Ji Wang

83 papers A* 7A 4B 5Journal 57Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic demand-aware UAV scheduling for IoT data collection using deep reinforcement learning approach.
Future Gener. Comput. Syst.
Xiaoqing Li, Weidong Bao, Hui Yan, Qingbao Liu, Zhenxing Xu, Ji Wang, Xiaomin Zhu
2026 J jnl
Few-shot harmful meme detection via self-adaption mixture-of-experts.
Inf. Fusion
Zou Li, Jinzhi Liao, Jiting Li, Ji Wang, Xiang Zhao
2026 J jnl
Fly0: Decoupling Semantic Grounding from Geometric Planning for Zero-Shot Aerial Navigation.
CoRR
Zhenxing Xu, Brikit Lu, Weidong Bao, Zhengqiu Zhu, Junsong Zhang, Hui Yan, Wenhao Lu, Ji Wang
2026 A* conf
PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models.
AAAI
Wenzheng Jiang, Ke Liang, Xuankun Rong, Jingxuan Zhou, Zhengyi Zhong, Guancheng Wan, Ji Wang
2026 J jnl
Rethink Efficiency Side of Neural Combinatorial Solver: An Offline and Self-Play Paradigm.
CoRR
Zhenxing Xu, Zeyuan Ma, Weidong Bao, Hui Yan, Yan Zheng, Ji Wang
2026 A* conf
Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding.
WWW
Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang
2025 J jnl
All on board: Efficient reinforcement learning with milestone aggregation in asynchronous distributed training for RTS games.
Neurocomputing
Dayu Zhang, Weidong Bao, Ji Wang, Xiongtao Zhang, Jingxuan Zhou, Yaohong Zhang
2025 J jnl
AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms.
CoRR
Zhenxing Xu, Yizhe Zhang, Weidong Bao, Hao Wang, Ming Chen, Haoran Ye, Wenzheng Jiang, Hui Yan, Ji Wang
2025 J jnl
Byzantine-robust federated reinforcement learning via critical parameter analysis.
Int. J. Mach. Learn. Cybern.
Wenzheng Jiang, Ji Wang, Weidong Bao, Yaohong Zhang
2025 J jnl
CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices.
CoRR
Jingxuan Zhou, Weidong Bao, Ji Wang, Zhengyi Zhong
2025 — conf
CUT: Pruning Pre-trained Multi-task Models into Compact Models for Edge Devices.
ICIC (17)
Jingxuan Zhou, Weidong Bao, Ji Wang, Zhengyi Zhong
2025 B conf
Efficient Multi-Task Modeling through Automated Fusion of Trained Models.
SMC
Jingxuan Zhou, Weidong Bao, Ji Wang, Dayu Zhang, Zhengyi Zhong
2025 J jnl
Efficient Multi-Task Modeling through Automated Fusion of Trained Models.
CoRR
Jingxuan Zhou, Weidong Bao, Ji Wang, Zhengyi Zhong, Dayu Zhang
2025 J jnl
Enhancing long-term memory in federated class continual learning with lightweight adapters.
Neurocomputing
Pan Wang, Ji Wang, Zhengyi Zhong, Weidong Bao, Yaohong Zhang, Jianguo Chen
2025 A conf
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation.
AAMAS
Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan
2025 J jnl
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation.
CoRR
Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan
2025 J jnl
Gains: Fine-grained Federated Domain Adaptation in Open Set.
CoRR
Zhengyi Zhong, Wenzheng Jiang, Weidong Bao, Ji Wang, Qi Wang, Guanbo Wang, Yongheng Deng, Ju Ren
2025 J jnl
Improving Generalization and Personalization in Model-Heterogeneous Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiongtao Zhang, Ji Wang, Weidong Bao, Yaohong Zhang, Xiaomin Zhu, Hao Peng, Xiang Zhao
2025 J jnl
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks.
CoRR
Jingxuan Zhou, Weidong Bao, Ji Wang, Dayu Zhang, Xiongtao Zhang, Yaohong Zhang
2025 J jnl
Multi-task federated learning with encoder-decoder structure: enabling collaborative learning across different tasks.
Int. J. Mach. Learn. Cybern.
Jingxuan Zhou, Weidong Bao, Ji Wang, Dayu Zhang, Xiongtao Zhang, Yaohong Zhang
2025 B conf
Revisiting the Byzantine Resilience of Federated Reinforcement Learning: A Distillation Perspective.
TrustCom
Wenzheng Jiang, Ji Wang, Zhengyi Zhong, Jiangzhou Liao, Xiaomin Zhu, Flint Xiaofeng Fan
2025 J jnl
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices.
