Real-Time Fault-Tolerant Scheduling Based on Primary-Backup Approach in Virtualized Clouds. - Ji Wang 002; Xiaomin Zhu 001; Weidong Bao 001 (HPCC/EUC, 2013)

Analysis and Design of Fault-Tolerant Scheduling for Real-Time Tasks on Earth-Observation Satellites. - Xiaomin Zhu 001; Jianjiang Wang; Ji Wang 002; Xiao Qin 001 (ICPP, 2014)

Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds. - Xiaomin Zhu 001; Laurence T. Yang; Huangke Chen; Ji Wang 002; Shu Yin 001; Xiaocheng Liu (IEEE Trans. Cloud Comput., 2014)

FESTAL: Fault-Tolerant Elastic Scheduling Algorithm for Real-Time Tasks in Virtualized Clouds. - Ji Wang 002; Weidong Bao 001; Xiaomin Zhu 001; Laurence T. Yang; Yang Xiang 001 (IEEE Trans. Computers, 2015)

Fault-Tolerant Scheduling for Real-Time Tasks on Multiple Earth-Observation Satellites. - Xiaomin Zhu 001; Jianjiang Wang; Xiao Qin 001; Ji Wang 002; Zhong Liu 002; Erik Demeulemeester (IEEE Trans. Parallel Distributed Syst., 2015)

A Utility-Aware Approach to Redundant Data Upload in Cooperative Mobile Cloud. - Ji Wang 002; Xiaomin Zhu 001; Weidong Bao 001; Ling Liu 001 (CLOUD, 2016)

Integrating Relationships and Attributes: A Model of Multilayer Networks. - Wen Zhou; Weidong Bao 001; Xiaomin Zhu 001; Ji Wang 002; Chao Chen 027 (DSC, 2016)

An online profit optimisation framework for diverse requests in distributed datacentres. - Ji Wang 002; Weidong Bao 001 (Trans. Emerg. Telecommun. Technol., 2016)

Fault-Tolerant Scheduling for Real-Time Scientific Workflows with Elastic Resource Provisioning in Virtualized Clouds. - Xiaomin Zhu 001; Ji Wang 002; Hui Guo 001; Dakai Zhu 001; Laurence T. Yang; Ling Liu 001 (IEEE Trans. Parallel Distributed Syst., 2016)

Maximize Profit for Big Data Processing in Distributed Datacenters. - Weidong Bao 001; Ji Wang 002; Xiaomin Zhu 001 (Resource Management for Big Data Platforms, 2016)

MECCAS: Collaborative Storage Algorithm Based on Alternating Direction Method of Multipliers on Mobile Edge Cloud. - Guanlin Wu; Junjie Chen 007; Weidong Bao 001; Xiaomin Zhu 001; Wenhua Xiao; Ji Wang 002; Ling Liu 001 (EDGE, 2017)

A Lightweight Recommendation Framework for Mobile User's Link Selection in Dense Network. - Ji Wang 002; Xiaomin Zhu 001; Weidong Bao 001; Guanlin Wu (ICDCS, 2017)

Optimal Dynamic Reserved Bandwidth Allocation for Cloud-Integrated Cyber-Physical Systems. - Guanlin Wu; Weidong Bao 001; Xiaomin Zhu 001; Wenhua Xiao; Ji Wang 002 (IEEE Access, 2017)

Towards collaborative storage scheduling using alternating direction method of multipliers for mobile edge cloud. - Guanlin Wu; Junjie Chen 007; Weidong Bao 001; Xiaomin Zhu 001; Wenhua Xiao; Ji Wang 002 (J. Syst. Softw., 2017)

A Parallel Fast Fourier Transform Algorithm for Large-Scale Signal Data Using Apache Spark in Cloud. - Cheng Yang; Weidong Bao 001; Xiaomin Zhu 001; Ji Wang 002; Wenhua Xiao (ICA3PP (3), 2018)

Deep Learning towards Mobile Applications. - Ji Wang 002; Bokai Cao; Philip S. Yu; Lichao Sun 001; Weidong Bao 001; Xiaomin Zhu 001 (ICDCS, 2018)

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. - Jianguo Zhang 005; Ji Wang 002; Lifang He 001; Zhao Li 007; Philip S. Yu (ICDM, 2018)

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. - Ji Wang 002; Jianguo Zhang 005; Weidong Bao 001; Xiaomin Zhu 001; Bokai Cao; Philip S. Yu (KDD, 2018)

Adversarial Attack and Defense on Graph Data: A Survey. - Lichao Sun 001; Ji Wang 002; Philip S. Yu; Bo Li 026 (CoRR, 2018)

SP-Partitioner: A novel partition method to handle intermediate data skew in spark streaming. - Guipeng Liu; Xiaomin Zhu 001; Ji Wang 002; Deke Guo; Weidong Bao 001; Hui Guo 001 (Future Gener. Comput. Syst., 2018)

