Jin Zhao, Qian Wang, Ligang He, Yu Zhang, Sheng Di, Bingsheng He, Xinlei Wang, Hui Yu, Hao Qi, Longlong Lin, Linchen Yu, Xiaofei Liao, Hai Jin
2025 J jnl
Towards imbalanced regression over distributionally biased data: A fast static approach.
Inf. Softw. Technol.
Wentai Wu, Ligang He, Weiwei Lin, Jinyi Long, Zhiquan Liu, C. L. Philip Chen
2024 J jnl
A Data-Distillation-Enhanced Autoencoder for Detecting Anomalous Gas Consumption.
IEEE Internet Things J.
Yujue Zhou, Jie Jiang, Shuang-Hua Yang, Ligang He, Yulong Ding, Kai Liu, Guozhong Zhu, Yali Qing
2024 J jnl
A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control.
Sustain. Comput. Informatics Syst.
Wenjun Lin, Weiwei Lin, Jianpeng Lin, Haocheng Zhong, Jiangtao Wang, Ligang He
2024 — conf
AIFed: Anomaly-resilient and Imbalance-aware Federated Learning.
ISSSR
Yi Su, Ligang He
2024 A* conf
CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network.
DAC
Hui Yu, Yu Zhang, Ligang He, Donghao He, Qikun Li, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu
2024 J jnl
City Hotspot Identification Using Smart Cyber-Physical Social System.
IEEE Access
Farhan Amin, Ligang He, Gyu Sang Choi
2024 — conf
DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks.
ICCS (1)
Da Yan, Ligang He
2024 J jnl
Efficient Parallel Processing of All-Pairs Shortest Paths on Multicore and GPU Systems.
IEEE Trans. Consumer Electron.
Mohammed Alghamdi, Ligang He, Shenyuan Ren, Mohammed Maray
2024 J jnl
Global semantics correlation transmitting and learning for sketch-based cross-domain visual retrieval.
Complex Intell. Syst.
Shichao Jiao, Xie Han, Liqun Kuang, Fengguang Xiong, Ligang He
2024 A conf
LSGraph: A Locality-centric High-performance Streaming Graph Engine.
EuroSys
Hao Qi, Yiyang Wu, Ligang He, Yu Zhang, Kang Luo, Minzhi Cai, Hai Jin, Zhan Zhang, Jin Zhao
2024 J jnl
MMDataLoader: Reusing Preprocessed Data Among Concurrent Model Training Tasks.
IEEE Trans. Computers
Hai Jin, Zhanyang Zhu, Ligang He, Yuhao Li, Yusheng Hua, Xuanhua Shi
2024 A* conf
RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network.
MICRO
Hui Yu, Yu Zhang, Ligang He, Yingqi Zhao, Xintao Li, Ruida Xin, Jin Zhao, Xiaofei Liao, Haikun Liu, Bingsheng He, Hai Jin
2024 A* conf
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series.
NeurIPS
Zhihao Dai, Ligang He, Shuanghua Yang, Matthew Leeke
2023 J jnl
An adaptive workload-aware power consumption measuring method for servers in cloud data centers.
Computing
Weiwei Lin, Yufeng Zhang, Wentai Wu, Simon Fong, Ligang He, Jia Chang
2023 J jnl
FedProf: Selective Federated Learning Based on Distributional Representation Profiling.
IEEE Trans. Parallel Distributed Syst.
Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple
2023 J jnl
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing.
ACM Trans. Archit. Code Optim.
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
2023 J jnl
Multi-view stereo network with point attention.
Appl. Intell.
Rong Zhao, Zhuoer Gu, Xie Han, Ligang He, Fusheng Sun, Shichao Jiao
2023 A* conf
PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining.
DAC
Hao Qi, Yu Zhang, Ligang He, Kang Luo, Jun Huang, Haoyu Lu, Jin Zhao, Hai Jin
2023 — conf
Revealing Ongoing Sensor Attacks in Industrial Control System Via Setpoint Modification.
DASC/PiCom/CBDCom/CyberSciTech
Zhihao Dai, Ligang He, Shuang-Hua Yang, Matthew Leeke
2023 J jnl
Self-Supervised Leaf Segmentation under Complex Lighting Conditions.
Pattern Recognit.
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
2023 — conf
Service-Aware Cooperative Task Offloading and Scheduling in Multi-access Edge Computing Empowered IoT.
ICA3PP (2)
Zhiyan Chen, Ming Tao, Xueqiang Li, Ligang He
2023 J jnl
TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs.
