Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients, Hualin Zhang, Huan Xiong, Bin Gu
Bin Gu

Gradient-Free Method for Heavily Constrained Nonconvex Optimization, Wanli Shi, Hongchang Gao, Bin Gu
Bin Gu

Doubly Robust AUC Optimization against Noisy and Adversarial Samples, Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu
Bin Gu

A new large-scale learning algorithm for generalized additive models, Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang
Bin Gu

Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity, William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao Tong Yuan, Bin Gu
Bin Gu

On the Stability and Generalization of Triplet Learning, Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
Bin Gu

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning, Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang
Bin Gu

Self-Adaptive Perturbation Radii for Adversarial Training, Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu
Bin Gu

Efficient (Soft) Q-Learning for Text Generation with Limited Good Data, Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Eric P. Xing

AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness, Dacheng Li, Hongyi Wang, Eric Xing, Hao Zhang
Eric P. Xing

Masked Generative Adversarial Networks are Data-Efficient Generation Learners, Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric Xing
Eric P. Xing

Neural-symbolic interaction and co-evolving, Bowen Tan, Shibo Hao, Eric Xing, Zhiting Hu
Eric P. Xing

SDQ: Stochastic Differentiable Quantization with Mixed Precision, Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, Kwang Ting Cheng
Eric P. Xing

Federated Partially Supervised Learning With Limited Decentralized Medical Images, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric Xing
Eric P. Xing

Rare Gems: Finding Lottery Tickets at Initialization, Kartik Sreenivasan, Jy Yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric Xing, Kangwook Lee, Dimitris Papailiopoulos
Eric P. Xing

A Survey on Securing 6G Wireless Communications based Optimization Techniques, Ammar K. Abasi, Moayad Aloqaily, Bassem Ouni, Mohsen Guizani, Merouane Debbah, Fakhri Karray
Fakhreddine (Fakhri) Karray

A Hybrid Deep Learning Model for Human Activity Recognition and Fall Detection for the Elderly, Farah Kharrat, Wail Gueaieb, Fakhri Karray, Abdulmotaleb Elsaddik
Fakhreddine (Fakhri) Karray

Secure Federated Learning with Fully Homomorphic Encryption for IoT Communications, Neveen Mohammad Hijazi, Moayad Aloqaily, Mohsen Guizani, Bassem Ouni, Fakhri Karray
Fakhreddine (Fakhri) Karray

Enhanced Deep Learning Satellite-based Model for Yield Forecasting and Quality Assurance Using Metamorphic Testing, Islam Nasr, Lobna Nassar, Fakhri Karray
Fakhreddine (Fakhri) Karray

TinyHAR: Benchmarking Human Activity Recognition Systems in Resource Constrained Devices, Sheikh Nooruddin, Md Milon Islam, Fakhri Karray
Fakhreddine (Fakhri) Karray

Joint Flood Risks in the Grand River Watershed, Poornima Unnikrishnan, Kumaraswamy Ponnambalam, Nirupama Agrawal, Fakhri Karray
Fakhreddine (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, Ghulam Muhammad
Fakhreddine (Fakhri) Karray

Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation, Massa Baali, Ibrahim Almakky, Shady Shehata, Fakhri Karray
Fakhreddine (Fakhri) Karray

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, Fakhreddine Karray
Fakhreddine (Fakhri) Karray

Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection, Peng Zheng, Jie Qin, Shuo Wang, Tian Zhu Xiang, Huan Xiong
Huan Xiong

On the Number of Linear Regions of Convolutional Neural Networks, Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
Huan Xiong

Action-Sufficient State Representation Learning for Control with Structural Constraints, Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
Kun Zhang

Ada-FFL: Adaptive computing fairness federated learning, Yue Cong, Jing Qiu, Kun Zhang, Zhongyang Fang, Chengliang Gao, Shen Su, Zhihong Tian
Kun Zhang

ADARL: WHAT, WHERE, AND HOW TO ADAPT IN TRANSFER REINFORCEMENT LEARNING, Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
Kun Zhang

A New Minimality Condition for Boolean Accounts of Causal Regularities, Jiji Zhang, Kun Zhang
Kun Zhang

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models, Haoyue Dai, Peter Spirtes, Kun Zhang
Kun Zhang

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information, Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
Kun Zhang

Factored Adaptation for Non-stationary Reinforcement Learning, Fan Feng, Biwei Huang, Kun Zhang, Sara Magliacane
Kun Zhang

Conditional Contrastive Learning with Kernel, Yao Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis Philippe Morency, Ruslan Salakhutdinov
Kun Zhang

Latent Hierarchical Causal Structure Discovery with Rank Constraints, Biwei Huang, Charles Low, Feng Xie, Clark Glymour, Kun Zhang
Kun Zhang

Partial Identifiability for Domain Adaptation, Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
Kun Zhang

Knee Injury Diagnosis with Data and Feature Fusion-Enhanced Multi-Label Classification Network, Hanin Al Ghothani, Kun Zhang
Kun Zhang

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models, Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell
Kun Zhang

Learning Temporally Causal Latent Processes from General Temporal Data, Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
Kun Zhang

Graph Neural Networks, Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Le Song
Le Song

Molecule Optimization by Explainable Evolution, Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
Le Song

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands, Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takac
Martin Takac

Regularization of the Policy Updates for Stabilizing Mean Field Games, Talal Algumaei, Ruben Solozabal, Reda Alami, Hakim Hacid, Merouane Debbah, Martin Takáč
Martin Takac

A Damped Newton Method Achieves Global O(1/K²) and Local Quadratic Convergence Rate, Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander Gasnikov, Peter Richtárik, Martin Takáč
Martin Takac

On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling, Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takac
Martin Takac