Private Model Compression via Knowledge Distillation. - Ji Wang 002; Weidong Bao 001; Lichao Sun 001; Xiaomin Zhu 001; Bokai Cao; Philip S. Yu (AAAI, 2019)

Cooperation-Based Gene Regulatory Network for Target Entrapment. - Meng Wu; Yun Zhou; Xiaomin Zhu 001; Li Ma; Yutong Yuan; Taosheng Fang; Ji Wang 002; Weidong Bao 001; Zhun Fan (ICSI (1), 2019)

An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems. - Ji Wang 002; Weidong Bao 001; Lei Zheng 001; Xiaomin Zhu 001; Philip S. Yu (ACM Trans. Storage, 2019)

Benign: An Automatic Optimization Framework for the Logic of Swarm Behaviors. - Jingjing Tao; Xiaomin Zhu 001; Li Ma; Meng Wu; Weidong Bao 001; Ji Wang 002 (SMC, 2020)

NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm. - Chao Chen 027; Weidong Bao 001; Tong Men; Xiaomin Zhu 001; Ji Wang 002; Rui Wang 017 (Complex., 2020)

Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks. - Xiongtao Zhang; Xiaomin Zhu 001; Ji Wang 002; Hui Yan; Huangke Chen; Weidong Bao 001 (Inf. Sci., 2020)

Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning. - Guanlin Wu; Wenqi Fang; Ji Wang 002; Jiang Cao; Weidong Bao 001; Yang Ping; Xiaomin Zhu 001; Zheng Wang (ACL/IJCNLP (Findings), 2021)

Adaptive Task Distribution Approach Using Threshold Behavior Tree for Robotic Swarm. - Li Ma; Weidong Bao 001; Xiaomin Zhu 001; Meng Wu; Yutong Yuan; Ji Wang 002; Hao Chen (ICSI (2), 2021)

ADAPT: Adaptive distributed optimization approach for uploading data with redundancy in cooperative mobile cloud. - Ji Wang 002; Weidong Bao 001; Xiaomin Zhu 001 (Concurr. Comput. Pract. Exp., 2021)

EASE: Energy-efficient task scheduling for edge computing under uncertain runtime and unstable communication conditions. - Hui Yan; Ya Li; Xiaomin Zhu 001; Dayu Zhang; Ji Wang 002; Huangke Chen; Weidong Bao 001 (Concurr. Comput. Pract. Exp., 2021)

Distributed Learning on Mobile Devices: A New Approach to Data Mining in the Internet of Things. - Xiongtao Zhang; Xiaomin Zhu 001; Weidong Bao 001; Laurence T. Yang; Ji Wang 002; Hui Yan; Huangke Chen (IEEE Internet Things J., 2021)

Knowledge graph embedding by relational and entity rotation. - Xuqian Huang; Jiuyang Tang; Zhen Tan; Weixin Zeng; Ji Wang 002; Xiang Zhao 002 (Knowl. Based Syst., 2021)

Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning. - Lichao Sun 001; Bokai Cao; Ji Wang 002; Witawas Srisa-an; Philip S. Yu; Alex D. Leow; Stephen Checkoway (IEEE Trans. Mob. Comput., 2021)

Qauxi: Cooperative multi-agent reinforcement learning with knowledge transferred from auxiliary task. - Wenqian Liang; Ji Wang 002; Weidong Bao 001; Xiaomin Zhu 001; Guanlin Wu; Dayu Zhang; Liyuan Niu (Neurocomputing, 2022)

Torch: Strategy evolution in swarm robots using heterogeneous-homogeneous coevolution method. - Meng Wu; Xiaomin Zhu 001; Li Ma; Ji Wang 002; Weidong Bao 001; Wenji Li; Zhun Fan (J. Ind. Inf. Integr., 2022)

FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device. - Zhengyi Zhong; Weidong Bao 001; Ji Wang 002; Xiaomin Zhu 001; Xiongtao Zhang (ACM Trans. Intell. Syst. Technol., 2022)

DANCE: Distributed Generative Adversarial Networks with Communication Compression. - Xiongtao Zhang; Xiaomin Zhu 001; Ji Wang 002; Weidong Bao 001; Laurence T. Yang (ACM Trans. Internet Techn., 2022)

Personalized Federated Relation Classification over Heterogeneous Texts. - Ning Pang; Xiang Zhao 002; Weixin Zeng; Ji Wang 002; Weidong Xiao (SIGIR, 2023)

YISHAN: Managing Large-scale Cloud Database Instances via Machine Learning. - Wenhua Xiao; Cheng Yang; Ji Wang 002; Xiaomin Zhu 001; Weidong Bao 001; Xiaojie Feng; Yu Xie; Wei Cao 006; Feng Yu 022; Ling Liu 001 (IEEE Trans. Serv. Comput., 2023)