IEEE Trans. Computers
Wenchao Wu, Xuanhua Shi, Ligang He, Hai Jin
2023 J jnl
TurboMGNN: Improving Concurrent GNN Training Tasks on GPU With Fine-Grained Kernel Fusion.
IEEE Trans. Parallel Distributed Syst.
Wenchao Wu, Xuanhua Shi, Ligang He, Hai Jin
2023 J jnl
Waterwave: A GPU Memory Flow Engine for Concurrent DNN Training.
IEEE Trans. Computers
Xuanhua Shi, Xuan Peng, Ligang He, Yunfei Zhao, Hai Jin
2022 J jnl
A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing.
IEEE Trans. Computers
Xiaofei Liao, Jin Zhao, Yu Zhang, Bingsheng He, Ligang He, Hai Jin, Lin Gu
2022 — conf
Allocating Resource Capacities for an Offload-enabled Mobile Edge Cloud System.
BigDataService
Zhiyan Chen, Ligang He
2022 J jnl
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.
Weiwei Lin, Wentai Wu, Ligang He
2022 J jnl
Contention-aware prediction for performance impact of task co-running in multicore computers.
Wirel. Networks
Shenyuan Ren, Ligang He, Junyu Li, Zhiyan Chen, Peng Jiang, Chang-Tsun Li
2022 J jnl
Deep cross-modal discriminant adversarial learning for zero-shot sketch-based image retrieval.
Neural Comput. Appl.
Shichao Jiao, Xie Han, Fengguang Xiong, Xiaowen Yang, Huiyan Han, Ligang He, Liqun Kuang
2022 J jnl
Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality.
IEEE Trans. Knowl. Data Eng.
Wentai Wu, Ligang He, Weiwei Lin, Yi Su, Yuhua Cui, Carsten Maple, Stephen A. Jarvis
2022 J jnl
LoomIO: Object-Level Coordination in Distributed File Systems.
IEEE Trans. Parallel Distributed Syst.
Yusheng Hua, Xuanhua Shi, Kang He, Hai Jin, Wei Xie, Ligang He, Yong Chen
2022 — conf
Modelling Task Offloading Mobile Edge Computing.
ICCDE
Zhiyan Chen, Ligang He
2022 — conf
Modelling the offload of AI Tasks in Mobile Clouds.
ICUFN
Zhiyan Chen, Ligang He
2022 — conf
Optimizing Offloading Strategies for Mobile Edge Cloud Systems.
SmartCloud
Zhiyan Chen, Ligang He
2022 J jnl
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud.
CoRR
Luyang Li, Ligang He, Jinjin Gao, Xie Han
2022 J jnl
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud.
IEEE Trans. Circuits Syst. Video Technol.
Luyang Li, Ligang He, Jinjin Gao, Xie Han
2022 J jnl
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks.
IEEE Internet Things J.
Saurav Sthapit, Subhash Lakshminarayana, Ligang He, Gregory Epiphaniou, Carsten Maple
2022 J jnl
Reveal training performance mystery between TensorFlow and PyTorch in the single GPU environment.
Sci. China Inf. Sci.
Hulin Dai, Xuan Peng, Xuanhua Shi, Ligang He, Qian Xiong, Hai Jin
2022 J jnl
Self-Supervised Leaf Segmentation under Complex Lighting Conditions.
CoRR
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
2022 A* conf
TDGraph: a topology-driven accelerator for high-performance streaming graph processing.
ISCA
Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu
2022 J jnl
vChecker: an application-level demand-based co-scheduler for improving the performance of parallel jobs in Xen.
Wirel. Networks
Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao
2021 J jnl
A Power Consumption Model for Cloud Servers Based on Elman Neural Network.
IEEE Trans. Cloud Comput.
Wentai Wu, Weiwei Lin, Ligang He, Guangxin Wu, Ching-Hsien Hsu
2021 J jnl
Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems.
IEEE Trans. Parallel Distributed Syst.
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao
2021 J jnl
An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee.
IEEE Trans. Parallel Distributed Syst.
Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
2021 A* conf
DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing.
HPCA
Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu
2021 J jnl
Developing normalization schemes for data isolated distributed deep learning.
IET Cyper-Phys. Syst.: Theory & Appl.
Yujue Zhou, Ligang He, Shuang-Hua Yang
2021 J jnl
FedProf: Optimizing Federated Learning with Dynamic Data Profiling.
CoRR
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song
2021 J jnl
Feluca: A Two-Stage Graph Coloring Algorithm With Color-Centric Paradigm on GPU.
IEEE Trans. Parallel Distributed Syst.