Regularization of the Policy Updates for Stabilizing Mean Field Games, Talal Algumaei, Ruben Solozabal, Reda Alami, Hakim Hacid, Merouane Debbah, Martin Takáč
Mérouane Debbah

Self-Sovereign Identity for Trust and Interoperability in the Metaverse, Siem Ghirmai, Daniel Mebrahtom, Moayad Aloqaily, Mohsen Guizani, Merouane Debbah
Mérouane Debbah

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models, Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell
Mingming Gong

Computation Offloading and Resource Allocation Based on DT-MEC-Assisted Federated Learning Framework, Yejun He, Mengna Yang, Zhou He, Mohsen Guizani
Mohsen Guizani

Blockchain and Multi-Agent Learning Empowered Incentive IRS Resource Scheduling for Intelligent Reconfigurable Networks, Qianqian Pan, Jun Wu, Jianhua Li, Wu Yang, Mohsen Guizani
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, Mohsen Guizani
Mohsen Guizani

HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G, Abegaz Mohammed Seid, Hayla Nahom Abishu, Aiman Erbad, Mohsen Guizani
Mohsen Guizani

Edge-Assisted Hierarchical Batch Authentication Scheme for VANETs, Chengzhi Yan, Chen Wang, Jian Shen, Kapal Dev, Mohsen Guizani, Weizheng Wang
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, Mohsen Guizani
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, Mohsen Guizani
Mohsen Guizani

Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things, Kai Li, Xin Yuan, Jingjing Zheng, Wei Ni, Mohsen Guizani
Mohsen Guizani

Low-latency Scheduling Approach for Dependent Tasks in MEC-enabled 5G Vehicular Networks, Zhiying Wang, Gang Sun, Hanyue Su, Hongfang Yu, Bo Lei, Mohsen Guizani
Mohsen Guizani

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, Ehab R. Mohamed
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, Sheng Wu
Mohsen Guizani

Federated Learning and NFT-Based Privacy-Preserving Medical Data Sharing Scheme for Intelligent Diagnosis in Smart Healthcare, Siva Sai, Vikas Hassija, Vinay Chamola, Mohsen Guizani
Mohsen Guizani

Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks, Mohammed Omar, Ahmed Badawy, Khalid Abulsaud, Elias Yaacoub, Mohsen Guizani
Mohsen Guizani

Energy-Efficient Beam Training for RIS Assisted UAV Communications in Emergency Rescue Scenarios, Sihui Shang, Dongyang Xu, Pinyi Ren, Keping Yu, Mohsen Guizani
Mohsen Guizani

A Survey on Securing 6G Wireless Communications based Optimization Techniques, Ammar K. Abasi, Moayad Aloqaily, Bassem Ouni, Mohsen Guizani, Merouane Debbah, Fakhri Karray
Mohsen Guizani

Toward Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities, Kai Li, Billy Pik Lik Lau, Xin Yuan, Wei Ni, Mohsen Guizani, Chau Yuen
Mohsen Guizani

Self-Sovereign Identity for Trust and Interoperability in the Metaverse, Siem Ghirmai, Daniel Mebrahtom, Moayad Aloqaily, Mohsen Guizani, Merouane Debbah
Mohsen Guizani

Semi-Asynchronous Model Design for Federated Learning in Mobile Edge Networks, Jinfeng Zhang, Wei Liu, Yejun He, Zhou He, Mohsen Guizani
Mohsen Guizani

Optimization of CNN using modified Honey Badger Algorithm for Sleep Apnea detection, Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani
Mohsen Guizani

Resource Orchestration and Allocation of E2E Slices in Softwarized UAVs-Assisted 6G Terrestrial Networks, Haotong Cao, Neeraj Kumar, Longxiang Yang, Mohsen Guizani, F. Richard Yu
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, Mohsen Guizani
Mohsen Guizani

Multi-UAV-Assisted Federated Learning for Energy-Aware Distributed Edge Training, Jianhang Tang, Jiangtian Nie, Yang Zhang, Zehui Xiong, Wenchao Jiang, Mohsen Guizani
Mohsen Guizani

Secure Federated Learning with Fully Homomorphic Encryption for IoT Communications, Neveen Mohammad Hijazi, Moayad Aloqaily, Mohsen Guizani, Bassem Ouni, Fakhri Karray
Mohsen Guizani

Matrix Reconstruction Algorithm-Assisted Multi-Carrier DCSK Scheme: An Effective Solution for Frequency-Selective Fading Channel, Yiwei Tao, Yi Fang, Pingping Chen, Huan Ma, Mohsen Guizani
Mohsen Guizani

Unknown Threats Detection Methods of Smart Contracts, Daojing He, Ke Ding, Sammy Chan, Mohsen Guizani
Mohsen Guizani

Why do we not stand up to misinformation? Factors influencing the likelihood of challenging misinformation on social media and the role of demographics, Selin Gurgun, Deniz Cemiloglu, Emily Arden Close, Keith Phalp, Preslav Nakov, Raian Ali
Natural Language Processing Faculty Publications

Considering the IMPACT framework to understand the AI-well-being-complex from an interdisciplinary perspective, Christian Montag, Preslav Nakov, Raian Ali
Natural Language Processing Faculty Publications

Using natural language processing and patient journey clustering for temporal phenotyping of antimicrobial therapies for cat bite abscesses, Brian Hur, Karin M. Verspoor, Timothy Baldwin, Laura Y. Hardefeldt, Caitlin Pfeiffer, Caroline Mansfield, Riati Scarborough, James R. Gilkerson
Natural Language Processing Faculty Publications

A Joint Communication and Learning Framework for Hierarchical Split Federated Learning, Latif U. Khan, Mohsen Guizani, Ala Al-Fuqaha, Choong Seon Hong, Dusit Niyato, Zhu Han
Machine Learning Faculty Publications

