Long Cheng

138 papers A* 1A 4B 12C 5Misc 3Journal 97Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
CrossEdgeIM: An Edge-Based Approach for Interactive Robotic Behavior Model Discovery.
IEEE Internet Things Mag.
Xuan Su, Cong Liu, Qingtian Zeng, Jinglin Zhang, Long Cheng
2026 J jnl
Deep reinforcement learning for energy-efficient workflow scheduling in edge computing.
Comput. Networks
Mengyao Wen, Xiufeng Liu, Xin Ning, Cong Liu, Xiaomin Chen, Jiawei Nian, Long Cheng
2026 J jnl
Detecting Root Causes for Process Performance Anomalies Using Causal Inference.
IEEE Trans. Serv. Comput.
Na Guo, Cong Liu, Qingtian Zeng, Youxi Wu, Jinglin Zhang, Xixi Lu, Long Cheng
2026 J jnl
Enhancing Process Discovery by Optimizing Imprecise Sub-Processes.
IEEE Trans. Serv. Comput.
Jiaxin Yan, Cong Liu, Qingtian Zeng, Jian Cao, Youxi Wu, Chun Ouyang, Long Cheng
2026 J jnl
HybridEditDif: Text and exemplar guided image editing with diffusion models.
Pattern Recognit.
Qi Liu, Xuemei Fu, Huang Zhang, Long Cheng, Jungong Han, Catarina Moreira, Xin Ning, Xiao Bai
2026 J jnl
M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model.
Inf. Fusion
Hang Fan, Mingxuan Li, Zuhan Zhang, Long Cheng, Yujian Ye, Weican Liu, Dunnan Liu
2026 J jnl
MARNet: Multi-scale adaptive relational network for robust point cloud completion via cross-modal fusion.
Inf. Fusion
Jinlong Xie, Liping Zhang, Long Cheng, Jian Yao, Pengjiang Qian, Binrong Zhu, Guiran Liu
2026 J jnl
Optimizing resource allocation for wind turbine maintenance through process and fault data fusion.
Inf. Fusion
Huiling Li, Cong Liu, Qinjun Du, Qingtian Zeng, Haobing Liu, Qingle Wang, Long Cheng
2026 J jnl
Toward Efficient Support for Business Process Event Log Sampling.
IEEE Trans. Serv. Comput.
Xuan Su, Cong Liu, Shuaipeng Zhang, Qingtian Zeng, Qi Mo, Long Cheng
2025 J jnl
Adversarial Testing in LLMs: Insights into Decision-Making Vulnerabilities.
CoRR
LiLi Zhang, Haomiaomiao Wang, Long Cheng, Libao Deng, Tomás Ward
2025 J jnl
Behavior-Preserving Top-Down Construction of Cross-Organization Emergency Response Processes.
IEEE CAA J. Autom. Sinica
Cong Liu, Huiling Li, Qingtian Zeng, Qi Mo, MengChu Zhou, Long Cheng, Shangce Gao
2025 — conf
COMET: Towards Practical W4A4KV4 LLMs Serving.
ASPLOS (2)
Lian Liu, Long Cheng, Haimeng Ren, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang
2025 J jnl
Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications.
J. Cloud Comput.
Cong Liu, Wenjuan Liu, Na Guo, Rongjia Song, Yan Gu, Long Cheng, Qingtian Zeng
2025 J jnl
DNN-Based Task Partitioning and Offloading in Edge-Cloud Collaboration Within Electric Vehicles.
IEEE Trans. Consumer Electron.
Huiru Yan, Yan Gu, Haoyang He, Xin Ning, Qingle Wang, Long Cheng
2025 J jnl
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review.
CoRR
Yan Gu, Zhaoze Liu, Shuhong Dai, Cong Liu, Ying Wang, Shen Wang, Georgios Theodoropoulos, Long Cheng
2025 J jnl
Deep reinforcement learning for optimal microgrid energy management with renewable energy and electric vehicle integration.
Appl. Soft Comput.
Baoyin Xiong, Lili Zhang, Yang Hu, Fang Fang, Qingzhi Liu, Long Cheng
2025 J jnl
Dual Guidance Enabled Fuzzy Inference for Enhanced Fine-Grained Recognition.
