Content Posted in 2022
3D IoU-Net: IoU Guided 3D object detector for point clouds, Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, and Ling Shao
3D Vision with Transformers: A Survey, Jean Lahoud, Jiale Cao, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Anwer, Salman Khan, and Ming-Hsuan Yang
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video, Mariana Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, and Mubarak Shah
A Biased Graph Neural Network Sampler with Near-Optimal Regret, Qingru Zhang, David Wipf, Quan Gan, and Le Song
A Blockchain-enabled and AI-Supported COVID-19 Detection Method, Farzaneh Bannazadeh, Malini Manohar, Rakshit Mitra, Ismaeel Al Ridhawi, Ali Abbas, and Mohsen Guizani
Accelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System, Li Yi, Haochen Hu, Jingwei Zhao, and Gus Xia
Accuracy vs. complexity: A trade-off in visual question answering models, Moshiur Farazi, Nick Barnes, and Salman Khan
Accurate and Efficient Performance Prediction for Mobile IoV Networks Using GWO-GR Neural Network, Lingwei Xu, Xinpeng Zhou, Yong Fu, Guanwu Jiang, Xu Yu, Miao Yu, Neeraj Kumar, and Mohsen Guizani
A Comprehensive Survey on Multimodal Medical Signals Fusion for Smart Healthcare Systems, Ghulam Muhammad, Fatima Alshehri, Fakhri Karray, Abdulmotaleb El Saddik, Mansour Alsulaiman, and Tiago H. Falk
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
Adaptive Feature Consolidation Network for Burst Super-Resolution, Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, and Fahad Shahbaz Khan
Adaptive Learning Rates for Faster Stochastic Gradient Methods, Samuel Horvath, Konstantin Mishchenko, and Peter Richtárik
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
Adversarial Attacks for Intrusion Detection Based on Bus Traffic, Daojing He, Jiayu Dai, Xiaoxia Liu, Shanshan Zhu, Sammy Chan, and Mohsen Guizani
Adversarially robust deepfake media detection using fused convolutional neural network predictions, Sohail Ahmed Khan, Alessandro Artusi, and Hang Dai
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations, Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Nasser, Salman Khan, and Fahad Shahbaz Khan
A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen and Eric Xing
A Fully Single Loop Algorithm for Bilevel Optimization Without Hessian Inverse, Junyi Li, Bin Gu, and Heng Huang
A Game Theoretic Analysis for Power Management and Cost Optimization of Green Base Stations in 5G and Beyond Communication Networks, Praveen Gorla, Anuj Deshmukh, Sandeep Joshi, Vinay Chamola, and Mohsen Guizani
A Generalized Method for Binary Optimization: Convergence Analysis and Applications, Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, and Ling Shao
A human ear reconstruction autoencoder, Hao Sun, Nick Pears, and Hang Dai
AI-based Blockchain for the Metaverse: Approaches and Challenges, Ouns Bouachir, Moayad Aloqaily, Fakhri Karray, and Abdulmotaleb Elsaddik
AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods, Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, and Martin Takac
AISCM-FH: AI-Enabled Secure Communication Mechanism in Fog Computing-Based Healthcare, Mohammad Wazid, Ashok Kumar Das, Sachin Shetty, Joel J.P.C. Rodrigues, and Mohsen Guizani
A Kernel Path Algorithm For General Parametric Quadratic Programming Problem, Bin Gu, Ziran Xiong, Shuyang Yu, and Guansheng Zheng
Algorithm for Constrained Markov Decision Process with Linear Convergence, Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander Gasnikov, and Martin Takac
A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing With Forest-fire Detection Use-case, Moustafa M. Fouda, Sadman Sakib, Zubair Md. Fadlullah, Nidal Nasser, and Mohsen Guizani
ALPS: An Adaptive Link-State Perception Scheme for Software-Defined Vehicular Networks, Na Lin, Dewei Zhao, Liang Zhao, Ammar Hawbani, Mohsen Guizani, and Neeraj Kumar
Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation, Yuxin Xiao, Eric Xing, and Williec Neiswanger
Amortized auto-tuning: Cost-efficient transfer optimization for hyperparameter recommendation, Yuxin Xiao, Eric P. Xing, and Willie Neiswanger
A Multi-Channel Interference Based Source Location Privacy Protection Scheme in Underwater Acoustic Sensor Networks, Hao Wang, Guangjie Han, Yun Hou, Mohsen Guizani, and Yan Peng
A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method for Massive MIMO with Mobility, Weidong Li, Haifan Yin, Ziao Qin, Yandi Cao, and Mérouane Debbah
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification, Runxue Bao, Bin Gu, and Heng Huang
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm For First-Order And Zeroth-Order Optimization, Xiyuan Wei, Bin Gu, and Heng Huang
Analysis of Beyond 5G Integrated Communication and Ranging Services Under Indoor 3-D mmWave Stochastic Channels, Shah Zeb, Aamir Mahmood, Syed Ali Hassan, Mikael Gidlund, and Mohsen Guizani
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration, Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, and Seung-Ik Lee
Anchor-free 3D single stage detector with mask-guided attention for point cloud, Jiale Li, Hang Dai, Ling Shao, and Yong Ding
An Effective Double-layer Detection System Against Social Engineering Attacks, Daojing He, Xin Lv, Xueqian Xu, Shui Yu, Dawei Li, Sammy Chan, and Mohsen Guizani
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data, Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, and Mohammad Yaqub
An Evolutionary Computing Based Approach for Optimal Target Coverage in Wireless Sensor Networks, Sheikh Nooruddin, Md. Milon Islam, and Fakhreddine (Fakhri) Karray
An Improved Federated Learning Algorithm for Privacy-Preserving in Cybertwin-Driven 6G System, Miao Yang, Ximin Wang, Hua Qian, Yongxin Zhu, Hongbin Zhu, Mohsen Guizani, and Victor Chang
An Intelligent Blockchain-assisted Cooperative Framework for Industry 4.0 Service Management, Ismaeel Al Ridhawi, Moayad Aloqaily, Ali Abbas, and Fakhri Karray
Anomaly detection in video via self-supervised and multi-task learning, Mariana Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, and Mubarak Shah
A Novel Authentication Protocol for IoT-enabled Devices, Daojing He, Ziming Zhao, Sammy Chan, and Mohsen Guizani
A Novel Framework of Federated and Distributed Machine Learning for Resource Provisioning in 5G and Beyond using Mobile-Edge SCBS, Praveen Gorla, Keerthivasan V, Vinay Chamola, and Mohsen Guizani
A Novel Hybrid-ARPPO Algorithm for Dynamic Computation Offloading in Edge Computing, Xuemei Yang, Hong Luo, Yan Sun, and Mohsen Guizani
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items, Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman Khan, and Naoufel Werghi
A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques, Santosh Kumar, Mithilesh Kumar Chaube, Saeed Hamood Alsamhi, Sachin Kumar Gupta, Mohsen Guizani, Raffaele Gravina, and Giancarlo Fortino
Any-shot Object Detection, Shafin Rahman, Salman Khan, Nick Barnes, and Fahad Shahbaz Khan
Applications of 3D photography in craniofacial surgery, Christian Duncan, Nick E. Pears, Hang Dai, Will A.P. Smith, and Paul O′higgins
A Privacy-Preserving Multidimensional Range Query Scheme for Edge-Supported Industrial IoT, Shuai Shang, Xiong Li, Rongxing Lu, Jianwei Niu, Xiaosong Zhang, and Mohsen Guizani
Artificial intelligence-driven design of fuel mixtures, Nursulu Kuzhagaliyeva, Samuel Horváth, John Williams, Andre Nicolle, and S. Mani Sarathy
Artificial Intelligence for 6G Networks: Technology Advancement and Standardization, Muhammad Karam Shehzad, Luca Rose, Muhammad Majid Butt, István Z. Kovács, Mohamad Assaad, and Mohsen Guizani