Evaluation and Measurement, Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén
Natural Language Processing Faculty Publications

Specific Challenges of Variation and Text Types, Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén
Natural Language Processing Faculty Publications

Features and Methods, Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén
Natural Language Processing Faculty Publications

Applications and Related Tasks, Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén
Natural Language Processing Faculty Publications

Large Scale, Multi-domain Language Identification, Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén
Natural Language Processing Faculty Publications

Conclusion and Future Directions, Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén
Natural Language Processing Faculty Publications

Introduction to Language Identification, Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén
Natural Language Processing Faculty Publications

Challenging others when posting misinformation: a UK vs. Arab cross-cultural comparison on the perception of negative consequences and injunctive norms, Muaadh Noman, Selin Gurgun, Keith Phalp, Preslav Nakov, Raian Ali
Natural Language Processing Faculty Publications

A multi-resolution fusion approach for human activity recognition from video data in tiny edge devices, Sheikh Nooruddin, Md Milon Islam, Fakhri Karray, Ghulam Muhammad
Machine Learning Faculty Publications

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, Mohsen Guizani
Machine Learning Faculty Publications

Toward Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities, Kai Li, Billy Pik Lik Lau, Xin Yuan, Wei Ni, Mohsen Guizani, Chau Yuen
Machine Learning Faculty Publications

Reinforcing Industry 4.0 with Digital Twins and Blockchain-assisted Federated Learning, Moayad Aloqaily, Ismaeel Al Ridhawi, Salil Kanhere
Machine Learning Faculty Publications

Optimization of CNN using modified Honey Badger Algorithm for Sleep Apnea detection, Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani
Machine Learning Faculty Publications

Preface: Special issue on NLP approaches to offensive content online, Marcos Zampieri, Isabelle Augenstein, Siddharth Krishnan, Joshua Melton, Preslav Nakov
Natural Language Processing Faculty Publications

What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text, Biaoyan Fang, Timothy Baldwin, Karin Verspoor
Timothy Baldwin

Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study, Siyang Wang, Simon Šuster, Timothy Baldwin, Karin Verspoor
Timothy Baldwin

Analysis of predictive performance and reliability of classifiers for quality assessment of medical evidence revealed important variation by medical area, Simon Šuster, Timothy Baldwin, Karin Verspoor
Timothy Baldwin

Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis, Martin Saint-Jalmes, Victor Fedyashov, Daniel Beck, Timothy Baldwin, Noel G. Faux, Pierrick Bourgeat, Jurgen Fripp, Colin L. Masters, Benjamin Goudey
Timothy Baldwin

On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study, Chunpeng Ma, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, Timothy Baldwin
Timothy Baldwin

Noisy Label Regularisation for Textual Regression, Yuxia Wang, Timothy Baldwin, Karin Verspoor
Timothy Baldwin

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network, Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov
Maxim Panov

OffensEval 2023: Offensive language identification in the age of Large Language Models, Marcos Zampieri, Sara Rosenthal, Preslav Nakov, Alphaeus Dmonte, Tharindu Ranasinghe
Natural Language Processing Faculty Publications

ArTST: Arabic Text and Speech Transformer, Hawau Olamide Toyin, Amirbek Djanibekov, Ajinkya Kulkarni, Hanan Al Darmaki
Hanan Al Darmaki

Yet Another Model for Arabic Dialect Identification, Ajinkya Kulkarni, Hanan Al Darmaki
Hanan Al Darmaki

Adapting the adapters for code-switching in multilingual ASR, Atharva Kulkarni, Ajinkya Kulkarni, Miguel Couceiro, Hanan Al Darmaki
Hanan Al Darmaki

Handling Realistic Label Noise in BERT Text Classification, Maha Tufail Agro, Hanan Al Darmaki
Hanan Al Darmaki

Adapting the adapters for code-switching in multilingual ASR, Atharva Kulkarni, Ajinkya Kulkarni, Miguel Couceiro, Hanan Al Darmaki
Natural Language Processing Faculty Publications

Yet Another Model for Arabic Dialect Identification, Ajinkya Kulkarni, Hanan Al Darmaki
Natural Language Processing Faculty Publications

Text augmentation for semantic frame induction and parsing, Saba Anwar, Artem Shelmanov, Nikolay Arefyev, Alexander Panchenko, Chris Biemann
Natural Language Processing Faculty Publications

Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications, Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
Natural Language Processing Faculty Publications

ArTST: Arabic Text and Speech Transformer, Hawau Olamide Toyin, Amirbek Djanibekov, Ajinkya Kulkarni, Hanan Al Darmaki
Natural Language Processing Faculty Publications

Node Connection Strength Matrix-Based Graph Convolution Network for Traffic Flow Prediction, Jian Chen, Wei Wang, Keping Yu, Xiping Hu, Ming Cai, Mohsen Guizani
Mohsen Guizani

Grammatical Error Correction: A Survey of the State of the Art, Christopher Bryant, Zheng Yuan, Muhammad Reza Qorib, Hannan Cao, Hwee Tou Ng, Ted Briscoe
Natural Language Processing Faculty Publications

Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection, Momchil Hardalov, Ivan Koychev, Preslav Nakov
Natural Language Processing Faculty Publications

Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles, Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov
Natural Language Processing Faculty Publications

Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness of Multimodal and Multigenre Content, Firoj Alam, Alberto Barrón-Cedeño, Gullal S. Cheema, Gautam Kishore Shahi, Sherzod Hakimov, Maram Hasanain, Chengkai Li, Rubén Míguez, Hamdy Mubarak, Wajdi Zaghouani, Preslav Nakov
Natural Language Processing Faculty Publications

Overview of GUA-SPA at IberLEF 2023: Guarani-Spanish Code Switching Analysis, Luis Chiruzzo, Marvin Agüero-Torales, Gustavo Giménez-Lugo, Aldo Alvarez, Yliana Rodríguez, Santiago Góngora, Thamar Solorio
Natural Language Processing Faculty Publications

