| 2026 | ACL | Long Context Modeling with Ranked Memory-Augmented Retrieval. | Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak |
| 2026 | ACL | TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. | Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Zongyuan Ge, Yutong Xie, Imran Razzak |
| 2026 | LREC | Lightweight Cross-Lingual Federated Prompt Tuning for Low-Resource Languages. | Ubaid Azam, Imran Razzak, Shoaib Jameel |
| 2026 | WWW | Exploring the Influence of Lifestyle, Social Health, and Demographic Factors on Psychological Well-being and Engagement Levels. | Niranjana Arun Menon, Md. Rafiqul Islam, Mohamed Reda Bouadjenek, Shoaib Jameel, Eran Segal, Imran Razzak |
| 2025 | CIKM | EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. | Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel |
| 2025 | COLING | 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 |
| 2025 | COLING | Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes. | Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Shoaib Jameel |
| 2025 | COLING | 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 |
| 2025 | IJCNN | Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. | Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel |
| 2025 | WWW | 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 |
| 2025 | WWW | DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. | Usman Naseem, Liang Hu, Qi Zhang, Shoujin Wang, Shoaib Jameel |
| 2025 | SIGIR | Bias in Language Models: Interplay of Architecture and Data? | Mozhgan Talebpour, Yunfei Long, Alba Garcia Seco de Herrera, Shoaib Jameel |
| 2025 | WSDM | BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling. | Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel |
| 2025 | WSDM | GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. | Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel |
| 2024 | WISE | CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. | Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu |
| 2024 | WISE | Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. | Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel |
| 2024 | WSDM | IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. | Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu |
| 2023 | ECIR | Topics in Contextualised Attention Embeddings. | Mozhgan Talebpour, Alba Garca Seco de Herrera, Shoaib Jameel |
| 2023 | HIS | A Pipeline for AI-Based Quantitative Studies of Science Enhanced by Crowdsourced Inferential Modelling. | Antnio Correia, Tommi Krkkinen, Shoaib Jameel, Daniel Schneider, Pedro Antunes, Benjamim Fonseca, Andrea Grover |
| 2022 | AAAI | Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. | Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| 2021 | CIKM | Click-Through Rate Prediction with Multi-Modal Hypergraphs. | Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu |
| 2021 | CSCWD | AuthCrowd: Author Name Disambiguation and Entity Matching using Crowdsourcing. | Antnio Correia, Diogo Guimares, Dennis Paulino, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes |
| 2021 | CSCWD | Scientometric Research Assessment of IEEE CSCWD Conference Proceedings: An Exploratory Analysis from 2001 to 2019. | Antnio Correia, Dennis Paulino, Hugo Paredes, Benjamim Fonseca, Shoaib Jameel, Daniel Schneider, Jano Moreira de Souza |
| 2021 | ICASSP | Few-Shot Image Classification with Multi-Facet Prototypes. | Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert |
| 2021 | SIGIR | DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. | Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu |
| 2020 | COLING | Dynamic Topic Tracker for KB-to-Text Generation. | Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel |
| 2020 | ISDA | Empirical Investigation of the Factors Influencing Researchers' Adoption of Crowdsourcing and Machine Learning. | Antnio Correia, Daniel Schneider, Shoaib Jameel, Hugo Paredes, Benjamim Fonseca |
| 2019 | AAAI | Word Embedding as Maximum A Posteriori Estimation. | Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert |
| 2019 | ACL | Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors. | Shoaib Jameel, Steven Schockaert |
| 2019 | CSCWD | The Effect of Scientific Collaboration on CSCW Research: A Scientometric Study. | Antnio Correia, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes |
| 2019 | IJCAI | A Latent Variable Model for Learning Distributional Relation Vectors. | Jos Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert |
| 2019 | SMC | Development of a Crowd-Powered System Architecture for Knowledge Discovery in Scientific Domains. | Antnio Correia, Benjamim Fonseca, Hugo Paredes, Daniel Schneider, Shoaib Jameel |
| 2019 | SMC | Towards Hybrid Crowd-AI Centered Systems: Developing an Integrated Framework from an Empirical Perspective. | Antnio Correia, Hugo Paredes, Daniel Schneider, Shoaib Jameel, Benjamim Fonseca |
| 2018 | ACL | Unsupervised Learning of Distributional Relation Vectors. | Shoaib Jameel, Zied Bouraoui, Steven Schockaert |
| 2018 | COLING | Relation Induction in Word Embeddings Revisited. | Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| 2017 | AAAI | Inductive Reasoning about Ontologies Using Conceptual Spaces. | Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| 2017 | CoNLL | Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding. | Shoaib Jameel, Steven Schockaert |
| 2017 | SIGIR | MEmbER: Max-Margin Based Embeddings for Entity Retrieval. | Shoaib Jameel, Zied Bouraoui, Steven Schockaert |
| 2017 | SIGIR | Jointly Learning Word Embeddings and Latent Topics. | Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai |
| 2016 | COLING | D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities. | Shoaib Jameel, Steven Schockaert |
| 2016 | ECAI | Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. | Shoaib Jameel, Steven Schockaert |
| 2016 | IJCAI | Plausible Reasoning Based on Qualitative Entity Embeddings. | Steven Schockaert, Shoaib Jameel |
| 2016 | ICTIR | Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. | Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie |
| 2016 | ICTIR | Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. | Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie |
| 2015 | CIKM | A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. | Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing |
| 2015 | ECIR | Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. | Shoaib Jameel, Wai Lam, Lidong Bing |
| 2015 | Interspeech | Topic modeling for conference analytics. | Pengfei Liu, Shoaib Jameel, Wai Lam, Bin Ma, Helen M. Meng |
| 2014 | CICLING | Website Community Mining from Query Logs with Two-Phase Clustering. | Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu |
| 2013 | ECIR | An N-Gram Topic Model for Time-Stamped Documents. | Shoaib Jameel, Wai Lam |
| 2013 | SIGIR | An unsupervised topic segmentation model incorporating word order. | Shoaib Jameel, Wai Lam |
| 2012 | COLING | N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability. | Shoaib Jameel, Xiaojun Qian, Wai Lam |
| 2011 | CIKM | An unsupervised ranking method based on a technical difficulty terrain. | Shoaib Jameel, Wai Lam, Ching-man Au Yeung, Sheaujiun Chyan |