Submissions from 2023
Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations, Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, and Shangsong Liang
S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion, Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, and Zejun Ma
Controllable Music Inpainting with Mixed-Level and Disentangled Representation, Shiqi Wei, Ziyu Wang, Weiguo Gao, and Gus Xia
A Universal Unbiased Method for Classification from Aggregate Observations, Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, and Heng Tao Shen
Retrospective on the SENSORIUM 2022 competition, Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, and Olivier Marre
Adaptive Compositional Continual Meta-Learning, Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, and Qiang Zhang
Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search, Bin Wu, Zaiqiao Meng, and Shangsong Liang
Self-Adaptive Perturbation Radii for Adversarial Training, Huimin Wu, Wanli Shi, Chenkang Zhang, and Bin Gu
Efficient Semi-Supervised Adversarial Training without Guessing Labels, Huimin Wu, William Vazelhes, and Bin Gu
Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions, Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, and Kun Zhang
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model, Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, and Kun Zhang
VLC-Assisted Safety Message Dissemination in Roadside Infrastructure-Less IoV Systems: Modeling and Analysis, Yuncong Xie, Dongyang Xu, Tiantian Zhang, Keping Yu, Amir Hussain, and Mohsen Guizani
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions, Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, and Dacheng Tao
Post-Quantum Authentication Against Cyber-Physical Attacks in V2X-Based Autonomous Vehicle Platoon, Dongyang Xu, Keping Yu, Lei Liu, Guolong Chen, Neeraj Kumar, Mohsen Guizani, and James A. Ritcey
Quantum Learning on Structured Code with Computing Traps for Secure URLLC in Industrial IoT Scenarios, Dongyang Xu, Keping Yu, Li Zhen, Kim Kwang Raymond Choo, and Mohsen Guizani
A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools, Hansong Xu, Jun Wu, Qianqian Pan, Xinping Guan, and Mohsen Guizani
On the Accelerated Noise-Tolerant Power Method, Zhiqiang Xu
On minimizing flow monitoring costs in large-scale software-defined network networks, Haythem Yahyaoui, Mohamed Faten Zhani, Ouns Bouachir, and Moayad Aloqaily
Edge-Assisted Hierarchical Batch Authentication Scheme for VANETs, Chengzhi Yan, Chen Wang, Jian Shen, Kapal Dev, Mohsen Guizani, and Weizheng Wang
SMART Intent-Driven Network Management, Chungang Yang, Xinru Mi, Ying Ouyang, Ru Dong, Junjie Guo, and Mohsen Guizani
SecureSL: A Privacy-preserving Vertical Cooperative Learning Scheme for Web 3.0, Wenti Yang, Xiaodong Wang, Zhitao Guan, Longfei Wu, Xiaojiang Du, and Mohsen Guizani
Learning Multi-Attention Context Graph for Group-Based Re-Identification, Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei Shi Zheng, Xiaokang Yang, and Ling Shao
Blockchain-Enabled Intelligent IoT, Haipeng Yao and Mohsen Guizani
Conclusions and Future Challenges, Haipeng Yao and Mohsen Guizani
Intelligent Internet of Things Networking Architecture, Haipeng Yao and Mohsen Guizani
Intelligent IoT Network Awareness, Haipeng Yao and Mohsen Guizani
Intelligent IoT Network Awareness, Haipeng Yao and Mohsen Guizani
Intelligent Resource Scheduling, Haipeng Yao and Mohsen Guizani
Intelligent Traffic Control, Haipeng Yao and Mohsen Guizani
Mobile Edge Computing Enabled Intelligent IoT, Haipeng Yao and Mohsen Guizani
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information, Tianjun Yao, Yingxu Wang, Kun Zhang, and Shangsong Liang
