Submissions from 2023
A new large-scale learning algorithm for generalized additive models, Bin Gu, Chenkang Zhang, Zhouyuan Huo, and Heng Huang
CBDTF: A Distributed and Trustworthy Data Trading Framework for Mobile Crowdsensing, Bo Gu, Weiwei Hu, Shimin Gong, Zhou Su, and Mohsen Guizani
A Spatial-Temporal Transformer Network for City-Level Cellular Traffic Analysis and Prediction, Bo Gu, Junhui Zhan, Shimin Gong, Wanquan Liu, Zhou Su, and Mohsen Guizani
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer, Rami Hamdi, Ahmed Ben Said, Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, and Mohsen Guizani
A Multi-Agent Reinforcement Learning Approach for Massive Access in NOMA-URLLC Networks, Huimei Han, Xin Jiang, Weidang Lu, Wenchao Zhai, Ying Li, Neeraj Kumar, and Mohsen Guizani
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models, Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, and Zhiting Hu
A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update, Sherief Hashima, Zubair Md Fadlullah, Mostafa M. Fouda, Kohei Hatano, Eiji Takimoto, and Mohsen Guizani
A Lightweight Authentication and Key Exchange Protocol with Anonymity for IoT, Daojing He, Yanchang Cai, Shanshan Zhu, Ziming Zhao, Sammy Chan, and Mohsen Guizani
Unknown Threats Detection Methods of Smart Contracts, Daojing He, Ke Ding, Sammy Chan, and Mohsen Guizani
A Comprehensive Detection Method for the Lateral Movement Stage of APT Attacks, Daojing He, Hongjie Gu, Shanshan Zhu, Sammy Chan, and Mohsen Guizani
Detection of Vulnerabilities of Blockchain Smart Contracts, Daojing He, Rui Wu, Xinji Li, Sammy Chan, and Mohsen Guizani
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data, Rundong He, Zhongyi Han, Xiankai Lu, and Yilong Yin
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection, Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, and Yilong Yin
Three-Stage Stackelberg Game Enabled Clustered Federated Learning in Heterogeneous UAV Swarms, Wenji He, Haipeng Yao, Tianle Mai, Fu Wang, and Mohsen Guizani
Fairness-Based 3D Multi-UAV Trajectory Optimization in Multi-UAV-Assisted MEC System, Yejun He, Youhui Gan, Haixia Cui, and Mohsen Guizani
Energy Efficiency Maximization of Backscatter-Assisted Wireless-Powered MEC With User Cooperation, Yejun He, Xinying Wu, Zhou He, and Mohsen Guizani
Computation Offloading and Resource Allocation Based on DT-MEC-Assisted Federated Learning Framework, Yejun He, Mengna Yang, Zhou He, and Mohsen Guizani
A DDPG Hybrid of Graph Attention Network and Action Branching for Multi-Scale End-Edge-Cloud Vehicular Orchestrated Task Offloading, Yejun He, Xiaoxu Zhong, Youhui Gan, Haixia Cui, and Mohsen Guizani
Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments, Neveen Hijazi, Moayad Aloqaily, Bassem Ouni, Fakhri Karray, and Merouane Debbah
Secure Federated Learning with Fully Homomorphic Encryption for IoT Communications, Neveen Mohammad Hijazi, Moayad Aloqaily, Mohsen Guizani, Bassem Ouni, and Fakhri Karray
Enhanced multi-objective gorilla troops optimizer for real-time multi-user dependent tasks offloading in edge-cloud computing, Khalid M. Hosny, Ahmed I. Awad, Marwa M. Khashaba, Mostafa M. Fouda, Mohsen Guizani, and Ehab R. Mohamed
Optimized Multi-User Dependent Tasks Offloading in Edge-Cloud Computing Using Refined Whale Optimization Algorithm, Khalid M. Hosny, Ahmed I. Awad, Marwa M. Khashaba, Mostafa M. Fouda, Mohsen Guizani, and Ehab R. Mohamed
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers, Zhou Huang, Hang Dai, Tian Zhu Xiang, Shuo Wang, Huai Xin Chen, Jie Qin, and Huan Xiong
Energy-Harvesting Based Jammer Localization: A Battery-Free Approach in Wireless Sensor Networks, Ahmed Hussain, Pietro Tedeschi, Gabriele Oligeri, Amr Mohamed, and Mohsen Guizani
Leveraging Relational Graph Neural Network for Transductive Model Ensemble, Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, and Shangsong Liang
