Long Cheng

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 83

Top Topics

Business Process

Reinforcement Learning

Cloud Computing

Top Venues

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

IEEE Trans. Cloud Comput.

Publications

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) (2024)
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 (2024)
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 (2024)
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) (2024)
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) (2024)
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) (2024)
Long Cheng, Xiaomin Chen, Zhiming Zhao
Preface of special issue on Artificial Intelligence for time-critical computing systems. Future Gener. Comput. Syst. 159 (2024)
Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng
CASA: cost-effective EV charging scheduling based on deep reinforcement learning. Neural Comput. Appl. 36 (15) (2024)
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) (2024)
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 (2024)
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 (2024)
Jiaying Guo, Long Cheng, Shen Wang
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning. IV (2024)
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 (2024)
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) (2024)
Jianbin Li, Xin Tong, Jinwei Liu, Long Cheng
An Efficient Federated Learning System for Network Intrusion Detection. IEEE Syst. J. 17 (2) (2023)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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 (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, Jiujun Cheng
Measuring Similarity for Data-Aware Business Processes. IEEE Trans Autom. Sci. Eng. 19 (2) (2022)
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) (2022)
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)
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) (2022)
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)
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 (2022)
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) (2022)
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)
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) (2021)
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)
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 (2021)
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) (2021)
Qingzhi Liu, Long Cheng, Adele Lu Jia, Cong Liu
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Netw. 35 (2) (2021)
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)
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) (2021)
Jinwei Liu, Long Cheng
SwiftS: A Dependency-Aware and Resource Efficient Scheduling for High Throughput in Clouds. INFOCOM Workshops (2021)
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 (2021)
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) (2021)
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) (2021)
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 (2021)
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)
Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. CoRR (2020)
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 (2020)
Yulong Pei, Cong Liu, Chuanyang Zheng, Long Cheng
Nonnegative Residual Matrix Factorization for Community Detection. WISE (1) (2020)
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 (2020)
Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen Wade, Long Cheng
Rethinking Defeasible Reasoning: A Scalable Approach. Theory Pract. Log. Program. 20 (4) (2020)
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) (2020)
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) (2020)
Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen Wade, Long Cheng
Rethinking Defeasible Reasoning: A Scalable Approach. CoRR (2020)
Jinwei Liu, Long Cheng, Hongmei Chi
DeepDive: Examining Determinants of Health Disparities in COVID-19 for Improving Pandemic Health Care. ICVISP (2020)
Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang
Load-balancing distributed outer joins through operator decomposition. J. Parallel Distributed Comput. 132 (2019)
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) (2019)
Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy
Learning Process Models in IoT Edge. SERVICES (2019)
Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando A. Kuipers, Johan Lukkien
CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks. WCNC (2019)
Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou
FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications. ICPP (2019)
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)
Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. CCGRID (2019)
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)
Long Cheng, Spyros Kotoulas
Efficient Skew Handling for Outer Joins in a Cloud Computing Environment. IEEE Trans. Cloud Comput. 6 (2) (2018)
Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos
Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling. Euro-Par (2018)
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 (2017)
Long Cheng, Ying Wang, Yulong Pei, Dick H. J. Epema
A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics. ICPP (2017)
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 (2017)
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)
Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst
Efficient Event Correlation over Distributed Systems. CCGrid (2017)
Long Cheng, Spyros Kotoulas
Efficient Large Outer Joins over MapReduce. Euro-Par (2016)
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) (2016)
Long Cheng, Tao Li
Efficient Data Redistribution to Speedup Big Data Analytics in Large Systems. HiPC (2016)
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
High throughput indexing for large-scale semantic web data. SAC (2015)
Long Cheng, Spyros Kotoulas
Scale-Out Processing of Large RDF Datasets. IEEE Trans. Big Data 1 (4) (2015)
Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
Scalable RDF Data Compression using X10. CoRR (2014)
Ilias Tachmazidis, Long Cheng, Spyros Kotoulas, Grigoris Antoniou, Tomas E. Ward
Massively Parallel Reasoning under the Well-Founded Semantics Using X10. ICTAI (2014)
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
A Fully Parallel Framework for Analyzing RDF Data. ISWC (Posters & Demos) (2014)
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
Robust and Efficient Large-Large Table Outer Joins on Distributed Infrastructures. Euro-Par (2014)
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
Efficiently Handling Skew in Outer Joins on Distributed Systems. CCGRID (2014)
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)
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
Design and evaluation of parallel hashing over large-scale data. HiPC (2014)
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems. CIKM (2014)
Long Cheng, Yue Ma
Investigating Distributed Approaches to Efficiently Extract Textual Evidences for Biomedical Ontologies. BIBE (2014)
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)
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
Runtime Characterization of Triple Stores. CSE (2012)