Bin Wang

26 papers Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive CPU sharing for co-located latency-critical JVM applications and batch jobs under dynamic workloads.
Future Gener. Comput. Syst.
Dishi Xu, Fagui Liu, Bin Wang, Xuhao Tang, Qingbo Wu
2026 J jnl
Cooperative Coevolution Genetic Programming for Dynamic Joint Workflow Scheduling and Container Scaling in Cloud-Fog Computing.
IEEE Trans. Serv. Comput.
Zai-Xing Sun, Fangfang Zhang, Yi Mei, Hejiao Huang, Chonglin Gu, Bin Wang, Mengjie Zhang
2026 J jnl
PAWSSP: A Two-Stage Parallelism-Aware Algorithm for Joint Workflow Scheduling and Service Placement in Edge Computing.
IEEE Trans. Serv. Comput.
Guanyu Chen, Weiwei Lin, Fang Shi, Haotong Zhang, Bin Wang
2026 J jnl
Privacy-Aware and Energy-Efficient Task Offloading for the Internet of Energy.
IEEE Netw.
Bin Wang, Xiangyu Ren, Jun Jiang, Quan Tang, Xingchi Chen, Xuhao Tang, Fa Zhu
2025 J jnl
Cost and Makespan-Aware Task Scheduling With Deep Reinforcement Learning in Multicloud Environments.
IEEE Trans. Comput. Soc. Syst.
Xuhao Tang, Fagui Liu, Bin Wang, Mengjiao Zhang, Jun Jiang, Quan Tang, Qingbo Wu, C. L. Philip Chen
2025 J jnl
EC5: Edge-cloud collaborative computing framework with compressive communication.
Future Gener. Comput. Syst.
Jingwei Tan, Fagui Liu, Bin Wang, Qingbo Wu, C. L. Philip Chen
2025 J jnl
GenesisRM: A state-driven approach to resource management for distributed JVM web applications.
Future Gener. Comput. Syst.
Dishi Xu, Fagui Liu, Bin Wang, Xuhao Tang, Dinghao Zeng, Huaiji Gao, Runbin Chen, Qingbo Wu
2025 J jnl
Improved Cross-Modal Retrieval Systems Using Self-Reinforcement and Quadruplet Alignment Hashing.
IEEE Trans. Consumer Electron.
Xiaoqing Liu, Zhiwen Yu, Jun Jiang, Bin Wang, Fa Zhu, Xingchi Chen, Witold Pedrycz
2025 J jnl
Incremental Semi-Supervised Learning for Data Streams Classification in Internet of Things.
IEEE Trans. Netw. Serv. Manag.
Jun Jiang, Bin Wang, Quan Tang, Guoxiang Zhong, Xuhao Tang, Joel J. P. C. Rodrigues
2025 J jnl
LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment.
IEEE Trans. Consumer Electron.
Xuhao Tang, Fagui Liu, Dishi Xu, Jun Jiang, Quan Tang, Bin Wang, Qingbo Wu, C. L. Philip Chen
2025 J jnl
One-pass online learning under evolving feature data streams: A non-parametric model.
Pattern Recognit.
Han Zhou, Hongpeng Yin, Bin Wang, Chenglin Liao
2025 J jnl
STCSA: A spatio-temporal collaborative scheduling approach for production-inspection in PCB manufacturing.
Adv. Eng. Informatics
Yongheng Liu, Fagui Liu, Xing Liu, Hongji Chen, Hu Hongfei, Bin Wang
2025 J jnl
Transferable and discriminative broad network for unsupervised domain adaptation.
Knowl. Based Syst.
Liujian Zhang, Zhiwen Yu, Kaixiang Yang, Bin Wang, C. L. Philip Chen
2024 J jnl
Approximate Markov Perfect Equilibrium of Joint Offloading Policy for Multi-IV Using Reward-Shared Distributed Method.
IEEE Trans. Intell. Veh.
Chao Li, Fagui Liu, Bin Wang, Xuhao Tang, Jie Liu, C. L. Philip Chen
2024 J jnl
Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder.
IEEE Trans. Netw. Serv. Manag.
Guoxiang Zhong, Fagui Liu, Jun Jiang, Bin Wang, Xi Yao, C. L. Philip Chen
2024 J jnl
Refining one-class representation: A unified transformer for unsupervised time-series anomaly detection.
Inf. Sci.
Guoxiang Zhong, Fagui Liu, Jun Jiang, Bin Wang, C. L. Philip Chen
2024 J jnl
Workflow scheduling based on asynchronous advantage actor-critic algorithm in multi-cloud environment.
Expert Syst. Appl.
Xuhao Tang, Fagui Liu, Bin Wang, Dishi Xu, Jun Jiang, Qingbo Wu, C. L. Philip Chen
2023 J jnl
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing.
Comput. Commun.
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang
2023 J jnl
Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks.
IEEE Trans. Intell. Veh.
Chao Li, Fagui Liu, Bin Wang, C. L. Philip Chen, Xuhao Tang, Jun Jiang, Jie Liu
2022 J jnl
A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams.
Comput. Commun.
Jun Jiang, Fagui Liu, Yongheng Liu, Quan Tang, Bin Wang, Guoxiang Zhong, Weizheng Wang
2022 J jnl
A multi-output prediction model for physical machine resource usage in cloud data centers.
Future Gener. Comput. Syst.
Yongde Zhang, Fagui Liu, Bin Wang, Weiwei Lin, Guoxiang Zhong, Minxian Xu, Keqin Li
2022 J jnl
A two-stage scheduling method for deadline-constrained task in cloud computing.
Clust. Comput.
Xiaojian He, Junmin Shen, Fagui Liu, Bin Wang, Guoxiang Zhong, Jun Jiang
2022 — conf
Energy Efficient Resource Scheduling in Cloud Computing Based on Task Arrival Model.
GLOBECOM (Workshops)
Bin Wang, Yongheng Liu, Fan Zhang, Jun Jiang
2021 J jnl
Energy-efficient VM scheduling based on deep reinforcement learning.
Future Gener. Comput. Syst.
Bin Wang, Fagui Liu, Weiwei Lin
2021 J jnl
Energy-efficient collaborative optimization for VM scheduling in cloud computing.
Comput. Networks
Bin Wang, Fagui Liu, Weiwei Lin, Zhenjiang Ma, Dishi Xu
2020 J jnl
A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center.
IEEE Access
Fagui Liu, Zhenjiang Ma, Bin Wang, Weiwei Lin