Shoaib Jameel - RankMe

113 papers A* 11A 12B 12C 4Misc 3Journal 51Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CALM: Culturally Self-Aware Language Models. CoRR Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel
2026	J	`jnl`	Cluster-SCP: Similarity and Contrastive Learning to Enhance Pseudo Labels for Fine Tuning under Few Labels. World Wide Web (WWW) Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu
2026	J	`jnl`	Mitigating Preference Leakage via Strict Estimator Separation for Normative Generative Ranking. CoRR Dalia Nahhas, Xiaohao Cai, Imran Razzak, Shoaib Jameel
2025	A	`conf`	BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling. WSDM Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2025	A*	`conf`	Bias in Language Models: Interplay of Architecture and Data? SIGIR Mozhgan Talebpour, Yunfei Long, Alba Garcia Seco de Herrera, Shoaib Jameel
2025	B	`conf`	DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-Ray Classification. IEEE Big Data Youssef Mohamed, Noran Mohamed, Khaled Abouhashad, Feilong Tang, Sara Atito, Shoaib Jameel, Imran Razzak, Ahmed B. Zaky
2025	J	`jnl`	DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification. CoRR Youssef Mohamed, Noran Mohamed, Khaled Abouhashad, Feilong Tang, Sara Atito, Shoaib Jameel, Imran Razzak, Ahmed B. Zaky
2025	A*	`conf`	DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. WWW Usman Naseem, Liang Hu, Qi Zhang, Shoujin Wang, Shoaib Jameel
2025	A	`conf`	EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. CIKM Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel
2025	J	`jnl`	EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. CoRR Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel
2025	J	`jnl`	Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer. CoRR Shijing Chen, Shoaib Jameel, Mohamed Reda Bouadjenek, Feilong Tang, Usman Naseem, Basem Suleiman, Hakim Hacid, Flora D. Salim, Imran Razzak
2025	—	`conf`	Enhancing Large Language Models for Arabic Dialects Using Knowledge-Based Rethinking and Contrastive Learning. ASONAM (3) Abdulsalam obaid Alharbi, Shoaib Jameel, Basem Suleiman, Imran Razzak
2025	—	`conf`	Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects. COLING Workshops Abdulsalam obaid Alharbi, Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, Usman Naseem, Shoaib Jameel, Salil S. Kanhere, Imran Razzak
2025	—	`conf`	Few Labels with Active Learning: From Weak to Strong Labels for Misinformation Detection. WWW (Companion Volume) Abdulrahman Abdullah Alalawi, Abdullah Alsuhaibani, Usman Naseem, Basem Suleiman, Shoaib Jameel, Imran Razzak
2025	J	`jnl`	Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages. CoRR Ali Almutairi, Abdullah Alsuhaibani, Shoaib Jameel, Usman Naseem, Gelareh Mohammadi, Imran Razzak
2025	A	`conf`	GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. WSDM Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel
2025	J	`jnl`	HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection. CoRR Guanming Chen, Lingzhi Shen, Xiaohao Cai, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network. CoRR Yifan Lu, Ziyun Zou, Belal Alsinglawi, Islam Al-Qudah, Izzat Alsmadi, Feilong Tang, Pengfei Jiao, Shoaib Jameel
2025	J	`jnl`	Integrated Oculomics and Lipidomics Reveal Microvascular Metabolic Signatures Associated with Cardiovascular Health in a Healthy Cohort. CoRR Inamullah, Ernesto Elias Vidal Rosas, Imran Razzak, Shoaib Jameel
2025	A	`conf`	LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. ICME Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. CoRR Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak, Shoaib Jameel
2025	B	`conf`	Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. IJCNN Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. CoRR Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel
2025	B	`conf`	Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. COLING Shijing Chen, Mohamed Reda Bouadjenek, Usman Naseem, Basem Suleiman, Shoaib Jameel, Flora D. Salim, Hakim Hacid, Imran Razzak
2025	J	`jnl`	Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. CoRR Shijing Chen, Mohamed Reda Bouadjenek, Shoaib Jameel, Usman Naseem, Basem Suleiman, Flora D. Salim, Hakim Hacid, Imran Razzak