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?, Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, and Tongliang Liu
ILBPS: An Integrated Optimization Approach Based on Adaptive Load-Balancing and Heuristic Path Selection in SDN, Zongyu Ye, Gang Sun, and Mohsen Guizani
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification, Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian Sheng Hua, and Xiao Luo
OMG: Towards Effective Graph Classification Against Label Noise, Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, and Dacheng Tao
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting, Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian Sheng Hua, Siwei Liu, and Xiao Luo
LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection, Yue Yuan, Rundong He, Zhongyi Han, and Yilong Yin
IFSeg: Image-free Semantic Segmentation via Vision-Language Model, Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, and Jinwoo Shin
Discrete-Rate Adaptive Modulation Schemes for Uplink Massive MIMO Systems With Imperfect CSI, Xiangbin Yu, Chenghong Yang, Shu hung Leung, Yun Rui, Xiao yu Dang, Mohsen Guizani, and Jiawei Bai
Multimodal Image Synthesis and Editing: The Generative AI Era, Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, and Eric Xing
Doubly Robust AUC Optimization against Noisy and Adversarial Samples, Chenkang Zhang, Wanli Shi, Lei Luo, and Bin Gu
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming, Hanlin Zhang, Jiani Huang, Ziyang Li, Mayur Naik, and Eric Xing
A New Minimality Condition for Boolean Accounts of Causal Regularities, Jiji Zhang and Kun Zhang
Semi-Asynchronous Model Design for Federated Learning in Mobile Edge Networks, Jinfeng Zhang, Wei Liu, Yejun He, Zhou He, and Mohsen Guizani
Intent-driven Closed-Loop Control and Management Framework for 6G Open RAN, Jingwen Zhang, Chungang Yang, Ru Dong, Yao Wang, Alagan Anpalagan, Qiang Ni, and Mohsen Guizani
Energy Allocation for Vehicle-to-Grid Settings: A Low-Cost Proposal Combining DRL and VNE, Peiying Zhang, Ning Chen, Neeraj Kumar, Laith Abualigah, Mohsen Guizani, Youxiang Duan, Jian Wang, and Sheng Wu
Multi-Target-Aware Dynamic Resource Scheduling for Cloud-Fog-Edge Multi-Tier Computing Network, Peiying Zhang, Ning Chen, Guanjun Xu, Neeraj Kumar, Ahmed Barnawi, Mohsen Guizani, Youxiang Duan, and Keping Yu
Energy-Aware Positioning Service Provisioning for Cloud-Edge-Vehicle Collaborative Network Based on DRL and Service Function Chain, Peiying Zhang, Yi Zhang, Neeraj Kumar, Mohsen Guizani, Ahmed Barnawi, and Wei Zhang
An Efficient Post-Quantum Multi-Signature Scheme for the Internet of Vehicles, Qianyi Zhang, Shuai Yuan, Zhitao Guan, Xiaojiang Du, and Mohsen Guizani
DFLNet: Deep Federated Learning Network With Privacy Preserving for Vehicular LoRa Nodes Fingerprinting, Tiantian Zhang, Dongyang Xu, Pinyi Ren, Keping Yu, and Mohsen Guizani
A High-Throughput Scheduler based on Multipath-State Machine in Wireless Networks, Xiaoya Zhang, Yuyang Zhang, Ping Dong, Xiaojiang Du, Hongke Zhang, and Mohsen Guizani
Outdoor Position Recovery From Heterogeneous Telco Cellular Data, Yige Zhang, Weixiong Rao, Kun Zhang, and Lei Chen
Diversity-Driven Proactive Caching for Mobile Networks, Yin Zhang, Ranran Wang, Yiran Wang, Min Chen, and Mohsen Guizani
A Multi-layer Information Dissemination Model and Interference Optimization Strategy for Communication Networks in Disaster Areas, Yuexia Zhang, Yang Hong, Mohsen Guizani, Sheng Wu, Peiying Zhang, and Ruiqi Liu
MEDIA: An Incremental DNN Based Computation Offloading for Collaborative Cloud-Edge Computing, Liang Zhao, Yingcan Han, Ammar Hawbani, Shaohua Wan, Zhenzhou Guo, and Mohsen Guizani