A Secure Energy Efficient Scheme for Cooperative IoT Networks, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
A Survey on Cache-Aided NOMA for 6G Networks, Dipen Bepari, Soumen Mondal, Aniruddha Chandra, Rajeev Shukla, Yuanwei Liu, Mohsen Guizani, and Arumugam Nallanathan
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
Asymmetric Dual-Mode Constellation and Protograph LDPC Code Design for Generalized Spatial MPPM Systems, Liang Lv, Yi Fang, Lin Dai, Yonghui Li, and Mohsen Guizani
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, and Heng Huang
Attainability and Optimality: The Equalized Odds Fairness Revisited, Zeyu Tang and Kun Zhang
Attention guided semantic relationship parsing for visual question answering, Moshiur R. Farazi, Salman Khan, and Nick Barnes
Audio-based Security Techniques for Secure Device-to-Device (D2D) Communications, Daijang Chen, Ning Zhang, Huici Wu, Kuan Zhang, Rongxing Lu, and Mohsen Guizani
Automatic C-plane detection in pelvic floor transperineal lolumetric ultrasound, Helena Williams, Laura Cattani, Mohammad Yaqub, Carole Sudre, Tom Vercauteren, Jan Deprest, and Jan D’hooge
Automatic extraction of hiatal dimensions in 3-D transperineal pelvic ultrasound recordings, Helena Williams, Laura Cattani, Dominique Van Schoubroeck, Mohammad Yaqub, Carole Sudre, Tom Vercauteren, Jan D'Hooge, and Jan Deprest
Automatic fetal gestational age estimation from first trimester scans, Sevim Cengiz and Mohammad Yaqub
Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images, Sevim Cengiz, Ibrahim Hamdi, and Mohammad Yaqub
Automatic schelling points detection from meshes, Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, and Ling Shao
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?, Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, and Mohammad Yaqub
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility, Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Hisham Cholakkal, Salman Khan, Luc Van Gool, and Fahad Shahbaz Khan
Background/foreground separation: guided attention based adversarial modeling (GAAM) versus robust subspace learning methods, Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, and Soon Ki Jung
Balanced Self-Paced Learning for AUC Maximization, Bin Gu, Chenkang Zhang, Huan Xiong, and Heng Huang
Balancing out Bias: Achieving Fairness Through Balanced Training, Xudong Han, Timothy Baldwin, and Trevor Cohn
Beamer: Stage-Aware Coflow Scheduling to Accelerate Hyper-Parameter Tuning in Deep Learning Clusters, Yihong He, Weibo Cai, Pan Zhou, Gang Sun, Shouxi Luo, Hongfang Yu, and Mohsen Guizani
Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention, Jingwei Zhao, Gus Xia, and Ye Wang
BeeCast: A Device-to-Device Collaborative Video Streaming System, Asaad Alghamdi, Younes Balah, Mohammad Albejadi, and Muhamad Felemban
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition, Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, and Le Song
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity, Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, and Heng Huang
Blockchain and Federated Deep Reinforcement Learning Based Secure Cloud-Edge-End Collaboration in Power IoT, Sunxuan Zhang, Zhao Wang, Zhenyu Zhou, Yang Wang, Hui Zhang, Geng Zhang, Huixia Ding, Shahid Mumtaz, and Mohsen Guizani
Blockchain and Semi-Distributed Learning-Based Secure and Low-Latency Computation Offloading in Space-Air-Ground-Integrated Power IoT, Haijun Liao, Zhao Wang, Zhenyu Zhou, Yang Wang, Hui Zhang, Shahid Mumtaz, and Mohsen Guizani
Blockchain-based Resource Trading in Multi-UAV-assisted Industrial IoT Networks: A Multi-agent DRL Approach, Abegaz Mohammed Seid, Hayla Nahom Abishu, Yasin Habtamu Yacob, Tewodros Alemu Ayall, Aiman Erbad, and Mohsen Guizani
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
Blockchain-envisioned access control for internet of things applications: a comprehensive survey and future directions, Palak Bagga, Ashok Kumar Das, Vinay Chamola, and Mohsen Guizani
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection, Hanoona Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman Khan, and Fahad Shahbaz Khan
Burst image restoration and enhancement, Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, and Ming-Hsuan Yang
C4AV: learning cross-modal representations from transformers, Shujie Luo, Hang Dai, Ling Shao, and Yong Ding
Cancelable biometrics vault: A secure key-binding biometric cryptosystem based on chaffing and winnowing, Osama Ouda, Karthik Nandakumar, and Arun Ross
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?, Fajri Koto, Jey Han Lau, and Timothy Baldwin
Can Transformers be Strong Treatment Effect Estimators?, Yi-Fan Zhang, Hanlin Zhang, Zachary Lipton, Li Erran Li, and Eric P. Xing
Casual Balancing for Domain Generalization, Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, and William Yang Wang
CausalAdv: Adversarial Robustness through the Lens of Causality, Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, and Kun Zhang
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, and Mohammad Yaqub
C-HealthIER: A Cooperative Health Intelligent Emergency Response System for C-ITS, Moayad Aloqaily, Haya Elayan, and Mohsen Guizani
Classification-Aware Path Planning of Network of Robots, Guangyi Liu, Arash Amini, Martin Takac, and Nader Motee
Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian, Fajri Koto, Timothy Baldwin, and Jey Han Lau
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection, Dhanalaxmi Gaddam, Jean Lahoud, Fahad Shahbaz Khan, Rao Anwer, and Hisham Cholakkal
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains, Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, and Fahad Shahbaz Khan
Collaborative Learning-based Network Resource Scheduling and Route Management for Multi-Mode Green IoT, Zhenyu Zhou, Xinyi Chen, Haijun Liao, Zhong Gan, Fei Xiao, Qi Tu, Wenwen Sun, Yun Liu, Shahid Mumtaz, and Mohsen Guizani
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification, Hussam Azzuni, Muhammad Ridzuan, Min Xu, and Mohammad Yaqub
Commands for autonomous vehicles by progressively stacking visual-linguistic representations, Hang Dai, Shujie Luo, Yong Ding, and Ling Shao
Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework, Mohammad Karimzadeh Farshbafan, Walid Saad, and Mérouane Debbah
Compression, Transduction, And Creation: A Unified Framework for Evaluating Natural Language Generation, Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, and Zhiting Hu
Computational Catalyst Discovery: Active Classification Through Myopic Multiscale Sampling, Kevin Tran, Willie Neiswanger, Kirby Broderick, Eric Xing, Jeff Schneider, and Zachary W. Ulissi
Computer Vision-Based Architecture for IoMT Using Deep Learning, Rabiah Al-Qudah, Moayad Aloqaily, and Fakhreddine (Fakhri) Karray
Conditional generative modeling via learning the latent space, Sameera Ramasinghe, Moshiur Farazi, Salman Khan, Nick Barnes, and Stephen Gould
Continual domain incremental learning for chest X-ray classification in low-resource clinical settings, Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, and Dwarikanath Mahapatra
Contrastive Pretraining for Echocardiography Segmentation with Limited Data, Mohamed Saeed, Rand Muhtaseb, and Mohammad Yaqub
Contrastive Self-Supervised Learning: A Survey on Different Architectures, Adnan Khan, Sarah Al Barri, and Muhammad Arslan Manzoor
Cooperative multi-agent actor-critic for privacy-preserving load scheduling in a residential microgrid, Zhaoming Qin, Nanqing Dong, Eric P. Xing, and Junwei Cao
Count- and Similarity-Aware R-CNN for pedestrian detection, Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, and Ling Shao