2025	J	`jnl`	Long Context Modeling with Ranked Memory-Augmented Retrieval. CoRR Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak
2025	J	`jnl`	Modeling Multi-modal Cross-interaction for Multi-label Few-shot Image Classification Based on Local Feature Selection. ACM Trans. Multim. Comput. Commun. Appl. Kun Yan, Zied Bouraoui, Fangyun Wei, Chang Xu, Ping Wang, Shoaib Jameel, Steven Schockaert
2025	J	`jnl`	Retinal Lipidomics Associations as Candidate Biomarkers for Cardiovascular Health. CoRR Inamullah, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. CoRR Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Yutong Xie, Imran Razzak
2025	J	`jnl`	The Eye as a Window to Systemic Health: A Survey of Retinal Imaging from Classical Techniques to Oculomics. CoRR Inamullah, Imran Razzak, Shoaib Jameel
2025	B	`conf`	Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes. COLING Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Shoaib Jameel
2024	J	`jnl`	BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction. CoRR Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2024	—	`conf`	CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. WISE (4) Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu
2024	J	`jnl`	GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. CoRR Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel
2024	J	`jnl`	Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. IEEE J. Biomed. Health Informatics Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024	A	`conf`	IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. WSDM Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024	J	`jnl`	IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. CoRR Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024	J	`jnl`	Modelling Multi-modal Cross-interaction for ML-FSIC Based on Local Feature Selection. CoRR Kun Yan, Zied Bouraoui, Fangyun Wei, Chang Xu, Ping Wang, Shoaib Jameel, Steven Schockaert
2024	J	`jnl`	NarrationDep: Narratives on Social Media For Automatic Depression Detection. CoRR Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024	J	`jnl`	Question-driven text summarization using an extractive-abstractive framework. Comput. Intell. Mahsa Abazari Kia, Aygul Garifullina, Mathias Kern, Jon Chamberlain, Shoaib Jameel
2024	—	`conf`	Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. WISE (4) Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2024	J	`jnl`	Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. CoRR Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2023	J	`jnl`	A hybrid human-AI tool for scientometric analysis. Artif. Intell. Rev. António Correia, Andrea Grover, Shoaib Jameel, Daniel Schneider, Pedro Antunes, Benjamim Fonseca
2023	J	`jnl`	CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback. IEEE Access Sujit Roy, Vishal Gaur, Haider Raza, Shoaib Jameel
2023	J	`jnl`	Graph-Aware Deep Fusion Networks for Online Spam Review Detection. IEEE Trans. Comput. Soc. Syst. Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen
2023	J	`jnl`	NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection. IEEE Trans. Hum. Mach. Syst. António Correia, Diogo Guimarães, Hugo Paredes, Benjamim Fonseca, Dennis Paulino, Luís Trigo, Pavel Brazdil, Daniel Schneider, Andrea Grover, Shoaib Jameel
2023	—	`conf`	Topics in Contextualised Attention Embeddings. ECIR (2) Mozhgan Talebpour, Alba García Seco de Herrera, Shoaib Jameel
2023	J	`jnl`	Topics in Contextualised Attention Embeddings. CoRR Mozhgan Talebpour, Alba Garcia Seco de Herrera, Shoaib Jameel
2022	J	`jnl`	Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion. IEEE Access Mahsa Abazari Kia, Aygul Garifullina, Mathias Kern, Jon Chamberlain, Shoaib Jameel
2022	J	`jnl`	CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures. CoRR Sujit Roy, Gnaneswara Rao Gorle, Vishal Gaur, Haider Raza, Shoaib Jameel
2022	J	`jnl`	Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu
2022	A*	`conf`	Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. AAAI Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert
2021	B	`conf`	Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. ICMR Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert
2021	J	`jnl`	Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. CoRR Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert
2021	C	`conf`	AuthCrowd: Author Name Disambiguation and Entity Matching using Crowdsourcing. CSCWD António Correia, Diogo Guimarães, Dennis Paulino, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes
2021	A	`conf`	Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021	J	`jnl`	DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. CoRR Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2021	A*	`conf`	DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. SIGIR Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2021	J	`jnl`	Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Trans. Comput. Soc. Syst. Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen
2021	—	`conf`	Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific Discovery. IEEE BigData António Correia, Benjamim Fonseca, Hugo Paredes, Ramon Chaves, Daniel Schneider, Shoaib Jameel
2021	—	`conf`	Emojional: Emoji Embeddings. UKCI Elena Barry, Shoaib Jameel, Haider Raza
2021	Misc	`conf`	Few-Shot Image Classification with Multi-Facet Prototypes. ICASSP Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert
2021	J	`jnl`	Few-shot Image Classification with Multi-Facet Prototypes. CoRR Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert
2021	J	`jnl`	Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen
2021	J	`jnl`	Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. CoRR Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert
2021	C	`conf`	Scientometric Research Assessment of IEEE CSCWD Conference Proceedings: An Exploratory Analysis from 2001 to 2019. CSCWD António Correia, Dennis Paulino, Hugo Paredes, Benjamim Fonseca, Shoaib Jameel, Daniel Schneider, Jano Moreira de Souza
2021	J	`jnl`	Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition. IEEE Access Alberto José Benayas Álamos, Reyhaneh Hashempour, Damian Rumble, Shoaib Jameel, Renato Cordeiro de Amorim
2020	—	`conf`	A Workflow-Based Methodological Framework for Hybrid Human-AI Enabled Scientometrics. IEEE BigData António Correia, Shoaib Jameel, Daniel Schneider, Hugo Paredes, Benjamim Fonseca
2020	J	`jnl`	Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. CoRR Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu
2020	J	`jnl`	Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. CoRR Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen
2020	B	`conf`	Dynamic Topic Tracker for KB-to-Text Generation. COLING Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel
2020	C	`conf`	Empirical Investigation of the Factors Influencing Researchers' Adoption of Crowdsourcing and Machine Learning. ISDA António Correia, Daniel Schneider, Shoaib Jameel, Hugo Paredes, Benjamim Fonseca
2020	—	`conf`	Theoretical Underpinnings and Practical Challenges of Crowdsourcing as a Mechanism for Academic Study. HICSS António Correia, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes
2019	A*	`conf`	A Latent Variable Model for Learning Distributional Relation Vectors. IJCAI José Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert
2019	B	`conf`	Development of a Crowd-Powered System Architecture for Knowledge Discovery in Scientific Domains. SMC António Correia, Benjamim Fonseca, Hugo Paredes, Daniel Schneider, Shoaib Jameel
2019	—	`ch.`	Hybrid Machine-Crowd Interaction for Handling Complexity: Steps Toward a Scaffolding Design Framework. Macrotask Crowdsourcing António Correia, Shoaib Jameel, Hugo Paredes, Benjamim Fonseca, Daniel Schneider
2019	C	`conf`	The Effect of Scientific Collaboration on CSCW Research: A Scientometric Study. CSCWD António Correia, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes
2019	B	`conf`	Towards Hybrid Crowd-AI Centered Systems: Developing an Integrated Framework from an Empirical Perspective. SMC António Correia, Hugo Paredes, Daniel Schneider, Shoaib Jameel, Benjamim Fonseca
2019	A*	`conf`	Word Embedding as Maximum A Posteriori Estimation. AAAI Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert
2019	—	`conf`	Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors. ACL (1) Shoaib Jameel, Steven Schockaert
