An unsupervised ranking method based on a technical difficulty terrain. - Shoaib Jameel; Wai Lam; Ching-man Au Yeung; Sheaujiun Chyan (CIKM, 2011)

N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability. - Shoaib Jameel; Xiaojun Qian; Wai Lam (COLING, 2012)

An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space. - Shoaib Jameel; Wai Lam; Xiaojun Qian; Ching-man Au Yeung (JCDL, 2012)

An Unsupervised Technical Readability Ranking Model by Building a Conceptual Terrain in LSI. - Shoaib Jameel; Xiaojun Qian (SKG, 2012)

Ranking Text Documents Based on Conceptual Difficulty Using Term Embedding and Sequential Discourse Cohesion. - Shoaib Jameel; Wai Lam; Xiaojun Qian (Web Intelligence, 2012)

A Nonparametric N-Gram Topic Model with Interpretable Latent Topics. - Shoaib Jameel; Wai Lam (AIRS, 2013)

An N-Gram Topic Model for Time-Stamped Documents. - Shoaib Jameel; Wai Lam (ECIR, 2013)

An unsupervised topic segmentation model incorporating word order. - Shoaib Jameel; Wai Lam (SIGIR, 2013)

Website Community Mining from Query Logs with Two-Phase Clustering. - Lidong Bing; Wai Lam; Shoaib Jameel; Chunliang Lu (CICLing (2), 2014)

Abstract Venue Concept Detection from Location-Based Social Networks. - Yi Liao; Shoaib Jameel; Wai Lam; Xing Xie 001 (AIRS, 2015)

A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. - Shoaib Jameel; Wai Lam; Steven Schockaert; Lidong Bing (CIKM, 2015)

Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. - Shoaib Jameel; Wai Lam; Lidong Bing (ECIR, 2015)

Topic modeling for conference analytics. - Pengfei Liu 004; Shoaib Jameel; Wai Lam; Bin Ma 001; Helen M. Meng (INTERSPEECH, 2015)

Supervised topic models with word order structure for document classification and retrieval learning. - Shoaib Jameel; Wai Lam; Lidong Bing (Inf. Retr. J., 2015)

Adaptive Concept Resolution for document representation and its applications in text mining. - Lidong Bing; Shan Jiang 001; Wai Lam; Yan Zhang 004; Shoaib Jameel (Knowl. Based Syst., 2015)

Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. - Lidong Bing; Wai Lam; Tak-Lam Wong; Shoaib Jameel (ACM Trans. Inf. Syst., 2015)

D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities. - Shoaib Jameel; Steven Schockaert (COLING, 2016)

Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. - Shoaib Jameel; Steven Schockaert (ECAI, 2016)

Learning Track Representation and Trends for Conference Analytics. - Pengfei Liu 004; Shoaib Jameel; King Keung Wu; Helen M. Meng (HICSS, 2016)

Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. - Shoaib Jameel; Yi Liao; Wai Lam; Steven Schockaert; Xing Xie 001 (ICTIR, 2016)

Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. - Yi Liao; Wai Lam; Shoaib Jameel; Steven Schockaert; Xing Xie 001 (ICTIR, 2016)

Plausible Reasoning Based on Qualitative Entity Embeddings. - Steven Schockaert; Shoaib Jameel (IJCAI, 2016)

Inductive Reasoning about Ontologies Using Conceptual Spaces. - Zied Bouraoui; Shoaib Jameel; Steven Schockaert (AAAI, 2017)

Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding. - Shoaib Jameel; Steven Schockaert (CoNLL, 2017)

MEmbER: Max-Margin Based Embeddings for Entity Retrieval. - Shoaib Jameel; Zied Bouraoui; Steven Schockaert (SIGIR, 2017)

Jointly Learning Word Embeddings and Latent Topics. - Bei Shi; Wai Lam; Shoaib Jameel; Steven Schockaert; Kwun Ping Lai (SIGIR, 2017)

Probabilistic Relation Induction in Vector Space Embeddings. - Zied Bouraoui; Shoaib Jameel; Steven Schockaert (CoRR, 2017)

Modeling Semantic Relatedness using Global Relation Vectors. - Shoaib Jameel; Zied Bouraoui; Steven Schockaert (CoRR, 2017)

Unsupervised Learning of Distributional Relation Vectors. - Shoaib Jameel; Zied Bouraoui; Steven Schockaert (ACL (1), 2018)

Relation Induction in Word Embeddings Revisited. - Zied Bouraoui; Shoaib Jameel; Steven Schockaert (COLING, 2018)

Word Embedding as Maximum A Posteriori Estimation. - Shoaib Jameel; Zihao Fu; Bei Shi; Wai Lam; Steven Schockaert (AAAI, 2019)

Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors. - Shoaib Jameel; Steven Schockaert (ACL (1), 2019)