CpT: Convolutional point transformer for 3D point cloud processing, Chaitanya Kaul, Joshua Mitton, Hang Dai, and Roderick Murray-Smith
Cross-Temporal Snapshot Alignment for Dynamic Multi-Relational Networks, Lvjia Chen and Shangsong Liang
CryptInfer: enabling encrypted inference on skin lesion images for melanoma detection, Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti, and Uttam Kumar
CULG: Commercial Universal Language Generation, Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, and Nan Duan
Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language, Mohammad Karimzadeh Farshbafan, Walid Saad, and Mérouane Debbah
Cybertwin-Driven Federated Learning Based Personalized Service Provision for 6G-V2X, Sahaya Beni Prathiba, Gunasekaran Raja, Sudha Anbalagan, Sugeerthi Gurumoorthy, Neeraj Kumar, and Mohsen Guizani
CyTran: Cycle-consistent transformers for non-contrast to contrast CT translation, Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, and Radu Tudor Ionescu
D2-Net: Weakly-supervised action localization via discriminative embeddings and denoised activations, Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Minghsuan Yang, and Ling Shao
D3Former: Debiased Dual Distilled Transformer for Incremental Learning, Abdelrahman Mohamed, Rushali Grandhe, K.J. Joseph, Salman Khan, and Fahad Shahbaz Khan
Data-free neural architecture search via recursive label calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, and Chas Leichner
Data-Hungry Issue in Personalized Product Search, Wu Bin, Shangsong Liang, and Yuehong Wu
Decentralized IoB for Influencing IoT-based Systems Behavior, Haya Elayan, Moayad Aloqaily, Fakhreddine (Fakhri) Karray, and Mohsen Guizani
Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm For All Personalization Modes, Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov, Darina Dvinskikh, Rachael Chezhegov, E.H. Tappenden, Martin Takáč, and Alexander V. Gasnikov
Decentralized Personalized Federated Min-Max Problems, Ekaterina Borodich, Aleksandr Beznosikov, Abdurakhmon Sadiev, Vadim Sushko, Nikolay Savelyev, Martin Takáč, and Alexander V. Gasnikov
Decentralized Renewable Resource Redistribution and Optimization for Beyond 5G Small Cell Base Stations: A Machine Learning Approach, Praveen Gorla, Mohammad Saif, Vinay Chamola, Biplab Sikdar, and Mohsen Guizani
Deep Distributed Learning-based POI Recommendation Under Mobile Edge Networks, Zhiwei Guo, Keping Yu, Neeraj Kumar, Wei Wei, Shahid Mumtaz, and Mohsen Guizani
Deep Gaussian Processes for Few-shot Segmentation, Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, and Fahad Shahbaz Khan
Deep Information Fusion-Driven POI Scheduling for Mobile Social Networks, Zhiwei Guo, Keping Yu, Ali Kashif Bashir, Di Zhang, Yasser D. Al-Otaibi, and Mohsen Guizani
Deep Learning and Blockchain-based Framework to Detect Malware in Autonomous Vehicles, Dev Patel, Dhairya Jadav, Rajesh Gupta, Nilesh Kumar Jadav, Sudeep Tanwar, Bassem Ouni, and Mohsen Guizani
Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans, Sevim Cengiz and Mohammad Yaqub
Deep learning in multimedia healthcare applications: a review, Diana P. Tobón V, M. Shamim Hossain, Ghulam Muhammad, Josu Bilbao, and Abdulmotaleb El Saddik
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things, Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, and Mohsen Guizani
Deep learning predicts EBV status in gastric cancer based on spatial patterns of lymphocyte infiltration, Baoyi Zhang, Kevin Yao, Min Xu, Jia Wu, and Chao Cheng
Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey, Mohammad Z. Atwany, Abdulwahab H. Sahyoun, and Mohammad Yaqub
Deep-precognitive diagnosis: preventing future pandemics by novel disease detection With biologically-inspired conv-fuzzy network, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, and Min Xu
Dense Gaussian processes for few-shot segmentation, Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, and Martin Danelljan
Design and Formal Analysis of a Lightweight MIPv6 Authentication Scheme, Daojing He, Xintong Lu, Xuru Li, Sammy Chan, and Mohsen Guizani
Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites, Zhiyong Xiong, Zhaoxiong Yan, Huanan Yao, and Shangsong Liang
Design of a Reconfigurable Intelligent Surface-Assisted FM-DCSK-SWIPT Scheme with Non-linear Energy Harvesting Model, Yi Fang, Yiwei Tao, Huan Ma, Yonghui Li, and Mohsen Guizani
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm, Qingsong Zhang, Bin Gu, Zhiyuan Dang, and Cheng Deng
Detecting and Understanding Harmful Memes: A Survey, Shivam Sharma, Firoj Alam, Md Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, and Tanmoy Chakraborty
Difference Based Spatial Modulation, Yuli Yang, Mohsen Guizani, and Bingli Jiao
Digital Twin-enabled IoMT System for Surgical Simulation using rAC-GAN, Yonghang Tai, Liqiang Zhang, Qiong Li, Chunsheng Zhu, Victor Chang, Joel J. P. C. Rodrigues, and Mohsen Guizani
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities, Latif U. Khan, Zhu Han, Walid Saad, Ekram Hossain, Mohsen Guizani, and Choong Seon Hong
Discriminative region-based multi-label zero-shot learning, Sanath Narayan, Akshita Gupta, Salman Khan, Fahad Shahbaz Khan, Ling Shao, and Mubarak Shah
Disease Prediction in Edge Computing: A Privacy-Preserving Technique for PHI Collection and Analysis, Liehuang Zhu, Chuan Zhang, Chang Xu, Wei Wang, Xiaojiang Du, Mohsen Guizani, and Kashif Sharif
Distributed Learning With Sparsified Gradient Differences, Yicheng Chen, Rick S. Blum, Martin Takac, and Brian M. Sadler
Domain Adversarial Training on Conditional Variational Auto-Encoder for Controllable Music Generation, Jingwei Zhao, Gus Xia, and Ye Wang
DoodleFormer: Creative Sketch Drawing with Transformers, Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, and Michael Felsberg
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information, Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, and Martin Takáč
DRGen: Domain Generalization in Diabetic Retinopathy Classification, Mohammad Zeyad Atwany and Mohammad Yaqub
DuBloQ: Blockchain and Q-Learning Based Drug Discovery in Healthcare 4.0, Urvashi Ramdasani, Gunjan Vinzuda, Sudeep Tanwar, Rajesh Gupta, and Mohsen Guizani
Dynamically Decoding Source Domain Knowledge for Domain Generalization, Cuicui Kang and Karthik Nandakumar
Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, and Mohsen Guizani
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation, Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, and Efstratios Gavves
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography, Rand Muhtaseb and Mohammad Yaqub
Edge-Assisted Solutions for IoT-Based Connected Healthcare Systems: A Literature Review, Vahideh Hayyolalam, Moayad Aloqaily, Oznur Ozkasap, and Mohsen Guizani
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing, Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, and Mérouane Debbah
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications, Muhammad Maaz, Abdelrahman Shaker, Hisham Cholakkal, Salman Khan, Syed Waqas Zamir, Rao Anwer, and Fahad Shahbaz Khan
Efficient CNN building blocks for encrypted data, Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath U. Pankanti, and Uttam Kumar
Efficient encrypted inference on ensembles of decision trees, Kanthi Kiran Sarpatwar, Karthik Nandakumar, Nalini K. Ratha, James T. Rayfield, Karthikeyan Shanmugam, Roman Vaculin, and Sharath U. Pankanti
ELITE: An Intelligent Digital Twin-based Hierarchical Routing Scheme for Softwarized Vehicular Networks, Liang Zhao, Zhenguo Bi, Ammar Hawbani, Keping Yu, Yan Zhang, and Mohsen Guizani