Zhigao Zheng, Xuanhua Shi, Ligang He, Hai Jin, Shuo Wei, Hulin Dai, Xuan Peng
2021 A conf
LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing.
SC
Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu
2021 — conf
MGGAN: Improving sample generations of Generative Adversarial Networks.
HPCC/DSS/SmartCity/DependSys
Hao Wu, Ligang He, Chang-Tsun Li, Junyu Li, Wentai Wu, Carsten Maple
2021 A conf
Multi-Camera Logical Topology Inference via Conditional Probability Graph Convolution Network.
ICME
Keyang Cheng, Qing Liu, Rabia Tahir, Lubamba Kasangu Eric, Ligang He
2021 J jnl
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks.
CoRR
Saurav Sthapit, Subhash Lakshminarayana, Ligang He, Gregory Epiphaniou, Carsten Maple
2021 J jnl
SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead.
IEEE Trans. Computers
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen A. Jarvis
2021 J jnl
TurboDL: Improving the CNN Training on GPU With Fine-Grained Multi-Streaming Scheduling.
IEEE Trans. Computers
Hai Jin, Wenchao Wu, Xuanhua Shi, Ligang He, Bing Bing Zhou
2021 J jnl
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data.
CoRR
Wentai Wu, Ligang He, Weiwei Lin
2020 J jnl
A parameter-level parallel optimization algorithm for large-scale spatio-temporal data mining.
Distributed Parallel Databases
Zhiqiang Liu, Xuanhua Shi, Ligang He, Dongxiao Yu, Hai Jin, Chen Yu, Hulin Dai, Zezhao Feng
2020 J jnl
A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints.
Neural Comput. Appl.
Yikun Hu, Jinghong Li, Ligang He
2020 J jnl
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems.
CoRR
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao
2020 J jnl
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee.
CoRR
Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
2020 B conf
Developing a Loss Prediction-based Asynchronous Stochastic Gradient Descent Algorithm for Distributed Training of Deep Neural Networks.
ICPP
Junyu Li, Ligang He, Shenyuan Ren, Rui Mao
2020 J jnl
Developing a Parametric 3D Face Model Editing Algorithm.
IEEE Access
Min Pang, Ligang He, Liqun Kuang, Min Chang, Zhiying He, Xie Han
2020 J jnl
Developing a Reassembling Algorithm for Broken Objects.
IEEE Access
Caiqin Jia, Ligang He, Xiaowen Yang, Xingcheng Han, Bobo Chang, Xie Han
2020 J jnl
Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes.
IEEE Access
Xiaowen Yang, Xie Han, Qingde Li, Ligang He, Min Pang, Caiqin Jia
2020 J jnl
Developing an Image-Based 3D Model Editing Method.
IEEE Access
Min Pang, Ligang He, Fengguang Xiong, Xiaowen Yang, Zhiying He, Xie Han
2020 J jnl
IEEE Access Special Section: Intelligent Data Sensing, Collection, and Dissemination in Mobile Computing.
IEEE Access
Xuxun Liu, Anfeng Liu, John Tadrous, Ligang He, Bo Ji, Zhongming Zheng
2020 J jnl
MCAF: Developing an Annotation-Based Offloading Framework for Mobile Cloud Computing.
Sci. Program.
Yilian Zhou, Ligang He, Bin Wang, Yi Su, Hao Chen
2020 J jnl
Minimizing Financial Cost of DDoS Attack Defense in Clouds With Fine-Grained Resource Management.
IEEE Trans. Netw. Sci. Eng.
Bin Yuan, Huan Zhao, Chen Lin, Deqing Zou, Laurence Tianruo Yang, Hai Jin, Ligang He, Shui Yu
2020 J jnl
Optimizing the SSD Burst Buffer by Traffic Detection.
ACM Trans. Archit. Code Optim.
Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen
2020 J jnl
WolfGraph: The edge-centric graph processing on GPU.
Future Gener. Comput. Syst.
Huanzhou Zhu, Ligang He, Matthew Leeke, Rui Mao
2019 J jnl
A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing.
J. Signal Process. Syst.
Tiansheng Huang, Weiwei Lin, Yin Li, Ligang He, Shaoliang Peng
2019 J jnl
A Novel Multimodal-Sequential Approach Based on Multi-View Features for Network Intrusion Detection.
IEEE Access
Haitao He, Xiaobing Sun, Hongdou He, Guyu Zhao, Ligang He, Jiadong Ren
2019 J jnl
CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs.
ACM Trans. Storage
Yu Zhang, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ligang He
2019 C conf
Developing the Parallelization Methods for Finding the All-Pairs Shortest Paths in Distributed Memory Architecture.
