Hybrid Words Representation for Airlines Sentiment Analysis. - Usman Naseem; Shah Khalid Khan; Imran Razzak; Ibrahim A. Hameed (Australasian Conference on Artificial Intelligence, 2019)

DICE: Deep Intelligent Contextual Embedding for Twitter Sentiment Analysis. - Usman Naseem; Katarzyna Musial (ICDAR, 2019)

Deep Context-Aware Embedding for Abusive and Hate Speech detection on Twitter. - Usman Naseem; Imran Razzak; Ibrahim A. Hameed (Aust. J. Intell. Inf. Process. Syst., 2019)

Nuclear Norm Minimization in Frequency Domain for Complex Noise. - Imran Razzak; Usman Naseem; Saeeda Naz; Ibrahim A. Hameed (Aust. J. Intell. Inf. Process. Syst., 2019)

Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor. - Arshia Rehman; Saeeda Naz; Usman Naseem; Imran Razzak; Ibrahim A. Hameed (Aust. J. Intell. Inf. Process. Syst., 2019)

Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer. - Matloob Khushi; Usman Naseem; Jonathan Du; Anis Khan; Simon K. Poon (ICONIP (3), 2020)

Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss. - Usman Naseem; Matloob Khushi; Shah Khalid Khan; Nazar Waheed; Adnan Mir; Atika Qazi; Bandar Alshammari; Simon K. Poon (ICONIP (3), 2020)

Classification of Neuroblastoma Histopathological Images Using Machine Learning. - Adhish Panta; Matloob Khushi; Usman Naseem; Paul J. Kennedy; Daniel R. Catchpoole (ICONIP (3), 2020)

Detecting Alzheimer's Disease by Exploiting Linguistic Information from Nepali Transcript. - Surendrabikram Thapa; Surabhi Adhikari; Usman Naseem; Priyanka Singh; Gnana Bharathy; Mukesh Prasad (ICONIP (4), 2020)

Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding. - Usman Naseem; Katarzyna Musial; Peter W. Eklund; Mukesh Prasad (IJCNN, 2020)

Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. - Usman Naseem; Imran Razzak; Peter W. Eklund; Katarzyna Musial (IJCNN, 2020)

UAV-aided 5G Network in Suburban, Urban, Dense Urban, and High-rise Urban Environments. - Shah Khalid Khan; Usman Naseem; Abdul Sattar 006; Nazar Waheed; Adnan Mir; Atika Qazi; Muhammad Ismail (NCA, 2020)

Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis. - Usman Naseem; Imran Razzak; Katarzyna Musial; Muhammad Imran 001 (Future Gener. Comput. Syst., 2020)

Performance Evaluation of Next-Generation Wireless (5G) UAV Relay. - Shah Khalid Khan; Madiha Farasat; Usman Naseem; Farasat Ali (Wirel. Pers. Commun., 2020)

Active Learning with an Adaptive Classifier for Inaccessible Big Data Analysis. - Sadia Jahan; Md. Rafiqul Islam 001; Khan Md. Hasib; Usman Naseem; Md. Saiful Islam 003 (IJCNN, 2021)

Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IJCNN, 2021)

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. - Usman Naseem; Matloob Khushi; Vinay Reddy; Sakthivel Rajendran; Imran Razzak; Jinman Kim (IJCNN, 2021)

Balanced News Neural Network for a News Recommender System. - Shaina Raza; Syed Raza Bashir; Dora D. Liu; Usman Naseem (ICDM (Workshops), 2021)

Text Mining of Stocktwits Data for Predicting Stock Prices. - Mukul Jaggi; Priyanka Mandal; Shreya Narang; Usman Naseem; Matloob Khushi (CoRR, 2021)

The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges. - Shah Khalid Khan; Usman Naseem; Haris Siraj; Imran Razzak; Muhammad Imran 001 (Trans. Emerg. Telecommun. Technol., 2021)

Fuzzy mixed graphs and its application to identification of COVID19 affected central regions in India. - Kousik Das; Usman Naseem; Sovan Samanta; Shah Khalid Khan; Kajal De (J. Intell. Fuzzy Syst., 2021)

A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter. - Usman Naseem; Imran Razzak; Peter W. Eklund (Multim. Tools Appl., 2021)

A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models. - Usman Naseem; Imran Razzak; Shah Khalid Khan; Mukesh Prasad (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. - Usman Naseem; Imran Razzak; Matloob Khushi; Peter W. Eklund; Jinman Kim (IEEE Trans. Comput. Soc. Syst., 2021)

A DistilBERTopic Model for Short Text Documents. - Junaid Rashid; Jungeun Kim; Usman Naseem; Amir Hussain 001 (ALTA, 2022)

Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation. - Usman Naseem; Ajay Bandi; Shaina Raza; Junaid Rashid; Bharathi Raja Chakravarthi (BioNLP@ACL, 2022)

A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. - Surendrabikram Thapa; Aditya Shah; Farhan Jafri; Usman Naseem; Imran Razzak (CASE@EMNLP, 2022)

Accuracy meets Diversity in a News Recommender System. - Shaina Raza; Syed Raza Bashir; Usman Naseem (COLING, 2022)

A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model. - Dora D. Liu; Zhongyuan Lai; Usman Naseem (DSAA, 2022)

Incorporating Accuracy and Diversity in a News Recommender System. - Shaina Raza; Syed Raza Bashir; Usman Naseem; Dora D. Liu; Deepak John Reji (DSAA, 2022)

Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. - Usman Naseem; Adam G. Dunn; Jinman Kim; Matloob Khushi (WWW, 2022)

Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WWW, 2022)

An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers. - Usman Naseem; Junaid Rashid; Liaqat Ali; Jungeun Kim; Qazi Emad-ul-Haq; Mazhar Javed Awan; Muhammad Imran 001 (IEEE Access, 2022)

Newly-Published Paper Recommendation With a Joint Multi-Relational Model. - Wenjuan Ren; Dora D. Liu; Qian Li; Usman Naseem (IEEE Access, 2022)

Travel behaviour prediction amid covid-19 underlaying situational awareness theory and health belief model. - Khulla Naseer; Javaria Qazi; Atika Qazi; Bright Kwaku Avuglah; Rabail Tahir; Rasheed Abubakar Rasheed; Shah Khalid Khan; Baseer Ahmed Khan; Muhammad Zeeshan; Malik Asif Humayun; Usman Naseem (Behav. Inf. Technol., 2022)

Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. - Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim (BMC Bioinform., 2022)

A novel multiple kernel fuzzy topic modeling technique for biomedical data. - Junaid Rashid; Jungeun Kim; Amir Hussain 001; Usman Naseem; Sapna Juneja (BMC Bioinform., 2022)

A Summary of COVID-19 Datasets. - Shaina Raza; Syed Raza Bashir; Vidhi Thakkar; Usman Naseem (CoRR, 2022)

Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. - Usman Naseem; Byoung-Chan Lee; Matloob Khushi; Jinman Kim; Adam G. Dunn (CoRR, 2022)

An Approach to Ensure Fairness in News Articles. - Shaina Raza; Deepak John Reji; Dora D. Liu; Syed Raza Bashir; Usman Naseem (CoRR, 2022)

Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques. - Surabhi Adhikari; Surendrabikram Thapa; Usman Naseem; Priyanka Singh; Huan Huo; Gnana Bharathy; Mukesh Prasad (Int. J. Hum. Comput. Stud., 2022)

Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. - Liang Hu 004; Dora D. Liu; Qi Zhang 020; Usman Naseem; Zhongyuan Lai (AAAI, 2023)

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. - Dora D. Liu; Liang Hu 004; Qi Zhang 020; Tangwei Ye; Usman Naseem; Zhongyuan Lai (AAAI, 2023)

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Anum Masood; Mehwish Nasim (ClinicalNLP@ACL, 2023)

Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease. - Kritesh Rauniyar; Shuvam Shiwakoti; Sweta Poudel; Surendrabikram Thapa; Usman Naseem; Mehwish Nasim (ClinicalNLP@ACL, 2023)

Prompting Large Language Models for Topic Modeling. - Han Wang 053; Nirmalendu Prakash; Nguyen-Khoi Hoang; Ming Shan Hee; Usman Naseem; Roy Ka-Wei Lee (IEEE Big Data, 2023)

CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict. - Aashish Bhandari; Siddhant Bikram Shah; Surendrabikram Thapa; Usman Naseem; Mehwish Nasim (CVPR Workshops, 2023)

NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse. - Surendrabikram Thapa; Kritesh Rauniyar; Shuvam Shiwakoti; Sweta Poudel; Usman Naseem; Mehwish Nasim (ECAI, 2023)

Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases. - Anum Masood; Usman Naseem; Jinman Kim (EMBC, 2023)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Liang Hu 004; Ivor W. Tsang (EMNLP (Findings), 2023)

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. - Chongyang Shi 001; Yijun Yin; Qi Zhang 020; Liang Xiao 010; Usman Naseem; Shoujin Wang; Liang Hu 004 (EMNLP (Findings), 2023)

