Minimum Transmission Data Gathering Trees for Compressive Sensing in Wireless Sensor Networks. - Ruitao Xie; Xiaohua Jia (GLOBECOM, 2011)

Energy Saving Virtual Machine Allocation in Cloud Computing. - Ruitao Xie; Xiaohua Jia; Kan Yang 001; Bo Zhang 036 (ICDCS Workshops, 2013)

Multi-path Routing and Stream Scheduling with Spatial Multiplexing and Interference Cancellation in MIMO Networks. - Bo Zhang 036; Xiaohua Jia; Kan Yang 001; Ruitao Xie (ICDCS Workshops, 2013)

DAC-MACS: Effective Data Access Control for Multiauthority Cloud Storage Systems. - Kan Yang 001; Xiaohua Jia; Kui Ren 001; Bo Zhang 036; Ruitao Xie (IEEE Trans. Inf. Forensics Secur., 2013)

Enabling efficient access control with dynamic policy updating for big data in the cloud. - Kan Yang 001; Xiaohua Jia; Kui Ren 001; Ruitao Xie; Liusheng Huang (INFOCOM, 2014)

Transmission-Efficient Clustering Method for Wireless Sensor Networks Using Compressive Sensing. - Ruitao Xie; Xiaohua Jia (IEEE Trans. Parallel Distributed Syst., 2014)

Supporting Seamless Virtual Machine Migration via Named Data Networking in Cloud Data Center. - Ruitao Xie; Yonggang Wen 001; Xiaohua Jia; Haiyong Xie 001 (IEEE Trans. Parallel Distributed Syst., 2015)

A Wireless Solution for SDN (Software Defined Networking) in Data Center Networks. - Ruitao Xie; Zuneera Umair; Xiaohua Jia (GLOBECOM, 2016)

Design of Analytical Model and Algorithm for Optimal Roadside AP Placement in VANETs. - Bo Zhang 036; Xiaohua Jia; Kan Yang 001; Ruitao Xie (IEEE Trans. Veh. Technol., 2016)

Data Transfer Scheduling for Maximizing Throughput of Big-Data Computing in Cloud Systems. - Ruitao Xie; Xiaohua Jia (IEEE Trans. Cloud Comput., 2018)

Energy Efficiency Enhancement for CNN-based Deep Mobile Sensing. - Ruitao Xie; Xiaohua Jia; Lu Wang 002; Kaishun Wu (IEEE Wirel. Commun., 2019)

AODC: Automatic Offline Database Construction for Indoor Localization in a Hybrid UWB/Wi-Fi Environment. - Huilin Jie; Kai Liu 001; Hao Zhang 065; Ruitao Xie; Weiwei Wu 001; Songtao Guo (ICCC, 2020)

Adaptive Task Scheduling via End-Edge-Cloud Cooperation in Vehicular Networks. - Hualing Ren; Kai Liu 001; Penglin Dai; Yantao Li 001; Ruitao Xie; Songtao Guo (WASA (1), 2020)

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (CoRR, 2020)

Adaptive Offloading for Time-Critical Tasks in Heterogeneous Internet of Vehicles. - Chunhui Liu 005; Kai Liu 001; Songtao Guo; Ruitao Xie; Victor C. S. Lee; Sang Hyuk Son (IEEE Internet Things J., 2020)

Adaptive Online Decision Method for Initial Congestion Window in 5G Mobile Edge Computing Using Deep Reinforcement Learning. - Ruitao Xie; Xiaohua Jia; Kaishun Wu (IEEE J. Sel. Areas Commun., 2020)

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (Medical Image Anal., 2020)

Self-adapted Frame Selection Module: Refine the Input Strategy for Video Saliency Detection. - Shangrui Wu; Yang Wang; Tian Wang 001; Weijia Jia 001; Ruitao Xie (ICA3PP (2), 2021)

End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network. - Ruitao Xie; Jingxin Liu; Rui Cao 001; Connor S. Qiu; Jiang Duan; Jon Garibaldi; Guoping Qiu (IEEE Trans. Medical Imaging, 2021)

SledZig: Boosting Cross-Technology Coexistence for Low-Power Wireless Devices. - Junmei Yao; Haolang Huang; Ruitao Xie; Xiaolong Zheng 002; Kaishun Wu (ICDCS, 2022)

Finding Beautiful and Happy Images for Mental Health and Well-Being Applications. - Ruitao Xie; Connor S. Qiu; Guoping Qiu (PRCV (3), 2022)

Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach. - Xincao Xu; Kai Liu 001; Penglin Dai; Ruitao Xie; Jiangtao Luo (CoRR, 2022)

Blockchain-Based Decentralized Public Auditing for Cloud Storage. - Jiangang Shu; Xing Zou; Xiaohua Jia; Weizhe Zhang; Ruitao Xie (IEEE Trans. Cloud Comput., 2022)

Efficient Lane-Level Map Building via Vehicle-Based Crowdsourcing. - Jiangang Shu; Songlei Wang; Xiaohua Jia; Weizhe Zhang; Ruitao Xie; Hejiao Huang (IEEE Trans. Intell. Transp. Syst., 2022)

Cross-Technology Communication for Heterogeneous Wireless Devices Through Symbol-Level Energy Modulation. - Junmei Yao; Xiaolong Zheng 002; Ruitao Xie; Kaishun Wu (IEEE Trans. Mob. Comput., 2022)

QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing. - Ruitao Xie; Junhong Fang; Junmei Yao; Kai Liu 001; Xiaohua Jia; Kaishun Wu (IEEE Trans. Parallel Distributed Syst., 2022)

DeepSpectrum: A Deep-Learning-based Spectrum Identification for Wireless Signals. - Jiongkun Su; Junmei Yao; Ruitao Xie; Kaishun Wu (MSN, 2023)

Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation. - Ruitao Xie; Jingbang Chen; Limai Jiang; Rui Xiao; Yi Pan; Yunpeng Cai (CoRR, 2023)

Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder. - Ruimin Ma; Ruitao Xie; Yanlin Wang 003; Jintao Meng 001; Yanjie Wei; Wenhui Xi; Yi Pan 001 (CoRR, 2023)

Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service. - Meiying Zhang; Huan Zhao; Sheldon C. Ebron Jr.; Ruitao Xie; Kan Yang 001 (CoRR, 2023)

Sharing-Aware Task Offloading of Remote Rendering for Interactive Applications in Mobile Edge Computing. - Ruitao Xie; Junhong Fang; Junmei Yao; Xiaohua Jia; Kaishun Wu (IEEE Trans. Cloud Comput., 2023)

Efficient and Provably Secure Data Selective Sharing and Acquisition in Cloud-Based Systems. - Kan Yang 001; Jiangang Shu; Ruitao Xie (IEEE Trans. Inf. Forensics Secur., 2023)

ET2FA: A Hybrid Heuristic Algorithm for Deadline-Constrained Workflow Scheduling in Cloud. - Zai-Xing Sun; Boyu Zhang; Chonglin Gu; Ruitao Xie; Bin Qian 001; Hejiao Huang (IEEE Trans. Serv. Comput., 2023)

Mitigating Cross-Technology Interference Through Fast Signal Identification. - Junmei Yao; Wei Lou; Ruitao Xie; Xianlong Jiao; Kaishun Wu (IEEE Trans. Veh. Technol., 2023)

RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment. - Chunhui Liu 005; Kai Liu 001; Hualing Ren; Xincao Xu; Ruitao Xie; Jingjing Cao (Neural Comput. Appl., 2023)

Efficient, economical and energy-saving multi-workflow scheduling in hybrid cloud. - Zai-Xing Sun; Hejiao Huang; Zhikai Li; Chonglin Gu; Ruitao Xie; Bin Qian 001 (Expert Syst. Appl., 2023)

Towards Robust WiFi Fingerprint-Based Vehicle Tracking in Dynamic Indoor Parking Environments: An Online Learning Framework. - Kai Liu 001; Feiyu Jin; Junbo Hu; Ruitao Xie; Fuqiang Gu; Songtao Guo; Jiangtao Luo (IEEE Trans. Mob. Comput., 2023)

Ensuring Fairness in Federated Learning Services: Innovative Approaches to Client Selection, Scheduling, and Rewards. - Meiying Zhang; Huan Zhao; Sheldon C. Ebron Jr.; Ruitao Xie; Kan Yang 001 (ICDCS, 2024)

Accurate Explanation Model for Image Classifiers using Class Association Embedding. - Ruitao Xie; Jingbang Chen; Limai Jiang; Rui Xiao; Yi Pan; Yunpeng Cai (ICDE, 2024)

A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation. - Ruitao Xie; Limai Jiang; Xiaoxi He; Yi Pan; Yunpeng Cai (ICME, 2024)

Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder. - Ruimin Ma; Ruitao Xie; Yanlin Wang 003; Jintao Meng 001; Yanjie Wei; Yunpeng Cai; Wenhui Xi; Yi Pan 001 (Big Data Min. Anal., 2024)

Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approach. - Xincao Xu; Kai Liu 001; Penglin Dai; Ruitao Xie; Jingjing Cao; Jiangtao Luo (IEEE Trans. Intell. Transp. Syst., 2024)

Empowering Heterogeneous Wireless Networks through Efficient Signal Identification. - Junmei Yao; Jiongkun Su; Ruitao Xie; Kaishun Wu; Victor C. M. Leung (IEEE Wirel. Commun., 2024)

Enabling Cross-Technology Coexistence for ZigBee Devices Through Payload Encoding. - Junmei Yao; Haolang Huang; Jiongkun Su; Ruitao Xie; Xiaolong Zheng 002; Kaishun Wu (IEEE Trans. Mob. Comput., 2024)

Accurate and Interpretable Wound Healing Progress Detection Based on a Task-Related Knowledge Refinement Learning Method. - Juan He; Xiaoyan Wang; Yi Pan 001; Zhengshan Wang; Bokai Yang; Zhiming Zhang; Tzu-Ming Liu; Yunpeng Cai; Long Chen 001; Ruitao Xie (ISBRA (2), 2025)

Interpretable deep learning method to predict wound healing progress based on collagen fibers in wound tissue. - Juan He; Xiaoyan Wang; Zhengshan Wang; Ruitao Xie; Zhiming Zhang; Tzu-Ming Liu; Yunpeng Cai; Long Chen 001 (Comput. Biol. Medicine, 2025)

Weakly supervised lesion localization and attribution for OCT images with a guided counterfactual explainer model. - Limai Jiang; Ruitao Xie; Bokai Yang; Juan He; Huazhen Huang; Yi Pan 001; Yunpeng Cai (Expert Syst. Appl., 2025)