IPCCC
Mohammed Alghamdi, Ligang He, Yujue Zhou, Junyu Li
2019 A conf
GraphM: an efficient storage system for high throughput of concurrent graph processing.
SC
Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen
2019 J jnl
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series.
CoRR
Wentai Wu, Ligang He, Weiwei Lin
2019 J jnl
Optimizing the SSD Burst Buffer by Traffic Detection.
CoRR
Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen
2019 J jnl
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead.
CoRR
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis
2019 J jnl
Software-defined QoS for I/O in exascale computing.
CCF Trans. High Perform. Comput.
Yusheng Hua, Xuanhua Shi, Hai Jin, Wei Liu, Yan Jiang, Yong Chen, Ligang He
2019 J jnl
WolfPath: Accelerating Iterative Traversing-Based Graph Processing Algorithms on GPU.
Int. J. Parallel Program.
Huanzhou Zhu, Ligang He, Songling Fu, Rui Li, Xie Han, Zhangjie Fu, Yongjian Hu, Chang-Tsun Li
2018 — conf
CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing.
USENIX ATC
Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Ligang He, Bingsheng He, Haikun Liu
2018 J jnl
Concurrent hash tables on multicore machines: Comparison, evaluation and implications.
Future Gener. Comput. Syst.
Zhiwen Chen, Xin He, Jianhua Sun, Hao Chen, Ligang He
2018 C conf
Data Fine-Pruning: A Simple Way to Accelerate Neural Network Training.
NPC
Junyu Li, Ligang He, Shenyuan Ren, Rui Mao
2018 J jnl
Deca: A Garbage Collection Optimizer for In-Memory Data Processing.
ACM Trans. Comput. Syst.
Xuanhua Shi, Zhixiang Ke, Yongluan Zhou, Hai Jin, Lu Lu, Xiong Zhang, Ligang He, Zhenyu Hu, Fei Wang
2018 — conf
Developing Offloading-Enabled Application Development Frameworks for Android Mobile Devices.
HPCC/SmartCity/DSS
Hui Xia, Ligang He, Bin Wang, Cheng Chang, Xie Han, Carsten Maple
2018 J jnl
Developing a pattern discovery method in time series data and its GPU acceleration.
Big Data Min. Anal.
Huanzhou Zhu, Zhuoer Gu, Haiming Zhao, Keyang Chen, Chang-Tsun Li, Ligang He
2018 J jnl
Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights.
Future Gener. Comput. Syst.
Wentai Wu, Weiwei Lin, Ching-Hsien Hsu, Ligang He
2018 J jnl
Graph Processing on GPUs: A Survey.
ACM Comput. Surv.
Xuanhua Shi, Zhigao Zheng, Yongluan Zhou, Hai Jin, Ligang He, Bo Liu, Qiang-Sheng Hua
2018 J jnl
Modelling and developing conflict-aware scheduling on large-scale data centres.
Future Gener. Comput. Syst.
Bin Wang, Chao Chen, Ligang He, Bo Gao, Jiadong Ren, Zhangjie Fu, Songling Fu, Yongjian Hu, Chang-Tsun Li
2018 — conf
Scheduling DAG Applications for Time Sharing Systems.
ICA3PP (2)
Shenyuan Ren, Ligang He, Junyu Li, Chao Chen, Zhuoer Gu, Zhiyan Chen
2018 C conf
vGrouper: Optimizing the Performance of Parallel Jobs in Xen by Increasing Synchronous Execution of Virtual Machines.
NPC
Peng Jiang, Ligang He, Shenyuan Ren, Junyu Li, Yuhua Cui
2018 — conf
vPlacer: A Co-scheduler for Optimizing the Performance of Parallel Jobs in Xen.
ICA3PP (1)
Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao
2017 — conf
Developing Co-scheduling Mechanisms for Virtual Machines in Clouds.
ISPAN-FCST-ISCC
Peng Jiang, Ligang He
2017 J jnl
Developing an Efficient Pattern Discovery Method for CPU Utilizations of Computers.
Int. J. Parallel Program.
Zhuoer Gu, Ligang He, Cheng Chang, Jianhua Sun, Hao Chen, Chenlin Huang
2017 J jnl
Developing power-aware scheduling mechanisms for computing systems virtualized by Xen.
Concurr. Comput. Pract. Exp.
Shenyuan Ren, Ligang He, Huanzhou Zhu, Zhuoer Gu, Wei Song, Jiandong Shang
2017 A conf
MURS: Mitigating Memory Pressure in Service-Oriented Data Processing System.