IEEE Trans. Fuzzy Syst.
Qiupu Chen, Feng He, Gang Wang, Xiao Bai, Long Cheng, Xin Ning
2025 A conf
EdgeIM: An Efficient Edge-Based Process Model Discovery Technique.
ICWS
Xuan Su, Cong Liu, Faming Lu, Long Cheng, Qingtian Zeng, Shouli Zhang
2025 J jnl
Editorial: Neural network models in autonomous robotics.
Frontiers Neurorobotics
Long Cheng, Ying Mao, Tomás Ward
2025 A conf
Enhancing Healthcare Process Model Discovery Through Duplicate Task Identification.
ICWS
Xuan Su, Cong Liu, Faming Lu, Long Cheng, Qingtian Zeng, Jiehan Zhou
2025 A conf
Enhancing Manufacturing Process Discovery Through Sub-Process Optimization.
ICWS
Jiaxin Yan, Cong Liu, Long Cheng, Jiujun Cheng, Weijian Ni, Qingtian Zeng
2025 J jnl
Job Scheduling in Hybrid Clouds With Privacy Constraints: A Deep Reinforcement Learning Approach.
Concurr. Comput. Pract. Exp.
Haoyang He, Yan Gu, Qingzhi Liu, Hao Wu, Long Cheng
2025 J jnl
LLM-based cost-aware task scheduling for cloud computing systems.
J. Cloud Comput.
Haoran Pei, Yan Gu, Yajuan Sun, Qingle Wang, Cong Liu, Xiaomin Chen, Long Cheng
2025 J jnl
M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model.
CoRR
Hang Fan, Mingxuan Li, Zuhan Zhang, Long Cheng, Yujian Ye, Dunnan Liu
2025 J jnl
Quantum Reinforcement Learning for QoS-Aware Real-Time Job Scheduling in Cloud Systems.
IEEE Syst. J.
Shuhong Dai, Nishant Saurabh, Qingle Wang, Jiawei Nian, Shuwen Kan, Ying Mao, Long Cheng
2025 J jnl
Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach.
Expert Syst. Appl.
Haoyang He, Yan Gu, Yang Hu, Fang Fang, Xin Ning, Xiaomin Chen, Long Cheng
2025 J jnl
Security and Privacy of Electric Vehicles in Intelligent Speed Advisory Systems.
IEEE Consumer Electron. Mag.
Shike Li, Long Cheng
2024 J jnl
A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling.
IEEE Trans. Sustain. Comput.
Long Cheng, Yue Wang, Feng Cheng, Cheng Liu, Zhiming Zhao, Ying Wang
2024 J jnl
A Transformer-based network intrusion detection approach for cloud security.
J. Cloud Comput.
Zhenyue Long, Huiru Yan, Guiquan Shen, Xiaolu Zhang, Haoyang He, Long Cheng
2024 J jnl
Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey.
IEEE Trans. Sustain. Comput.
Long Cheng, Yan Gu, Qingzhi Liu, Lei Yang, Cheng Liu, Ying Wang
2024 J jnl
Advancing multi-party quantum key agreement protocols: the power of a two-layer approach.
Quantum Inf. Process.
Jiawei Liu, Qingle Wang, Qingxia Mu, Yuancheng Li, Long Cheng, Wenqi Sun
2024 J jnl
Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems.
Comput. Commun.
Sen Li, Hui Jin, Yingke Gao, Ying Wang, Shuhong Dai, Yongjun Xu, Long Cheng
2024 J jnl
BD-TTS: A blockchain and DRL-based framework for trusted task scheduling in edge computing.
Comput. Networks
Jianbin Li, Hengyang Zhang, Shike Li, Long Cheng, Yiguo Guo, Sixing Wu
2024 J jnl
CASA: cost-effective EV charging scheduling based on deep reinforcement learning.
Neural Comput. Appl.
Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng
2024 J jnl
COMET: Towards Partical W4A4KV4 LLMs Serving.
CoRR
Lian Liu, Haimeng Ren, Long Cheng, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang
2024 C conf
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning.
IV
Jiaying Guo, Long Cheng, Shen Wang
2024 J jnl
Coarse to fine-based image-point cloud fusion network for 3D object detection.