Adaptive Multi-UAV Trajectory Planning Leveraging Digital Twin Technology for Urban IIoT Applications, Liang Zhao, Shuo Li, Yunchong Guan, Shaohua Wan, Ammar Hawbani, Yuanguo Bi, and Mohsen Guizani
Adaptive Swarm Intelligent Offloading Based on Digital Twin-assisted Prediction in VEC, Liang Zhao, Tianyu Li, Enchao Zhang, Yun Lin, Shaohua Wan, Ammar Hawbani, and Mohsen Guizani
Privacy-Preserving Outsourcing of K-means Clustering for Cloud-Device Collaborative Computing in Space-Air-Ground Integrated IoT, Wei Zhao, Wu Yang, Huanran Wang, Tairong Zhang, Dapeng Man, Tao Liu, Jiguang Lv, and Mohsen Guizani
Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach, Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, and Mohsen Guizani
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector, Peng Zheng, Huazhu Fu, Deng Ping Fan, Qi Fan, Jie Qin, Yu Wing Tai, Chi Keung Tang, and Luc Van Gool
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection, Peng Zheng, Jie Qin, Shuo Wang, Tian Zhu Xiang, and Huan Xiong
Clustering-NN Based CFO Estimation Using Random Access Preambles for 5G Non-Terrestrial Networks, Li Zhen, Luyao Cheng, Zheng Chu, Keping Yu, Pei Xiao, and Mohsen Guizani
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration, Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, and Tongliang Liu
Phase-aware Adversarial Defense for Improving Adversarial Robustness, Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, and Tongliang Liu
Blockchain-Based Secure and Efficient Secret Image Sharing with Outsourcing Computation in Wireless Networks, Zhili Zhou, Yao Wan, Qi Cui, Keping Yu, Shahid Mumtaz, Ching Nung Yang, and Mohsen Guizani
Exploring Model Dynamics for Accumulative Poisoning Discovery, Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, and Bo Han
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability, Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, and Bo Han
Submissions from 2022
Sine Cosine Algorithm for Reducing Communication Costs of Federated Learning, Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani, and Fakhri Karray
Lemurs Optimizer: A New Metaheuristic Algorithm for Global Optimization, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Mohammed A. Awadallah, Zaid Abdi Alkareem Alyasseri, Iyad Abu Doush, Ashraf Elnagar, Eman H. Alkhammash, and Myriam Hadjouni
Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, and Mohsen Guizani
Adaptive Upgrade of Client Resources for Improving the Quality of Federated Learning Model, Sawsan AbdulRahman, Hakima Ould-Slimane, Rasel Chowdhury, Azzam Mourad, Chamseddine Talhi, and Mohsen Guizani
When Federated Learning Meets Game Theory: A Cooperative Framework to secure IIoT Applications on Edge Computing, Zakaria Abou El Houda, Bouziane Brik, Adlen Ksentini, Lyes Khoukhi, and Mohsen Guizani
FLECS: A Federated Learning Second-Order Framework via Compression and Sketching, Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander Gasnikov, and Martin Takac
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks, Arian Ahmadi, Omid Semiari, Mehdi Bennis, and Méroúane Debbah
Time Reversal for 6G Spatiotemporal Focusing: Recent Experiments, Opportunities, and Challenges, George C. Alexandropoulos, Ali Mokh, Ramin Khayatzadeh, Julien de Rosny, Mohamed Kamoun, Abdelwaheb Ourir, Arnaud Tourin, Mathias Fink, and Mérouane Debbah
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces, George C. Alexandropoulos, Kyriakos Stylianopoulos, Chongwen Huang, Chau Yuen, Mehdi Bennis, and Mérouane Debbah
Machine learning-based indoor localization and occupancy estimation using 5G ultra-dense networks, Ala'a Al-Habashna, Gabriel Wainer, and Moayad Aloqaily