ICWS
Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, Song Wu
2017 J jnl
MURS: Mitigating Memory Pressure in Service-oriented Data Processing Systems.
CoRR
Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, Song Wu
2017 J jnl
Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems.
Sci. Program.
Zhihui Du, Rong Ge, Victor W. Lee, Richard W. Vuduc, David A. Bader, Ligang He
2017 J jnl
Multi-resource scheduling and power simulation for cloud computing.
Inf. Sci.
Weiwei Lin, Siyao Xu, Ligang He, Jin Li
2017 J jnl
Performance analysis and optimization for workflow authorization.
Future Gener. Comput. Syst.
Cheng Chang, Ligang He, Nadeem Chaudhary, Songling Fu, Hao Chen, Jianhua Sun, Kenli Li, Zhangjie Fu, Ming-Liang Xu
2017 — conf
Policy-Customized: A New Abstraction for Building Security as a Service.
ISPAN-FCST-ISCC
Chenlin Huang, Chuanwang Hou, Ligang He, Huadong Dai, Yan Ding
2017 J jnl
Robot Cloud: Bridging the power of robotics and cloud computing.
Future Gener. Comput. Syst.
Zhihui Du, Ligang He, Yinong Chen, Yu Xiao, Peng Gao, Tongzhou Wang
2016 J jnl
Developing Graph-Based Co-Scheduling Algorithms on Multicore Computers.
IEEE Trans. Parallel Distributed Syst.
Ligang He, Huanzhou Zhu, Stephen A. Jarvis
2016 J jnl
Developing a trustworthy computing framework for clouds.
Int. J. Embed. Syst.
Chenlin Huang, Ligang He, Xiangke Liao, Huadong Dai, Mengluo Ji
2016 J jnl
Developing the Cloud-integrated data replication framework in decentralized online social networks.
J. Comput. Syst. Sci.
Songling Fu, Ligang He, Xiangke Liao, Chenlin Huang
2016 — conf
Enabling User-Policy-Confined VM Migration in Trusted Cloud Computing.
FAS*W@SASO/ICCAC
Chuanwang Hou, Chenlin Huang, Huadong Dai, Yan Ding, Ligang He, Mengluo Ji
2016 J jnl
Lifetime-Based Memory Management for Distributed Data Processing Systems.
CoRR
Lu Lu, Xuanhua Shi, Yongluan Zhou, Xiong Zhang, Hai Jin, Cheng Pei, Ligang He, Yuanzhen Geng
2016 J jnl
Lifetime-Based Memory Management for Distributed Data Processing Systems.
Proc. VLDB Endow.
Lu Lu, Xuanhua Shi, Yongluan Zhou, Xiong Zhang, Hai Jin, Cheng Pei, Ligang He, Yuanzhen Geng
2016 J jnl
Redundant Network Traffic Elimination with GPU Accelerated Rabin Fingerprinting.
IEEE Trans. Parallel Distributed Syst.
Jianhua Sun, Hao Chen, Ligang He, Huailiang Tan
2016 J jnl
Resource Management in Virtualized Clouds.
Sci. Program.
Ligang He, Laurence T. Yang, Zhihui Du, Florin Pop
2015 J jnl
A Hybrid Chemical Reaction Optimization Scheme for Task Scheduling on Heterogeneous Computing Systems.
IEEE Trans. Parallel Distributed Syst.
Yuming Xu, Kenli Li, Ligang He, Longxin Zhang, Keqin Li
2015 — conf
An efficient method for motif discovery in CPU host load.
FSKD
Zhuoer Gu, Ligang He, Cheng Chang, Jianhua Sun, Hao Chen, Chenlin Huang
2015 J jnl
Analyzing and Boosting the Data Availability in Decentralized Online Social Networks.
Int. J. Web Serv. Res.
Songling Fu, Ligang He, Xiangke Liao, Chenlin Huang, Kenli Li, Cheng Chang
2015 J jnl
Automatic Composition of Heterogeneous Models Based on Semantic Web Services.
Int. J. Parallel Program.
Hui Huang, Ligang He, Xueguang Chen, Minghui Yu, Zhiwu Wang
2015 — conf
Developing Energy-Aware Task Allocation Schemes in Cloud-Assisted Mobile Workflows.
CIT/IUCC/DASC/PICom
Bo Gao, Ligang He, Xin Lu, Cheng Chang, Kenli Li, Keqin Li
2015 B conf
GPSA: A Graph Processing System with Actors.