2018	B	`conf`	Relation Induction in Word Embeddings Revisited. COLING Zied Bouraoui, Shoaib Jameel, Steven Schockaert
2018	—	`conf`	Unsupervised Learning of Distributional Relation Vectors. ACL (1) Shoaib Jameel, Zied Bouraoui, Steven Schockaert
2017	A*	`conf`	Inductive Reasoning about Ontologies Using Conceptual Spaces. AAAI Zied Bouraoui, Shoaib Jameel, Steven Schockaert
2017	A*	`conf`	Jointly Learning Word Embeddings and Latent Topics. SIGIR Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai
2017	J	`jnl`	Jointly Learning Word Embeddings and Latent Topics. CoRR Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai
2017	A*	`conf`	MEmbER: Max-Margin Based Embeddings for Entity Retrieval. SIGIR Shoaib Jameel, Zied Bouraoui, Steven Schockaert
2017	B	`conf`	Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding. CoNLL Shoaib Jameel, Steven Schockaert
2017	J	`jnl`	Modeling Semantic Relatedness using Global Relation Vectors. CoRR Shoaib Jameel, Zied Bouraoui, Steven Schockaert
2017	J	`jnl`	Probabilistic Relation Induction in Vector Space Embeddings. CoRR Zied Bouraoui, Shoaib Jameel, Steven Schockaert
2016	B	`conf`	D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities. COLING Shoaib Jameel, Steven Schockaert
2016	A	`conf`	Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. ECAI Shoaib Jameel, Steven Schockaert
2016	J	`jnl`	Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. CoRR Shoaib Jameel, Steven Schockaert
2016	Misc	`conf`	Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. ICTIR Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie
2016	—	`conf`	Learning Track Representation and Trends for Conference Analytics. HICSS Pengfei Liu, Shoaib Jameel, King Keung Wu, Helen M. Meng
2016	A*	`conf`	Plausible Reasoning Based on Qualitative Entity Embeddings. IJCAI Steven Schockaert, Shoaib Jameel
2016	Misc	`conf`	Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. ICTIR Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie
2015	A	`conf`	A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. CIKM Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing
2015	—	`conf`	Abstract Venue Concept Detection from Location-Based Social Networks. AIRS Yi Liao, Shoaib Jameel, Wai Lam, Xing Xie
2015	J	`jnl`	Adaptive Concept Resolution for document representation and its applications in text mining. Knowl. Based Syst. Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel
2015	A	`conf`	Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. ECIR Shoaib Jameel, Wai Lam, Lidong Bing
2015	J	`jnl`	Supervised topic models with word order structure for document classification and retrieval learning. Inf. Retr. J. Shoaib Jameel, Wai Lam, Lidong Bing
2015	A	`conf`	Topic modeling for conference analytics. INTERSPEECH Pengfei Liu, Shoaib Jameel, Wai Lam, Bin Ma, Helen M. Meng
2015	J	`jnl`	Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. ACM Trans. Inf. Syst. Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel
2014	—	`conf`	Website Community Mining from Query Logs with Two-Phase Clustering. CICLing (2) Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu
2013	—	`conf`	A Nonparametric N-Gram Topic Model with Interpretable Latent Topics. AIRS Shoaib Jameel, Wai Lam
2013	A	`conf`	An N-Gram Topic Model for Time-Stamped Documents. ECIR Shoaib Jameel, Wai Lam
2013	A*	`conf`	An unsupervised topic segmentation model incorporating word order. SIGIR Shoaib Jameel, Wai Lam
2012	—	`conf`	An Unsupervised Technical Readability Ranking Model by Building a Conceptual Terrain in LSI. SKG Shoaib Jameel, Xiaojun Qian
2012	—	`conf`	An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space. JCDL Shoaib Jameel, Wai Lam, Xiaojun Qian, Ching-man Au Yeung
2012	B	`conf`	N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability. COLING Shoaib Jameel, Xiaojun Qian, Wai Lam
2012	—	`conf`	Ranking Text Documents Based on Conceptual Difficulty Using Term Embedding and Sequential Discourse Cohesion. Web Intelligence Shoaib Jameel, Wai Lam, Xiaojun Qian
2011	A	`conf`	An unsupervised ranking method based on a technical difficulty terrain. CIKM Shoaib Jameel, Wai Lam, Ching-man Au Yeung, Sheaujiun Chyan