On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling, Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, and Martin Takac
Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands, Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, and Martin Takac
Multi-task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans, Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, and Martin Takáč
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things, Md Milon Islam, Sheikh Nooruddin, Fakhri Karray, and Ghulam Muhammad
Dynamic and Efficient Spectrum Utilization for 6G With THz, mmWave, and RF Band, Preksha Jain, Akhil Gupta, Neeraj Kumar, and Mohsen Guizani
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates, Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, and Bin Gu
Self-Supervised Hierarchical Metrical Structure Modeling, Junyan Jiang and Gus Xia
Fast Anomaly Detection for IoT Services Based on Multisource Log Fusion, Xingguo Jiang, Hong Luo, Yan Sun, and Mohsen Guizani
Detecting Out-of-distribution Data through In-distribution Class Prior, Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, and Bo Han
Dispatching and Control Information Freshness-Aware Federated Learning for Simplified Power IoT, Zehan Jia, Ziqi Yu, Haijun Liao, Zhao Wang, Zhenyu Zhou, Xiaoyan Wang, Guoqing He, Shahid Mumtaz, and Mohsen Guizani
Convolutional Neural Network Based Classification of WeChat Mini-Apps, Yihao Jin, Xuanyu Liu, Xiao Fu, Bin Luo, Xiaojiang Du, and Mohsen Guizani
NOMA-Assisted Secure Offloading for Vehicular Edge Computing Networks With Asynchronous Deep Reinforcement Learning, Ying Ju, Zhiwei Cao, Yuchao Chen, Lei Liu, Qingqi Pei, Shahid Mumtaz, Mianxiong Dong, and Mohsen Guizani
ScaleFace: Uncertainty-aware Deep Metric Learning, Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, and Maxim Panov
Drone/Bird Classification Based on Features of Tracks Trajectories, Maksat Kengeskanov, Amal El Fallah Seghrouchni, Raed Abu Zitar, and Frederic Barbaresco
RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications, Abbas Khan, Mustaqeem Khan, Wail Gueaieb, Abdulmotaleb ElSaddik, Guilia De Masi, and Fakhri Karray
Socially-Aware Green Distributed Metaverse for Wireless Systems, Latif U. Khan and Mohsen Guizani
Resource Optimized Hierarchical Split Federated Learning for Wireless Networks, Latif U. Khan, Mohsen Guizani, and Choong Seon Hong
Joint Association and Computing Resource Optimization for Distributed Wireless Metaverse, Latif U. Khan, Mohsen Guizani, Bassem Ouni, and Mohamed Adel Serhani
An Efficient Violence Detection Approach for Smart Cities Surveillance System, Mustaqeem Khan, Wail Gueaieb, Abdulmotaleb El Saddik, Giulia De Masi, and Fakhri Karray
A Hybrid Deep Learning Model for Human Activity Recognition and Fall Detection for the Elderly, Farah Kharrat, Wail Gueaieb, Fakhri Karray, and Abdulmotaleb Elsaddik
Assigning Topics to Documents by Successive Projections, Olga Klopp, Maxim Panov, Suzanne Sigalla, and Alexandre B. Tsybakov
Understanding Masked Autoencoders via Hierarchical Latent Variable Models, Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis Philippe Morency, and Kun Zhang
Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance, Nikita Kornilov, Ohad Shamir, Aleksandr Lobanov, Darina Dvinskikh, Alexander Gasnikov, Innokentiy Shibaev, Eduard Gorbunov, and Samuel Horváth
Explainable AI and Blockchain for Metaverse: A Security, and Privacy Perspective, Prabhat Kumar, Randhir Kumar, Moayad Aloqaily, and A. K.M.N. Islam
A Secure Data Dissemination Scheme for IoT-Based e-Health Systems using AI and Blockchain, Prabhat Kumar, Randhir Kumar, Sahil Garg, Kuljeet Kaur, Yin Zhang, and Mohsen Guizani
Cross-Modal Object Detection via UAV, Ang Li, Shouxiang Ni, Yanan Chen, Jianxin Chen, Xin Wei, Liang Zhou, and Mohsen Guizani
