Runtime Characterization of Triple Stores. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (CSE, 2012)

QbDJ: A Novel Framework for Handling Skew in Parallel Join Processing on Distributed Memory. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (HPCC/EUC, 2013)

Investigating Distributed Approaches to Efficiently Extract Textual Evidences for Biomedical Ontologies. - Long Cheng 003; Yue Ma (BIBE, 2014)

Efficiently Handling Skew in Outer Joins on Distributed Systems. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (CCGRID, 2014)

Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (CIKM, 2014)

Robust and Efficient Large-Large Table Outer Joins on Distributed Infrastructures. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (Euro-Par, 2014)

Design and evaluation of parallel hashing over large-scale data. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (HiPC, 2014)

A two-tier index architecture for fast processing large RDF data over distributed memory. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (HT, 2014)

Massively Parallel Reasoning under the Well-Founded Semantics Using X10. - Ilias Tachmazidis; Long Cheng 003; Spyros Kotoulas; Grigoris Antoniou; Tomas E. Ward (ICTAI, 2014)

A Fully Parallel Framework for Analyzing RDF Data. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (ISWC (Posters & Demos), 2014)

Scalable RDF Data Compression using X10. - Long Cheng 003; Avinash Malik; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (CoRR, 2014)

High throughput indexing for large-scale semantic web data. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (SAC, 2015)

Scale-Out Processing of Large RDF Datasets. - Long Cheng 003; Spyros Kotoulas (IEEE Trans. Big Data, 2015)

Efficient Large Outer Joins over MapReduce. - Long Cheng 003; Spyros Kotoulas (Euro-Par, 2016)

Efficient Data Redistribution to Speedup Big Data Analytics in Large Systems. - Long Cheng 003; Tao Li (HiPC, 2016)

Fast Compression of Large Semantic Web Data Using X10. - Long Cheng 003; Avinash Malik; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (IEEE Trans. Parallel Distributed Syst., 2016)

Business Process Comparison: A Methodology and Case Study. - Alifah Syamsiyah; Alfredo Bolt; Long Cheng 003; Bart F. A. Hompes; R. P. Jagadeesh Chandra Bose; Boudewijn F. van Dongen; Wil M. P. van der Aalst (BIS, 2017)

Efficient Event Correlation over Distributed Systems. - Long Cheng 003; Boudewijn F. van Dongen; Wil M. P. van der Aalst (CCGrid, 2017)

A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics. - Long Cheng 003; Ying Wang 001; Yulong Pei; Dick H. J. Epema (ICPP, 2017)

Improving the robustness and performance of parallel joins over distributed systems. - Long Cheng 003; Spyros Kotoulas; Tomas E. Ward; Georgios Theodoropoulos 001 (J. Parallel Distributed Comput., 2017)

Design and evaluation of small-large outer joins in cloud computing environments. - Long Cheng 003; Ilias Tachmazidis; Spyros Kotoulas; Grigoris Antoniou (J. Parallel Distributed Comput., 2017)

Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling. - Long Cheng 003; John Murphy 001; Qingzhi Liu; Chunliang Hao; Georgios Theodoropoulos 001 (Euro-Par, 2018)

Efficient Skew Handling for Outer Joins in a Cloud Computing Environment. - Long Cheng 003; Spyros Kotoulas (IEEE Trans. Cloud Comput., 2018)

Resilient Neural Network Training for Accelerators with Computing Errors. - Dawen Xu 002; KouZi Xing; Cheng Liu 008; Ying Wang 001; Yulin Dai; Long Cheng 003; Huawei Li 001; Lei Zhang 008 (ASAP, 2019)

Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. - Qingzhi Liu; Long Cheng 003; Tanir Ozcelebi; John Murphy 001; Johan Lukkien (CCGRID, 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 001; Long Cheng 003 (HPEC, 2019)

FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications. - Wenjia Zheng; Michael Tynes; Henry Gorelick; Ying Mao 001; Long Cheng 003; Yantian Hou (ICPP, 2019)

Learning Process Models in IoT Edge. - Long Cheng 003; Cong Liu 003; Qingzhi Liu; Yucong Duan; John Murphy 001 (SERVICES, 2019)

CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks. - Qingzhi Liu; Tanir Ozcelebi; Long Cheng 003; Fernando A. Kuipers; Johan Lukkien (WCNC, 2019)

Load-balancing distributed outer joins through operator decomposition. - Long Cheng 003; Spyros Kotoulas; Qingzhi Liu; Ying Wang 001 (J. Parallel Distributed Comput., 2019)