Knee Injury Diagnosis with Data and Feature Fusion-Enhanced Multi-Label Classification Network, Hanin Al Ghothani, Kun Zhang
Machine Learning Faculty Publications

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, Ehab R. Mohamed
Machine Learning Faculty Publications

Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis, Martin Saint-Jalmes, Victor Fedyashov, Daniel Beck, Timothy Baldwin, Noel G. Faux, Pierrick Bourgeat, Jurgen Fripp, Colin L. Masters, Benjamin Goudey
Natural Language Processing Faculty Publications

Intent-driven Closed-Loop Control and Management Framework for 6G Open RAN, Jingwen Zhang, Chungang Yang, Ru Dong, Yao Wang, Alagan Anpalagan, Qiang Ni, Mohsen Guizani
Machine Learning Faculty Publications

Blockchain and Multi-Agent Learning Empowered Incentive IRS Resource Scheduling for Intelligent Reconfigurable Networks, Qianqian Pan, Jun Wu, Jianhua Li, Wu Yang, Mohsen Guizani
Machine Learning Faculty Publications

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, Fakhreddine Karray
Machine Learning Faculty Publications

Overview of the CLEF-2023 CheckThat! Lab Task 3 on Political Bias of News Articles and News Media, Giovanni Da San Martino, Firoj Alam, Maram Hasanain, Rabindra Nath Nandi, Dilshod Azizov, Preslav Nakov, Tamer Elsayed, Dilshod Azizov, Tommaso Caselli, Gullal S. Cheema, Fatima Haouari, Maram Hasanain, Mucahid Kutlu, Chengkai Li, Federico Ruggeri, Julia Maria Struß, Wajdi Zaghouani
Natural Language Processing Faculty Publications

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, Jingjie Wang
Machine Learning Faculty Publications

Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source, Alberto Barrón-Cedeño, Firoj Alam, Andrea Galassi, Giovanni Da San Martino, Preslav Nakov, Tamer Elsayed, Dilshod Azizov, Tommaso Caselli, Gullal S. Cheema, Fatima Haouari, Maram Hasanain, Mucahid Kutlu, Chengkai Li, Federico Ruggeri, Julia Maria Struß, Wajdi Zaghouani
Natural Language Processing Faculty Publications

Bare-Bones Based Salp Swarm Algorithm for Text Document Clustering, Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Ghazi Al-Naymat, Kamran Arshad, Sharif Naser Makhadmeh
Machine Learning Faculty Publications

Ada-FFL: Adaptive computing fairness federated learning, Yue Cong, Jing Qiu, Kun Zhang, Zhongyang Fang, Chengliang Gao, Shen Su, Zhihong Tian
Machine Learning Faculty Publications

Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations, Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, Shangsong Liang
Machine Learning Faculty Publications

Overview of the CLEF-2023 CheckThat! Lab Task 4 on Factuality of Reporting of News Media, Preslav Nakov, Firoj Alam, Giovanni Da San Martino, Maram Hasanain, Dilshod Azizov, Rabindra Nath Nandi, Panayotov Panayot
Natural Language Processing Faculty Publications

NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links, Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Igor Rozhkov, Artem Shelmanov, Elena Tutubalina, Alexey Yandutov
Natural Language Processing Faculty Publications

Edge-Assisted Hierarchical Batch Authentication Scheme for VANETs, Chengzhi Yan, Chen Wang, Jian Shen, Kapal Dev, Mohsen Guizani, Weizheng Wang
Machine Learning Faculty Publications

S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion, Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma
Machine Learning Faculty Publications

On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling, Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takac
Machine Learning Faculty Publications

Matrix Reconstruction Algorithm-Assisted Multi-Carrier DCSK Scheme: An Effective Solution for Frequency-Selective Fading Channel, Yiwei Tao, Yi Fang, Pingping Chen, Huan Ma, Mohsen Guizani
Machine Learning Faculty Publications

FOOCTTS: Generating Arabic Speech with Acoustic Environment for Football Commentator, Massa Baali, Ahmed Ali
Machine Learning Faculty Publications

Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation, Massa Baali, Ibrahim Almakky, Shady Shehata, Fakhri Karray
Machine Learning Faculty Publications

On the Robustness of Arabic Speech Dialect Identification, Peter Sullivan, Abdel Rahim Elmadany, Muhammad Abdul-Mageed
Natural Language Processing Faculty Publications

The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features, Liao Qu, Xianwei Zou, Xiang Li, Yandong Wen, Rita Singh, Bhiksha Raj
Natural Language Processing Faculty Publications

Diacritic Recognition Performance in Arabic ASR, Hanan Aldarmaki, Ahmad Ghannam
Natural Language Processing Faculty Publications

AI-based UAV navigation framework with digital twin technology for mobile target visitation, Abdulrahman Soliman, Abdulla Al-Ali, Amr Mohamed, Hend Gedawy, Daniel Izham, Mohamad Bahri, Aiman Erbad, Mohsen Guizani
Machine Learning Faculty Publications

Enhanced Deep Learning Satellite-based Model for Yield Forecasting and Quality Assurance Using Metamorphic Testing, Islam Nasr, Lobna Nassar, Fakhri Karray
Machine Learning Faculty Publications

Self-Adaptive Perturbation Radii for Adversarial Training, Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu
Machine Learning Faculty Publications

Secure Federated Learning with Fully Homomorphic Encryption for IoT Communications, Neveen Mohammad Hijazi, Moayad Aloqaily, Mohsen Guizani, Bassem Ouni, Fakhri Karray
Machine Learning Faculty Publications