Data Offloading Enabled by Heterogeneous UAVs for IoT Applications Under Uncertain Environments. - Hui Yan; Weidong Bao 001; Xiaomin Zhu 001; Ji Wang 002; Ling Liu 001 (IEEE Internet Things J., 2023)

PRETTY: A parallel transgenerational learning-assisted evolutionary algorithm for computationally expensive multi-objective optimization. - Mingyin Zou; Xiaomin Zhu 001; Ye Tian 009; Ji Wang 002; Huangke Chen (Inf. Sci., 2023)

Dyna-PPO reinforcement learning with Gaussian process for the continuous action decision-making in autonomous driving. - Guanlin Wu; Wenqi Fang; Ji Wang 002; Pin Ge; Jiang Cao; Yang Ping; Peng Gou (Appl. Intell., 2023)

Fairness-aware data offloading of IoT applications enabled by heterogeneous UAVs. - Hui Yan; Weidong Bao 001; Xiaomin Zhu 001; Ji Wang 002; Guanlin Wu; Jiang Cao (Internet Things, 2023)

Adversarial Attack and Defense on Graph Data: A Survey. - Lichao Sun 001; Yingtong Dou; Carl Yang 001; Kai Zhang 039; Ji Wang 002; Philip S. Yu; Lifang He 001; Bo Li 026 (IEEE Trans. Knowl. Data Eng., 2023)

UNION: Fault-tolerant Cooperative Computing in Opportunistic Mobile Edge Cloud. - Wenhua Xiao; Xudong Fang; Bixin Liu; Ji Wang 002; Xiaomin Zhu 001 (ACM Trans. Internet Techn., 2023)

Towards efficient long-horizon decision-making using automated structure search method of hierarchical reinforcement learning for edge artificial intelligence. - Guanlin Wu; Weidong Bao 001; Jiang Cao; Xiaomin Zhu 001; Ji Wang 002; Wenhua Xiao; Wenqian Liang (Internet Things, 2023)

Hypernetwork-Based Multi-Objective Optimization with NSGA-II. - Jie He; Yaohong Zhang; Ji Wang 002; Xiaoqing Li 006; Weidong Bao 001 (GECCO Companion, 2024)

Self-adaptive asynchronous federated optimizer with adversarial sharpness-aware minimization. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Wenhua Xiao; Yaohong Zhang; Lihua Liu 002 (Future Gener. Comput. Syst., 2024)

Fault-Tolerant Scheduling of Heterogeneous UAVs for Data Collection of IoT Applications. - Hui Yan; Weidong Bao 001; Xiaoqing Li 006; Xiaomin Zhu 001; Yaohong Zhang; Ji Wang 002; Ling Liu 001 (IEEE Internet Things J., 2024)

Structural graph federated learning: Exploiting high-dimensional information of statistical heterogeneity. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Hao Peng 001; Yaohong Zhang; Xiaomin Zhu 001 (Knowl. Based Syst., 2024)

Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter. - Zhengyi Zhong; Weidong Bao 001; Ji Wang 002; Shuai Zhang 004; Jingxuan Zhou; Lingjuan Lyu; Wei Yang Bryan Lim (CVPR, 2025)

CUT: Pruning Pre-trained Multi-task Models into Compact Models for Edge Devices. - Jingxuan Zhou; Weidong Bao 001; Ji Wang 002; Zhengyi Zhong (ICIC (17), 2025)

FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation. - Wenzheng Jiang; Ji Wang 002; Xiongtao Zhang; Weidong Bao 001; Cheston Tan; Flint Xiaofeng Fan (AAMAS, 2025)

All on board: Efficient reinforcement learning with milestone aggregation in asynchronous distributed training for RTS games. - Dayu Zhang; Weidong Bao 001; Ji Wang 002; Xiongtao Zhang; Jingxuan Zhou; Yaohong Zhang (Neurocomputing, 2025)

Improving Generalization and Personalization in Model-Heterogeneous Federated Learning. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Yaohong Zhang; Xiaomin Zhu 001; Hao Peng 001; Xiang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks. - Jingxuan Zhou; Weidong Bao 001; Ji Wang 002; Dayu Zhang; Xiongtao Zhang; Yaohong Zhang (CoRR, 2025)

Efficient Multi-Task Modeling through Automated Fusion of Trained Models. - Jingxuan Zhou; Weidong Bao 001; Ji Wang 002; Zhengyi Zhong; Dayu Zhang (CoRR, 2025)

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices. - Zhengyi Zhong; Weidong Bao 001; Ji Wang 002; Jianguo Chen; Lingjuan Lyu; Wei Yang Bryan Lim (CoRR, 2025)