Cross-Temporal Snapshot Alignment for Dynamic Networks, Shangsong Liang, Shaowei Tang, Zaiqiao Meng, and Qiang Zhang
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction, Shiyang Liang, Siwei Liu, Junliang Song, Qiang Lin, Shihong Zhao, Shuaixin Li, Jiahui Li, Shangsong Liang, and Jingjie Wang
Adaptive Learning-Based Secure and Energy-Aware Resource Management for Multi-Mode Low-Carbon PIoT, Haijun Liao, Zehan Jia, Zhao Wang, Zhenyu Zhou, Xiaoyan Wang, Shahid Mumtaz, and Mohsen Guizani
Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition, Jiyong Li, Dilshod Azizov, Hilal AlQuabeh, and Shangsong Liang
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training, Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, and Hongyi Wang
Toward Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities, Kai Li, Billy Pik Lik Lau, Xin Yuan, Wei Ni, Mohsen Guizani, and Chau Yuen
Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things, Kai Li, Xin Yuan, Jingjing Zheng, Wei Ni, and Mohsen Guizani
A Four-Dimensional Space-Based Data Multi-Embedding Mechanism for Network Services, Mianjie Li, Haozheng Cui, Chihui Liu, Chun Shan, Xiaojiang Du, and Mohsen Guizani
A PDDQNLP Algorithm for Energy Efficient Computation Offloading in UAV-assisted MEC, Na Lin, Hailun Tang, Liang Zhao, Shaohua Wan, Ammar Hawbani, and Mohsen Guizani
Linear Classifier: An Often-Forgotten Baseline for Text Classification, Yu Chen Lin, Si An Chen, Jie Jyun Liu, and Chih Jen Lin
On the Thresholding Strategy for Infrequent Labels in Multi-label Classification, Yu Jen Lin and Chih Jen Lin
A Malicious Mining Code Detection Method Based on Multi-Features Fusion, Shudong Li, Laiyuan Jiang, Qianqing Zhang, Zhen Wang, Zhihong Tian, and Mohsen Guizani
Asynchronous FDRL-based Low-Latency Computation Offloading for Integrated Terrestrial and Non-Terrestrial Power IoT, Sifeng Li, Sunxuan Zhang, Zhao Wang, Zhenyu Zhou, Xiaoyan Wang, Shahid Mumtaz, Mohsen Guizani, and Valerio Frascolla
Management of Positioning Functions in Cellular Networks for Time-Sensitive Transportation Applications, Qirui Liu, Rongke Liu, Yang Zhang, Yanli Yuan, Zijie Wang, Haolan Yang, Lin Ye, Mohsen Guizani, and John S. Thompson
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation, Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, and Jian Yin
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation, Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, and Jian Yin
Identifiability of Label Noise Transition Matrix, Yang Liu, Hao Cheng, and Kun Zhang
Swarm Learning and Knowledge Distillation Empowered Self-Driving Detection against Threat Behavior for Intelligent IoT, Yibing Liu, Xiongtao Zhang, Lijun Huo, Jun Wu, and Mohsen Guizani
BlockSC: A Blockchain Empowered Spatial Crowdsourcing Service in Metaverse While Preserving User Location Privacy, Yuan Liu, Yanan Zhang, Shen Su, Lejun Zhang, Xiaojiang Du, Mohsen Guizani, and Zhihong Tian
Learning World Models with Identifiable Factorization, Yu Ren Liu, Biwei Huang, Zhengmao Zhu, Honglong Tian, Mingming Gong, Yang Yu, and Kun Zhang
Dropout Reduces Underfitting, Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, and Trevor Darrell
A study on feature selection using multi-domain feature extraction for automated k-complex detection, Yabing Li, Xinglong Dong, Kun Song, Xiangyun Bai, Hongye Li, and Fakhreddine Karray
Subspace Identification for Multi-Source Domain Adaptation, Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, and Kun Zhang
Performance Analysis and Comparison of Nonideal Wireless PBFT and RAFT Consensus Networks in 6G Communications, Haoxiang Luo, Xiangyue Yang, Hongfang Yu, Gang Sun, Bo Lei, and Mohsen Guizani
Dynamic Scheduling of IoV Edge Cloud Service Functions under NFV: A Multi-agent Reinforcement Learning Approach, Yuxi Lu, Peiying Zhang, Youxiang Duan, Mohsen Guizani, Jian Wang, and Shibao Li