End-to-End Myocardial Infarction Classification from Echocardiographic Scans, Mohamed Saeed and Mohammad Yaqub
End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks, Ziran Xiong, Wanli Shi, and Bin Gu
Energy-based Latent Aligner for Incremental Learning, K.J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, and Vineeth N. Balasubramanian
Explainable Intelligence-Driven Defense Mechanism Against Advanced Persistent Threats: A Joint Edge Game and AI Approach, Huiling Li, Jun Wu, Hansong Xu, Gaolei Li, and Mohsen Guizani
Exploiting higher-order derivatives in convex optimization methods, Dmitry Kamzolov, Alexander Gasnikov, Pavel Dvurechensky, Artem Agafonov, and Martin Takac
Exploring complementary strengths of invariant and equivariant representations for few-shot learning, Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, and Mubarak Shah
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT, Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, and Mohsen Guizani
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation, Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, and Eric Xing
fairlib: A Unified Framework for Assessing and Improving Classification Fairness, Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, and Trevor Cohn
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge, Jun Ma, Yao Zhang, Song Gu, Xingle An, Zhihe Wang, Cheng Ge, Congcong Wang, Fan Zhang, Yu Wang, Yinan Xu, Shuiping Gou, Franz Thaler, Christian Payer, Darko Štern, Edward G.A. Henderson, Dónal M. McSweeney, Andrew Green, Price Jackson, Lachlan McIntosh, Quoc-Cuong Nguyen, Abdul Qayyum, Pierre-Henri Conze, Ziyan Huang, Ziqi Zhou, Deng-Ping Fan, Huan Xiong, Guoqiang Dong, Qiongjie Zhu, Jian He, and Xiaoping Yang
Fast And Scalable Adversarial Training Of Kernel SVM Via Doubly Stochastic Gradients, Huimin Wu, Zhengmian Hu, and Bin Gu
FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network, Abegaz Mohammed, Aiman Erbad, Hayla Nahom, Abdullatif Albaseer, Mohammed Abdallah, and Mohsen Guizani
Federated Learning Stability Under Byzantine Attacks, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
FedShuffle: Recipes for Better Use of Local Work in Federated Learning, Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, and Michael Rabbat
Finding Age Path of Self-Paced Learning, Bin Gu, Zhou Zhai, Xiang Li, and Heng Huang
Firmware Vulnerabilities Homology Detection Based on Clonal Selection Algorithm for IoT Devices, Daojing He, Xiaohu Yu, Tinghui Li, Sammy Chan, and Mohsen Guizani
Fixing localization errors to improve image classification, Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, and Luc Van Gool
FLECS: A Federated Learning Second-Order Framework via Compression and Sketching, Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander Gasnikov, and Martin Takac
Focusnet++: Attentive aggregated transformations for efficient and accurate medical image segmentation, Chaitanya Kaul, Nick Pears, Hang Dai, Roderick Murray-Smith, and Suresh Manandhar
From handcrafted to deep features for pedestrian detection: A survey, Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, and Ling Shao
From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts, Moshiur R. Farazi, Salman Khan, and Nick Barnes
From voxel to point: IoU-guided 3D object detection for point cloud with voxel-to-point decoder, Jiale Li, Hang Dai, Ling Shao, and Yong Ding
Fusion and Orthogonal Projection for Improved Face-Voice Association, Muhammad Saad Saeed, Muhammad Haris Khan, Shah Nawaz, Muhammad Haroon Yousaf, and Alessio Del Bue
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer, Xingyu Qu, Diyang Li, Xiaohan Zhao, and Bin Gu
GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images, Ahmed Al-Mahrooqi, Dmitrii Medvedev, Rand Muhtaseb, and Mohammad Yaqub
Generalized Error Path Algorithm, Bin Gu and Charles X. Ling
Generative Cooperative Learning for Unsupervised Video Anomaly Detection, M. Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, and Seung-Ik Lee
Generative multi-label zero-shot learning, Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, and Joost van de Weijer
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning, Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, and Liang Lin
GNN is a Counter? Revisiting GNN for Question Answering, Kuan Wang, Yuyu Zhang, Dlyi Yang, Le Song, and Tao Qin
Granger Causality using Neural Networks, Samuel Horváth, Malik Shahid Sultan, and Hernando Ombao
Graph Convolutional Network Aided Virtual Network Embedding for Internet of Thing, Sihan Ma, Haipeng Yao, Tianle Mai, Jingkai Yang, Wenji He, Kaipeng Xue, and Mohsen Guizani
GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems, Na Lin, Yanbo Fan, Liang Zhao, Xiaoming Li, and Mohsen Guizani
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design, Minsu Kim, Walid Saad, Mohammad Mozaffari, and Mérouane Debbah
Guest Editorial Introduction to the Special Section on Collaborative Machine Learning for Next-Generation Intelligent Applications, Wei Cai, Zehui Xiong, Jiawen Kang, Carla Fabiana Chiasserini, Ekram Hossain, and Mohsen Guizani
Guest Editorial: Non-Euclidean Machine Learning, Stefanos Zafeiriou, Michael Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Lio, Joan Bruna, and Marco Gori
Guidance Through Surrogate: Toward a Generic Diagnostic Attack, Muzammal Naseer, Salman Khan, Fatih Porikli, and Fahad Shahbaz Khan
Handwriting Transformers, Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, and Mubarak A. Shah
Highly Accurate Dichotomous Image Segmentation, Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Luc Van Gool, and Ling Shao
High-resolution Iterative Feedback Network for Camouflaged Object Detection, Xiaobin Hu, Deng-Ping Fan, Xuebin Qin, Hang Dai, Wenqi Ren, Ying Tai, Chengjie Wang, and Ling Shao
HMFS: Hybrid Masking for Few-Shot Segmentation, Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, and Mubbasir Kapadia
Hotlist and stale content update mitigation in local databases for DNS flooding attacks, Tasnuva Mahjabin, Yang Xiao, Tieshan Li, and Mohsen Guizani
Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects, Md Milon Islam, Sheikh Nooruddin, Fakhri Karray, and Ghulam Muhammad
Hybrid Optical-Electrical Data Center Networking: Challenges and Solutions for Bandwidth Resource Optimization, Fu Wang, Haipeng Yao, Jingjing Wang, Tianle Mai, Xiangjun Xin, and Mohsen Guizani
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification, Ibraheem Hamdi, Muhammad Ridzuan, and Mohammad Yaqub
Hyperspherical Variational Co-embedding for Attributed Networks, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, and Maarten De Rijke
Implicit Motion Handling for Video Camouflaged Object Detection, Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, and Zongyuan Ge
Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization, Wanli Shi and Bin Gu
Improving negation detection with negation-focused pre-training, Hung Thinh Truong, Timothy Baldwin, Trevor Cohn, and Karin Verspoor
Improving Text-To-Image Synthesis Using Contrastive Learning, Hui Ye, Xiulong Yang, Martin Takáč, Raj Sunderraman, and Shihao Ji
Incremental learning for transductive support vector machine, Haiyan Chen, Ying Yu, Yizhen Jia, and Bin Gu
Incremental learning for transductive support vector machine, Haiyan Chen, Ying Yu, Yizhen Jia, and Bin Gu
Incremental Object Detection via Meta-Learning, Joseph Kj, Jathushan Rajasegaran, Salman Khan, Fahad Shahbaz Khan, and Vineeth N. Balasubramanian
Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey, Shah Zeb, Aamir Mahmood, Syed Ali Hassan, MD. Jalil Piran, Mikael Gidlund, and Mohsen Guizani