Neural-symbolic interaction and co-evolving, Bowen Tan, Shibo Hao, Eric Xing, Zhiting Hu
Machine Learning Faculty Publications

Leveraging Relational Graph Neural Network for Transductive Model Ensemble, Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
Machine Learning Faculty Publications

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information, Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
Machine Learning Faculty Publications

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, Mohsen Guizani
Machine Learning Faculty Publications

Doubly Robust AUC Optimization against Noisy and Adversarial Samples, Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu
Machine Learning Faculty Publications

Energy-Efficient Beam Training for RIS Assisted UAV Communications in Emergency Rescue Scenarios, Sihui Shang, Dongyang Xu, Pinyi Ren, Keping Yu, Mohsen Guizani
Machine Learning Faculty Publications

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, Ruiqi Liu
Machine Learning Faculty Publications

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands, Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takac
Machine Learning Faculty Publications

N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition, Bashar Talafha, Abdul Waheed, Muhammad Abdul-Mageed
Natural Language Processing Faculty Publications

Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks, Mohammed Omar, Ahmed Badawy, Khalid Abulsaud, Elias Yaacoub, Mohsen Guizani
Machine Learning Faculty Publications

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, Sheng Wu
Machine Learning Faculty Publications

Federated Learning and NFT-Based Privacy-Preserving Medical Data Sharing Scheme for Intelligent Diagnosis in Smart Healthcare, Siva Sai, Vikas Hassija, Vinay Chamola, Mohsen Guizani
Machine Learning Faculty Publications

Task Offloading Using Multi-Armed Bandit Optimization in Autonomous Mobile Robots, Anis Ur Rahman, Asad Waqar Malik, Hasan Ali Khattak, Moayad Aloqaily
Machine Learning Faculty Publications

ILBPS: An Integrated Optimization Approach Based on Adaptive Load-Balancing and Heuristic Path Selection in SDN, Zongyu Ye, Gang Sun, Mohsen Guizani
Machine Learning Faculty Publications

Low-latency Scheduling Approach for Dependent Tasks in MEC-enabled 5G Vehicular Networks, Zhiying Wang, Gang Sun, Hanyue Su, Hongfang Yu, Bo Lei, Mohsen Guizani
Machine Learning Faculty Publications

Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing and Persuasion Techniques, Jakub Piskorski, Nicolas Stefanovitch, Nikolaos Nikolaidis, Giovanni Da San Martino, Preslav Nakov
Natural Language Processing Faculty Publications

SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup, Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, Preslav Nakov
Natural Language Processing Faculty Publications

Team TheSyllogist at SemEval-2023 Task 3: Language-Agnostic Framing Detection in Multi-Lingual Online News: A Zero-Shot Transfer Approach, Osama Mohammed Afzal, Preslav Nakov
Natural Language Processing Faculty Publications

BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers – Does Order Matter?, Tarek Mahmoud, Preslav Nakov
Natural Language Processing Faculty Publications

Linear Classifier: An Often-Forgotten Baseline for Text Classification, Yu Chen Lin, Si An Chen, Jie Jyun Liu, Chih Jen Lin
Machine Learning Faculty Publications

Federated Partially Supervised Learning With Limited Decentralized Medical Images, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric Xing
Machine Learning Faculty Publications

Analysis of predictive performance and reliability of classifiers for quality assessment of medical evidence revealed important variation by medical area, Simon Šuster, Timothy Baldwin, Karin Verspoor
Natural Language Processing Faculty Publications

Stochastic Geometry-based Physical Layer Security Performance Analysis of a Hybrid NOMA-PDM based IoT System, Hela Chamkhia, Aiman Erbad, Amr Mohamed, Ahmed Refaey Hussein, Abdullah Al-Ali, Mohsen Guizani
Machine Learning Faculty Publications

A Survey on Applications of Cache-Aided NOMA, Dipen Bepari, Soumen Mondal, Aniruddha Chandra, Rajeev Shukla, Yuanwei Liu, Mohsen Guizani, Arumugam Nallanathan
Machine Learning Faculty Publications

A Hybrid Deep Learning Model for Human Activity Recognition and Fall Detection for the Elderly, Farah Kharrat, Wail Gueaieb, Fakhri Karray, Abdulmotaleb Elsaddik
Machine Learning Faculty Publications

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, Ehab R. Mohamed
Machine Learning Faculty Publications

Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks, Dmitry Pasechnyuk, Anton Prazdnichnykh, Mikhail Evtikhiev, Timofey Bryksin
Machine Learning Faculty Publications

Enhancing Video-based Learning Using Knowledge Tracing: Personalizing Students’ Learning Experience with ORBITS, Shady Shehata, David Santandreu, Philip Purnell, Mark Thompson
Natural Language Processing Faculty Publications

Explainable AI and Blockchain for Metaverse: A Security, and Privacy Perspective, Prabhat Kumar, Randhir Kumar, Moayad Aloqaily, A. K.M.N. Islam
Machine Learning Faculty Publications

A Detailed Analysis of Qualitative and Quantitative Factors in Realization of 6G Communication, Mohammad Alja'afreh, Ali Karime, Sahel Alouneh, Abdulmotaleb El Saddik
Abdulmotaleb El Saddik

Incremental learning for transductive support vector machine, Haiyan Chen, Ying Yu, Yizhen Jia, Bin Gu
Bin Gu

Kernel Mixed Model for Transcriptome Association Study, Haohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu
Eric P. Xing

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models, Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu
Eric P. Xing

Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features, Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing
Eric P. Xing

SAT: Scale-Augmented Transformer for Person Search, Mustansar Fiaz, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan
Fahad Shahbaz Khan

Digital twin for healthcare immersive services: fundamentals, architectures, and open issues, Moayad Aloqaily, Ouns Bouachir, Fakhri Karray
Fakhreddine (Fakhri) Karray

Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things, Md Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad
Fakhreddine (Fakhri) Karray

A Two-Stage Strategy for UAV-enabled Wireless Power Transfer in Unknown Environments, Junling Shi, Peiyu Cong, Liang Zhao, Xingwei Wang, Shaohua Wan, Mohsen Guizani
Mohsen Guizani

A PDDQNLP Algorithm for Energy Efficient Computation Offloading in UAV-assisted MEC, Na Lin, Hailun Tang, Liang Zhao, Shaohua Wan, Ammar Hawbani, Mohsen Guizani
Mohsen Guizani

A Lightweight Authentication and Key Exchange Protocol with Anonymity for IoT, Daojing He, Yanchang Cai, Shanshan Zhu, Ziming Zhao, Sammy Chan, Mohsen Guizani
Mohsen Guizani

Analyzing the Impact of Machine Learning on Cancer Treatments, Victor Chang, Gunji Srilikhita, Qianwen Ariel Xu, M. A. Hossain, Mohsen Guizani
Mohsen Guizani

Blockchain-Based Decentralized and Lightweight Anonymous Authentication for Federated Learning, Mochan Fan, Zhipeng Zhang, Zonghang Li, Gang Sun, Hongfang Yu, Mohsen Guizani
Mohsen Guizani

AI-based UAV navigation framework with digital twin technology for mobile target visitation, Abdulrahman Soliman, Abdulla Al-Ali, Amr Mohamed, Hend Gedawy, Daniel Izham, Mohamad Bahri, Aiman Erbad, Mohsen Guizani
Mohsen Guizani

Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-agent Deep Reinforcement Learning Approach, Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohammed Abdallah, Mohsen Guizani
Mohsen Guizani

Detection of Vulnerabilities of Blockchain Smart Contracts, Daojing He, Rui Wu, Xinji Li, Sammy Chan, Mohsen Guizani
Mohsen Guizani

Dynamic and Efficient Spectrum Utilization for 6G With THz, mmWave, and RF Band, Preksha Jain, Akhil Gupta, Neeraj Kumar, Mohsen Guizani
Mohsen Guizani

Editorial: Deep reinforcement learning for next-generation IoT networks, Sahil Garg, Jia Hu, Giancarlo Fortino, Laurence T. Yang, Mohsen Guizani, Xianjun Deng, Danda B. Rawat
Mohsen Guizani

Cross-Modal Object Detection via UAV, Ang Li, Shouxiang Ni, Yanan Chen, Jianxin Chen, Xin Wei, Liang Zhou, Mohsen Guizani
Mohsen Guizani

Coverage Optimization Based on Airborne Fog Computing for Internet of Medical Things, Chaogang Tang, Chunsheng Zhu, Mohsen Guizani
Mohsen Guizani

Cross-silo heterogeneous model federated multitask learning, Xingjian Cao, Zonghang Li, Gang Sun, Hongfang Yu, Mohsen Guizani
Mohsen Guizani

Computation Offloading and Resource Allocation in NOMA-MEC: A Deep Reinforcement Learning Approach, Ce Shang, Yan Sun, Hong Luo, Mohsen Guizani
Mohsen Guizani

Collaborative Byzantine Resilient Federated Learning, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer M.S. Khattab, Mohsen Guizani
Mohsen Guizani

VNF and CNF Placement in 5G: Recent Advances and Future Trends, Wissal Attaoui, Essaid Sabir, Halima Elbiaze, Mohsen Guizani
Mohsen Guizani

Modal-aware Resource Allocation for Cross-modal Collaborative Communication in IIoT, Mingkai Chen, Lindong Zhao, Jianxin Chen, Xin Wei, Mohsen Guizani
Mohsen Guizani

Three-Stage Stackelberg Game Enabled Clustered Federated Learning in Heterogeneous UAV Swarms, Wenji He, Haipeng Yao, Tianle Mai, Fu Wang, Mohsen Guizani
Mohsen Guizani

Wave Height Prediction Suitable for Maritime Transportation Based on Green Ocean of Things, Ranran Lou, Zhihan Lv, Mohsen Guizani
Mohsen Guizani

Intelligent and Robust UAV-Aided Multiuser RIS Communication Technique With Jittering UAV and Imperfect Hardware Constraints, Abuzar B.M. Adam, Xiaoyu Wan, Mohammed A.M. Elhassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Neeraj Kumar, Mohsen Guizani
Mohsen Guizani

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, Mohsen Guizani
Mohsen Guizani

Fairness-Based 3D Multi-UAV Trajectory Optimization in Multi-UAV-Assisted MEC System, Yejun He, Youhui Gan, Haixia Cui, Mohsen Guizani
Mohsen Guizani

Energy-Aware Blockchain and Federated Learning-Supported Vehicular Networks, Moayad Aloqaily, Ismaeel Al Ridhawi, Mohsen Guizani
Mohsen Guizani

Energy Efficiency Maximization of Backscatter-Assisted Wireless-Powered MEC With User Cooperation, Yejun He, Xinying Wu, Zhou He, Mohsen Guizani
Mohsen Guizani

SAT: Scale-Augmented Transformer for Person Search, Mustansar Fiaz, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan
Hisham Cholakkal

Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features, Gokul Karthik Kumar, Karthik Nandakumar
Karthik Nandakumar

A Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features, Rouqaiah Al-Refai, Karthik Nandakumar
Karthik Nandakumar

Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery, Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan
Kun Zhang

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation, Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
Kun Zhang

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint, Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao
Kun Zhang

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, Kun Zhang
Kun Zhang

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select, Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
Le Song

On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks, Minsu Kim, Walid Saad, Mohammad Mozaffari, Merouane Debbah
Mérouane Debbah

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint, Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao
Mingming Gong

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation, Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
Mingming Gong

