Long Cheng

According to our database, Long Cheng authored at least 85 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Transformer-based network intrusion detection approach for cloud security.

Zhenyue Long, Huiru Yan, Guiquan Shen, Xiaolu Zhang, Haoyang He, Long Cheng

J. Cloud Comput., December, 2024

CASA: cost-effective EV charging scheduling based on deep reinforcement learning.

Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng

Neural Comput. Appl., May, 2024

Advancing multi-party quantum key agreement protocols: the power of a two-layer approach.

Jiawei Liu, Qingle Wang, Qingxia Mu, Yuancheng Li, Long Cheng, Wenqi Sun

Quantum Inf. Process., March, 2024

Discovering Hierarchical Multi-Instance Business Processes From Event Logs.

Cong Liu, Ying Wang, Lijie Wen, Jiujun Cheng, Long Cheng, Qingtian Zeng

IEEE Trans. Serv. Comput., 2024

2023

Toward Network-Aware Query Execution Systems in Large Datacenters.

Long Cheng, Ying Wang, Rutvij H. Jhaveri, Qingle Wang, Ying Mao

IEEE Trans. Netw. Serv. Manag., December, 2023

File processing security detection in multi-cloud environments: a process mining approach.

Xiaolu Zhang, Lei Cui, Wuqiang Shen, Jijun Zeng, Li Du, Haoyang He, Long Cheng

J. Cloud Comput., December, 2023

Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning.

Jingwei Zhang, Long Cheng, Cong Liu, Zhiming Zhao, Ying Mao

Expert Syst. Appl., December, 2023

Statistical Modeling of Soft Error Influence on Neural Networks.

Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

PipCKG-BS: A Method to Build Cybersecurity Knowledge Graph for Blockchain Systems via the Pipeline Approach.

Jianbin Li, Jifang Li, Chunlei Xie, Yousheng Liang, Ketong Qu, Long Cheng, Zhiming Zhao

J. Circuits Syst. Comput., November, 2023

CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning.

Jiaying Guo, Long Cheng, Shen Wang

IEEE Trans. Intell. Transp. Syst., October, 2023

Cross-Department Collaborative Healthcare Process Model Discovery From Event Logs.

Cong Liu, Huiling Li, Shuaipeng Zhang, Long Cheng, Qingtian Zeng

IEEE Trans Autom. Sci. Eng., July, 2023

An Efficient Federated Learning System for Network Intrusion Detection.

Jianbin Li, Xin Tong, Jinwei Liu, Long Cheng

IEEE Syst. J., June, 2023

Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net-Based Approach.

Cong Liu, Long Cheng, Qingtian Zeng, Lijie Wen

IEEE Trans. Syst. Man Cybern. Syst., 2023

Eco-CSAS: A Safe and Eco-Friendly Speed Advisory System for Autonomous Vehicle Platoon Using Consortium Blockchain.

Shike Li, Jianbin Li, Jiaming Pei, Sixing Wu, Shen Wang, Long Cheng

IEEE Trans. Intell. Transp. Syst., 2023

Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud.

Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu

IEEE Trans. Cloud Comput., 2023

Elastic Resource Management for Deep Learning Applications in a Container Cluster.

Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li

IEEE Trans. Cloud Comput., 2023

Optimal alignments between large event logs and process models over distributed systems: An approach based on Petri nets.

Long Cheng, Cong Liu, Qingtian Zeng

Inf. Sci., 2023

DeepHealth: Geospatial and ML-Based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care.

Jinwei Liu, Rui Gong, Long Cheng, Richard A. Aló

Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

Efficient Supernet Training Using Path Parallelism.

Ying Xu, Long Cheng, Xuyi Cai, Xiaohan Ma, Weiwei Chen, Lei Zhang, Ying Wang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022

BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System.

Jianbin Li, Shike Li, Long Cheng, Qingzhi Liu, Jiaming Pei, Shen Wang

IEEE Trans. Veh. Technol., 2022

Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems.

Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao

IEEE Trans. Parallel Distributed Syst., 2022

MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems.

Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor

IEEE Trans. Intell. Transp. Syst., 2022

A Fast Precision Tuning Solution for Always-On DNN Accelerators.

Ying Wang, Yintao He, Long Cheng, Huawei Li, Xiaowei Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures.

Kaiwei Zou, Ying Wang, Long Cheng, Songyun Qu, Huawei Li, Xiaowei Li

IEEE Trans. Computers, 2022

Measuring Similarity for Data-Aware Business Processes.

Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, Jiujun Cheng

IEEE Trans Autom. Sci. Eng., 2022

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.

Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao

IEEE Syst. J., 2022

Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling.

Yifeng Huang, Long Cheng, Lianting Xue, Cong Liu, Yuancheng Li, Jianbin Li, Tomás Ward

IEEE Syst. J., 2022

HyPASS: Design of hybrid-SDN prevention of attacks of source spoofing with host discovery and address validation.

Ramesh Chand Meena, Surbhi Bhatia, Rutvij H. Jhaveri, Long Cheng, Ankit Kumar, Arwa A. Mashat

Phys. Commun., 2022

Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning.

Long Cheng, Archana Kalapgar, Amogh Jain, Yue Wang, Yongtai Qin, Yuancheng Li, Cong Liu

Neural Comput. Appl., 2022

Cost-aware job scheduling for cloud instances using deep reinforcement learning.

Feng Cheng, Yifeng Huang, Bhavana Tanpure, Pawan Sawalani, Long Cheng, Cong Liu

Clust. Comput., 2022

Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach.

Jingchen Yan, Yifeng Huang, Aditya Gupta, Anubhav Gupta, Cong Liu, Jianbin Li, Long Cheng

Comput. Electr. Eng., 2022

Iterative Qubits Management for Quantum Index Searching in a Hybrid System.

Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen

Proceedings of the IEEE International Performance, 2022

Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers.

Yuqi Fu, Naseem Machlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu

Proceedings of the IEEE International Performance, 2022

CrossCas: A Novel Cross-Platform Approach for Predicting Cascades in Online Social Networks with Hidden Markov Model.

Jinwei Liu, Xiaonan Zhang, Richard A. Aló, Xiuzhen Huang, Long Cheng, Feng Deng

Proceedings of the IEEE Global Communications Conference, 2022

2021

R2F: A Remote Retraining Framework for AIoT Processors With Computing Errors.

Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng

IEEE Trans. Very Large Scale Integr. Syst., 2021

Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers.

Long Cheng, Ying Wang, Qingzhi Liu, Dick H. J. Epema, Cheng Liu, Ying Mao, John Murphy

IEEE Trans. Parallel Distributed Syst., 2021

A Low-Cost Multi-Failure Resilient Replication Scheme for High-Data Availability in Cloud Storage.

Jinwei Liu, Haiying Shen, Hongmei Chi, Husnu S. Narman, Yongyi Yang, Long Cheng, Wingyan Chung

IEEE/ACM Trans. Netw., 2021

An Edge 3D CNN Accelerator for Low-Power Activity Recognition.

Ying Wang, Yongchen Wang, Cong Shi, Long Cheng, Huawei Li, Xiaowei Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Privacy-Preserving Behavioral Correctness Verification of Cross-Organizational Workflow With Task Synchronization Patterns.

Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, Mengchu Zhou, Jiujun Cheng

IEEE Trans Autom. Sci. Eng., 2021

Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks.

Qingzhi Liu, Long Cheng, Adele Lu Jia, Cong Liu

IEEE Netw., 2021

Sampling business process event logs using graph-based ranking model.

Cong Liu, Yulong Pei, Long Cheng, Qingtian Zeng, Hua Duan

Concurr. Comput. Pract. Exp., 2021

Cluster-based flow control in hybrid software-defined wireless sensor networks.

Qingzhi Liu, Long Cheng, Renan C. A. Alves, Tanir Ozcelebi, Fernando A. Kuipers, Guixian Xu, Johan Lukkien, Shanzhi Chen

Comput. Networks, 2021

TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs.

Jianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou, Long Cheng

Proceedings of the Knowledge Science, Engineering and Management, 2021

Quantum Machine Learning for Electricity Theft Detection: an Initial Investigation.

Lianting Xue, Long Cheng, Yuancheng Li, Ying Mao

Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

SwiftS: A Dependency-Aware and Resource Efficient Scheduling for High Throughput in Clouds.

Jinwei Liu, Long Cheng

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

CDetector: Extracting Textual Features of Financial Social Media to Detect Cyber Attacks.

Jinwei Liu, Long Cheng, Hongmei Chi, Cong Liu, Richard A. Aló

Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care.

Jinwei Liu, Long Cheng, Ankur Sarker, Li Yan, Richard A. Aló

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment.

Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst

IEEE Trans. Serv. Comput., 2020

Rethinking Defeasible Reasoning: A Scalable Approach.

Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen J. Wade, Long Cheng

Theory Pract. Log. Program., 2020

A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems.

Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy

IEEE Syst. J., 2020

Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud.

Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu

CoRR, 2020

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes.

Ying Mao, Yuqi Fu, Suwen Gu, Sudip Vhaduri, Long Cheng, Qingzhi Liu

CoRR, 2020

Nonnegative Residual Matrix Factorization for Community Detection.

Yulong Pei, Cong Liu, Chuanyang Zheng, Long Cheng

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

DeepDive: Examining Determinants of Health Disparities in COVID-19 for Improving Pandemic Health Care.

Jinwei Liu, Long Cheng, Hongmei Chi

Proceedings of the ICVISP 2020: 4th International Conference on Vision, 2020

2019

A QoS-QoR Aware CNN Accelerator Design Approach.

Ying Wang, Huawei Li, Long Cheng, Xiaowei Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Load-balancing distributed outer joins through operator decomposition.

Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang

J. Parallel Distributed Comput., 2019

CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks.

Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando A. Kuipers, Johan Lukkien

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Learning Process Models in IoT Edge.

Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy

Proceedings of the 2019 IEEE World Congress on Services, 2019

FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications.

Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou

Proceedings of the 48th International Conference on Parallel Processing, 2019

Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System.

Wenjia Zheng, Yun Song, Zihao Guo, Yongchen Cui, Suwen Gu, Ying Mao, Long Cheng

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing.

Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Resilient Neural Network Training for Accelerators with Computing Errors.

Dawen Xu, KouZi Xing, Cheng Liu, Ying Wang, Yulin Dai, Long Cheng, Huawei Li, Lei Zhang

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018

Efficient Skew Handling for Outer Joins in a Cloud Computing Environment.

Long Cheng, Spyros Kotoulas

IEEE Trans. Cloud Comput., 2018

Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling.

Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017

Design and evaluation of small-large outer joins in cloud computing environments.

Long Cheng, Ilias Tachmazidis, Spyros Kotoulas, Grigoris Antoniou

J. Parallel Distributed Comput., 2017

Improving the robustness and performance of parallel joins over distributed systems.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

J. Parallel Distributed Comput., 2017

A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics.

Long Cheng, Ying Wang, Yulong Pei, Dick H. J. Epema

Proceedings of the 46th International Conference on Parallel Processing, 2017

Efficient Event Correlation over Distributed Systems.

Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Business Process Comparison: A Methodology and Case Study.

Alifah Syamsiyah, Alfredo Bolt, Long Cheng, Bart F. A. Hompes, R. P. Jagadeesh Chandra Bose, Boudewijn F. van Dongen, Wil M. P. van der Aalst

Proceedings of the Business Information Systems - 20th International Conference, 2017

2016

Fast Compression of Large Semantic Web Data Using X10.

Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

IEEE Trans. Parallel Distributed Syst., 2016

Efficient Data Redistribution to Speedup Big Data Analytics in Large Systems.

Long Cheng, Tao Li

Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

Efficient Large Outer Joins over MapReduce.

Long Cheng, Spyros Kotoulas

Proceedings of the Euro-Par 2016: Parallel Processing, 2016

2015

Scale-Out Processing of Large RDF Datasets.

Long Cheng, Spyros Kotoulas

IEEE Trans. Big Data, 2015

High throughput indexing for large-scale semantic web data.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014

Scalable RDF Data Compression using X10.

Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

CoRR, 2014

A Fully Parallel Framework for Analyzing RDF Data.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

Massively Parallel Reasoning under the Well-Founded Semantics Using X10.

Ilias Tachmazidis, Long Cheng, Spyros Kotoulas, Grigoris Antoniou, Tomas E. Ward

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

A two-tier index architecture for fast processing large RDF data over distributed memory.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Design and evaluation of parallel hashing over large-scale data.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the 21st International Conference on High Performance Computing, 2014

Robust and Efficient Large-Large Table Outer Joins on Distributed Infrastructures.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the Euro-Par 2014 Parallel Processing, 2014

Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Efficiently Handling Skew in Outer Joins on Distributed Systems.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

Investigating Distributed Approaches to Efficiently Extract Textual Evidences for Biomedical Ontologies.

Long Cheng, Yue Ma

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013

QbDJ: A Novel Framework for Handling Skew in Parallel Join Processing on Distributed Memory.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012

Runtime Characterization of Triple Stores.

Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos

Proceedings of the 15th IEEE International Conference on Computational Science and Engineering, 2012