Inf. Fusion
Meilan Hao, Zhongkang Zhang, Lei Li, Kejian Dong, Long Cheng, Prayag Tiwari, Xin Ning
2024 J jnl
Cost-aware cloud workflow scheduling using DRL and simulated annealing.
Digit. Commun. Networks
Yan Gu, Feng Cheng, Lijie Yang, Junhui Xu, Xiaomin Chen, Long Cheng
2024 J jnl
Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management.
IEEE Internet Things J.
Xuan Chen, Qixuan Yu, Shuhong Dai, Pengfei Sun, Haichuan Tang, Long Cheng
2024 J jnl
Discovering Hierarchical Multi-Instance Business Processes From Event Logs.
IEEE Trans. Serv. Comput.
Cong Liu, Ying Wang, Lijie Wen, Jiujun Cheng, Long Cheng, Qingtian Zeng
2024 J jnl
Fusing differentiable rendering and language-image contrastive learning for superior zero-shot point cloud classification.
Displays
Jinlong Xie, Long Cheng, Gang Wang, Min Hu, Zaiyang Yu, Minghua Du, Xin Ning
2024 J jnl
Guest Editorial of the Special Section on Intelligent Computing for Big Data in Consumer Internet of Things.
IEEE Trans. Consumer Electron.
Long Cheng, Qingzhi Liu, Lei Yang, John Murphy
2024 J jnl
MARP: A Cooperative Multiagent DRL System for Connected Autonomous Vehicle Platooning.
IEEE Internet Things J.
Shuhong Dai, Shike Li, Haichuan Tang, Xin Ning, Fang Fang, Yunxiao Fu, Qingle Wang, Long Cheng
2024 B conf
MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection.
ICPADS
Long Cheng, Haoyang He, Yan Gu, Qingzhi Liu, Zhiming Zhao, Fang Fang
2024 J jnl
MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs.
CoRR
Junfeng Gong, Cheng Liu, Long Cheng, Huawei Li, Xiaowei Li
2024 J jnl
Multi-modal fusion for business process prediction in call center scenarios.
Inf. Fusion
Long Cheng, Li Du, Cong Liu, Yang Hu, Fang Fang, Tomás Ward
2024 J jnl
Preface of special issue on Artificial Intelligence for time-critical computing systems.
Future Gener. Comput. Syst.
Long Cheng, Xiaomin Chen, Zhiming Zhao
2024 J jnl
Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain.
ACM Trans. Multim. Comput. Commun. Appl.
Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng
2024 J jnl
Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System.
CoRR
Zihao Jiang, Zefan Du, Shaolun Ruan, Juntao Chen, Yong Wang, Long Cheng, Rajkumar Buyya, Ying Mao
2024 J jnl
TD-SAS: A Trust-Aware and Decentralized Speed Advisory System for Energy-Efficient Autonomous Vehicle Platoons.
IEEE Trans. Intell. Veh.
Shike Li, Jianbin Li, Yin Liang, Hengyang Zhang, Sixing Wu, Shen Wang, Long Cheng
2023 J jnl
An Efficient Federated Learning System for Network Intrusion Detection.
IEEE Syst. J.
Jianbin Li, Xin Tong, Jinwei Liu, Long Cheng
2023 J jnl
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
Jiaying Guo, Long Cheng, Shen Wang
2023 J jnl
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning.
Expert Syst. Appl.
Jingwei Zhang, Long Cheng, Cong Liu, Zhiming Zhao, Ying Mao
2023 J jnl
Cross-Department Collaborative Healthcare Process Model Discovery From Event Logs.
IEEE Trans Autom. Sci. Eng.
Cong Liu, Huiling Li, Shuaipeng Zhang, Long Cheng, Qingtian Zeng
2023 B conf
DeepHealth: Geospatial and ML-Based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care.
ICCCN
Jinwei Liu, Rui Gong, Long Cheng, Richard A. Aló
2023 J jnl
Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud.
IEEE Trans. Cloud Comput.
Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu
2023 J jnl
Eco-CSAS: A Safe and Eco-Friendly Speed Advisory System for Autonomous Vehicle Platoon Using Consortium Blockchain.
