Usman Naseem
Orcid: 0000-0003-0191-7171
According to our database1,
Usman Naseem
authored at least 194 papers
between 2019 and 2025.
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Bibliography
2025
Large language models (LLM) in computational social science: prospects, current state, and challenges.
Soc. Netw. Anal. Min., December, 2025
MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms.
IEEE Trans. Comput. Soc. Syst., August, 2025
ExBigBang: A Dynamic Approach for Explainable Persona Classification through Contextualized Hybrid Transformer Analysis.
CoRR, August, 2025
SafeConstellations: Steering LLM Safety to Reduce Over-Refusals Through Task-Specific Trajectory.
CoRR, August, 2025
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation.
CoRR, July, 2025
CoRR, July, 2025
How Can Multimodal Remote Sensing Datasets Transform Classification via SpatialNet-ViT?
CoRR, June, 2025
CoRR, June, 2025
Evaluating Multimodal Large Language Models on Educational Textbook Question Answering.
CoRR, June, 2025
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement.
CoRR, June, 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy.
CoRR, June, 2025
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages.
CoRR, June, 2025
Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward.
CoRR, June, 2025
TurnBench-MS: A Benchmark for Evaluating Multi-Turn, Multi-Step Reasoning in Large Language Models.
CoRR, June, 2025
XGUARD: A Graded Benchmark for Evaluating Safety Failures of Large Language Models on Extremist Content.
CoRR, June, 2025
Probing Politico-Economic Bias in Multilingual Large Language Models: A Cultural Analysis of Low-Resource Pakistani Languages.
CoRR, June, 2025
CoRR, May, 2025
CoRR, May, 2025
Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy.
CoRR, May, 2025
POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization.
CoRR, May, 2025
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation.
CoRR, May, 2025
MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs.
CoRR, May, 2025
MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering.
CoRR, May, 2025
Can Pruning Improve Reasoning? Revisiting Long-CoT Compression with Capability in Mind for Better Reasoning.
CoRR, May, 2025
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering.
CoRR, May, 2025
CoRR, May, 2025
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets.
CoRR, April, 2025
LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation.
CoRR, April, 2025
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer.
CoRR, March, 2025
CoRR, March, 2025
VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation.
CoRR, March, 2025
CoRR, February, 2025
SN Comput. Sci., January, 2025
Enhancing textual textbook question answering with large language models and retrieval augmented generation.
Pattern Recognit., 2025
Int. J. Medical Informatics, 2025
Artificial Intelligence for Text Analysis in the Arabic and Related Middle Eastern Languages: Progress, Trends, and Future Recommendations.
Int. J. Intell. Syst., 2025
Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning.
IEEE Access, 2025
KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection.
Proceedings of the ACM on Web Conference 2025, 2025
Ask, Acquire, Understand: A Multimodal Agent-based Framework for Social Abuse Detection in Memes.
Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the ACM on Web Conference 2025, 2025
Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Few Labels with Active Learning: From Weak to Strong Labels for Misinformation Detection.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025
BeefBot: Harnessing Advanced LLM and RAG Techniques for Providing Scientific and Technology Solutions to Beef Producers.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Natural Language Understanding of Devanagari Script Languages: Language Identification, Hate Speech and its Target Detection.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media.
Soc. Netw. Anal. Min., December, 2024
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Doc-KG: Unstructured documents to knowledge graph construction, identification and validation with Wikidata.
Expert Syst. J. Knowl. Eng., September, 2024
Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media.
IEEE Trans. Comput. Soc. Syst., August, 2024
Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition.
IEEE J. Biomed. Health Informatics, July, 2024
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering.
IEEE J. Biomed. Health Informatics, April, 2024
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2024
Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.
Neurocomputing, 2024
Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings.
CoRR, 2024
CoRR, 2024
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework.
CoRR, 2024
Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models.
CoRR, 2024
Enhancing Textbook Question Answering Task with Large Language Models and Retrieval Augmented Generation.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024).
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection.
Proceedings of the ACM on Web Conference 2024, 2024
Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Did You Tell a Deadly Lie? Evaluating Large Language Models for Health Misinformation Identification.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
Proceedings of the Web Information Systems Engineering - WISE 2024 PhD Symposium, Demos and Workshops, 2024
MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification.
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024
Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Conference on Data Mining, 2024
Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification.
Proceedings of the IEEE International Conference on Data Mining, 2024
Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Analyzing the Dynamics of Climate Change Discourse on Twitter: A New Annotated Corpus and Multi-Aspect Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024
Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024
SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework.
Proceedings of the IEEE International Conference on Big Data, 2024
THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning.
Proceedings of the IEEE International Conference on Big Data, 2024
Proceedings of the IEEE International Conference on Big Data, 2024
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
Hate Speech Classification in Text-Embedded Images: Integrating Ontology, Contextual Semantics, and Vision-Language Representations.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024
Which Side Are You On? Investigating Politico-Economic Bias in Nepali Language Models.
Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association, 2024
2023
Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review.
BMC Bioinform., December, 2023
Appl. Intell., December, 2023
IEEE Trans. Comput. Soc. Syst., October, 2023
WETM: A word embedding-based topic model with modified collapsed Gibbs sampling for short text.
Pattern Recognit. Lett., August, 2023
Neural Networks, July, 2023
IEEE J. Biomed. Health Informatics, April, 2023
IEEE Trans. Artif. Intell., April, 2023
Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study.
IEEE Trans. Engineering Management, 2023
Comput. Syst. Sci. Eng., 2023
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines.
CoRR, 2023
CoRR, 2023
Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse.
IEEE Access, 2023
Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023
DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023
KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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.
Proceedings of the Cancer Prevention Through Early Detection, 2023
Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques.
Int. J. Hum. Comput. Stud., 2022
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model.
CoRR, 2022
BMC Bioinform., 2022
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT.
BMC Bioinform., 2022
Travel behaviour prediction amid covid-19 underlaying situational awareness theory and health belief model.
Behav. Inf. Technol., 2022
IEEE Access, 2022
An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers.
IEEE Access, 2022
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022
Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
Proceedings of the 20th Annual Workshop of the Australasian Language Technology Association, 2022
2021
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis.
IEEE Trans. Comput. Soc. Syst., 2021
A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter.
Multim. Tools Appl., 2021
Fuzzy mixed graphs and its application to identification of COVID19 affected central regions in India.
J. Intell. Fuzzy Syst., 2021
The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges.
Trans. Emerg. Telecommun. Technol., 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Wirel. Pers. Commun., 2020
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis.
Future Gener. Comput. Syst., 2020
UAV-aided 5G Network in Suburban, Urban, Dense Urban, and High-rise Urban Environments.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Detecting Alzheimer's Disease by Exploiting Linguistic Information from Nepali Transcript.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Aust. J. Intell. Inf. Process. Syst., 2019
Aust. J. Intell. Inf. Process. Syst., 2019
Aust. J. Intell. Inf. Process. Syst., 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019