ICPP
Jianhua Sun, Dongwei Zhou, Hao Chen, Cheng Chang, Zhiwen Chen, Wentao Li, Ligang He
2015 J jnl
Mammoth: Gearing Hadoop Towards Memory-Intensive MapReduce Applications.
IEEE Trans. Parallel Distributed Syst.
Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, Song Wu
2015 B conf
Modelling and Developing Co-scheduling Strategies on Multicore Processors.
ICPP
Huanzhou Zhu, Ligang He, Bo Gao, Kenli Li, Jianhua Sun, Hao Chen, Keqin Li
2015 A conf
Modelling and Optimizing Bandwidth Provision for Interacting Cloud Services.
ICSOC
Chao Chen, Ligang He, Bo Gao, Cheng Chang, Kenli Li, Keqin Li
2015 A conf
Modelling the Bandwidth Allocation Problem in Mobile Service-Oriented Networks.
MSWiM
Bo Gao, Ligang He, Chao Chen
2015 J jnl
Offload Decision Models and the Price of Anarchy in Mobile Cloud Application Ecosystems.
IEEE Access
Bo Gao, Ligang He, Stephen A. Jarvis
2015 J jnl
Performance Optimization for Managing Massive Numbers of Small Files in Distributed File Systems.
IEEE Trans. Parallel Distributed Syst.
Songling Fu, Ligang He, Chenlin Huang, Xiangke Liao, Kenli Li
2015 J jnl
The uncertainty recovery analysis for interdependent infrastructure systems using the dynamic inoperability input-output model.
Int. J. Syst. Sci.
Wenping Xu, Zongjun Wang, Liu Hong, Ligang He, Xueguang Chen
2014 J jnl
BAG: Managing GPU as Buffer Cache in Operating Systems.
IEEE Trans. Parallel Distributed Syst.
Hao Chen, Jianhua Sun, Ligang He, Kenli Li, Huailiang Tan
2014 — conf
Cadros: The Cloud-Assisted Data Replication in Decentralized Online Social Networks.
IEEE SCC
Songling Fu, Ligang He, Xiangke Liao, Chenlin Huang, Kenli Li, Cheng Chang, Bo Gao
2014 — conf
Developing a Pattern Discovery Model for Host Load Data.
CSE
Zhuoer Gu, Cheng Chang, Ligang He, Kenli Li
2014 J jnl
Developing resource consolidation frameworks for moldable virtual machines in clouds.
Future Gener. Comput. Syst.
Ligang He, Deqing Zou, Zhang Zhang, Chao Chen, Hai Jin, Stephen A. Jarvis
2014 J jnl
Developing security-aware resource management strategies for workflows.
Future Gener. Comput. Syst.
Ligang He, Nadeem Chaudhary, Stephen A. Jarvis
2014 J jnl
Energy-Aware Data Allocation and Task Scheduling on Heterogeneous Multiprocessor Systems With Time Constraints.
IEEE Trans. Emerg. Top. Comput.
Yan Wang, Kenli Li, Hao Chen, Ligang He, Keqin Li
2014 A conf
Modelling and Predicting the Data Availability in Decentralized Online Social Networks.
ICWS
Songling Fu, Ligang He, Xiangke Liao, Chenlin Huang, Kenli Li, Cheng Chang, Bo Gao
2014 B conf
Optimizing Job Scheduling on Multicore Computers.
MASCOTS
Huanzhou Zhu, Ligang He, Stephen A. Jarvis
2014 — conf
Performance Analysis and Optimization for Stochastic Workflows Running under Authorization Constraints.
CSE
Cheng Chang, Ligang He, Hao Chen, Jianhua Sun, Kenli Li
2013 J jnl
A DAG scheduling scheme on heterogeneous computing systems using double molecular structure-based chemical reaction optimization.
J. Parallel Distributed Comput.
Yuming Xu, Kenli Li, Ligang He, Tung Truong Khac
2013 J jnl
A Fast RPC System for Virtual Machines.
IEEE Trans. Parallel Distributed Syst.
Hao Chen, Lin Shi, Jianhua Sun, Kenli Li, Ligang He
2013 — conf
A Graph based approach for Co-scheduling jobs on Multi-core computers.
ICCSW
Huanzhou Zhu, Ligang He
2013 Misc conf
Analyzing the performance impact of authorization constraints and optimizing the authorization methods for workflows.
HiPC
Nadeem Chaudhary, Ligang He
2013 J jnl
Developing an optimized application hosting framework in Clouds.
J. Comput. Syst. Sci.
Xuanhua Shi, Hongbo Jiang, Ligang He, Hai Jin, Chonggang Wang, Bo Yu, Xueguang Chen
2013 C conf
Developing communication-aware service placement frameworks in the Cloud economy.