Temporally Dynamic Session-Keyword Aware Sequential Recommendation System. - Hariram Veeramani; Surendrabikram Thapa; Usman Naseem (ICDM (Workshops), 2023)

Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images. - Anum Masood; Usman Naseem; Imran Razzak (ISBI, 2023)

Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images. - Anum Masood; Usman Naseem; Mehwish Nasim (CaPTion@MICCAI, 2023)

MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Mehwish Nasim (SIGIR, 2023)

KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment. - Hariram Veeramani; Surendrabikram Thapa; Usman Naseem (ArabicNLP, 2023)

DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic. - Hariram Veeramani; Surendrabikram Thapa; Usman Naseem (ArabicNLP, 2023)

LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic. - Hariram Veeramani; Surendrabikram Thapa; Usman Naseem (ArabicNLP, 2023)

A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WSDM, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Identifying Creative Harmful Memes via Prompt based Approach. - Junhui Ji; Wei Ren; Usman Naseem (WWW, 2023)

Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WWW (Companion Volume), 2023)

Coherent Topic Modeling for Creative Multimodal Data on Social Media. - Junaid Rashid; Jungeun Kim; Usman Naseem (WWW, 2023)

Incorporating Embedding to Topic Modeling for More Effective Short Text Analysis. - Junaid Rashid; Jungeun Kim; Usman Naseem (WWW (Companion Volume), 2023)

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. - Tangwei Ye; Liang Hu 004; Qi Zhang 020; Zhongyuan Lai; Usman Naseem; Dora D. Liu (WWW, 2023)

Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse. - Kritesh Rauniyar; Sweta Poudel; Shuvam Shiwakoti; Surendrabikram Thapa; Junaid Rashid; Jungeun Kim; Muhammad Imran 001; Usman Naseem (IEEE Access, 2023)

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 004; Shoujin Wang; Usman Naseem (CoRR, 2023)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Ivor W. Tsang (CoRR, 2023)

Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines. - Farhan Ahmad Jafri; Mohammad Aman Siddiqui; Surendrabikram Thapa; Kritesh Rauniyar; Usman Naseem; Imran Razzak (CoRR, 2023)

Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19. - Sundas Rukhsar; Mazhar Javed Awan; Usman Naseem; Dilovan Asaad Zebari; Mazin Abed Mohammed; Marwan Ali Albahar; Mohammed I. Thanoon; Amena Mahmoud (Comput. Syst. Sci. Eng., 2023)

Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study. - Atika Qazi; Chiranjib Bhowmik; Fayaz Hussain; Shuiqing Yang; Usman Naseem; Adebayo Abayomi-Alli; Abdu Gumaei; Mabrook Al-Rakhami (IEEE Trans. Engineering Management, 2023)

Robust Identification of Figurative Language in Personal Health Mentions on Twitter. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (IEEE Trans. Artif. Intell., 2023)

Vision-Language Transformer for Interpretable Pathology Visual Question Answering. - Usman Naseem; Matloob Khushi; Jinman Kim (IEEE J. Biomed. Health Informatics, 2023)

Explainable hybrid word representations for sentiment analysis of financial news. - Surabhi Adhikari; Surendrabikram Thapa; Usman Naseem; Hai Ya Lu; Gnana Bharathy; Mukesh Prasad (Neural Networks, 2023)

WETM: A word embedding-based topic model with modified collapsed Gibbs sampling for short text. - Junaid Rashid; Jungeun Kim; Amir Hussain 001; Usman Naseem (Pattern Recognit. Lett., 2023)

RHMD: A Real-World Dataset for Health Mention Classification on Reddit. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IEEE Trans. Comput. Soc. Syst., 2023)

Arabic text detection: a survey of recent progress challenges and opportunities. - Abdullah Yahya Mohammed Muaad; Shaina Raza; Usman Naseem; Hanumanthappa J. Jayappa Davanagere (Appl. Intell., 2023)

Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review. - Sadam Hussain; Yareth Lafarga-Osuna; Mansoor Ali; Usman Naseem; Masroor Ahmed; José Gerardo Tamez-Peña (BMC Bioinform., 2023)

Which Side Are You On? Investigating Politico-Economic Bias in Nepali Language Models. - Surendrabikram Thapa; Kritesh Rauniyar; Ehsan Barkhordar; Hariram Veeramani; Usman Naseem (ALTA, 2024)

Hate Speech Classification in Text-Embedded Images: Integrating Ontology, Contextual Semantics, and Vision-Language Representations. - Surendrabikram Thapa; Surabhi Adhikari; Imran Razzak; Roy Ka-Wei Lee; Usman Naseem (ASONAM (2), 2024)

Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection. - Chengyao Xie; Wenhao Zhou; Ciyuan Peng; Azadeh Noori Hoshyar; Chengpei Xu; Usman Naseem; Feng Xia 001 (AI (2), 2024)

Federated Focal Modulated UNet for Cardiovascular Image Segmentation. - Mohammad Asjad; Abdul Qayyum; Moona Mazher; Usman Naseem; Tariq Mahmood Khan; Steven A. Niederer; Imran Razzak (IEEE Big Data, 2024)

THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning. - Surendrabikram Thapa; Mohammad Salman; Siddhant Bikram Shah; Shuvam Shiwakoti; Qi Zhang 020; Liang Hu 004; Imran Razzak; Usman Naseem (IEEE Big Data, 2024)

SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework. - Surendrabikram Thapa; Mohammad Salman; Siddhant Bikram Shah; Qi Zhang 020; Junaid Rashid; Liang Hu 004; Imran Razzak; Usman Naseem (IEEE Big Data, 2024)

Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024. - Surendrabikram Thapa; Kritesh Rauniyar; Farhan Jafri; Shuvam Shiwakoti; Hariram Veeramani; Raghav Jain; Guneet Singh Kohli; Ali Hürriyetoglu; Usman Naseem (CASE, 2024)

Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024. - Surendrabikram Thapa; Kritesh Rauniyar; Farhan Jafri; Hariram Veeramani; Raghav Rajendra Jain; Sandesh Jain; Francielle Vargas; Ali Hürriyetoglu; Usman Naseem (CASE, 2024)

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. - Jinzhi Shan; Qi Zhang 020; Chongyang Shi 001; Mengting Gui; Shoujin Wang; Usman Naseem (CIKM, 2024)

Analyzing the Dynamics of Climate Change Discourse on Twitter: A New Annotated Corpus and Multi-Aspect Classification. - Shuvam Shiwakoti; Surendrabikram Thapa; Kritesh Rauniyar; Akshyat Shah; Aashish Bhandari; Usman Naseem (LREC/COLING, 2024)

Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction. - Haohui Lu; Usman Naseem (EMNLP, 2024)

Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification. - Faseela Abdullakutty; Somaya Al-Máadeed; Usman Naseem (ICDM (Workshops), 2024)

UMML: Layout-aware Text-Image Fusion for Unified Multilingual Multimodal Learning. - Hariram Veeramani; Surendrabikram Thapa; Mohammad Salman; Mohammad Ali Moni; Usman Naseem (ICDM (Workshops), 2024)

Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net. - Anum Masood; Usman Naseem; Junaid Rashid; Imran Razzak (ISBI, 2024)

Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification. - Sadam Hussain; Mansoor Ali Teevno; Usman Naseem; Beatriz Alejandra Bosques Palomo; Mario Alexis Monsivais Molina; Jorge Alberto Garza Abdala; Daly Betzabeth Avendano Avalos; Servando Cardona-Huerta; T. Aaron Gulliver; José Gerardo Tamez-Peña (CaPTion@MICCAI, 2024)

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection. - Shouyu Chen; Liang Hu 004; Tangwei Ye; Zhongyuan Lai; Qi Zhang 020; Ke Liu; Usman Naseem; Ke Sun; Nengjun Zhu (ACM Multimedia, 2024)

Vaccine Misinformation Detection in X using Cooperative Multimodal Framework. - Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim (ACM Multimedia, 2024)

MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili. - Han Wang 053; Tan Rui Yang; Usman Naseem; Roy Ka-Wei Lee (ACM Multimedia, 2024)

Prompt Strategies for Sarcastic Meme Detection: A Comparative Analysis. - Faseela Abdullakutty; Somaya Al-Máadeed; Usman Naseem (WISE (PhD Symposium, Demos and Workshops), 2024)

Did You Tell a Deadly Lie? Evaluating Large Language Models for Health Misinformation Identification. - Surendrabikram Thapa; Kritesh Rauniyar; Hariram Veeramani; Aditya Shah; Imran Razzak; Usman Naseem (WISE (5), 2024)

A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WSDM, 2024)

Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis. - Faseela Abdullakutty; Usman Naseem (WWW (Companion Volume), 2024)

Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification. - Shijing Chen; Usman Naseem; Imran Razzak; Flora D. Salim (WWW (Companion Volume), 2024)

CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection. - Junhui Ji; Xuanrui Lin; Usman Naseem (WWW, 2024)

RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis. - Surendrabikram Thapa; Farhan Ahmad Jafri; Kritesh Rauniyar; Mehwish Nasim; Usman Naseem (WWW (Companion Volume), 2024)

Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024). - Surendrabikram Thapa; Usman Naseem; Roy Ka-Wei Lee; Mehwish Nasim (WWW (Companion Volume), 2024)

MSynFD: Multi-hop Syntax Aware Fake News Detection. - Liang Xiao 010; Qi Zhang 020; Chongyang Shi 001; Shoujin Wang; Usman Naseem; Liang Hu 004 (WWW, 2024)

Enhancing Textbook Question Answering Task with Large Language Models and Retrieval Augmented Generation. - Hessa Abdulrahman Alawwad; Areej Alhothali; Usman Naseem; Ali Alkhathlan; Amani T. Jamal (CoRR, 2024)

Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models. - Hariram Veeramani; Surendrabikram Thapa; Usman Naseem (CoRR, 2024)

Wills Aligner: A Robust Multi-Subject Brain Representation Learner. - Guangyin Bao; Zixuan Gong; Qi Zhang 020; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

An Experimental Comparison of Transfer Learning against Self-supervised Learning. - Zehui Zhao; Laith Alzubaidi; Jinglan Zhang; Ye Duan; Usman Naseem; Yuantong Gu (CoRR, 2024)

Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging. - Zehui Zhao; Laith Alzubaidi; Jinglan Zhang; Ye Duan; Usman Naseem; Yuantong Gu (CoRR, 2024)

Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings. - Md. Arid Hasan; Prerona Tarannum; Krishno Dey; Imran Razzak; Usman Naseem (CoRR, 2024)

ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework. - Jiahao Yuan; Zixiang Di; Zhiqing Cui; Guisong Yang; Usman Naseem (CoRR, 2024)

PersoBench: Benchmarking Personalized Response Generation in Large Language Models. - Saleh Afzoon; Usman Naseem; Amin Beheshti; Zahra Jamali (CoRR, 2024)

Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings. - Krishno Dey; Prerona Tarannum; Md. Arid Hasan; Imran Razzak; Usman Naseem (CoRR, 2024)

Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette. - Jiahao Yuan; Zixiang Di; Shangzixin Zhao; Usman Naseem (CoRR, 2024)

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Shoujin Wang; Junaid Rashid; Liang Hu 004; Amir Hussain 001 (Neurocomputing, 2024)

Medical Question Summarization with Entity-driven Contrastive Learning. - Wenpeng Lu; Sibo Wei; Xueping Peng; Yi-Fei Wang; Usman Naseem; Shoujin Wang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. - Usman Naseem; Matloob Khushi; Adam G. Dunn; Jinman Kim (IEEE J. Biomed. Health Informatics, 2024)

Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition. - Denghui Zhang; Muhammad Shafiq 003; Keke Tang; Usman Naseem (IEEE J. Biomed. Health Informatics, 2024)

Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IEEE Trans. Comput. Soc. Syst., 2024)

Doc-KG: Unstructured documents to knowledge graph construction, identification and validation with Wikidata. - Muhammad Salman; Armin Haller; Sergio José Rodríguez Méndez; Usman Naseem (Expert Syst. J. Knowl. Eng., 2024)

Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 008; Shoujin Wang; Usman Naseem (IEEE Trans. Neural Networks Learn. Syst., 2024)

Incorporating historical information by disentangling hidden representations for mental health surveillance on social media. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Junaid Rashid; Mehwish Nasim (Soc. Netw. Anal. Min., 2024)

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. - Guangyin Bao; Qi Zhang 020; Zixuan Gong; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism. - Jianing He; Qi Zhang 020; Hongyun Zhang; Xuanjing Huang 001; Usman Naseem; Duoqian Miao 001 (AAAI, 2025)

VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare. - Anudeex Shetty; Amin Beheshti; Mark Dras; Usman Naseem (ACL (1), 2025)

ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework. - Jiahao Yuan; Zixiang Di; Zhiqing Cui; Guisong Yang; Usman Naseem (ACL (1), 2025)

Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up. - Jiahao Yuan; Dehui Du; Hao Zhang; Zixiang Di; Usman Naseem (ACL (1), 2025)

Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects. - Abdulsalam obaid Alharbi; Abdullah Alsuhaibani; Abdulrahman Abdullah Alalawi; Usman Naseem; Shoaib Jameel; Salil S. Kanhere; Imran Razzak (COLING Workshops, 2025)

Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. - Shijing Chen; Mohamed Reda Bouadjenek; Usman Naseem; Basem Suleiman; Shoaib Jameel; Flora D. Salim; Hakim Hacid; Imran Razzak (COLING, 2025)