CoRR
Zhengyi Zhong, Weidong Bao, Ji Wang, Jianguo Chen, Lingjuan Lyu, Wei Yang Bryan Lim
2025 J jnl
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices.
IEEE Trans. Neural Networks Learn. Syst.
Zhengyi Zhong, Weidong Bao, Ji Wang, Jianguo Chen, Lingjuan Lyu, Wei Yang Bryan Lim
2025 A* conf
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter.
CVPR
Zhengyi Zhong, Weidong Bao, Ji Wang, Shuai Zhang, Jingxuan Zhou, Lingjuan Lyu, Wei Yang Bryan Lim
2025 J jnl
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter.
CoRR
Zhengyi Zhong, Weidong Bao, Ji Wang, Shuai Zhang, Jingxuan Zhou, Lingjuan Lyu, Wei Yang Bryan Lim
2025 A conf
Yes is Harder than No: A Behavioral Study of Framing Effects in Large Language Models Across Downstream Tasks.
CIKM
Ziheng Zhang, Weixin Zeng, Jiuyang Tang, Ji Wang, Xiang Zhao
2024 J jnl
A Hybrid Heuristic-Exact Optimization for Large-Scale Home Health Care Problem.
IEEE Trans. Comput. Biol. Bioinform.
Xiaomin Zhu, Mingyin Zou, DaQian Liu, Ji Wang, Jun Tang, Weidong Bao
2024 J jnl
Fault-Tolerant Scheduling of Heterogeneous UAVs for Data Collection of IoT Applications.
IEEE Internet Things J.
Hui Yan, Weidong Bao, Xiaoqing Li, Xiaomin Zhu, Yaohong Zhang, Ji Wang, Ling Liu
2024 — conf
Hypernetwork-Based Multi-Objective Optimization with NSGA-II.
GECCO Companion
Jie He, Yaohong Zhang, Ji Wang, Xiaoqing Li, Weidong Bao
2024 J jnl
Self-adaptive asynchronous federated optimizer with adversarial sharpness-aware minimization.
Future Gener. Comput. Syst.
Xiongtao Zhang, Ji Wang, Weidong Bao, Wenhua Xiao, Yaohong Zhang, Lihua Liu
2024 J jnl
Structural graph federated learning: Exploiting high-dimensional information of statistical heterogeneity.
Knowl. Based Syst.
Xiongtao Zhang, Ji Wang, Weidong Bao, Hao Peng, Yaohong Zhang, Xiaomin Zhu
2023 J jnl
Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng.
Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
2023 J jnl
Data Offloading Enabled by Heterogeneous UAVs for IoT Applications Under Uncertain Environments.
IEEE Internet Things J.
Hui Yan, Weidong Bao, Xiaomin Zhu, Ji Wang, Ling Liu
2023 J jnl
Dyna-PPO reinforcement learning with Gaussian process for the continuous action decision-making in autonomous driving.
Appl. Intell.
Guanlin Wu, Wenqi Fang, Ji Wang, Pin Ge, Jiang Cao, Yang Ping, Peng Gou
2023 J jnl
Fairness-aware data offloading of IoT applications enabled by heterogeneous UAVs.
Internet Things
Hui Yan, Weidong Bao, Xiaomin Zhu, Ji Wang, Guanlin Wu, Jiang Cao
2023 J jnl
PRETTY: A parallel transgenerational learning-assisted evolutionary algorithm for computationally expensive multi-objective optimization.
Inf. Sci.
Mingyin Zou, Xiaomin Zhu, Ye Tian, Ji Wang, Huangke Chen
2023 A* conf
Personalized Federated Relation Classification over Heterogeneous Texts.
SIGIR
Ning Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao
2023 J jnl
Semi-HFL: semi-supervised federated learning for heterogeneous devices.
Complex Intell. Syst.
Zhengyi Zhong, Ji Wang, Weidong Bao, Jingxuan Zhou, Xiaomin Zhu, Xiongtao Zhang
2023 J jnl
Towards efficient long-horizon decision-making using automated structure search method of hierarchical reinforcement learning for edge artificial intelligence.
Internet Things
Guanlin Wu, Weidong Bao, Jiang Cao, Xiaomin Zhu, Ji Wang, Wenhua Xiao, Wenqian Liang
2023 J jnl
UNION: Fault-tolerant Cooperative Computing in Opportunistic Mobile Edge Cloud.
ACM Trans. Internet Techn.