Inexact Tensor Methods and Their Application to Stochastic Convex Optimization, Artem Agafonov, Dmitry Kamzolov, Pavel Dvurechensky, Alexander Gasnikov, and Martin Takac
Information Fusion for Edge Intelligence: A Survey, Yin Zhang, Chi Jiang, Binglei Yue, Jiafu Wan, and Mohsen Guizani
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse, Moayad Aloqaily, Ouns Bouachir, Fakhri Karray, Ismaeel Al Ridhawi, and Abdulmotaleb El Saddik
Intelligent Blockchain-Enabled Communication and Services: Solutions for Moving Internet of Things Devices, Ismaeel Al Ridhawi, Moayad Aloqaily, and Fakhreddine (Fakhri) Karray
Intelligent Edge-Aided Network Slicing for 5G and Beyond Networks, Jianhang Tang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, Zehui Xiong, Dusit Niyato, and Mohsen Guizani
Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things, Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, and Mohsen Guizani
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior, Haya Elayan, Moayad Aloqaily, Fakhri Karray, and Mohsen Guizani
Internet of Things Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain: A Review, Md. Milon Islam, Sheikh Noorduddin, Fakhreddine (Fakhri) Karray, and Ghulam Muhammad
Interpreting Song Lyrics With An Audio-Informed Pre-Trained Language Model, Yixiao Zhang, Junyan Jiang, Gus Xia, and Simon Dixon
Intriguing properties of vision transformers, Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang
Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images?, Mohamed Saeed, Rand Muhtaseb, and Mohammad Yaqub
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?, Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, and Mohammad Yaqub
Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO, Zhe Wang, Jiayi Zhang, Hien Quoc Ngo, Bo Ai, and Méroúane Debbah
Joint Parking and Power Management for Electric Vehicle Edge Computing: A Bilevel Optimization Approach, Xumin Huang, Weifeng Zhong, Jiangtian Nie, Jiawen Kang, Zehui Xiong, Yuan Wu, and Mohsen Guizani
Kernel Error Path Algorithm, Ziran Xiong, Charles X. Ling, and Bin Gu
Kernel Path for nu-Support Vector Classification, Bin Gu, Ziran Xiong, Zhai Zhou, Guansheng Zheng, and Xiang Li
Kernel Path for Ν-Support Vector Classification, Bin Gu, Ziran Xiong, Xiang Li, Zhou Zhai, and Guansheng Zheng
Knowledge-Aware Meta-Learning for Low-Resource Text Classification, Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, and Eric P. Xing
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling, Zhouyuan Huo, Bin Gu, and Heng Huang
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients, Zhiyuan Dang, Xiang Li, Bin Gu, and Cheng Deng
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification, Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, and Ling Shao
Learning digital camera pipeline for extreme low-light imaging, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, and Ling Shao
Learning Enriched Features for Fast Image Restoration and Enhancement, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao
Learning Enriched Features for Real Image Restoration and Enhancement, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shabaz Khan, Ming-Hsuan Yang, and Ling Shao
Learning from Mistakes - A Framework for Neural Architecture Search, Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, and Pengtao Xie
Learning Hierarchical Metrical Structure Beyond Measures, Junyan Jiang, Daniel Chin, Yixiao Zhang, and Gus Xia
Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, and Kun Zhang
Learning Sampling Policy for Faster Derivative Free Optimization, Zhou Zhai, Bin Gu, and Heng Huang
Learning Temporal Rules from Noisy Timeseries Data, Karan Samel, Zelin Zao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan A. Essa, and Le Song
Learning to Co-Embed Queries and Documents, Yuehong Wu, Bowen Lu, Lin Tian, and Shangsong Liang
Learning to Control under Time-Varying Environment, Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takac, and Bin Gu
Learning to fuse asymmetric feature maps in Siamese trackers, Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, and Jianbing Shen
Learning to generalize Dispatching rules on the Job Shop Scheduling, Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal, and Martin Takac
Learning to Learn Variational Semantic Memory, Xiantong Zhen, Yingjun Du, Huan Xiong, Cees G.M. Snoek, and Ling Shao
Learning to Learn with Variational Information Bottleneck for Domain Generalization, Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G.M. Snoek, and Ling Shao
LED down the rabbit hole: Exploring the potential of global attention for biomedical multi-document summarisation, Yulia Otmakhova, Hung Thinh Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, and Jey Han Lau
Local differential Privacy for Belief Functions, Qiyu Li, Chunlai Zhou, Biao Qin, and Zhiqiang Xu
Locality Sensitive Teaching, Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, and Anshumali Shrivastava
Low light image enhancement via global and local context modeling, Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, and Ming-Hsuan Yang
M3DSSD: monocular 3D single stage object detector, Shujie Luo, Hang Dai, Ling Shao, and Yong Ding
Machine learning security attacks and defense approaches for emerging cyber physical applications: A comprehensive survey, Jaskaran Singh, Mohammad Wazid, Ashok Kumar Das, Vinay Chamola, and Mohsen Guizani
Mask-guided attention network and occlusion-sensitive hard example mining for occluded pedestrian detection, Jin Xie, Yanwei Pang, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, and Ling Shao
Matching Game for Intelligent Resource Management in Integrated Satellite-Terrestrial Networks, Xinru Mi, Chungang Yang, Yanbo Song, Zhu Han, and Mohsen Guizani
MED-GPVS: A Deep Learning-Based Joint Biomedical Image Classification and Visual Question Answering System for Precision e-Health, Harishma T. Haridas; Mostafa M. Fouda; Zubair Md Fadlullah; Mohamed Mahmoud; Benha University, Faculty of Engineering at Shoubra, Egypt; and Mohsen Guizani
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation, Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, and Eric P. Xing
Meta-Learning Helps Personalized Product Search, Bin Wu, Zaiqiao Meng, Qiang Zhang, and Shangsong Liang
MineGAN++: Mining generative models for efficient knowledge transfer to limited data domains, Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, and Joost Van de Weijer
Modeling Perceptual Loudness of Piano Tone: Theory and Applications, Yang Qu, Yutian Qin, Lecheng Chao, Hangkai Qian, Ziyu Wang, and Gus Xia
Molecular Attributes Transfer from Non-Parallel Data, Shuangjia Zheng, Ying Song, Pan Zhang, Le Song, Chengtao Li, and Yuedong Yang
Molecule Generation for Drug Design: A Graph Learning Perspective, Nian Zu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, and Le Song
Moving objects segmentation using generative adversarial modeling, Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, and Soon Ki Jung
MRSA: Mask Random Array Protocol for Efficient Secure Handover Authentication in 5G HetNets, Yibing Liu, Lijun Huo, Jun Wu, and Mohsen Guizani
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages, Gokul Karthik Kumar, Abhishek Singh Gehlot, Sahal Shaji Mullappilly, and Karthik Nandakumar
Multiagent Deep Reinforcement Learning for Wireless-Powered UAV Networks, Omar Sami Oubbati, Abderrahmane Lakas, and Mohsen Guizani
Multi-agent Reinforcement Learning Aided Service Function Chain Deployment for Internet of Things, Yuchao Zhu, Haipeng Yao, Tianle Mai, Wenji He, Ni Zhang, and Mohsen Guizani