Towards carbon Neutrality: Prediction of wave energy based on improved GRU in Maritime transportation, Zhihan Lv, Nana Wang, Ranran Lou, Yajun Tian, and Mohsen Guizani
On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study, Chunpeng Ma, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, and Timothy Baldwin
Trust but Verify - Blockchain-Empowered Decentralized Authentication Schema on the Metaverse: A Self-Sovereign Identity Approach, Daniel Mebrahtom, Siem Hadish, Aron Sbhatu, Moayad Aloqaily, and Mohsen Guizani
Securing Fog Computing-based Industry 4.0 Communication Using Authenticated Key Agreement Scheme, Amit Kumar Mishra, Mohammad Wazid, D. P. Singh, Ashok Kumar Das, and Mohsen Guizani
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation, Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, and Zhenguo Li
Direct Training of SNN using Local Zeroth Order Method, Bhaskar Mukhoty, Velibor Bojković, William de Vazelhes, Xiaohan Zhao, Giulia De Masi, Bin Gu, and Huan Xiong
Corruption-Tolerant Algorithms for Generalized Linear Models, Bhaskar Mukhoty, Debojyoti Dey, and Purushottam Kar
Guest Editorial Digital Twins for Mobile Networks-Part II, Shahid Mumtaz, Soumaya Cherkaoui, Mohsen Guizani, Joel J.P.C. Rodrigues, Abdulmotaleb El Saddik, Sabita Maharjan, Yang Xiao, and Ikram Ashraf
Enhanced Deep Learning Satellite-based Model for Yield Forecasting and Quality Assurance Using Metamorphic Testing, Islam Nasr, Lobna Nassar, and Fakhri Karray
TinyHAR: Benchmarking Human Activity Recognition Systems in Resource Constrained Devices, Sheikh Nooruddin, Md Milon Islam, and Fakhri Karray
A multi-resolution fusion approach for human activity recognition from video data in tiny edge devices, Sheikh Nooruddin, Md Milon Islam, Fakhri Karray, and Ghulam Muhammad
Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks, Mohammed Omar, Ahmed Badawy, Khalid Abulsaud, Elias Yaacoub, and Mohsen Guizani
SA-GDA: Spectral Augmentation for Graph Domain Adaptation, Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao, and Nan Yin
Blockchain and Multi-Agent Learning Empowered Incentive IRS Resource Scheduling for Intelligent Reconfigurable Networks, Qianqian Pan, Jun Wu, Jianhua Li, Wu Yang, and Mohsen Guizani
A Randomised Non-descent Method for Global Optimisation, Dmitry A. Pasechnyuk and Alexander Gornov
Algorithms for Euclidean-Regularised Optimal Transport, Dmitry A. Pasechnyuk, Michael Persiianov, Pavel Dvurechensky, and Alexander Gasnikov
Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks, Dmitry Pasechnyuk, Anton Prazdnichnykh, Mikhail Evtikhiev, and Timofey Bryksin
Preconditioning meets biased compression for efficient distributed optimization, Vitali Pirau, Aleksandr Beznosikov, Martin Takáč, Vladislav Matyukhin, and Alexander Gasnikov
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift, Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, and Maxim Panov
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations, Guanren Qiao, Guiliang Liu, Pascal Poupart, and Zhiqiang Xu
Enhancing Edge Multipath Data Security Offloading Efficiency via Sequential Reinforcement Learning, Wenxuan Qiao, Yuyang Zhang, Ping Dong, Xiaojiang Du, Chengxiao Yu, Hongke Zhang, and Mohsen Guizani
Non-Fungible Tokens (NFTs) - Survey of Current Applications, Evolution and Future Directions, Qaiser Razi, Aryan Devrani, Harshal Abhyankar, GSS Chalapathi, Vikas Hassija, and Mohsen Guizani
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance, Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, and Peter Richtárik
Federated Learning and NFT-Based Privacy-Preserving Medical Data Sharing Scheme for Intelligent Diagnosis in Smart Healthcare, Siva Sai, Vikas Hassija, Vinay Chamola, and Mohsen Guizani