Wenhua Xiao, Xudong Fang, Bixin Liu, Ji Wang, Xiaomin Zhu
2023 J jnl
YISHAN: Managing Large-scale Cloud Database Instances via Machine Learning.
IEEE Trans. Serv. Comput.
Wenhua Xiao, Cheng Yang, Ji Wang, Xiaomin Zhu, Weidong Bao, Xiaojie Feng, Yu Xie, Wei Cao, Feng Yu, Ling Liu
2022 J jnl
Continuous self-adaptive optimization to learn multi-task multi-agent.
Complex Intell. Syst.
Wenqian Liang, Ji Wang, Weidong Bao, Xiaomin Zhu, Qingyong Wang, Beibei Han
2022 J jnl
DANCE: Distributed Generative Adversarial Networks with Communication Compression.
ACM Trans. Internet Techn.
Xiongtao Zhang, Xiaomin Zhu, Ji Wang, Weidong Bao, Laurence T. Yang
2022 J jnl
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device.
ACM Trans. Intell. Syst. Technol.
Zhengyi Zhong, Weidong Bao, Ji Wang, Xiaomin Zhu, Xiongtao Zhang
2022 J jnl
Qauxi: Cooperative multi-agent reinforcement learning with knowledge transferred from auxiliary task.
Neurocomputing
Wenqian Liang, Ji Wang, Weidong Bao, Xiaomin Zhu, Guanlin Wu, Dayu Zhang, Liyuan Niu
2022 J jnl
Torch: Strategy evolution in swarm robots using heterogeneous-homogeneous coevolution method.
J. Ind. Inf. Integr.
Meng Wu, Xiaomin Zhu, Li Ma, Ji Wang, Weidong Bao, Wenji Li, Zhun Fan
2021 J jnl
ADAPT: Adaptive distributed optimization approach for uploading data with redundancy in cooperative mobile cloud.
Concurr. Comput. Pract. Exp.
Ji Wang, Weidong Bao, Xiaomin Zhu
2021 — conf
Adaptive Task Distribution Approach Using Threshold Behavior Tree for Robotic Swarm.
ICSI (2)
Li Ma, Weidong Bao, Xiaomin Zhu, Meng Wu, Yutong Yuan, Ji Wang, Hao Chen
2021 J jnl
Distributed Learning on Mobile Devices: A New Approach to Data Mining in the Internet of Things.
IEEE Internet Things J.
Xiongtao Zhang, Xiaomin Zhu, Weidong Bao, Laurence T. Yang, Ji Wang, Hui Yan, Huangke Chen
2021 J jnl
EASE: Energy-efficient task scheduling for edge computing under uncertain runtime and unstable communication conditions.
Concurr. Comput. Pract. Exp.
Hui Yan, Ya Li, Xiaomin Zhu, Dayu Zhang, Ji Wang, Huangke Chen, Weidong Bao
2021 — conf
Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning.
ACL/IJCNLP (Findings)
Guanlin Wu, Wenqi Fang, Ji Wang, Jiang Cao, Weidong Bao, Yang Ping, Xiaomin Zhu, Zheng Wang
2021 J jnl
Knowledge graph embedding by relational and entity rotation.
Knowl. Based Syst.
Xuqian Huang, Jiuyang Tang, Zhen Tan, Weixin Zeng, Ji Wang, Xiang Zhao
2021 J jnl
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning.
IEEE Trans. Mob. Comput.
Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex D. Leow, Stephen Checkoway
2020 B conf
Benign: An Automatic Optimization Framework for the Logic of Swarm Behaviors.
SMC
Jingjing Tao, Xiaomin Zhu, Li Ma, Meng Wu, Weidong Bao, Ji Wang
2020 J jnl
Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks.
Inf. Sci.
Xiongtao Zhang, Xiaomin Zhu, Ji Wang, Hui Yan, Huangke Chen, Weidong Bao
2020 J jnl
NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm.
Complex.
Chao Chen, Weidong Bao, Tong Men, Xiaomin Zhu, Ji Wang, Rui Wang
2019 J jnl
An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems.
ACM Trans. Storage
Ji Wang, Weidong Bao, Lei Zheng, Xiaomin Zhu, Philip S. Yu
2019 — conf
Cooperation-Based Gene Regulatory Network for Target Entrapment.
ICSI (1)
Meng Wu, Yun Zhou, Xiaomin Zhu, Li Ma, Yutong Yuan, Taosheng Fang, Ji Wang, Weidong Bao, Zhun Fan
2019 A* conf
Private Model Compression via Knowledge Distillation.