Multiagent Reinforcement Learning-Based Semi-Persistent Scheduling Scheme in C-V2X Mode 4, Bo Gu, Weixiang Chen, Mamoun Alazab, Xiaojun Tan, 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
Multi-Carrier DCSK With Hybrid Index Modulation: A New Perspective on Frequency-Index-Aided Chaotic Communication, Yiwei Tao, Yi Fang, Huan Ma, Shahid Mumtaz, and Mohsen Guizani
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution, Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae Verga, Nicolae-Cătălin Ristea, and Fahad Shabaz Khan
Multi-modal Transformers Excel at Class-agnostic Object Detection, Muhammad Maaz, Hanoona Bangalath Rasheed, Salman Hameed Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, and Ming-Hsuan Yang
MultiSpanQA: A Dataset for Multi-Span Question Answering, Haonan Li, Maria Vasardani, Martin Tomko, and Timothy Baldwin
Multi-stage progressive image restoration, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming Hsuan Yang, and Ling Shao
Multi-Task Learning of Order-Consistent Causal Graphs, Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, and Le Song
Negational symmetry of quantum neural networks for binary pattern classification, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, and Eric P. Xing
Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation, Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, and Zhiqiang Shen
NOTMAD: estimating bayesian networks with sample-specific structures and parameters, Benjamin Lengerich, Caleb Ellington, Bryon Aragam, Eric P. Xing, and Manolis Kellis
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results, Fahad Shahbaz Khan and Salman Khan
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, and Jey Han Lau
Offline Reinforcement Learning with Causal Structured World Models, Zheng-Mao Zhu, Xiong-Hui Chen, Hong-Long Tian, Kun Zhang, and Yang Yu
On Demographic Bias in Fingerprint Recognition, Akash Godbole, Steven A. Grosz, Karthik Nandakumar, and Anil K. Jain
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia, Alham Fikri Aji, Genta Indra Winata, Fajri Koto, Samuel Cahyawijaya, Ade Romadhony, Rahmad Mahendra, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Timothy Baldwin, Jey Han Lau, and Sebastian Ruder
On Generating Transferable Targeted Perturbations, Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Fatih Porikli
On improving adversarial transferability of vision transformers, Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, and Fatih Porikli
On Improving Automated Detection of Cyber-Bully in Social Networks with Constrained Datasets: A Hierarchical Deep Learning Approach, Venkata S. Nagulapati, Sai R. Rapelli, Zubair Md Fadlullah, Mostafa M. Fouda, Waleed Alasmary, and Mohsen Guizani
On Scaled Methods for Saddle Point Problems, Aleksandr Beznosikov, Aibek Alanov, Dmitry Kovalev, Martin Takac, and Alexander Gasnikov
On the Convergence of Continuous Constrained Optimization for Structure Learning, Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, and Kun Zhang
On the effect of dropping layers of pre-trained transformer models, Hassan Sajjad, Fahim Dalvi, Nadir Durrani, and Preslav Nakov
On the Generation of Medical Dialogs for COVID-19, Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, and Pengtao Xie
On the Identifiability of Nonlinear ICA: Sparsity and Beyond, Yujia Zheng, Ignavier Ng, and Kun Zhang
On the Number of Linear Regions of Convolutional Neural Networks, Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, and Ling Shao
On the Robustness of 3D Object Detectors, Fatima Albreiki, Sultan Abu Ghazal, Jean Lahoud, Rao Anwer, Hisham Cholakkal, and Fahad Shahbaz Khan
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning, Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, and Mubarak Shah
Optimal Transport for Causal Discovery, Ruibo Tu, Kun Zhang, Hedvig Kjellström, and Cheng Zhang
Optimising Equal Opportunity Fairness in Model Training, Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, and Lea Frermann
Optimizing Homomorphic Encryption based Secure Image Analytics, Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti, and Uttam Kumar
Optimizing Large-Scale Hyperparameters Via Automated Learning Algorithm, Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, and Heng Huang
Orthogonal Projection Loss, Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman Khan, and Fahad Shahbaz Khan
Overview of the CLEF–2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection, Preslav Nakov, Alberto Barrón-Cedeño, Giovanni da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mucahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Michael Wiegand, Melanie Siegel, and Juliane Köhler
Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets, Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Mucahid Kutlu, Wajdi Zaghouani, Mucahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Hamdy Mubarak, and Alex Nikolov
Overview of the CLEF-2022 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Shaden Shaar, Hamdy Mubarak, and Nikolay Babulkov
OW-DETR: Open-world detection transformer, Akshita Gupta, Sanath Narayan, K.J. Joseph, Salman Khan, Fahad Shahbaz Khan, and Mubarak Shah
P2V-RCNN: point to voxel feature learning for 3D object detection from point clouds, Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, and Ling Shao
Panoramic learning with a standardized machine learning formalism, Zhiting Hu and Eric P. Xing
Penalizing small errors using an adaptive logarithmic loss, Chaitanya Kaul, Nick Pears, Hang Dai, Roderick Murray-Smith, and Suresh Manandhar
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks, Xingjian Cao, Gang Sun, Hongfang Yu, and Mohsen Guizani
Personalized, Sequential, Attentive, Metric-Aware Product Search, Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, and Qiang Zhang
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence, Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, and Mohsen Guizani
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
Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection, Shafin Rahman, Salman Khan, and Nick Barnes
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning, Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, and Eric P. Xing
PPDL - privacy preserving deep learning using homomorphic encryption, Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti, and Uttam Kumar
PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning, Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, and Chao Zhang
Preface, Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I.L. Namburete, and J. Alison Noble
Preface, Bartłomiej W. Papież, Ana I.L. Namburete, Mohammad Yaqub, and J. Alison Noble
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning, Bin Gu, An Xu, Zhouyuan Huo, and Cheng Deng
Privacy-Preserving Continuous Authentication for Mobile and IoT Systems Using Warmup-Based Federated Learning, Mohamad Wazzeh, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, and Mohsen Guizani
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model, Shangsong Liang, Yupeng Luo, and Zaiqiao Meng
Progressive generation of long text with pretrained language models, Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, and Zhiting Hu
Proto: Program-Guided Transformer for Program-Guided Tasks, Zelin Zhao, Karan Samel, Binghong Chen, and Le Song
Prototypical Graph Contrastive Learning, Shuai Lin, Liu Chen, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric Xing, and Xiaodan Liang
PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search, Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Anwer, and Fahad Shahbaz Khan