CLUSTER
Chao Chen, Ligang He, Hao Chen, Jianhua Sun, Bo Gao, Stephen A. Jarvis
2013 C conf
Modelling Energy-Aware Task Allocation in Mobile Workflows.
MobiQuitous
Bo Gao, Ligang He
2013 — conf
Research of Network Coding Data Collection Mechanism Based on the Rough Routing in Wireless Multi-hop Network.
WAIM Workshops
Jian Wan, Ligang He, Wei Zhang, Jie Huang, Mingbiao Li, Jilin Zhang, Nan Chen
2013 J jnl
Towards Automated Memory Model Generation Via Event Tracing.
Comput. J.
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
2013 J jnl
VSA: An offline scheduling analyzer for Xen virtual machine monitor.
Future Gener. Comput. Syst.
Zhiyuan Shao, Ligang He, Zhiqiang Lu, Hai Jin
2013 Misc conf
iFlatLFS: Performance optimization for accessing massive small files.
HiPC
Songling Fu, Chenlin Huang, Ligang He, Nadeem Chaudhary, Xiangke Liao, Shazhou Yang, Xiaochuan Wang, Bao Li
2012 — conf
Allocating Resources for Workflows Running under Authorization Control.
GRID
Ligang He, Nadeem Chaudhary, Stephen A. Jarvis, Kenli Li
2012 J jnl
An uncertainty assessment of interdependent infrastructure systems and infrastructure sectors with natural disasters analysis.
Int. J. Syst. Syst. Eng.
Wenping Xu, Liu Hong, Ligang He, Xueguang Chen
2012 C conf
Chemical Reaction Optimization for Heterogeneous Computing Environments.
ISPA
Kenli Li, Zhimin Zhang, Yuming Xu, Bo Gao, Ligang He
2012 — conf
From Mobiles to Clouds: Developing Energy-Aware Offloading Strategies for Workflows.
GRID
Bo Gao, Ligang He, Limin Liu, Kenli Li, Stephen A. Jarvis
2012 J jnl
Modeling and analyzing the impact of authorization on workflow executions.
Future Gener. Comput. Syst.
Ligang He, Chenlin Huang, Kewei Duan, Kenli Li, Hao Chen, Jianhua Sun, Stephen A. Jarvis
2012 C conf
Performance Analysis for Workflow Management Systems under Role-Based Authorization Control.
GPC
Limin Liu, Ligang He, Stephen A. Jarvis
2011 B conf
Analyzing and Improving MPI Communication Performance in Overcommitted Virtualized Systems.
MASCOTS
Zhiyuan Shao, Qiang Wang, Xuejiao Xie, Hai Jin, Ligang He
2011 C conf
Dynamic Active Window Management: A Method for Improving Revenue Generation in Dynamic Enterprise Systems.
CIT
Mohammad A. Alghamdi, Adam P. Chester, Ligang He, Stephen A. Jarvis, James Wen Jun Xue
2011 C conf
Dynamic Resource Allocation and Active Predictive Models for Enterprise Applications.
CLOSER
Mohammad A. Alghamdi, Adam P. Chester, Ligang He, Stephen A. Jarvis
2011 — conf
EAPAC: An Enhanced Application Placement Framework for Data Centers.
CSE
Xuanhua Shi, Hongbo Jiang, Ligang He, Hai Jin, Chonggang Wang, Bo Yu, Fei Wang
2011 J jnl
Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models.
Simul. Model. Pract. Theory
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
2011 — conf
Modelling Workflow Executions under Role-Based Authorisation Control.
IEEE SCC
Ligang He, Kewei Duan, Xueguang Chen, Deqing Zou, Zongfen Han, Ali Fadavinia, Stephen A. Jarvis
2011 Misc conf
Modelling and analyzing the authorization and execution of video workflows.
HiPC
Ligang He, Chenlin Huang, Kenli Li, Hao Chen, Jianhua Sun, Bo Gao, Kewei Duan, Stephen A. Jarvis
2011 — conf
Optimizing Resource Consumptions in Clouds.
GRID
Ligang He, Deqing Zou, Zhang Zhang, Kai Yang, Hai Jin, Stephen A. Jarvis
2009 J jnl
CRBAC: Imposing multi-grained constraints on the RBAC model in the multi-application environment.
J. Netw. Comput. Appl.
Deqing Zou, Ligang He, Hai Jin, Xueguang Chen
2009 A conf
Performance prediction for running workflows under role-based authorization mechanisms.