IEEE Trans. Intell. Transp. Syst.
Shike Li, Jianbin Li, Jiaming Pei, Sixing Wu, Shen Wang, Long Cheng
2023 A* conf
Efficient Supernet Training Using Path Parallelism.
HPCA
Ying Xu, Long Cheng, Xuyi Cai, Xiaohan Ma, Weiwei Chen, Lei Zhang, Ying Wang
2023 J jnl
Elastic Resource Management for Deep Learning Applications in a Container Cluster.
IEEE Trans. Cloud Comput.
Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li
2023 J jnl
File processing security detection in multi-cloud environments: a process mining approach.
J. Cloud Comput.
Xiaolu Zhang, Lei Cui, Wuqiang Shen, Jijun Zeng, Li Du, Haoyang He, Long Cheng
2023 J jnl
Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net-Based Approach.
IEEE Trans. Syst. Man Cybern. Syst.
Cong Liu, Long Cheng, Qingtian Zeng, Lijie Wen
2023 J jnl
Optimal alignments between large event logs and process models over distributed systems: An approach based on Petri nets.
Inf. Sci.
Long Cheng, Cong Liu, Qingtian Zeng
2023 J jnl
PipCKG-BS: A Method to Build Cybersecurity Knowledge Graph for Blockchain Systems via the Pipeline Approach.
J. Circuits Syst. Comput.
Jianbin Li, Jifang Li, Chunlei Xie, Yousheng Liang, Ketong Qu, Long Cheng, Zhiming Zhao
2023 J jnl
Statistical Modeling of Soft Error Influence on Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
2023 J jnl
Toward Network-Aware Query Execution Systems in Large Datacenters.
IEEE Trans. Netw. Serv. Manag.
Long Cheng, Ying Wang, Rutvij H. Jhaveri, Qingle Wang, Ying Mao
2022 J jnl
A Fast Precision Tuning Solution for Always-On DNN Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ying Wang, Yintao He, Long Cheng, Huawei Li, Xiaowei Li
2022 J jnl
BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System.
IEEE Trans. Veh. Technol.
Jianbin Li, Shike Li, Long Cheng, Qingzhi Liu, Jiaming Pei, Shen Wang
2022 J jnl
CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures.
IEEE Trans. Computers
Kaiwei Zou, Ying Wang, Long Cheng, Songyun Qu, Huawei Li, Xiaowei Li
2022 J jnl
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning.
CoRR
Jiaying Guo, Long Cheng, Shen Wang
2022 J jnl
Cost-aware job scheduling for cloud instances using deep reinforcement learning.
Clust. Comput.
Feng Cheng, Yifeng Huang, Bhavana Tanpure, Pawan Sawalani, Long Cheng, Cong Liu
2022 J jnl
Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning.
Neural Comput. Appl.
Long Cheng, Archana Kalapgar, Amogh Jain, Yue Wang, Yongtai Qin, Yuancheng Li, Cong Liu
2022 B conf
CrossCas: A Novel Cross-Platform Approach for Predicting Cascades in Online Social Networks with Hidden Markov Model.
GLOBECOM
Jinwei Liu, Xiaonan Zhang, Richard A. Aló, Xiuzhen Huang, Long Cheng, Feng Deng
2022 J jnl
Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling.
IEEE Syst. J.
Yifeng Huang, Long Cheng, Lianting Xue, Cong Liu, Yuancheng Li, Jianbin Li, Tomás Ward
2022 J jnl
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems.
IEEE Trans. Parallel Distributed Syst.
Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao
2022 J jnl
Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach.
Comput. Electr. Eng.
Jingchen Yan, Yifeng Huang, Aditya Gupta, Anubhav Gupta, Cong Liu, Jianbin Li, Long Cheng
2022 J jnl
HyPASS: Design of hybrid-SDN prevention of attacks of source spoofing with host discovery and address validation.
Phys. Commun.
Ramesh Chand Meena, Surbhi Bhatia, Rutvij H. Jhaveri, Long Cheng, Ankit Kumar, Arwa A. Mashat
2022 C conf
Iterative Qubits Management for Quantum Index Searching in a Hybrid System.
