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ORCIDLong Cheng 0003
Person information
- affiliation: North China Electric Power University, Beijing, China
- affiliation: Dublin City University, Ireland
- affiliation: University College Dublin, Ireland
- affiliation (2016-2018): Eindhoven University of Technology, Netherlands
- affiliation (2014-2016): TU Dresden, Faculty of Computer Science, Germany
- affiliation (until 2014): National University of Ireland Maynooth, Ireland
Other persons with the same name
- Long Cheng — disambiguation page
- Long Cheng 0001
![[0000-0001-7565-8788]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7565-8788")
— Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 4 more) - Long Cheng 0002 — Northeastern University China, School of Information Science and Engineering, Shenyang, China (and 1 more)
- Long Cheng 0004 — Shenyang Ligong University, School of Information Science and Engineering, Shenyang, China
- Long Cheng 0005 — Clemson University, SC, USA (and 4 more)
- Long Cheng 0006 — Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing, China
- Long Cheng 0007 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 1 more)
- Long Cheng 0008 — Beijing Jiaotong University, National Active Distribution Network Technology Research Center, China
- Long Cheng 0009 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
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2020 – today
- 2025
[j60]Qiupu Chen, Feng He, Gang Wang, Xiao Bai, Long Cheng, Xin Ning:
Dual Guidance Enabled Fuzzy Inference for Enhanced Fine-Grained Recognition. IEEE Trans. Fuzzy Syst. 33(1): 418-430 (2025)- 2024
- [j59]Jianbin Li, Hengyang Zhang, Shike Li, Long Cheng, Yiguo Guo, Sixing Wu:
BD-TTS: A blockchain and DRL-based framework for trusted task scheduling in edge computing. Comput. Networks 251: 110609 (2024) - [j58]Sen Li, Hui Jin, Yingke Gao, Ying Wang, Shuhong Dai, Yongjun Xu, Long Cheng:
Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems. Comput. Commun. 216: 151-158 (2024) - [j57]Jinlong Xie, Long Cheng, Gang Wang, Min Hu, Zaiyang Yu, Minghua Du, Xin Ning:
Fusing differentiable rendering and language-image contrastive learning for superior zero-shot point cloud classification. Displays 84: 102773 (2024) - [j56]Long Cheng, Xiaomin Chen, Zhiming Zhao:
Preface of special issue on Artificial Intelligence for time-critical computing systems. Future Gener. Comput. Syst. 159: 102-104 (2024) - [j55]Long Cheng, Li Du, Cong Liu, Yang Hu, Fang Fang, Tomás Ward:
Multi-modal fusion for business process prediction in call center scenarios. Inf. Fusion 108: 102362 (2024) - [j54]Meilan Hao, Zhongkang Zhang, Lei Li, Kejian Dong, Long Cheng, Prayag Tiwari, Xin Ning:
Coarse to fine-based image-point cloud fusion network for 3D object detection. Inf. Fusion 112: 102551 (2024) - [j53]Xuan Chen, Qixuan Yu, Shuhong Dai, Pengfei Sun, Haichuan Tang, Long Cheng:
Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management. IEEE Internet Things J. 11(15): 25494-25504 (2024) - [j52]Shuhong Dai, Shike Li, Haichuan Tang, Xin Ning, Fang Fang, Yunxiao Fu, Qingle Wang, Long Cheng:
MARP: A Cooperative Multiagent DRL System for Connected Autonomous Vehicle Platooning. IEEE Internet Things J. 11(20): 32454-32463 (2024) - [j51]Zhenyue Long, Huiru Yan, Guiquan Shen, Xiaolu Zhang, Haoyang He, Long Cheng:
A Transformer-based network intrusion detection approach for cloud security. J. Cloud Comput. 13(1): 5 (2024) - [j50]Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng:
CASA: cost-effective EV charging scheduling based on deep reinforcement learning. Neural Comput. Appl. 36(15): 8355-8370 (2024) - [j49]Jiawei Liu, Qingle Wang, Qingxia Mu, Yuancheng Li, Long Cheng, Wenqi Sun:
Advancing multi-party quantum key agreement protocols: the power of a two-layer approach. Quantum Inf. Process. 23(3): 97 (2024) - [j48]Long Cheng, Qingzhi Liu, Lei Yang, John Murphy:
Guest Editorial of the Special Section on Intelligent Computing for Big Data in Consumer Internet of Things. IEEE Trans. Consumer Electron. 70(2): 4958-4960 (2024) - [j47]Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng:
Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 153:1-153:18 (2024) - [j46]Cong Liu, Ying Wang, Lijie Wen, Jiujun Cheng, Long Cheng, Qingtian Zeng:
Discovering Hierarchical Multi-Instance Business Processes From Event Logs. IEEE Trans. Serv. Comput. 17(1): 142-155 (2024) - [j45]Long Cheng, Yue Wang, Feng Cheng, Cheng Liu, Zhiming Zhao, Ying Wang:
A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling. IEEE Trans. Sustain. Comput. 9(3): 422-432 (2024) - [j44]Long Cheng, Yan Gu, Qingzhi Liu, Lei Yang, Cheng Liu, Ying Wang:
Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey. IEEE Trans. Sustain. Comput. 9(6): 830-847 (2024) - [c37]Long Cheng, Haoyang He, Yan Gu, Qingzhi Liu, Zhiming Zhao, Fang Fang:
MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection. ICPADS 2024: 657-666 - [c36]Jiaying Guo, Long Cheng, Shen Wang:
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning. IV 2024: 3155 - [i12]Zihao Jiang, Zefan Du, Shaolun Ruan, Juntao Chen, Yong Wang, Long Cheng, Rajkumar Buyya, Ying Mao:
Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System. CoRR abs/2405.04490 (2024) - [i11]Lian Liu, Haimeng Ren, Long Cheng, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang:
COMET: Towards Partical W4A4KV4 LLMs Serving. CoRR abs/2410.12168 (2024) - 2023
- [j43]Jingwei Zhang, Long Cheng, Cong Liu, Zhiming Zhao, Ying Mao:
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning. Expert Syst. Appl. 234: 120972 (2023) - [j42]Long Cheng, Cong Liu, Qingtian Zeng:
Optimal alignments between large event logs and process models over distributed systems: An approach based on Petri nets. Inf. Sci. 619: 406-420 (2023) - [j41]Xiaolu Zhang, Lei Cui, Wuqiang Shen, Jijun Zeng, Li Du, Haoyang He, Long Cheng:
File processing security detection in multi-cloud environments: a process mining approach. J. Cloud Comput. 12(1): 100 (2023) - [j40]Jianbin Li, Jifang Li, Chunlei Xie, Yousheng Liang, Ketong Qu, Long Cheng, Zhiming Zhao:
PipCKG-BS: A Method to Build Cybersecurity Knowledge Graph for Blockchain Systems via the Pipeline Approach. J. Circuits Syst. Comput. 32(16): 2350274:1-2350274:24 (2023) - [j39]Jianbin Li, Xin Tong, Jinwei Liu, Long Cheng:
An Efficient Federated Learning System for Network Intrusion Detection. IEEE Syst. J. 17(2): 2455-2464 (2023) - [j38]Cong Liu, Huiling Li, Shuaipeng Zhang, Long Cheng, Qingtian Zeng:
Cross-Department Collaborative Healthcare Process Model Discovery From Event Logs. IEEE Trans Autom. Sci. Eng. 20(3): 2115-2125 (2023) - [j37]Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li:
Statistical Modeling of Soft Error Influence on Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4152-4163 (2023) - [j36]Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu:
Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud. IEEE Trans. Cloud Comput. 11(2): 1667-1677 (2023) - [j35]Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li:
Elastic Resource Management for Deep Learning Applications in a Container Cluster. IEEE Trans. Cloud Comput. 11(2): 2204-2216 (2023) - [j34]Shike Li, Jianbin Li, Jiaming Pei, Sixing Wu, Shen Wang, Long Cheng:
Eco-CSAS: A Safe and Eco-Friendly Speed Advisory System for Autonomous Vehicle Platoon Using Consortium Blockchain. IEEE Trans. Intell. Transp. Syst. 24(7): 7802-7812 (2023) - [j33]Jiaying Guo, Long Cheng, Shen Wang:
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(10): 10501-10512 (2023) - [j32]Long Cheng, Ying Wang, Rutvij H. Jhaveri, Qingle Wang, Ying Mao:
Toward Network-Aware Query Execution Systems in Large Datacenters. IEEE Trans. Netw. Serv. Manag. 20(4): 4494-4504 (2023) - [j31]Cong Liu, Long Cheng, Qingtian Zeng, Lijie Wen:
Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net-Based Approach. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1003-1014 (2023) - [c35]Ying Xu, Long Cheng, Xuyi Cai, Xiaohan Ma, Weiwei Chen, Lei Zhang, Ying Wang:
Efficient Supernet Training Using Path Parallelism. HPCA 2023: 1249-1261 - [c34]Jinwei Liu, Rui Gong, Long Cheng, Richard A. Aló:
DeepHealth: Geospatial and ML-Based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care. ICCCN 2023: 1-10 - 2022