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving, Yi-Nan Chen, Hang Dai, and Yong Ding
PSTR: End-to-End One-Step Person Search With Transformers, Jiale Cao, Pang Yanwei, Rao Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, and Fahad Shahbaz Khan
QMIX Aided Routing in Social-Based Delay-Tolerant Networks, Chenchen Han, Haipeng Yao, Tianle Mai, Ni Zhang, and Mohsen Guizani
QoS Aware Uplink Scheduling for M2M Communication in LTE/LTE-A Network: A Game Theoretic Approach, Upendra Singh, Amit Dua, Neeraj Kumar, and Mohsen Guizani
Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample, Albert S. Berahas, Majid Jahani, Peter Richtárik, and Martin Takáč
Question-agnostic attention for visual question answering, Moshiur Farazi, Salman Khan, and Nick Barnes
RANCE: a Randomly Centralized and On-Demand Clustering Protocol for Mobile Ad Hoc Networks, Xi Chen, Gang Sun, Tao Wu, Ling Liu, Hongfang Yu, and Mohsen Guizani
Random-Reshuffled SARAH Does Not Need a Full Gradient Computations, Aleksandr Beznosikov and Martin Takáč
Reconfigurable Intelligent Surfaces and Capacity Optimization: A Large System Analysis, Aris L. Moustakas, George C. Alexandropoulos, and Mérouane Debbah
Relevance Attack on Detectors, Sizhe Chen, Fan He, Xiaolin Huang, and Kun Zhang
Resource Allocation Based on Digital Twin-enabled Federated Learning Framework in Heterogeneous Cellular Network, Yejun He, Mengna Yang, Zhou He, and Mohsen Guizani
Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning, Dan Wang, Bin Song, Peng Lin, Richard F. Yu, Xiaojiang Du, and Mohsen Guizani
Restormer: Efficient transformer for High-resolution image restoration, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds, Sameera Ramasinghe, Moshiur Farazi, Salman Khan, Nick Barnes, and Stephen Gould
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?, Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, and Shangsong Liang
Rich Semantics Improve Few-Shot Learning, Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, and Fahad Shahbaz Khan
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems, Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, and Mohsen Guizani
RLPROMPT: Optimizing Discrete Text Prompts With Reinforcement Learning, Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric Xing, and Zhiting Hu
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning, Chonghan Chen, Haohan Wang, Leyang Hu, Yuhao Zhang, Shuguang Lyu, Jingcheng Wu, Xinnuo Li, Linjing Sun, and Eric Xing
Robust Decentralized Federated Learning Using Collaborative Decisions, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input, Guangyi Liu, Arash Amini, Martin Takac, and Nader Motee
Roma: Robust Model Adaptation for Offline Model-Based Optimization, Sihyun Yu, Sung-soo Ahn, Le Song, and Jinwoo Shin
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation, Guo-Sen Xie, Jie Liu, Huan Xiong, and Ling Shao
Scaling Up Generalized Kernel Methods, Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, and Heng Huang
Scribble-based boundary-aware network for weakly supervised salient object detection in remote sensing images, Zhou Huang, Tian-Zhu Xiang, Huai-Xin Chen, and Hang Dai
SD-AETO: Service Deployment Enabled Adaptive Edge Task Offloading in MEC, Liangjun Song, Gang Sun, Hongfang Yu, and Mohsen Guizani
SDN Assisted Mobile Edge Computing for Collaborative Computation Offloading in Industrial Internet of Things, Chaogang Tang, Chunsheng Zhu, Ning Zhang, Mohsen Guizani, and Joel J. P. C. Rodrigues
Secure and Latency-Aware Digital Twin Assisted Resource Scheduling for 5G Edge Computing-Empowered Distribution Grids, Zhenyu Zhou, Zehan Jia, Haijun Liao, Wenbing Lu, Shahid Mumtaz, Mohsen Guizani, and Muhammad Tariq
Secure Bilevel Asynchronous Vertical Federated Learning With Backward Updating, Qingsong Zhang, Bin Gu, Cheng Deng, and Heng Huang
Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis, Ikboljon Sobirov, Numan Saeed, and Mohammad Yaqub
Self-Distilled Vision Transformer for Domain Generalization, Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, and Fahad Shahbaz Khan
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification, Faris Almalik, Mohammad Yaqub, and Karthik Nandakumar
Self-supervised Deep Learning for mmWave Beam Steering Exploiting Sub-6 GHz Channels, Irched Chafaa, Romain Negrel, E. Veronica Belmega, and Mérouane Debbah
Self-supervised learning for fine-grained visual categorization, Muhammad Maaz, Hanoona Abdul Rasheed, and Dhanalaxmi Gaddam
Self-supervised predictive convolutional attentive block for anomaly detection, Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, and Mubarak Shah
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging, Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, and Mubarak Shah
Self-supervised video transformer, Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, and Michael Ryoo
Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, and Mohammad Yaqub
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion, Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Jiaxing Huang, Kaiwen Cui, Shijian Lu, and Eric Xing
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks, Yunqing Bao, Hang Dai, and Abdulmotaleb Elsaddik
SepTr: Separable Transformer for Audio Spectrogram Processing, Nicolae-Cătălin Ristea, Radu Tudor Ionescu, and Fahad Shahbaz Khan
Sine Cosine Algorithm for Reducing Communication Costs of Federated Learning, Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani, and Fakhri Karray
SipMask: spatial information preservation for fast image and video instance segmentation, Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, and Ling Shao
SipMaskv2: Enhanced Fast Image and Video Instance Segmentation, Jiale Cao, Yanwei Pang, Rao Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, and Ling Shao
Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, and Eric Xing
Slicing-Based Software-Defined Mobile Edge Computing in the Air, Jianhang Tang, Jiangtian Nie, Jun Zhao, Yi Zhou, Zehui Xiong, and Mohsen Guizani
SP2: A Second Order Stochastic Polyak Method, Shuang Li, William J. Swartworth, Martin Takac, Deanna Needell, and Robert M. Gower
Space-Air-Ground Integrated Network Resource Allocation Based on Service Function Chain, Peiying Zhang, Pan Yang, Neeraj Kumar, and Mohsen Guizani
Spatio-temporal relation modeling for few-shot action recognition, Anirudh Thatipelli, Sanath Narayan, Salman Hameed Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, and Bernard Ghanem
Special issue deep learning for multimedia healthcare, M. Shamim Hossain, Josu Bilbao, Diana P. Tobón, Ghulam Muhammad, and Abdulmotaleb Elsaddik
SR-DCSK Cooperative Communication System with Code Index Modulation: A New Design for 6G New Radios, Yi Fang, Wang Chen, Pingping Chen, Yiwei Tao, and Mohsen Guizani
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection, Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, and Mohsen Ali
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection, Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, and Mubarak Shah
STG2P: A two-stage pipeline model for intrusion detection based on improved LightGBM and K-means, Zhiqiang Zhang, Le Wang, Guangyao Chen, Zhaoquan Gu, Zhihong Tian, Xiaojiang Du, and Mohsen Guizani
Stochastic Bilevel Distributed Optimization over a Network, Hongchang Gao, Bin Gu, and My T. Thai
Stochastic Gradient Methods with Preconditioned Updates, Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, and Martin Takac
Structure-Aware Random Fourier Kernel for Graphs, Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, and Shangsong Liang