IPCCC
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
2022 J jnl
Iterative Qubits Management for Quantum Index Searching in a Hybrid System.
CoRR
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
2022 J jnl
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems.
IEEE Trans. Intell. Transp. Syst.
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
2022 J jnl
Measuring Similarity for Data-Aware Business Processes.
IEEE Trans Autom. Sci. Eng.
Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, Jiujun Cheng
2022 C conf
Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers.
IPCCC
YuQi Fu, Naseem Machlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu
2022 J jnl
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.
IEEE Syst. J.
Ying Mao, YuQi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
2022 J jnl
Statistical Modeling of Soft Error Influence on Neural Networks.
CoRR
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
2021 J jnl
A Low-Cost Multi-Failure Resilient Replication Scheme for High-Data Availability in Cloud Storage.
IEEE/ACM Trans. Netw.
Jinwei Liu, Haiying Shen, Hongmei Chi, Husnu S. Narman, Yongyi Yang, Long Cheng, Wingyan Chung
2021 J jnl
An Edge 3D CNN Accelerator for Low-Power Activity Recognition.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ying Wang, Yongchen Wang, Cong Shi, Long Cheng, Huawei Li, Xiaowei Li
2021 B conf
CDetector: Extracting Textual Features of Financial Social Media to Detect Cyber Attacks.
ICCCN
Jinwei Liu, Long Cheng, Hongmei Chi, Cong Liu, Richard A. Aló
2021 J jnl
Cluster-based flow control in hybrid software-defined wireless sensor networks.
Comput. Networks
Qingzhi Liu, Long Cheng, Renan C. A. Alves, Tanir Ozcelebi, Fernando A. Kuipers, Guixian Xu, Johan Lukkien, Shanzhi Chen
2021 J jnl
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks.
IEEE Netw.
Qingzhi Liu, Long Cheng, Adele Lu Jia, Cong Liu
2021 — conf
DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care.
IEEE BigData
Jinwei Liu, Long Cheng, Ankur Sarker, Li Yan, Richard A. Aló
2021 J jnl
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems.
CoRR
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
2021 J jnl
Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers.
IEEE Trans. Parallel Distributed Syst.
Long Cheng, Ying Wang, Qingzhi Liu, Dick H. J. Epema, Cheng Liu, Ying Mao, John Murphy
2021 J jnl
Privacy-Preserving Behavioral Correctness Verification of Cross-Organizational Workflow With Task Synchronization Patterns.
IEEE Trans Autom. Sci. Eng.
Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, MengChu Zhou, Jiujun Cheng
2021 — conf
Quantum Machine Learning for Electricity Theft Detection: an Initial Investigation.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Lianting Xue, Long Cheng, Yuancheng Li, Ying Mao
2021 J jnl
R2F: A Remote Retraining Framework for AIoT Processors With Computing Errors.
IEEE Trans. Very Large Scale Integr. Syst.
Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
2021 J jnl
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors.
CoRR
Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
2021 J jnl
Sampling business process event logs using graph-based ranking model.
Concurr. Comput. Pract. Exp.
Cong Liu, Yulong Pei, Long Cheng, Qingtian Zeng, Hua Duan
2021 — conf
SwiftS: A Dependency-Aware and Resource Efficient Scheduling for High Throughput in Clouds.
INFOCOM Workshops
Jinwei Liu, Long Cheng
2021 C conf
TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs.
KSEM
Jianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou, Long Cheng
2020 J jnl
A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems.
IEEE Syst. J.
Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy
2020 — conf
DeepDive: Examining Determinants of Health Disparities in COVID-19 for Improving Pandemic Health Care.
ICVISP
Jinwei Liu, Long Cheng, Hongmei Chi
2020 J jnl
Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud.
CoRR
Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu
2020 — conf
Nonnegative Residual Matrix Factorization for Community Detection.
WISE (1)
Yulong Pei, Cong Liu, Chuanyang Zheng, Long Cheng
2020 J jnl
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes.
CoRR
Ying Mao, YuQi Fu, Suwen Gu, Sudip Vhaduri, Long Cheng, Qingzhi Liu
2020 J jnl
Rethinking Defeasible Reasoning: A Scalable Approach.