A QoS-QoR Aware CNN Accelerator Design Approach. - Ying Wang 001; Huawei Li 001; Long Cheng 003; Xiaowei Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

DeepDive: Examining Determinants of Health Disparities in COVID-19 for Improving Pandemic Health Care. - Jinwei Liu; Long Cheng 003; Hongmei Chi (ICVISP, 2020)

Nonnegative Residual Matrix Factorization for Community Detection. - Yulong Pei; Cong Liu 012; Chuanyang Zheng; Long Cheng 003 (WISE (1), 2020)

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes. - Ying Mao 001; Yuqi Fu; Suwen Gu; Sudip Vhaduri; Long Cheng 003; Qingzhi Liu (CoRR, 2020)

Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud. - Ying Mao 001; Weifeng Yan; Yun Song; Yue Zeng; Ming Chen; Long Cheng 003; Qingzhi Liu (CoRR, 2020)

A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems. - Xuan Chen; Long Cheng 003; Cong Liu 012; Qingzhi Liu; Jinwei Liu; Ying Mao 001; John Murphy 001 (IEEE Syst. J., 2020)

Rethinking Defeasible Reasoning: A Scalable Approach. - Michael J. Maher; Ilias Tachmazidis; Grigoris Antoniou; Stephen J. Wade; Long Cheng 003 (Theory Pract. Log. Program., 2020)

Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment. - Long Cheng 003; Boudewijn F. van Dongen; Wil M. P. van der Aalst (IEEE Trans. Serv. Comput., 2020)

DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care. - Jinwei Liu; Long Cheng 003; Ankur Sarker; Li Yan 004; Richard A. Aló (IEEE BigData, 2021)

CDetector: Extracting Textual Features of Financial Social Media to Detect Cyber Attacks. - Jinwei Liu; Long Cheng 003; Hongmei Chi; Cong Liu 012; Richard A. Aló (ICCCN, 2021)

SwiftS: A Dependency-Aware and Resource Efficient Scheduling for High Throughput in Clouds. - Jinwei Liu; Long Cheng 003 (INFOCOM Workshops, 2021)

Quantum Machine Learning for Electricity Theft Detection: an Initial Investigation. - Lianting Xue; Long Cheng 003; Yuancheng Li; Ying Mao 001 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 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 003 (KSEM, 2021)

Cluster-based flow control in hybrid software-defined wireless sensor networks. - Qingzhi Liu; Long Cheng 003; Renan C. A. Alves; Tanir Ozcelebi; Fernando A. Kuipers; Guixian Xu; Johan Lukkien; Shanzhi Chen (Comput. Networks, 2021)

Sampling business process event logs using graph-based ranking model. - Cong Liu 012; Yulong Pei; Long Cheng 003; Qingtian Zeng; Hua Duan (Concurr. Comput. Pract. Exp., 2021)

Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. - Qingzhi Liu; Long Cheng 003; Adele Lu Jia; Cong Liu 012 (IEEE Netw., 2021)

Privacy-Preserving Behavioral Correctness Verification of Cross-Organizational Workflow With Task Synchronization Patterns. - Cong Liu 012; Qingtian Zeng; Long Cheng 003; Hua Duan; Mengchu Zhou; Jiujun Cheng (IEEE Trans Autom. Sci. Eng., 2021)

An Edge 3D CNN Accelerator for Low-Power Activity Recognition. - Ying Wang 001; Yongchen Wang; Cong Shi 003; Long Cheng 003; Huawei Li 001; Xiaowei Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits 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 003; Wingyan Chung (IEEE/ACM Trans. Netw., 2021)

Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers. - Long Cheng 003; Ying Wang 001; Qingzhi Liu; Dick H. J. Epema; Cheng Liu 008; Ying Mao 001; John Murphy 001 (IEEE Trans. Parallel Distributed Syst., 2021)

R2F: A Remote Retraining Framework for AIoT Processors With Computing Errors. - Dawen Xu 002; Meng He 012; Cheng Liu 008; Ying Wang 001; Long Cheng 003; Huawei Li 001; Xiaowei Li 001; Kwang-Ting Cheng (IEEE Trans. Very Large Scale Integr. Syst., 2021)

CrossCas: A Novel Cross-Platform Approach for Predicting Cascades in Online Social Networks with Hidden Markov Model. - Jinwei Liu; Xiaonan Zhang 001; Richard A. Aló; Xiuzhen Huang; Long Cheng 003; Feng Deng (GLOBECOM, 2022)

Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers. - Yuqi Fu; Naseem Machlovi; Ying Mao 001; Jiayin Wang; Long Cheng 003; Qingzhi Liu (IPCCC, 2022)

Iterative Qubits Management for Quantum Index Searching in a Hybrid System. - Wenrui Mu; Ying Mao 001; Long Cheng 003; Qingle Wang; Weiwen Jiang; Pin-Yu Chen (IPCCC, 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 003; Jianbin Li; Long Cheng 003 (Comput. Electr. Eng., 2022)

Cost-aware job scheduling for cloud instances using deep reinforcement learning. - Feng Cheng; Yifeng Huang; Bhavana Tanpure; Pawan Sawalani; Long Cheng 003; Cong Liu 003 (Clust. Comput., 2022)

Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning. - Long Cheng 003; Archana Kalapgar; Amogh Jain; Yue Wang 073; Yongtai Qin; Yuancheng Li; Cong Liu 012 (Neural Comput. Appl., 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 003; Ankit Kumar; Arwa A. Mashat (Phys. Commun., 2022)

Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling. - Yifeng Huang; Long Cheng 003; Lianting Xue; Cong Liu 012; Yuancheng Li; Jianbin Li; Tomás Ward (IEEE Syst. J., 2022)

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. - Ying Mao 001; Yuqi Fu; Wenjia Zheng; Long Cheng 003; Qingzhi Liu; Dingwen Tao (IEEE Syst. J., 2022)

Measuring Similarity for Data-Aware Business Processes. - Cong Liu 012; Qingtian Zeng; Long Cheng 003; Hua Duan; Jiujun Cheng (IEEE Trans Autom. Sci. Eng., 2022)

CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures. - Kaiwei Zou; Ying Wang 001; Long Cheng 003; Songyun Qu; Huawei Li 001; Xiaowei Li 001 (IEEE Trans. Computers, 2022)

A Fast Precision Tuning Solution for Always-On DNN Accelerators. - Ying Wang 001; Yintao He; Long Cheng 003; Huawei Li 001; Xiaowei Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems. - Mingming Liu 001; Long Cheng 003; Yingqi Gu; Ying Wang 001; Qingzhi Liu; Noel E. O'Connor (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems. - Qingzhi Liu; Tiancong Xia; Long Cheng 003; Merijn van Eijk; Tanir Ozcelebi; Ying Mao 001 (IEEE Trans. Parallel Distributed Syst., 2022)

BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System. - Jianbin Li; Shike Li; Long Cheng 003; Qingzhi Liu; Jiaming Pei; Shen Wang 006 (IEEE Trans. Veh. Technol., 2022)

Efficient Supernet Training Using Path Parallelism. - Ying Xu; Long Cheng 003; Xuyi Cai; Xiaohan Ma; Weiwei Chen; Lei Zhang 008; Ying Wang 001 (HPCA, 2023)

DeepHealth: Geospatial and ML-Based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care. - Jinwei Liu; Rui Gong; Long Cheng 003; Richard A. Aló (ICCCN, 2023)

Optimal alignments between large event logs and process models over distributed systems: An approach based on Petri nets. - Long Cheng 003; Cong Liu 012; Qingtian Zeng (Inf. Sci., 2023)

Elastic Resource Management for Deep Learning Applications in a Container Cluster. - Ying Mao 001; Vaishali Sharma; Wenjia Zheng; Long Cheng 003; Qiang Guan; Ang Li 006 (IEEE Trans. Cloud Comput., 2023)

Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud. - Ying Mao 001; Weifeng Yan; Yun Song; Yue Zeng; Ming Chen; Long Cheng 003; Qingzhi Liu (IEEE Trans. Cloud Comput., 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 006; Long Cheng 003 (IEEE Trans. Intell. Transp. Syst., 2023)

Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net-Based Approach. - Cong Liu 012; Long Cheng 003; Qingtian Zeng; Lijie Wen 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

An Efficient Federated Learning System for Network Intrusion Detection. - Jianbin Li; Xin Tong; Jinwei Liu; Long Cheng 003 (IEEE Syst. J., 2023)

Cross-Department Collaborative Healthcare Process Model Discovery From Event Logs. - Cong Liu 012; Huiling Li; Shuaipeng Zhang; Long Cheng 003; Qingtian Zeng (IEEE Trans Autom. Sci. Eng., 2023)

CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning. - Jiaying Guo; Long Cheng 003; Shen Wang 006 (IEEE Trans. Intell. Transp. Syst., 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 003; Zhiming Zhao (J. Circuits Syst. Comput., 2023)