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging, Naif Alkhunaizi, Dmitry Kamzolov, Martin Takac, and Karthik Nandakumar
A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks, Tejasvi Alladi, Vinay Chamola, Nishad Sahu, Vishnu Venkatesh, Adit Goyal, and Mohsen Guizani
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks, Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, and Mohsen Guizani
Motivating learners in multiorchestrator mobile edge learning: A stackelberg game approach, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, and Mohsen Guizani
Towards optimal synchronization in NFV-based environments, Zakaria Alomari, Mohamed Faten Zhani, Moayad Aloqaily, and Ouns Bouachir
Special Issue on Internet of Things: Intelligent Networks, Communication and Mobility (AdHocNets 2020), Moayad Aloqaily, Kobbane Abdellatif, and Feng Yan
Towards Blockchain-based Hierarchical Federated Learning for Cyber-Physical Systems, Moayad Aloqaily, Ismaeel Al Ridhawi, Fakhri Karray, and Mohsen Guizani
An adaptive UAV positioning model for sustainable smart transportation, Moayad Aloqaily, Ouns Bouachir, Ismaeel Al Ridhawi, and Anthony Tzes
Digital twin for healthcare immersive services: fundamentals, architectures, and open issues, Moayad Aloqaily, Ouns Bouachir, and Fakhri Karray
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse, Moayad Aloqaily, Ouns Bouachir, Fakhri Karray, Ismaeel Al Ridhawi, and Abdulmotaleb El Saddik
C-HealthIER: A Cooperative Health Intelligent Emergency Response System for C-ITS, Moayad Aloqaily, Haya Elayan, and Mohsen Guizani
On the Role of Futuristic Technologies in Securing UAV-Supported Autonomous Vehicles, Moayad Aloqaily, Rasheed Hussain, Deena Khalaf, Dana Slehat, and Alma Oracevic
Special Issue on Cybersecurity Management in the Era of AI, Moayad Aloqaily, Salil Kanhere, Paolo Bellavista, and Michele Nogueira
Computer Vision-Based Architecture for IoMT Using Deep Learning, Rabiah Al-Qudah, Moayad Aloqaily, and Fakhreddine (Fakhri) Karray
Intelligent Blockchain-Enabled Communication and Services: Solutions for Moving Internet of Things Devices, Ismaeel Al Ridhawi, Moayad Aloqaily, and Fakhreddine (Fakhri) Karray
Blockchain-Empowered Security and Energy Efficiency of Drone Swarm Consensus for Environment Exploration, Saeed Hamood Alsamhi, Alexey V. Shvetsor, Svetlana V. Shvetsova, Ammar Hawbani, Mohsen Guizani, Mohammed A. Alhartomi, and Ou Ma
Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithms for English Text Classification: A Systematic Review, Osamah Mohammed Alyasiri, Yu N. Cheah, Ammar Kamal Abasi, and Omar Mustafa Al-Janabi
Recent advances of bat-inspired algorithm, its versions and applications, Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh, Iyad Abu Doush, Mohammed A. Awadallah, Ammar Kamal Abasi, and Ashraf Elnagar
A Hybrid Artificial Intelligence Model for Detecting Keratoconus, Zaid Abdi Alkareem Alyasseri, Ali H. Al-Timemy, Ammar Kamal Abasi, Alexandru Lavric, Husam Jasim Mohammed, Hidenori Takahashi, Jose Arthur Milhomens Filho, Mauro Campos, Rossen M. Hazarbassanov, and Siamak Yousefi
Towards Smart City Security: Violence and Weaponized Violence Detection using DCNN, Toluwani Aremu, Li Zhiyuan, Reem Alameeri, Moayad Aloqaily, and Mohsen Guizani
A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology and Explainable AI as Future Directions, Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, and Mohsen Guizani
Evaluation of Deep Learning Models in ITS Software-Defined Intrusion Detection Systems, Himanshi Babbar, Ouns Bouachir, Shalli Rani, and Moayad Aloqaily
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems, Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, and Mohsen Guizani