CoRR
Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen J. Wade, Long Cheng
2020 J jnl
Rethinking Defeasible Reasoning: A Scalable Approach.
Theory Pract. Log. Program.
Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen J. Wade, Long Cheng
2020 J jnl
Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment.
IEEE Trans. Serv. Comput.
Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst
2020 J jnl
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.
CoRR
Ying Mao, YuQi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
2019 J jnl
A QoS-QoR Aware CNN Accelerator Design Approach.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ying Wang, Huawei Li, Long Cheng, Xiaowei Li
2019 B conf
CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks.
WCNC
Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando A. Kuipers, Johan Lukkien
2019 B conf
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing.
CCGRID
Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien
2019 B conf
FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications.
ICPP
Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou
2019 B conf
Learning Process Models in IoT Edge.
SERVICES
Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy
2019 J jnl
Load-balancing distributed outer joins through operator decomposition.
J. Parallel Distributed Comput.
Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang
2019 — conf
Resilient Neural Network Training for Accelerators with Computing Errors.
ASAP
Dawen Xu, KouZi Xing, Cheng Liu, Ying Wang, Yulin Dai, Long Cheng, Huawei Li, Lei Zhang
2019 — conf
Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System.
HPEC
Wenjia Zheng, Yun Song, Zihao Guo, Yongchen Cui, Suwen Gu, Ying Mao, Long Cheng
2018 J jnl
Efficient Skew Handling for Outer Joins in a Cloud Computing Environment.
IEEE Trans. Cloud Comput.
Long Cheng, Spyros Kotoulas
2018 — conf
Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling.
Euro-Par
Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos
2017 B conf
A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics.
ICPP
Long Cheng, Ying Wang, Yulong Pei, Dick H. J. Epema
2017 — conf
Business Process Comparison: A Methodology and Case Study.
BIS
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
2017 J jnl
Design and evaluation of small-large outer joins in cloud computing environments.
J. Parallel Distributed Comput.
Long Cheng, Ilias Tachmazidis, Spyros Kotoulas, Grigoris Antoniou
2017 B conf
Efficient Event Correlation over Distributed Systems.
CCGrid
Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst
2017 J jnl
Improving the robustness and performance of parallel joins over distributed systems.
J. Parallel Distributed Comput.
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2016 Misc conf
Efficient Data Redistribution to Speedup Big Data Analytics in Large Systems.
HiPC
Long Cheng, Tao Li
2016 — conf
Efficient Large Outer Joins over MapReduce.
Euro-Par
Long Cheng, Spyros Kotoulas
2016 J jnl
Fast Compression of Large Semantic Web Data Using X10.
IEEE Trans. Parallel Distributed Syst.
Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2015 Misc conf
High throughput indexing for large-scale semantic web data.
SAC
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2015 J jnl
Scale-Out Processing of Large RDF Datasets.
IEEE Trans. Big Data
Long Cheng, Spyros Kotoulas
2014 — conf
A Fully Parallel Framework for Analyzing RDF Data.
ISWC (Posters & Demos)
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2014 — conf
A two-tier index architecture for fast processing large RDF data over distributed memory.
HT
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2014 Misc conf
Design and evaluation of parallel hashing over large-scale data.
HiPC
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2014 B conf
Efficiently Handling Skew in Outer Joins on Distributed Systems.
CCGRID
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2014 C conf
Investigating Distributed Approaches to Efficiently Extract Textual Evidences for Biomedical Ontologies.
BIBE
Long Cheng, Yue Ma
2014 B conf
Massively Parallel Reasoning under the Well-Founded Semantics Using X10.
ICTAI
Ilias Tachmazidis, Long Cheng, Spyros Kotoulas, Grigoris Antoniou, Tomas E. Ward
2014 — conf
Robust and Efficient Large-Large Table Outer Joins on Distributed Infrastructures.
Euro-Par
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2014 A conf
Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems.
CIKM
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2014 J jnl
Scalable RDF Data Compression using X10.
CoRR
Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2013 — conf
QbDJ: A Novel Framework for Handling Skew in Parallel Join Processing on Distributed Memory.
HPCC/EUC
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
2012 — conf
Runtime Characterization of Triple Stores.
CSE
Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos