People

Dr Shoaib Jameel

Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Shoaib Jameel
  • Email

  • Telephone

    +44 (0) 1206 872801

  • Location

    5A.529, Colchester Campus

  • Academic support hours

    1. Tuesday: 1:00 PM until 2:00 PM 2. Wednesday: 11:00 AM until 12:00 PM.

Profile

Biography

My work revolves around proposing novel computational methods for machine learning with applications to text mining. Specifically, my work has centred around learning low-dimensional representations of natural language text on a large-scale. Among others, I have developed a variety of probabilistic topic models, which have seen applications in text mining and information retrieval, as well as vector space embeddings, which have shown promising results in tasks such as knowledge base completion and commonsense reasoning. You can find more about me here: https://bashthebuilder.github.io/

Qualifications

  • PhD The Chinese University of Hong Kong, (2014)

Teaching and supervision

Current teaching responsibilities

  • Information Retrieval (CE306)

  • Information Retrieval (CE706)

  • Team Project Challenge (CS) (CE291)

  • Team Project Challenge (CSE) (CE292)

  • Team Project Challenge (WBL) (CE299)

Publications

Journal articles (3)

Jameel, S., Lam, W. and Bing, L., (2015). Supervised topic models with word order structure for document classification and retrieval learning. Information Retrieval Journal. 18 (4), 283-330

Bing, L., Jiang, S., Lam, W., Zhang, Y. and Jameel, S., (2015). Adaptive Concept Resolution for document representation and its applications in text mining. Knowledge-Based Systems. 74, 1-13

Bing, L., Lam, W., Wong, T-L. and Jameel, S., (2015). Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. ACM Transactions on Information Systems. 33 (2), 1-38

Conferences (27)

Correia, A., Fonseca, B., Paredes, H., Schneider, D. and Jameel, S., (2019). Development of a Crowd-Powered System Architecture for Knowledge Discovery in Scientific Domains

Correia, A., Paredes, H., Schneider, D., Jameel, S. and Fonseca, B., (2019). Towards Hybrid Crowd-AI Centered Systems: Developing an Integrated Framework from an Empirical Perspective

Camacho-Collados, J., Espinosa-Anke, L., Jameel, S. and Schockaert, S., (2019). A latent variable model for learning distributional relation vectors

Correia, A., Jameel, S., Schneider, D., Fonseca, B. and Paredes, H., (2019). The Effect of Scientific Collaboration on CSCW Research: A Scientometric Study

Jameel, S., Bouraoui, Z. and Schockaert, S., (2018). Unsupervised learning of distributional relation vectors

Jameel, S. and Schockaert, S., (2017). Modeling context words as regions: An ordinal regression approach to word embedding

Shi, B., Lam, W., Jameel, S., Schockaert, S. and Lai, KP., (2017). Jointly Learning Word Embeddings and Latent Topics

Jameel, S., Bouraoui, Z. and Schockaert, S., (2017). MEmbER

Jameel, S. and Schockaert, S., (2016). D-GloVe: A feasible least squares model for estimating word embedding densities

Jameel, S. and Schockaert, S., (2016). Entity embeddings with conceptual subspaces as a basis for plausible reasoning

Schockaert, S. and Jameel, S., (2016). Plausible reasoning based on qualitative entity embeddings

Liao, Y., Lam, W., Jameel, S., Schockaert, S. and Xie, X., (2016). Who Wants to Join Me?

Jameel, S., Liao, Y., Lam, W., Schockaert, S. and Xie, X., (2016). Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model

Liu, P., Jameel, S., Wu, KK. and Meng, H., (2016). Learning Track Representation and Trends for Conference Analytics

Liu, P., Jameel, S., Lam, W., Ma, B. and Meng, H., (2015). Topic modeling for conference analytics

Jameel, S., Lam, W., Schockaert, S. and Bing, L., (2015). A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank

Liao, Y., Jameel, S., Lam, W. and Xie, X., (2015). Abstract Venue Concept Detection from Location-Based Social Networks

Jameel, S., Lam, W. and Bing, L., (2015). Nonparametric topic modeling using chinese restaurant franchise with buddy customers

Bing, L., Lam, W., Jameel, S. and Lu, C., (2014). Website Community Mining from Query Logs with Two-Phase Clustering

Jameel, S. and Lam, W., (2013). A Nonparametric N-Gram Topic Model with Interpretable Latent Topics

Jameel, S. and Lam, W., (2013). An unsupervised topic segmentation model incorporating word order

Jameel, S. and Lam, W., (2013). An N-Gram Topic Model for Time-Stamped Documents

Jameel, S., Lam, W. and Qian, X., (2012). Ranking Text Documents Based on Conceptual Difficulty Using Term Embedding and Sequential Discourse Cohesion

Jameel, S., Qian, X. and Lam, W., (2012). N-gram fragment sequence based unsupervised domain-specific document readability

Jameel, S. and Qian, X., (2012). An Unsupervised Technical Readability Ranking Model by Building a Conceptual Terrain in LSI

Jameel, S., Lam, W., Qian, X. and Au Yeung, C-M., (2012). An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space

Jameel, S., Lam, W., Au Yeung, C-M. and Chyan, S., (2011). An unsupervised ranking method based on a technical difficulty terrain

Contact

shoaib.jameel@essex.ac.uk
+44 (0) 1206 872801

Location:

5A.529, Colchester Campus

Academic support hours:

1. Tuesday: 1:00 PM until 2:00 PM 2. Wednesday: 11:00 AM until 12:00 PM.

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