- [j30]Jingchen Yan, Yifeng Huang, Aditya Gupta, Anubhav Gupta, Cong Liu, Jianbin Li, Long Cheng:
Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach. Comput. Electr. Eng. 99: 107688 (2022) - [j29]Feng Cheng, Yifeng Huang, Bhavana Tanpure, Pawan Sawalani, Long Cheng, Cong Liu:
Cost-aware job scheduling for cloud instances using deep reinforcement learning. Clust. Comput. 25(1): 619-631 (2022) - [j28]Long Cheng, Archana Kalapgar, Amogh Jain, Yue Wang, Yongtai Qin, Yuancheng Li, Cong Liu:
Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning. Neural Comput. Appl. 34(21): 18579-18593 (2022) - [j27]Ramesh Chand Meena, Surbhi Bhatia, Rutvij H. Jhaveri, Long Cheng, Ankit Kumar, Arwa A. Mashat:
HyPASS: Design of hybrid-SDN prevention of attacks of source spoofing with host discovery and address validation. Phys. Commun. 55: 101902 (2022) - [j26]Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao:
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. IEEE Syst. J. 16(3): 3770-3781 (2022) - [j25]Yifeng Huang, Long Cheng, Lianting Xue, Cong Liu, Yuancheng Li, Jianbin Li, Tomás Ward:
Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling. IEEE Syst. J. 16(3): 4232-4242 (2022) - [j24]Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, Jiujun Cheng:
Measuring Similarity for Data-Aware Business Processes. IEEE Trans Autom. Sci. Eng. 19(2): 1070-1082 (2022) - [j23]Kaiwei Zou, Ying Wang, Long Cheng, Songyun Qu, Huawei Li, Xiaowei Li:
CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures. IEEE Trans. Computers 71(7): 1626-1639 (2022) - [j22]Ying Wang, Yintao He, Long Cheng, Huawei Li, Xiaowei Li:
A Fast Precision Tuning Solution for Always-On DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1236-1248 (2022) - [j21]Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor:
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems. IEEE Trans. Intell. Transp. Syst. 23(6): 5887-5893 (2022) - [j20]Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao:
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems. IEEE Trans. Parallel Distributed Syst. 33(6): 1491-1502 (2022) - [j19]Jianbin Li, Shike Li, Long Cheng, Qingzhi Liu, Jiaming Pei, Shen Wang:
BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System. IEEE Trans. Veh. Technol. 71(11): 11421-11430 (2022) - [c33]Jinwei Liu, Xiaonan Zhang, Richard A. Aló, Xiuzhen Huang, Long Cheng, Feng Deng:
CrossCas: A Novel Cross-Platform Approach for Predicting Cascades in Online Social Networks with Hidden Markov Model. GLOBECOM 2022: 6415-6420 - [c32]Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen:
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. IPCCC 2022: 283-289 - [c31]Yuqi Fu, Naseem Machlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu:
Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers. IPCCC 2022: 414-415 - [i10]Jiaying Guo, Long Cheng, Shen Wang:
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning. CoRR abs/2201.13143 (2022) - [i9]Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen:
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. CoRR abs/2209.11329 (2022) - [i8]Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li:
Statistical Modeling of Soft Error Influence on Neural Networks. CoRR abs/2210.05876 (2022) - 2021
- [j18]Qingzhi Liu, Long Cheng, Renan C. A. Alves, Tanir Ozcelebi, Fernando A. Kuipers, Guixian Xu, Johan Lukkien, Shanzhi Chen:
Cluster-based flow control in hybrid software-defined wireless sensor networks. Comput. Networks 187: 107788 (2021) - [j17]Cong Liu, Yulong Pei, Long Cheng, Qingtian Zeng, Hua Duan:
Sampling business process event logs using graph-based ranking model. Concurr. Comput. Pract. Exp. 33(5) (2021) - [j16]Qingzhi Liu, Long Cheng, Adele Lu Jia, Cong Liu:
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Netw. 35(2): 112-119 (2021) - [j15]Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, Mengchu Zhou, Jiujun Cheng:
Privacy-Preserving Behavioral Correctness Verification of Cross-Organizational Workflow With Task Synchronization Patterns. IEEE Trans Autom. Sci. Eng. 18(3): 1037-1048 (2021) - [j14]Ying Wang, Yongchen Wang, Cong Shi, Long Cheng, Huawei Li, Xiaowei Li:
An Edge 3D CNN Accelerator for Low-Power Activity Recognition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 918-930 (2021) - [j13]Jinwei Liu, Haiying Shen, Hongmei Chi, Husnu S. Narman, Yongyi Yang, Long Cheng, Wingyan Chung:
A Low-Cost Multi-Failure Resilient Replication Scheme for High-Data Availability in Cloud Storage. IEEE/ACM Trans. Netw. 29(4): 1436-1451 (2021) - [j12]Long Cheng, Ying Wang, Qingzhi Liu, Dick H. J. Epema, Cheng Liu, Ying Mao, John Murphy:
Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers. IEEE Trans. Parallel Distributed Syst. 32(6): 1494-1510 (2021) - [j11]Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng:
R2F: A Remote Retraining Framework for AIoT Processors With Computing Errors. IEEE Trans. Very Large Scale Integr. Syst. 29(11): 1955-1966 (2021) - [c30]Jinwei Liu, Long Cheng, Ankur Sarker, Li Yan, Richard A. Aló:
DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care. IEEE BigData 2021: 1692-1698 - [c29]Jinwei Liu, Long Cheng, Hongmei Chi, Cong Liu, Richard A. Aló:
CDetector: Extracting Textual Features of Financial Social Media to Detect Cyber Attacks. ICCCN 2021: 1-6 - [c28]Jinwei Liu, Long Cheng:
SwiftS: A Dependency-Aware and Resource Efficient Scheduling for High Throughput in Clouds. INFOCOM Workshops 2021: 1-2 - [c27]Lianting Xue, Long Cheng, Yuancheng Li, Ying Mao:
Quantum Machine Learning for Electricity Theft Detection: an Initial Investigation. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 204-208 - [c26]Jianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou, Long Cheng:
TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs. KSEM 2021: 154-165 - [i7]Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor:
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems. CoRR abs/2101.06451 (2021) - [i6]Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng:
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors. CoRR abs/2107.03096 (2021) - 2020
- [j10]Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy:
A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems. IEEE Syst. J. 14(3): 3117-3128 (2020) - [j9]Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen J. Wade, Long Cheng:
Rethinking Defeasible Reasoning: A Scalable Approach. Theory Pract. Log. Program. 20(4): 552-586 (2020) - [j8]Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment. IEEE Trans. Serv. Comput. 13(2): 368-380 (2020) - [c25]Jinwei Liu, Long Cheng, Hongmei Chi:
DeepDive: Examining Determinants of Health Disparities in COVID-19 for Improving Pandemic Health Care. ICVISP 2020: 55:1-55:7 - [c24]Yulong Pei, Cong Liu, Chuanyang Zheng, Long Cheng:
Nonnegative Residual Matrix Factorization for Community Detection. WISE (1) 2020: 196-209 - [i5]Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen J. Wade, Long Cheng:
Rethinking Defeasible Reasoning: A Scalable Approach. CoRR abs/2001.00406 (2020) - [i4]Ying Mao, Yuqi Fu, Suwen Gu, Sudip Vhaduri, Long Cheng, Qingzhi Liu:
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes. CoRR abs/2010.10350 (2020) - [i3]Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao:
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. CoRR abs/2010.11307 (2020) - [i2]Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu:
Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud. CoRR abs/2010.12728 (2020)
2010 – 2019
- 2019
- [j7]Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang:
Load-balancing distributed outer joins through operator decomposition. J. Parallel Distributed Comput. 132: 21-35 (2019) - [j6]Ying Wang, Huawei Li, Long Cheng, Xiaowei Li:
A QoS-QoR Aware CNN Accelerator Design Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(11): 1995-2007 (2019) - [c23]Dawen Xu, KouZi Xing, Cheng Liu, Ying Wang, Yulin Dai, Long Cheng, Huawei Li, Lei Zhang:
Resilient Neural Network Training for Accelerators with Computing Errors. ASAP 2019: 99-102 - [c22]Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien:
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. CCGRID 2019: 600-603 - [c21]Wenjia Zheng, Yun Song, Zihao Guo, Yongchen Cui, Suwen Gu, Ying Mao, Long Cheng:
Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System. HPEC 2019: 1-7 - [c20]Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou:
FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications. ICPP 2019: 87:1-87:10 - [c19]Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy:
Learning Process Models in IoT Edge. SERVICES 2019: 147-150 - [c18]Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando A. Kuipers, Johan Lukkien:
CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks. WCNC 2019: 1-8 - 2018
- [j5]Long Cheng, Spyros Kotoulas:
Efficient Skew Handling for Outer Joins in a Cloud Computing Environment. IEEE Trans. Cloud Comput. 6(2): 558-571 (2018) - [c17]Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos:
Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling. Euro-Par 2018: 293-305 - 2017
- [j4]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Improving the robustness and performance of parallel joins over distributed systems. J. Parallel Distributed Comput. 109: 310-323 (2017) - [j3]Long Cheng, Ilias Tachmazidis, Spyros Kotoulas, Grigoris Antoniou:
Design and evaluation of small-large outer joins in cloud computing environments. J. Parallel Distributed Comput. 110: 2-15 (2017) - [c16]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:
Business Process Comparison: A Methodology and Case Study. BIS 2017: 253-267 - [c15]Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
Efficient Event Correlation over Distributed Systems. CCGrid 2017: 1-10 - [c14]Long Cheng, Ying Wang, Yulong Pei, Dick H. J. Epema:
A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics. ICPP 2017: 392-401 - 2016
- [j2]Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Fast Compression of Large Semantic Web Data Using X10. IEEE Trans. Parallel Distributed Syst. 27(9): 2603-2617 (2016) - [c13]Long Cheng, Spyros Kotoulas:
Efficient Large Outer Joins over MapReduce. Euro-Par 2016: 334-346 - [c12]Long Cheng, Tao Li:
Efficient Data Redistribution to Speedup Big Data Analytics in Large Systems. HiPC 2016: 91-100 - 2015
- [j1]Long Cheng, Spyros Kotoulas:
Scale-Out Processing of Large RDF Datasets. IEEE Trans. Big Data 1(4): 138-150 (2015) - [c11]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
High throughput indexing for large-scale semantic web data. SAC 2015: 416-422 - 2014
- [c10]Long Cheng, Yue Ma:
Investigating Distributed Approaches to Efficiently Extract Textual Evidences for Biomedical Ontologies. BIBE 2014: 220-225 - [c9]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Efficiently Handling Skew in Outer Joins on Distributed Systems. CCGRID 2014: 295-304 - [c8]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems. CIKM 2014: 1399-1408 - [c7]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Robust and Efficient Large-Large Table Outer Joins on Distributed Infrastructures. Euro-Par 2014: 258-269 - [c6]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Design and evaluation of parallel hashing over large-scale data. HiPC 2014: 1-10 - [c5]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
A two-tier index architecture for fast processing large RDF data over distributed memory. HT 2014: 300-302 - [c4]Ilias Tachmazidis, Long Cheng, Spyros Kotoulas, Grigoris Antoniou, Tomas E. Ward:
Massively Parallel Reasoning under the Well-Founded Semantics Using X10. ICTAI 2014: 162-169 - [c3]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
A Fully Parallel Framework for Analyzing RDF Data. ISWC (Posters & Demos) 2014: 289-292 - [i1]Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Scalable RDF Data Compression using X10. CoRR abs/1403.2404 (2014) - 2013
- [c2]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
QbDJ: A Novel Framework for Handling Skew in Parallel Join Processing on Distributed Memory. HPCC/EUC 2013: 1519-1527 - 2012
- [c1]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Runtime Characterization of Triple Stores. CSE 2012: 66-73
Coauthor Index
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