IPDPS
Ligang He, Mark Calleja, Mark Hayes, Stephen A. Jarvis
2008 C conf
A System for Dynamic Server Allocation in Application Server Clusters.
ISPA
Adam P. Chester, James Wen Jun Xue, Ligang He, Stephen A. Jarvis
2008 B conf
Dynamic Resource Allocation in Enterprise Systems.
ICPADS
James Wen Jun Xue, Adam P. Chester, Ligang He, Stephen A. Jarvis
2007 B conf
A scheduling algorithm for revenue maximisation for cluster-based Internet services.
ICPADS
James Wen Jun Xue, Ligang He, Stephen A. Jarvis
2007 — conf
Partition-based Profit Optimisation for Multi-class Requests in Clusters of Servers.
ICEBE
Ligang He, James Wen Jun Xue, Stephen A. Jarvis
2006 J jnl
Allocating Non-Real-Time and Soft Real-Time Jobs in Multiclusters.
IEEE Trans. Parallel Distributed Syst.
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Hong Jiang, Donna N. Dillenberger, Graham R. Nudd
2006 A conf
Performance evaluation of scheduling applications with DAG topologies on multiclusters with independent local schedulers.
IPDPS
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd
2005 — conf
A Comparative Evaluation of Two Techniques for Predicting the Performance of Dynamic Enterprise Systems.
PARCO
David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Daniel P. Spooner, D. Pelych, Graham R. Nudd
2005 J jnl
An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications.
J. Supercomput.
David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Daniel P. Spooner, Donna N. Dillenberger, Graham R. Nudd
2005 — conf
Comparing Layered Queuing and Historical Performance Models of a Distributed Enterprise Application.
Parallel and Distributed Computing and Networks
David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Daniel P. Spooner, Graham R. Nudd
2005 B conf
Mapping DAG-based applications to multiclusters with background workload.
CCGRID
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, David A. Bacigalupo, Guang Tan, Graham R. Nudd
2005 — conf
ModellingWeb transfer Performance over Asymmetric Networks.
ICPADS (2)
Guang Tan, Stephen A. Jarvis, Ligang He, Xinuo Chen, Daniel P. Spooner
2005 J jnl
Performance-Aware Workflow Management for Grid Computing.
Comput. J.
Daniel P. Spooner, Junwei Cao, Stephen A. Jarvis, Ligang He, Graham R. Nudd
2005 J jnl
The impact of predictive inaccuracies on execution scheduling.
Perform. Evaluation
Stephen A. Jarvis, Ligang He, Daniel P. Spooner, Graham R. Nudd
2004 A conf
An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications.
IPDPS
David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Graham R. Nudd
2004 — conf
Dynamic Scheduling of Parallel Jobs with QoS Demands in Multiclusters and Grids.
GRID
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Xinuo Chen, Graham R. Nudd
2004 J jnl
Dynamic, capability-driven scheduling of DAG-based real-time jobs in heterogeneous clusters.
Int. J. High Perform. Comput. Netw.
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd
2004 — conf
Hybrid Performance-Oriented Scheduling of Moldable Jobs with QoS Demands in Multiclusters and Grids.
GCC
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Xinuo Chen, Graham R. Nudd
2004 J jnl
Hybrid performance-based workload management for multiclusters and grids.
IEE Proc. Softw.
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Xinuo Chen, Graham R. Nudd
2004 A conf
Optimising Static Workload Allocation in Multiclusters.
IPDPS
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd
2004 C conf
Performance-Aware Load Balancing for Multiclusters.
ISPA
Ligang He, Stephen A. Jarvis, David A. Bacigalupo, Daniel P. Spooner, Graham R. Nudd
2004 — conf
Queueing Network-based Optimisation Techniques for Workload Allocation in Clusters of Computers.
IEEE SCC
Ligang He, Stephen A. Jarvis, David A. Bacigalupo, Daniel P. Spooner, Xinuo Chen, Graham R. Nudd
2003 C conf
Dynamic Scheduling of Parallel Real-Time Jobs by Modelling Spare Capabilities in Heterogeneous Clusters.
CLUSTER
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd
2003 — conf
Performance-Based Dynamic Scheduling of Hybrid Real-Time Applications on a Cluster of Hetrogeneous Workstations.
Euro-Par
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd
2002 — conf
Optimal Dispatching and Scheduling for Both Periodic and Aperiodic Jobs in Cluster.
ICPP Workshops
Hai Jin, Ligang He, Zongfen Han
2001 — conf
Optimal Scheduling of Aperiodic Jobs on Cluster.
Euro-Par
Ligang He, Hai Jin, Ying Chen, Zongfen Han