Natural Language Understanding of Devanagari Script Languages: Language Identification, Hate Speech and its Target Detection. - Surendrabikram Thapa; Kritesh Rauniyar; Farhan Ahmad Jafri; Surabhi Adhikari; Kengatharaiyer Sarveswaran; Bal Krishna Bal; Hariram Veeramani; Usman Naseem (COLING Workshops, 2025)

BeefBot: Harnessing Advanced LLM and RAG Techniques for Providing Scientific and Technology Solutions to Beef Producers. - Zhihao Zhang; Carrie-Ann Wilson; Rachel Hay; Yvette Everingham; Usman Naseem (COLING (Demonstrations), 2025)

A Multimodal Prompt-based Framework for Analyzing Code-Mixed and Low-Resource Memes. - Surendrabikram Thapa; Hariram Veeramani; Liang Hu 004; Qi Zhang 020; Wei Wang 077; Usman Naseem (ICWSM, 2025)

GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities. - Usman Naseem; Shuvam Shiwakoti; Siddhant Bikram Shah; Surendrabikram Thapa; Qi Zhang 020 (NAACL (Short Papers), 2025)

Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations. - Zhuo Cai 003; Shoujin Wang; Victor W. Chu; Usman Naseem; Yang Wang 002; Fang Chen 001 (SIGIR, 2025)

Few Labels with Active Learning: From Weak to Strong Labels for Misinformation Detection. - Abdulrahman Abdullah Alalawi; Abdullah Alsuhaibani; Usman Naseem; Basem Suleiman; Shoaib Jameel; Imran Razzak (WWW (Companion Volume), 2025)

Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires. - Pranav Bhandari; Usman Naseem; Amitava Datta; Nicolas Fay; Mehwish Nasim (WWW (Companion Volume), 2025)

MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network. - Kai Fang 001; Jiangtao Deng; Chengzu Dong; Usman Naseem; Tongcun Liu; Hailin Feng; Wei Wang 077 (WWW, 2025)

PoliMeme: Exploring Offensive Meme Propagation in the Israel-Palestine Conflict. - Pratham Grover; Vijayrajsinh Gohil; Bhavya Goel; Hariram Veeramani; Siddhant Bikram Shah; Sandesh Rajendra Jain; Surendrabikram Thapa; Imran Razzak; Usman Naseem (WWW (Companion Volume), 2025)

Explainable Medical Image Captioning. - Md Sarwar Kamal; Sonia Farhana Nimmy; Md Rafiqul Islam; Usman Naseem (WWW (Companion Volume), 2025)

Ask, Acquire, Understand: A Multimodal Agent-based Framework for Social Abuse Detection in Memes. - Xuanrui Lin; Chao Jia; Junhui Ji; Hui Han; Usman Naseem (WWW, 2025)

DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. - Usman Naseem; Liang Hu 008; Qi Zhang 020; Shoujin Wang; Shoaib Jameel (WWW, 2025)

LLMs as Historical Actors: How AI Systems Influence the Web's Evolution. - Usman Naseem; Junaid Rashid; Junguen Kim; Amin Beheshti; Jian Yang 001; Mark Dras (WWW (Companion Volume), 2025)

Third International Workshop on Multimodal Content Analysis for Social Good. - Usman Naseem; Surendrabikram Thapa; Roy Ka-Wei Lee; Mehwish Nasim (WWW (Companion Volume), 2025)

Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation. - Siddhant Bikram Shah; Shuvam Shiwakoti; Touhid Bhuiyan; Mohammad Ali Moni; Surendrabikram Thapa; Usman Naseem (WWW (Companion Volume), 2025)

BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection. - Shuvam Shiwakoti; Siddhant Bikram Shah; Wei Wang 077; Surendrabikram Thapa; Imran Razzak; Usman Naseem (WWW (Companion Volume), 2025)

Addressing the Challenges of Mental Health Conversations with Large Language Models. - Shuvam Shiwakoti; Siddhant Bikram Shah; Imran Razzak; Surendrabikram Thapa; Usman Naseem (WWW (Companion Volume), 2025)

Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding. - Surendrabikram Thapa; Hariram Veeramani; Imran Razzak; Roy Ka-Wei Lee; Usman Naseem (WWW (Companion Volume), 2025)

KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models. - Yingqing Yuan; Linwei Tao; Haohui Lu; Matloob Khushi; Imran Razzak; Mark Dras; Jian Yang 001; Usman Naseem (WWW (Companion Volume), 2025)

Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning. - Sadam Hussain; Mansoor Ali Teevno; Usman Naseem; Daly Betzabeth Avendano Avalos; Servando Cardona-Huerta; José Gerardo Tamez-Peña (IEEE Access, 2025)