SAT: Scale-Augmented Transformer for Person Search, Mustansar Fiaz, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan
Rao Muhammad Anwer

Cascaded structure tensor for robust baggage threat detection, Taimur Hassan, Samet Akcay, Bilal Hassan, Mohammed Bennamoun, Salman Khan, Jorge Dias, Naoufel Werghi
Salman H. Khan

Stochastic distributed learning with gradient quantization and double-variance reduction, Samuel Horváth, Dmitry Kovalev, Konstantin Mishchenko, Peter Richtárik, Sebastian Stich
Samuel Horváth

Cross-Temporal Snapshot Alignment for Dynamic Networks, Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
Shangsong Liang

Enhancing Conversational Recommendation Systems with Representation Fusion, Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Shangsong Liang

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network, Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Shangsong Liang

Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey, Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao
Shijian Lu

Stereo Neural Vernier Caliper, Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang Ting Cheng
Zhiqiang Shen

Resource Orchestration and Allocation of E2E Slices in Softwarized UAVs-Assisted 6G Terrestrial Networks, Haotong Cao, Neeraj Kumar, Longxiang Yang, Mohsen Guizani, F. Richard Yu
Machine Learning Faculty Publications

Securing Fog Computing-based Industry 4.0 Communication Using Authenticated Key Agreement Scheme, Amit Kumar Mishra, Mohammad Wazid, D. P. Singh, Ashok Kumar Das, Mohsen Guizani
Machine Learning Faculty Publications

HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G, Abegaz Mohammed Seid, Hayla Nahom Abishu, Aiman Erbad, Mohsen Guizani
Machine Learning Faculty Publications

Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things, Kai Li, Xin Yuan, Jingjing Zheng, Wei Ni, Mohsen Guizani
Machine Learning Faculty Publications

A Survey on Securing 6G Wireless Communications based Optimization Techniques, Ammar K. Abasi, Moayad Aloqaily, Bassem Ouni, Mohsen Guizani, Merouane Debbah, Fakhri Karray
Machine Learning Faculty Publications

Understanding political polarization using language models: A dataset and method, Samiran Gode, Supreeth Bare, Bhiksha Raj, Hyungon Yoo
Natural Language Processing Faculty Publications

Multi-UAV-Assisted Federated Learning for Energy-Aware Distributed Edge Training, Jianhang Tang, Jiangtian Nie, Yang Zhang, Zehui Xiong, Wenchao Jiang, Mohsen Guizani
Machine Learning Faculty Publications

Semi-Asynchronous Model Design for Federated Learning in Mobile Edge Networks, Jinfeng Zhang, Wei Liu, Yejun He, Zhou He, Mohsen Guizani
Machine Learning Faculty Publications

Computation Offloading and Resource Allocation Based on DT-MEC-Assisted Federated Learning Framework, Yejun He, Mengna Yang, Zhou He, Mohsen Guizani
Machine Learning Faculty Publications

Self-Sovereign Identity for Trust and Interoperability in the Metaverse, Siem Ghirmai, Daniel Mebrahtom, Moayad Aloqaily, Mohsen Guizani, Merouane Debbah
Machine Learning Faculty Publications

Unknown Threats Detection Methods of Smart Contracts, Daojing He, Ke Ding, Sammy Chan, Mohsen Guizani
Machine Learning Faculty Publications

On Self-Supervised Learning of Vision Transformers for Fingerprint Presentation Attack Detection, Maryam Nadeem
Student Publications

Domain Adaptive Imitation Learning for Self Driving Environments, Eman Hisham Zaki Al Suradi
Student Publications

Machine Learning Multimodality Fusion for Antimicrobial Resistance Prediction Using Electronic Health Records, Shahad Emad Mohamad Hardan
Student Publications

Stable Learning In Mean Field Games by Regularization of The Policy Updates, Talal Abdullah Fadhl Algumaei
Student Publications

The Impact of Model Architecture on the Transferability of Adversarial Attacks, Farha Salem Khamis Albreiki
Student Publications

Iterative Video Segmentation Framework and Benchmark Using Minimal User Annotations, Ariana Michelle Bermudez Venegas
Student Publications

A Deep Neural Network for Oxidative Coupling of Methane Trained on High Throughput Experimental Data, Klea Ziu
Student Publications

Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses: An NLP Parser, Ashraf Haddad
Student Publications

Continual Casual Representation Learning, Boyang Sun
Student Publications

3D Human Pose Estimation Under Occlusions and Partial Views, Maksat Kengeskanov
Student Publications

From Limitations to Innovations: A Deep Dive into Multimodal Weakly Supervised Violence Detection, Younes Balah
Student Publications

Training Free Distillation for Efficient Action Recognition, Yu Kang Wong
Student Publications

Federated Reinforcement Learning Approach for Smart Microgrids Control, Roberto Alejandro Gutierrez Guillen
Student Publications

On Preconditioning Polyak Step-Size and its Variants, Farshed Abdukhakimov
Student Publications

DC-Net: Divide-and-Conquer for Salient Object Detection, Jiayi Zhu
Student Publications

Omics-Driven Cancer Driver Gene Prediction with Enhanced Graph Convolutional Networks, Mugariya Farooq
Student Publications

Optimizing Industrial Systems with Machine Learning Anomaly Detection, Shaikh Khalid Khalifa Mohamed Khalid Al Nahyan
Student Publications

Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation, Zunhao Zhang
Student Publications

Automating Labeling of Fetal Ultrasound Views Using Machine Learning, Hussain Alasmawi
Student Publications

Medical Image Segmentation with Noisy Labels, Aigerim Zhumabayeva
Student Publications

Secure Image Provenance: Blockchain-Based Solution for Image Forgery and Similarity, Sharim Jamal
Student Publications

BOsampler: a Plug-and-play Module for Stochastic Human Trajectory Sampling Promoting, Zhenhao Chen
Student Publications

Improving Identity Consistency for Neural Head Reeanactment, Steven Phong Hoang
Student Publications

Towards a Computer Vision-based Approach for Digital Twin Implementation, Miriam Cristofoletti
Student Publications

Part-based Signal Modulation and Adaptive Skip Merger for Person Search, Reem Abdalla Sharif Mohamed Alameeri
Student Publications

Improving Generalization Performance of Deep Learning Models for Whole Slide Image Segmentation, Kudaibergen Abutalip
Student Publications

Open World Object Detection in Satellite Images, Abhishek Singh Gehlot
Student Publications

Learning a Latent Space of Cell Shapes via Signed Distance Functions, Sara Pieri
Student Publications

Toward Adaptive Person Search/ReID systems, Mohammed Khaled Mohamed Ahmed Almansoori
Student Publications

A Filling-Based Masking Strategy for Siamese ConvNets, Kirill Vishniakov
Student Publications

Exploring the Potential of Deep Learning for Biomedical Image Segmentation, Muhammad Hamza Sharif
Student Publications

Pseudo-Label Generation and Refinement for Minimally Supervised Video Anomaly Detection, Anas Emad Addeen Diab Al-lahham
Student Publications

Efficient Deep Learning Architectures for Computer Vision Deployment on Industrial Scenarios, Jose Renato Restom Viera
Student Publications

Semi-Supervised Domain Generalization in Visual Recognition, Adnan Khan
Student Publications

XMem++: Towards production level interactive video object segmentation, Maksym Bekuzarov
Student Publications

Semi-supervised Open-World Object Detection, Sahal Shaji Mullappilly
Student Publications

Efficient Test-Time Adaptation for Vision-Language Models, Adilbek Karmanov
Student Publications

Object Detection and Semantic Segmentation on Radar Frequency Signals, Yahia Ibrahim R Dalbah
Student Publications

Sequence Pre-training-based Graph Neural Network for Predicting LncRNA-miRNA Associations, Zixiao Wang
Student Publications

Zero-shot out-of-distribution cancer tissue classification via the Contextualized Classifier, Juwayni Macadato Lucman
Student Publications

Transferability of Vision-Language models with Prompt Learning, Muhammad Uzair Khattak
Student Publications

Towards Learning Efficient Multilingual and Multimodal Representation, Gokul Karthik Kumar
Student Publications

FusedVision: Advancing Anomaly Detection in Surveillance Videos with Branched Networks, Khaled W. H. Dawoud
Student Publications

Handling Realistic Label Noise in BERT Text Classification, Maha Tufail Agro
Student Publications

Detecting Propaganda Techniques in Code-Switched Social Media Texts, Muhammad Umar Salman
Student Publications

PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery, Sheng Zhang
Student Publications

Knowledge Graph-based Recommender System using Skip-gram Network, Rabiatul Adawiyah Binti Ab Jabar
Student Publications

Detecting the Political Leaning of News Articles and News Media, Dilshod Azizov
Student Publications

A Benchmark to Evaluate Gender Bias in Arabic Language Models, Leen Raid Jamal Al Qadi
Student Publications

Using Speech Emotions for Predicting the Check-Worthiness of Claims in Political Events, Felicia Kovacs
Student Publications

Editorial: Deep reinforcement learning for next-generation IoT networks, Sahil Garg, Jia Hu, Giancarlo Fortino, Laurence T. Yang, Mohsen Guizani, Xianjun Deng, Danda B. Rawat
Machine Learning Faculty Publications

Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things, Md Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad
Machine Learning Faculty Publications

Multi-agent Federated Reinforcement Learning for Resource Allocation in UAV-enabled Internet of Medical Things Networks, Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohamed Abdallah, Mohsen Guizani
Machine Learning Faculty Publications

Joint Flood Risks in the Grand River Watershed, Poornima Unnikrishnan, Kumaraswamy Ponnambalam, Nirupama Agrawal, Fakhri Karray
Machine Learning Faculty Publications

Enhancing Arabic Content Generation with Prompt Augmentation Using Integrated GPT and Text-to-Image Models, Wala Elsharif, James She, Preslav Nakov, Simon Wong
Natural Language Processing Faculty Publications

Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques, Mohammed Aledhari, Mohamed Rahouti, Junaid Qadir, Basheer Qolomany, Mohsen Guizani, Ala Al-Fuqaha
Machine Learning Faculty Publications

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, Mohsen Guizani
Machine Learning Faculty Publications

TinyHAR: Benchmarking Human Activity Recognition Systems in Resource Constrained Devices, Sheikh Nooruddin, Md Milon Islam, Fakhri Karray
Machine Learning Faculty Publications

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning, Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang
Machine Learning Faculty Publications

Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Machine Learning Faculty Publications

On the Stability and Generalization of Triplet Learning, Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
Machine Learning Faculty Publications

Byzantine-Robust Loopless Stochastic Variance-Reduced Gradient, Nikita Fedin, Eduard Gorbunov
Machine Learning Faculty Publications

Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection, Peng Zheng, Jie Qin, Shuo Wang, Tian Zhu Xiang, Huan Xiong
Machine Learning Faculty Publications

Corruption-Tolerant Algorithms for Generalized Linear Models, Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar
Machine Learning Faculty Publications

Adversarial Alignment for Source Free Object Detection, Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li
Machine Learning Faculty Publications

Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models, Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra
Natural Language Processing Faculty Publications

What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes, Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md Shad Akhtar, Tanmoy Chakraborty
Natural Language Processing Faculty Publications

How Useful Are Educational Questions Generated by Large Language Models?, Sabina Elkins, Ekaterina Kochmar, Iulian Serban, Jackie C.K. Cheung
Natural Language Processing Faculty Publications