Structured latent embeddings for recognizing unseen classes in unseen domains, Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, and Ling Shao
Stylized Adversarial Defense, Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Fatih Porikli
SubOmiEmbed: Self-supervised representation learning of multi-omics data for cancer type classification, Sayed Hashim, Muhammad Ali, Karthik Nandakumar, and Mohammad Yaqub
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging, Naif Alkhunaizi, Dmitry Kamzolov, Martin Takac, and Karthik Nandakumar
Survey on Self-supervised Representation Learning Using Image Transformations, Muhammad Ali and Sayed Hashim
Sustainability of Healthcare Data Analysis IoT-Based Systems Using Deep Federated Learning, Haya Elayan, Moayad Aloqaily, and Mohsen Guizani
Synthesizing the Unseen for Zero-Shot Object Detection, Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman Khan, Syed Waqas Zamir, and Fahad Shahbaz Khan
Tensor pooling-driven instance segmentation framework for baggage threat recognition, Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, and Naoufel Werghi
Testability of Instrumental Variables in Linear non-Gaussian Acyclic Causal Models, Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, and Kun Zhang
Text generation with efficient (Soft) Q-learning, Hanlin Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, and Zhiting Hu
The Battlefront of Combating Misinformation and Coping with Media Bias, Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, and Ji Heng
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions, Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, and Mohsen Guizani
The Ninth Visual Object Tracking VOT2021 Challenge Results, Fahad Shahbaz Khan
The Power Of First-Order Smooth Optimization for Black-Box Non-Smooth Problems, Alexander V. Gasnikov., Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takáč, Pavel Dvurechensky, and Bin Gu
Throughput Guarantees for Multi-Cell Wireless Powered Communication Networks with Non-Orthogonal Multiple Access, Liang Huang, Runkai Nan, Kaikai Chi, Qiaozhi Hua, Keping Yu, Neeraj Kumar, and Mohsen Guizani
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
TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction, Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, and Mohammad Yaqub
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation, Haohan Wang, Zeyi Huang, Xindi Wu, and Eric P. Xing
Towards Blockchain-based Hierarchical Federated Learning for Cyber-Physical Systems, Moayad Aloqaily, Ismaeel Al Ridhawi, Fakhri Karray, and Mohsen Guizani
Towards Equal Opportunity Fairness through Adversarial Learning, Xudong Han, Timothy Baldwin, and Trevor Cohn
Towards Fairer Classifier via True Fairness Score Path, Bin Gu, Zhou Zhai, Xiang Li, and Heng Huang
Towards Federated Bayesian Network Structure Learning with Continuous Optimization, Ignavier Ng and Kun Zhang
Towards open world object detection, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, and Vineeth N. Balasubramanian
Towards partial supervision for generic object counting in natural scenes, Hisham Cholakkal, Guolei Sun, Salman Khan, Fahad Shahbaz Khan, Ling Shao, and Luc Van Gool
Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints, Zhengqing Gao, Huimin Wu, Martin Takac, and Bin Gu
Towards Principled Disentanglement for Domain Generalization, Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, and Eric P. Xing
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data, Dong Nanqing, Michael C. Kampffmeyer, Xiaodon Liang, Min Xu, Irina D. Voiculescu, and Eric Xing
Towards Secure IoT Networks in Healthcare Applications: A Game Theoretic Anti-Jamming Framework, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
Towards Smart City Security: Violence and Weaponized Violence Detection using DCNN, Toluwani Aremu, Li Zhiyuan, Reem Alameeri, Moayad Aloqaily, and Mohsen Guizani
Towards Visual Question Answering on Pathology Images, Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie
Trainable structure tensors for autonomous baggage threat detection under extreme occlusion, Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, and Naoufel Werghi
Transfer Reinforcement Learning Aided Distributed Network Slicing Optimization in Industrial IoT, Tainle Mai, Haipeng Yao, Ni Zhang, Wenji Ha, Dong Guo, and Mohsen Guizani
Transformers in Medical Imaging: A Survey, Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, and Huazhu Fu
Transformers in Remote Sensing: A Survey, Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, and Fahad Shahbaz Khan
Transformers in Vision: A Survey, Salman Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, and Mubarak Shah
TransformNet: Self-supervised representation learning through predicting geometric transformations, Hashim Sayed and Muhammad Ali
Triply Stochastic Gradient Method For Large-Scale Nonlinear Similar Unlabeled Classification, Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, and Heng Huang
Truncated Matrix Power Iteration for Differentiable DAG Learning, Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan M. Abbasnejad, Mingming Gong, Kun Zhang, and Javen Qinfeng Shi
UAV-based Multi-scale Features Fusion Attention for Fire Detection in Smart City Ecosystems, Tanveer Hussain, Hang Dai, Wail Gueaieb, Marco Sicklinger, and Giulia De Masi
UBnormal: New benchmark for supervised open-set video anomaly detection, Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, and Mubarak Shah
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection, Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhreddine (Fakhri) Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi
Understanding more about human and machine attention in deep neural networks, Qiuxia Lai, Salman Khan, Yongwei Nie, Hanqiu Sun, Jianbing Shen, and Ling Shao
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning, Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, and Eric Xing
Unsupervised anomaly instance segmentation for baggage threat recognition, Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, and Naoufel Werghi
Unsupervised Lexical Substitution with Decontextualised Embeddings, Takashi Wada, Timothy Baldwin, Yuji Matsumoto, and Jey Han Lau
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks, Arian Ahmadi, Omid Semiari, Mehdi Bennis, and Méroúane Debbah
Variational Continual Bayesian Meta-Learning, Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, and Emine Yilmaz
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer, Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, and Fahad Shahbaz Khan
Video transformer for deepfake detection with incremental learning, Sohail Ahmed Khan and Hang Dai
Vision Transformer Slimming: Multi-Dimension Searching In Continuous Optimization Space, Arnav Chevan, Zhiqiang Shen, Zhuang Liu, Kwangting Cheng, and Eric Xing
Visual Attention Methods in Deep Learning: An In-Depth Survey, Mohammed Hassanin, Anwar Saeed, Ibrahim Radwan, Fahad Shahbaz Khan, and Ajmal Mian
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey And Outlook, Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, and Jiri Matas
What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective, Zeyu Tang, Jiji Zhang, and Kun Zhang
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
When Optimization Meets Machine Learning: The Case of IRS-Assisted Wireless Networks, Shimin Gong, Jiaye Lin, Beichen Ding, Dusit Niyato, Dong In Kim, and Mohsen Guizani
Zero-shot object detection: joint recognition and localization of novel concepts, Shafin Rahman, Salman H. Khan, and Fatih Porikli