Artificial Intelligence for Text Analysis in the Arabic and Related Middle Eastern Languages: Progress, Trends, and Future Recommendations. - Abdullah Yahya Mohammed Muaad; Md Belal Bin Heyat; Faijan Akhtar; Usman Naseem; Wadeea R. Naji; Suresha Mallappa; Hanumanthappa J (Int. J. Intell. Syst., 2025)

Large language models vs human for classifying clinical documents. - Akram Mustafa; Usman Naseem; Mostafa Rahimi Azghadi (Int. J. Medical Informatics, 2025)

Enhancing textual textbook question answering with large language models and retrieval augmented generation. - Hessa Abdulrahman Alawwad; Areej Alhothali; Usman Naseem; Ali Alkhathlan; Amani T. Jamal (Pattern Recognit., 2025)

Systematic Literature Review on Sentiment Analysis in Airline Industry. - Khan Md. Hasib; Usman Naseem; Ashfia Jannat Keya; Shithi Maitra; Kamruzzaman Mithu; Md. Golam Rabiul Alam (SN Comput. Sci., 2025)

Competing LLM Agents in a Non-Cooperative Game of Opinion Polarisation. - Amin Qasmi; Usman Naseem; Mehwish Nasim (CoRR, 2025)

Can LLM Agents Maintain a Persona in Discourse? - Pranav Bhandari; Nicolas Fay; Michael J. Wise; Amitava Datta; Stephanie Meek; Usman Naseem; Mehwish Nasim (CoRR, 2025)

Simulating Influence Dynamics with LLM Agents. - Mehwish Nasim; Syed Mushhad M. Gilani; Amin Qasmi; Usman Naseem (CoRR, 2025)

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation. - Syed Talal Ahmad; Haohui Lu; Sidong Liu; Annie Lau; Amin Beheshti; Mark Dras; Usman Naseem (CoRR, 2025)

ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist Content. - Bhavik Chandna; Mariam Aboujenane; Usman Naseem (CoRR, 2025)

Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer. - Shijing Chen; Shoaib Jameel; Mohamed Reda Bouadjenek; Feilong Tang; Usman Naseem; Basem Suleiman; Hakim Hacid; Flora D. Salim; Imran Razzak (CoRR, 2025)

LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation. - Hao Wang 143; Shuchang Ye; Jinghao Lin; Usman Naseem; Jinman Kim (CoRR, 2025)

Can Reasoning LLMs Enhance Clinical Document Classification? - Akram Mustafa; Usman Naseem; Mostafa Rahimi Azghadi (CoRR, 2025)

Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets. - Yongpei Ma; Pengyu Wang; Adam G. Dunn; Usman Naseem; Jinman Kim (CoRR, 2025)

A Survey on Progress in LLM Alignment from the Perspective of Reward Design. - Miaomiao Ji; Yanqiu Wu 002; Zhibin Wu; Shoujin Wang; Jian Yang 001; Mark Dras; Usman Naseem (CoRR, 2025)

Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering. - Hessa Abdulrahman Alawwad; Usman Naseem; Areej Alhothali; Ali Alkhathlan; Amani T. Jamal (CoRR, 2025)

Can Pruning Improve Reasoning? Revisiting Long-CoT Compression with Capability in Mind for Better Reasoning. - Shangziqi Zhao; Jiahao Yuan; Guisong Yang; Usman Naseem (CoRR, 2025)

MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering. - Shuchang Ye; Usman Naseem; Mingyuan Meng; David D. Feng; Jinman Kim (CoRR, 2025)

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs. - Pengyu Wang; Shuchang Ye; Usman Naseem; Jinman Kim (CoRR, 2025)

From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation. - Zhihao Zhang; Yiran Zhang; Xiyue Zhou; Liting Huang; Imran Razzak; Preslav Nakov; Usman Naseem (CoRR, 2025)

POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization. - Usman Naseem; Juan Ren; Saba Anwar; Sarah Kohail; Rudy Alexandro Garrido Veliz; Robert Geislinger; Aisha Jabr; Idris Abdulmumin; Laiba Qureshi; Aarushi Ajay Borkar; Maryam Ibrahim Mukhtar; Abinew Ali Ayele; et al. (CoRR, 2025)

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy. - Saleh Afzoon; Zahra Jahanandish; Phuong Thao Huynh; Amin Beheshti; Usman Naseem (CoRR, 2025)

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack. - Juan Ren; Mark Dras; Usman Naseem (CoRR, 2025)

Benchmarking Large Language Models for Cryptanalysis and Mismatched-Generalization. - Utsav Maskey; Chencheng Zhu; Usman Naseem (CoRR, 2025)

