A Genetic Algorithm Based Mechanism for Scheduling Mobile Sensors in Hybrid WSNs Applications. - Yaqiang Zhang; Zhangbing Zhou; Deng Zhao; Yunchuan Sun; Xiao Xue 001 (WASA, 2017)

Graph-Based Mechanism for Scheduling Mobile Sensors in Time-Sensitive WSNs Applications. - Yaqiang Zhang; Zhangbing Zhou; Deng Zhao; Mahmoud Barhamgi; Taj Rahman Siddiqi (IEEE Access, 2017)

A Mechanism for Continuous Object Boundary Region Detection and Prediction in Hybrid WSN. - Yaqiang Zhang; Xuefang Yi; Zhangbing Zhou; Lei Shu 001 (ISIE, 2018)

Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus. - Jinfeng Wen; Zhangbing Zhou; Zhensheng Shi; Junping Wang; Yucong Duan; Yaqiang Zhang (IEEE Access, 2018)

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks. - Yaqiang Zhang; Zhenhua Wang 005; Lin Meng; Zhangbing Zhou (Wirel. Commun. Mob. Comput., 2018)

Content-aware Deep Perceptual Image Compression. - Yiping Duan; Yaqiang Zhang; Xiaoming Tao 001; Chaoyi Han; Mai Xu; Cheng Yang 002; Jianhua Lu (WCSP, 2019)

Accurate Boundary Detection and Refinement for Continuous Objects in IoT Sensing Networks. - Zhangbing Zhou; Yaqiang Zhang; Xuefang Yi; Chao Chen 004; Haodi Ping (IEEE Commun. Mag., 2019)

QoE-Constrained Concurrent Request Optimization Through Collaboration of Edge Servers. - Yaqiang Zhang; Lin Meng; Xiao Xue 001; Zhangbing Zhou; Hiroyuki Tomiyama (IEEE Internet Things J., 2019)

Online Scheduling Optimization for DAG-Based Requests Through Reinforcement Learning in Collaboration Edge Networks. - Yaqiang Zhang; Zhangbing Zhou; Zhensheng Shi; Lin Meng; Zhenjiang Zhang (IEEE Access, 2020)

A Request Scheduling Optimization Mechanism Based on Deep Q-Learning in Edge Computing Environments. - Yaqiang Zhang; Rengang Li; Yaqian Zhao; Ruyang Li (INFOCOM Workshops, 2021)

Deep Reinforcement Learning for DAG-based Concurrent Requests Scheduling in Edge Networks. - Yaqiang Zhang; Ruyang Li; Zhangbing Zhou; Yaqian Zhao; Rengang Li (WASA (3), 2021)

Deep Reinforcement Learning with Noisy Exploration for Autonomous Driving. - Ruyang Li; Yaqiang Zhang; Yaqian Zhao; Hui Wei 005; Zhe Xu; Kun Zhao (ICMLSC, 2022)

Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment. - Yaqiang Zhang; Rengang Li; Yaqian Zhao; Ruyang Li (ISCC, 2022)

Online Decentralized Task Allocation Optimization for Edge Collaborative Networks. - Yaqiang Zhang; Ruyang Li; Yaqian Zhao; Rengang Li; Xuelei Li; Tuo Li (ISCC, 2022)

Safety Stock Forecasting based on Materials Correlation. - Yaqiang Zhang; Xiaoming Tao 001; Zhoujuan Cui; Yiping Duan; Jianhua Lu (WCSP, 2023)

Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks. - Yaqiang Zhang; Ruyang Li; Yaqian Zhao; Rengang Li; Yanwei Wang; Zhangbing Zhou (Future Gener. Comput. Syst., 2023)

Are GNNs Effective for Multimodal Fault Diagnosis in Microservice Systems? - Fei Gao; Ruyue Xin; Yaqiang Zhang (CoRR, 2025)

Asymptotically Optimal Repair of Reed-Solomon Codes with Small Sub-Packetization under Rack-Aware Model. - Ke Wang; Zhongyan Liu; Rengang Li; Yaqian Zhao; Yaqiang Zhang (CoRR, 2025)