AAAI
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 — conf
A Parallel Fast Fourier Transform Algorithm for Large-Scale Signal Data Using Apache Spark in Cloud.
ICA3PP (3)
Cheng Yang, Weidong Bao, Xiaomin Zhu, Ji Wang, Wenhua Xiao
2018 J jnl
Adversarial Attack and Defense on Graph Data: A Survey.
CoRR
Lichao Sun, Ji Wang, Philip S. Yu, Bo Li
2018 J jnl
Deep Learning Towards Mobile Applications.
CoRR
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
2018 A conf
Deep Learning towards Mobile Applications.
ICDCS
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
2018 A* conf
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction.
ICDM
Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu
2018 J jnl
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction.
CoRR
Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu
2018 A* conf
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud.
KDD
Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 J jnl
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud.
CoRR
Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 J jnl
Private Model Compression via Knowledge Distillation.
CoRR
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 J jnl
SP-Partitioner: A novel partition method to handle intermediate data skew in spark streaming.
Future Gener. Comput. Syst.
Guipeng Liu, Xiaomin Zhu, Ji Wang, Deke Guo, Weidong Bao, Hui Guo
2017 A conf
A Lightweight Recommendation Framework for Mobile User's Link Selection in Dense Network.
ICDCS
Ji Wang, Xiaomin Zhu, Weidong Bao, Guanlin Wu
2017 — conf
MECCAS: Collaborative Storage Algorithm Based on Alternating Direction Method of Multipliers on Mobile Edge Cloud.
EDGE
Guanlin Wu, Junjie Chen, Weidong Bao, Xiaomin Zhu, Wenhua Xiao, Ji Wang, Ling Liu
2017 J jnl
Optimal Dynamic Reserved Bandwidth Allocation for Cloud-Integrated Cyber-Physical Systems.
IEEE Access
Guanlin Wu, Weidong Bao, Xiaomin Zhu, Wenhua Xiao, Ji Wang
2017 J jnl
Towards collaborative storage scheduling using alternating direction method of multipliers for mobile edge cloud.
J. Syst. Softw.
Guanlin Wu, Junjie Chen, Weidong Bao, Xiaomin Zhu, Wenhua Xiao, Ji Wang
2016 B conf
A Utility-Aware Approach to Redundant Data Upload in Cooperative Mobile Cloud.
CLOUD
Ji Wang, Xiaomin Zhu, Weidong Bao, Ling Liu
2016 J jnl
An online profit optimisation framework for diverse requests in distributed datacentres.
Trans. Emerg. Telecommun. Technol.
Ji Wang, Weidong Bao
2016 J jnl
Fault-Tolerant Scheduling for Real-Time Scientific Workflows with Elastic Resource Provisioning in Virtualized Clouds.
IEEE Trans. Parallel Distributed Syst.
Xiaomin Zhu, Ji Wang, Hui Guo, Dakai Zhu, Laurence T. Yang, Ling Liu
2016 — conf
Integrating Relationships and Attributes: A Model of Multilayer Networks.
DSC
Wen Zhou, Weidong Bao, Xiaomin Zhu, Ji Wang, Chao Chen
2016 — ch.
Maximize Profit for Big Data Processing in Distributed Datacenters.
Resource Management for Big Data Platforms
Weidong Bao, Ji Wang, Xiaomin Zhu
2015 J jnl
FESTAL: Fault-Tolerant Elastic Scheduling Algorithm for Real-Time Tasks in Virtualized Clouds.
IEEE Trans. Computers
Ji Wang, Weidong Bao, Xiaomin Zhu, Laurence T. Yang, Yang Xiang
2015 J jnl
Fault-Tolerant Scheduling for Real-Time Tasks on Multiple Earth-Observation Satellites.
IEEE Trans. Parallel Distributed Syst.
Xiaomin Zhu, Jianjiang Wang, Xiao Qin, Ji Wang, Zhong Liu, Erik Demeulemeester
2014 B conf
Analysis and Design of Fault-Tolerant Scheduling for Real-Time Tasks on Earth-Observation Satellites.
ICPP
Xiaomin Zhu, Jianjiang Wang, Ji Wang, Xiao Qin
2014 J jnl
Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds.
IEEE Trans. Cloud Comput.
Xiaomin Zhu, Laurence T. Yang, Huangke Chen, Ji Wang, Shu Yin, Xiaocheng Liu
2013 — conf
Real-Time Fault-Tolerant Scheduling Based on Primary-Backup Approach in Virtualized Clouds.
HPCC/EUC
Ji Wang, Xiaomin Zhu, Weidong Bao