Probing Politico-Economic Bias in Multilingual Large Language Models: A Cultural Analysis of Low-Resource Pakistani Languages. - Afrozah Nadeem; Mark Dras; Usman Naseem (CoRR, 2025)

XGUARD: A Graded Benchmark for Evaluating Safety Failures of Large Language Models on Extremist Content. - Vadivel Abishethvarman; Bhavik Chandna; Pratik Jalan; Usman Naseem (CoRR, 2025)

TurnBench-MS: A Benchmark for Evaluating Multi-Turn, Multi-Step Reasoning in Large Language Models. - Yiran Zhang; Mo Wang; Xiaoyang Li; Kaixuan Ren; Chencheng Zhu; Usman Naseem (CoRR, 2025)

Should LLM Safety Be More Than Refusing Harmful Instructions? - Utsav Maskey; Mark Dras; Usman Naseem (CoRR, 2025)

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward. - Muhammad Islam; Tao Huang 008; Euijoon Ahn; Usman Naseem (CoRR, 2025)

Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages. - Ali Almutairi; Abdullah Alsuhaibani; Shoaib Jameel; Usman Naseem; Gelareh Mohammadi; Imran Razzak (CoRR, 2025)

LLMs on a Budget? Say HOLA. - Zohaib Hasan Siddiqui; Jiechao Gao; Ebad Shabbir; Mohammad Anas Azeez; Rafiq Ali; Gautam Siddharth Kashyap; Usman Naseem (CoRR, 2025)

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. - Zhihao Sui; Liang Hu 004; Jian Cao 001; Dora D. Liu; Usman Naseem; Zhongyuan Lai; Qi Zhang 020 (CoRR, 2025)

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement. - Zhihao Sui; Liang Hu 004; Jian Cao 001; Usman Naseem; Zhongyuan Lai; Qi Zhang 020 (CoRR, 2025)

Evaluating Multimodal Large Language Models on Educational Textbook Question Answering. - Hessa Abdulrahman Alawwad; Anas Zafar; Areej Alhothali; Usman Naseem; Ali Alkhathlan; Amani T. Jamal (CoRR, 2025)

ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech. - Gautam Siddharth Kashyap; Mohammad Anas Azeez; Rafiq Ali; Zohaib Hasan Siddiqui; Jiechao Gao; Usman Naseem (CoRR, 2025)

How Can Multimodal Remote Sensing Datasets Transform Classification via SpatialNet-ViT? - Gautam Siddharth Kashyap; Manaswi Kulahara; Nipun Joshi; Usman Naseem (CoRR, 2025)

Can Argus Judge Them All? Comparing VLMs Across Domains. - Harsh Joshi; Gautam Siddharth Kashyap; Rafiq Ali; Ebad Shabbir; Niharika Jain; Sarthak Jain; Jiechao Gao; Usman Naseem (CoRR, 2025)

Truth, Trust, and Trouble: Medical AI on the Edge. - Mohammad Anas Azeez; Rafiq Ali; Ebad Shabbir; Zohaib Hasan Siddiqui; Gautam Siddharth Kashyap; Jiechao Gao; Usman Naseem (CoRR, 2025)

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs. - Akram Mustafa; Usman Naseem; Mostafa Rahimi Azghadi (CoRR, 2025)

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation. - Shuchang Ye; Usman Naseem; Mingyuan Meng; Jinman Kim (CoRR, 2025)

Steering Towards Fairness: Mitigating Political Bias in LLMs. - Afrozah Nadeem; Mark Dras; Usman Naseem (CoRR, 2025)

SafeConstellations: Steering LLM Safety to Reduce Over-Refusals Through Task-Specific Trajectory. - Utsav Maskey; Sumit Yadav; Mark Dras; Usman Naseem (CoRR, 2025)

ExBigBang: A Dynamic Approach for Explainable Persona Classification through Contextualized Hybrid Transformer Analysis. - Saleh Afzoon; Amin Beheshti; Nabi Rezvani; Farshad Khunjush; Usman Naseem; John McMahon; Zahra Fathollahi; Mahdieh Labani; Wathiq Mansoor; Xuyun Zhang (CoRR, 2025)

MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Junaid Rashid; Liang Hu 004 (IEEE Trans. Comput. Soc. Syst., 2025)

Large language models (LLM) in computational social science: prospects, current state, and challenges. - Surendrabikram Thapa; Shuvam Shiwakoti; Siddhant Bikram Shah; Surabhi Adhikari; Hariram Veeramani; Mehwish Nasim; Usman Naseem (Soc. Netw. Anal. Min., 2025)