Statistical Modeling of Soft Error Influence on Neural Networks. - Haitong Huang; Xinghua Xue; Cheng Liu 008; Ying Wang 001; Tao Luo 014; Long Cheng 003; Huawei Li 001; Xiaowei Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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 003; Cong Liu 012; Zhiming Zhao; Ying Mao 001 (Expert Syst. Appl., 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 003 (J. Cloud Comput., 2023)

Toward Network-Aware Query Execution Systems in Large Datacenters. - Long Cheng 003; Ying Wang 001; Rutvij H. Jhaveri; Qingle Wang; Ying Mao 001 (IEEE Trans. Netw. Serv. Manag., 2023)

MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection. - Long Cheng 003; Haoyang He; Yan Gu; Qingzhi Liu; Zhiming Zhao; Fang Fang 007 (ICPADS, 2024)

BD-TTS: A blockchain and DRL-based framework for trusted task scheduling in edge computing. - Jianbin Li; Hengyang Zhang; Shike Li; Long Cheng 003; Yiguo Guo; Sixing Wu (Comput. Networks, 2024)

Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems. - Sen Li; Hui Jin; Yingke Gao; Ying Wang 001; Shuhong Dai; Yongjun Xu 001; Long Cheng 003 (Comput. Commun., 2024)

Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System. - Zihao Jiang 010; Zefan Du; Shaolun Ruan; Juntao Chen; Yong Wang 021; Long Cheng 003; Rajkumar Buyya; Ying Mao 001 (CoRR, 2024)

MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs. - Junfeng Gong; Cheng Liu 008; Long Cheng 003; Huawei Li 001; Xiaowei Li 001 (CoRR, 2024)

COMET: Towards Partical W4A4KV4 LLMs Serving. - Lian Liu; Haimeng Ren; Long Cheng 003; Zhaohui Xu; Yudong Pan; Mengdi Wang; Xiaowei Li 001; Yinhe Han 001; Ying Wang 001 (CoRR, 2024)

Cost-aware cloud workflow scheduling using DRL and simulated annealing. - Yan Gu; Feng Cheng; Lijie Yang; Junhui Xu; Xiaomin Chen; Long Cheng 003 (Digit. Commun. Networks, 2024)

Fusing differentiable rendering and language-image contrastive learning for superior zero-shot point cloud classification. - Jinlong Xie; Long Cheng 003; Gang Wang 023; Min Hu; Zaiyang Yu; Minghua Du; Xin Ning 001 (Displays, 2024)

Preface of special issue on Artificial Intelligence for time-critical computing systems. - Long Cheng 003; Xiaomin Chen; Zhiming Zhao (Future Gener. Comput. Syst., 2024)

Multi-modal fusion for business process prediction in call center scenarios. - Long Cheng 003; Li Du; Cong Liu 012; Yang Hu 009; Fang Fang 007; Tomás Ward (Inf. Fusion, 2024)

Coarse to fine-based image-point cloud fusion network for 3D object detection. - Meilan Hao; Zhongkang Zhang; Lei Li; Kejian Dong; Long Cheng 003; Prayag Tiwari; Xin Ning 001 (Inf. Fusion, 2024)

Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management. - Xuan Chen; Qixuan Yu 003; Shuhong Dai; Pengfei Sun; Haichuan Tang; Long Cheng 003 (IEEE Internet Things J., 2024)

Discovering Hierarchical Multi-Instance Business Processes From Event Logs. - Cong Liu 012; Ying Wang 001; Lijie Wen 001; Jiujun Cheng; Long Cheng 003; Qingtian Zeng (IEEE Trans. Serv. Comput., 2024)

Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey. - Long Cheng 003; Yan Gu; Qingzhi Liu; Lei Yang 018; Cheng Liu 008; Ying Wang 001 (IEEE Trans. Sustain. Comput., 2024)

A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling. - Long Cheng 003; Yue Wang 073; Feng Cheng; Cheng Liu 008; Zhiming Zhao; Ying Wang 001 (IEEE Trans. Sustain. Comput., 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 003; Wenqi Sun (Quantum Inf. Process., 2024)

CASA: cost-effective EV charging scheduling based on deep reinforcement learning. - Ao Zhang; Qingzhi Liu; Jinwei Liu; Long Cheng 003 (Neural Comput. Appl., 2024)

Guest Editorial of the Special Section on Intelligent Computing for Big Data in Consumer Internet of Things. - Long Cheng 003; Qingzhi Liu; Lei Yang 018; John Murphy 001 (IEEE Trans. Consumer Electron., 2024)

Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain. - Qingzhi Liu; Yuchen Huang; Chenglu Jin; Xiaohan Zhou; Ying Mao 001; Cagatay Catal; Long Cheng 003 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

TD-SAS: A Trust-Aware and Decentralized Speed Advisory System for Energy-Efficient Autonomous Vehicle Platoons. - Shike Li; Jianbin Li; Yin Liang; Hengyang Zhang; Sixing Wu; Shen Wang 006; Long Cheng 003 (IEEE Trans. Intell. Veh., 2024)

MARP: A Cooperative Multiagent DRL System for Connected Autonomous Vehicle Platooning. - Shuhong Dai; Shike Li; Haichuan Tang; Xin Ning 001; Fang Fang 007; Yunxiao Fu; Qingle Wang; Long Cheng 003 (IEEE Internet Things J., 2024)

A Transformer-based network intrusion detection approach for cloud security. - Zhenyue Long; Huiru Yan; Guiquan Shen; Xiaolu Zhang; Haoyang He; Long Cheng 003 (J. Cloud Comput., 2024)

COMET: Towards Practical W4A4KV4 LLMs Serving. - Lian Liu; Long Cheng 003; Haimeng Ren; Zhaohui Xu; Yudong Pan; Mengdi Wang; Xiaowei Li 001; Yinhe Han 001; Ying Wang 001 (ASPLOS (2), 2025)

Deep reinforcement learning for optimal microgrid energy management with renewable energy and electric vehicle integration. - Baoyin Xiong; Lili Zhang 012; Yang Hu 009; Fang Fang 007; Qingzhi Liu; Long Cheng 003 (Appl. Soft Comput., 2025)

Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach. - Haoyang He; Yan Gu; Yang Hu 009; Fang Fang 007; Xin Ning 001; Xiaomin Chen; Long Cheng 003 (Expert Syst. Appl., 2025)

Editorial: Neural network models in autonomous robotics. - Long Cheng 003; Ying Mao 001; Tomás Ward (Frontiers Neurorobotics, 2025)

Job Scheduling in Hybrid Clouds With Privacy Constraints: A Deep Reinforcement Learning Approach. - Haoyang He; Yan Gu; Qingzhi Liu; Hao Wu; Long Cheng 003 (Concurr. Comput. Pract. Exp., 2025)

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review. - Yan Gu; Zhaoze Liu; Shuhong Dai; Cong Liu 012; Ying Wang 001; Shen Wang 006; Georgios Theodoropoulos 001; Long Cheng 003 (CoRR, 2025)

Dual Guidance Enabled Fuzzy Inference for Enhanced Fine-Grained Recognition. - Qiupu Chen; Feng He; Gang Wang 023; Xiao Bai 001; Long Cheng 003; Xin Ning 001 (IEEE Trans. Fuzzy Syst., 2025)

Adversarial Testing in LLMs: Insights into Decision-Making Vulnerabilities. - LiLi Zhang 007; Haomiaomiao Wang; Long Cheng 003; Libao Deng; Tomás Ward (CoRR, 2025)

DNN-Based Task Partitioning and Offloading in Edge-Cloud Collaboration Within Electric Vehicles. - Huiru Yan; Yan Gu; Haoyang He; Xin Ning 001; Qingle Wang; Long Cheng 003 (IEEE Trans. Consumer Electron., 2025)

M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model. - Hang Fan; Mingxuan Li; Zuhan Zhang; Long Cheng 003; Yujian Ye; Dunnan Liu (CoRR, 2025)

Quantum Reinforcement Learning for QoS-Aware Real-Time Job Scheduling in Cloud Systems. - Shuhong Dai; Nishant Saurabh; Qingle Wang; Jiawei Nian; Shuwen Kan; Ying Mao 001; Long Cheng 003 (IEEE Syst. J., 2025)

Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications. - Cong Liu 012; Wenjuan Liu; Na Guo; Rongjia Song; Yan Gu; Long Cheng 003; Qingtian Zeng (J. Cloud Comput., 2025)

M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model. - Hang Fan; Mingxuan Li; Zuhan Zhang; Long Cheng 003; Yujian Ye; Weican Liu; Dunnan Liu (Inf. Fusion, 2026)

MARNet: Multi-scale adaptive relational network for robust point cloud completion via cross-modal fusion. - Jinlong Xie; Liping Zhang; Long Cheng 003; Jian Yao 005; Pengjiang Qian; Binrong Zhu; Guiran Liu (Inf. Fusion, 2026)