The Effect of Scientific Collaboration on CSCW Research: A Scientometric Study. - António Correia; Shoaib Jameel; Daniel Schneider 008; Benjamim Fonseca; Hugo Paredes (CSCWD, 2019)

A Latent Variable Model for Learning Distributional Relation Vectors. - José Camacho-Collados; Luis Espinosa Anke; Shoaib Jameel; Steven Schockaert (IJCAI, 2019)

Development of a Crowd-Powered System Architecture for Knowledge Discovery in Scientific Domains. - António Correia; Benjamim Fonseca; Hugo Paredes; Daniel Schneider 008; Shoaib Jameel (SMC, 2019)

Towards Hybrid Crowd-AI Centered Systems: Developing an Integrated Framework from an Empirical Perspective. - António Correia; Hugo Paredes; Daniel Schneider 008; Shoaib Jameel; Benjamim Fonseca (SMC, 2019)

Hybrid Machine-Crowd Interaction for Handling Complexity: Steps Toward a Scaffolding Design Framework. - António Correia; Shoaib Jameel; Hugo Paredes; Benjamim Fonseca; Daniel Schneider 008 (Macrotask Crowdsourcing, 2019)

A Workflow-Based Methodological Framework for Hybrid Human-AI Enabled Scientometrics. - António Correia; Shoaib Jameel; Daniel Schneider 008; Hugo Paredes; Benjamim Fonseca (IEEE BigData, 2020)

Dynamic Topic Tracker for KB-to-Text Generation. - Zihao Fu; Lidong Bing; Wai Lam; Shoaib Jameel (COLING, 2020)

Theoretical Underpinnings and Practical Challenges of Crowdsourcing as a Mechanism for Academic Study. - António Correia; Shoaib Jameel; Daniel Schneider 008; Benjamim Fonseca; Hugo Paredes (HICSS, 2020)

Empirical Investigation of the Factors Influencing Researchers' Adoption of Crowdsourcing and Machine Learning. - António Correia; Daniel Schneider 008; Shoaib Jameel; Hugo Paredes; Benjamim Fonseca (ISDA, 2020)

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. - Hamad Zogan; Xianzhi Wang 001; Shoaib Jameel; Guandong Xu (CoRR, 2020)

Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific Discovery. - António Correia; Benjamim Fonseca; Hugo Paredes; Ramon Chaves; Daniel Schneider 008; Shoaib Jameel (IEEE BigData, 2021)

Click-Through Rate Prediction with Multi-Modal Hypergraphs. - Li He; Hongxu Chen 002; Dingxian Wang; Shoaib Jameel; Philip S. Yu; Guandong Xu (CIKM, 2021)

AuthCrowd: Author Name Disambiguation and Entity Matching using Crowdsourcing. - António Correia; Diogo Guimarães; Dennis Paulino; Shoaib Jameel; Daniel Schneider 008; Benjamim Fonseca; Hugo Paredes (CSCWD, 2021)

Scientometric Research Assessment of IEEE CSCWD Conference Proceedings: An Exploratory Analysis from 2001 to 2019. - António Correia; Dennis Paulino; Hugo Paredes; Benjamim Fonseca; Shoaib Jameel; Daniel Schneider 008; Jano Moreira de Souza (CSCWD, 2021)

Few-Shot Image Classification with Multi-Facet Prototypes. - Kun Yan; Zied Bouraoui; Ping Wang 003; Shoaib Jameel; Steven Schockaert (ICASSP, 2021)

Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. - Kun Yan; Zied Bouraoui; Ping Wang 003; Shoaib Jameel; Steven Schockaert (ICMR, 2021)

DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (SIGIR, 2021)

Emojional: Emoji Embeddings. - Elena Barry; Shoaib Jameel; Haider Raza (UKCI, 2021)

Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition. - Alberto José Benayas Álamos; Reyhaneh Hashempour; Damian Rumble; Shoaib Jameel; Renato Cordeiro de Amorim (IEEE Access, 2021)

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2021)

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. - Jun Jason Zhang; Fei-Yue Wang 001; Yong Yuan; Guandong Xu; Huan Liu 001; Wei Gao 001; Shoaib Jameel; Imran Razzak; Peter W. Eklund; Sheraz Ahmed; Rui Qin 002; Juanjuan Li; et al. (IEEE Trans. Comput. Soc. Syst., 2021)

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. - Jianlong Zhou; Hamad Zogan; Shuiqiao Yang; Shoaib Jameel; Guandong Xu; Fang Chen 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. - Kun Yan; Chenbin Zhang; Jun Hou; Ping Wang 003; Zied Bouraoui; Shoaib Jameel; Steven Schockaert (AAAI, 2022)

Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion. - Mahsa Abazari Kia; Aygul Garifullina; Mathias Kern; Jon Chamberlain; Shoaib Jameel (IEEE Access, 2022)

CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures. - Sujit Roy; Gnaneswara Rao Gorle; Vishal Gaur; Haider Raza; Shoaib Jameel (CoRR, 2022)

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. - Hamad Zogan; Imran Razzak; Xianzhi Wang 001; Shoaib Jameel; Guandong Xu (World Wide Web, 2022)

Topics in Contextualised Attention Embeddings. - Mozhgan Talebpour; Alba García Seco de Herrera; Shoaib Jameel (ECIR (2), 2023)

CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback. - Sujit Roy; Vishal Gaur; Haider Raza; Shoaib Jameel (IEEE Access, 2023)

A hybrid human-AI tool for scientometric analysis. - António Correia; Andrea Grover; Shoaib Jameel; Daniel Schneider 008; Pedro Antunes 001; Benjamim Fonseca (Artif. Intell. Rev., 2023)

Graph-Aware Deep Fusion Networks for Online Spam Review Detection. - Li He; Guandong Xu; Shoaib Jameel; Xianzhi Wang 001; Hongxu Chen 002 (IEEE Trans. Comput. Soc. Syst., 2023)

NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection. - António Correia; Diogo Guimarães; Hugo Paredes; Benjamim Fonseca; Dennis Paulino; Luís Trigo; Pavel Brazdil; Daniel Schneider 008; Andrea Grover; Shoaib Jameel (IEEE Trans. Hum. Mach. Syst., 2023)

CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. - Abdullah Alsuhaibani; Imran Razzak; Shoaib Jameel; Xianzhi Wang 001; Guandong Xu (WISE (4), 2024)

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 (WISE (4), 2024)

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. - Abdullah Alsuhaibani; Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (WSDM, 2024)

BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction. - Ubaid Azam; Imran Razzak; Shelly Vishwakarma; Hakim Hacid; Dell Zhang; Shoaib Jameel (CoRR, 2024)

NarrationDep: Narratives on Social Media For Automatic Depression Detection. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2024)

Modelling Multi-modal Cross-interaction for ML-FSIC Based on Local Feature Selection. - Kun Yan; Zied Bouraoui; Fangyun Wei; Chang Xu 002; Ping Wang 003; Shoaib Jameel; Steven Schockaert (CoRR, 2024)

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (IEEE J. Biomed. Health Informatics, 2024)

Question-driven text summarization using an extractive-abstractive framework. - Mahsa Abazari Kia; Aygul Garifullina; Mathias Kern; Jon Chamberlain; Shoaib Jameel (Comput. Intell., 2024)

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)

Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes. - Ubaid Azam; Imran Razzak; Shelly Vishwakarma; Shoaib Jameel (COLING, 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)

Bias in Language Models: Interplay of Architecture and Data? - Mozhgan Talebpour; Yunfei Long; Alba Garcia Seco de Herrera; Shoaib Jameel (SIGIR, 2025)

BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling. - Ubaid Azam; Imran Razzak; Shelly Vishwakarma; Hakim Hacid; Dell Zhang; Shoaib Jameel (WSDM, 2025)

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 (WSDM, 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)

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)

Long Context Modeling with Ranked Memory-Augmented Retrieval. - Ghadir Alselwi; Hao Xue 001; Shoaib Jameel; Basem Suleiman; Flora D. Salim; Imran Razzak (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)

Modeling Multi-modal Cross-interaction for Multi-label Few-shot Image Classification Based on Local Feature Selection. - Kun Yan; Zied Bouraoui; Fangyun Wei; Chang Xu 002; Ping Wang 003; Shoaib Jameel; Steven Schockaert (ACM Trans. Multim. Comput. Commun. Appl., 2025)

LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. - Lingzhi Shen; Yunfei Long; Xiaohao Cai; Guanming Chen; Yuhan Wang; Imran Razzak; Shoaib Jameel (CoRR, 2025)

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 (CoRR, 2025)

The Eye as a Window to Systemic Health: A Survey of Retinal Imaging from Classical Techniques to Oculomics. - Inamullah; Imran Razzak; Shoaib Jameel (CoRR, 2025)

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. - Jianghao Wu 007; Feilong Tang; Yulong Li; Ming Hu; Haochen Xue; Shoaib Jameel; Yutong Xie 001; Imran Razzak (CoRR, 2025)

DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification. - Youssef Mohamed; Noran Mohamed; Khaled Abouhashad; Feilong Tang; Sara Atito 001; Shoaib Jameel; Imran Razzak; Ahmed B. Zaky (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)

Integrated Oculomics and Lipidomics Reveal Microvascular Metabolic Signatures Associated with Cardiovascular Health in a Healthy Cohort. - Inamullah; Ernesto Elias Vidal Rosas; Imran Razzak; Shoaib Jameel (CoRR, 2025)

Retinal Lipidomics Associations as Candidate Biomarkers for Cardiovascular Health. - Inamullah; Imran Razzak; Shoaib Jameel (CoRR, 2025)