This is not an exhaustive list of my publications. In this page, I have tried to highlight some of the interesting projects that I have worked on in the past where I proposed novel computational methods. For a detailed list of my publications, please refer to my Google Scholar page or my CV.

1. Conceptual Spaces

YearPaper TitleVenuePDF
2017MEmbER: Max-Margin Based Embeddings for Entity RetrievalSIGIRPDF
2017Inductive Reasoning about Ontologies Using Conceptual SpacesAAAIPDF
2016Entity Embeddings with Conceptual Subspaces as a Basis for Plausible ReasoningECAIPDF
2016Plausible Reasoning based on Qualitative Entity EmbeddingsIJCAIPDF

More details about these works can also be found in the Flexilog page.

2. Depression Modelling on Online Social Networks

YearPaper TitleVenuePDF
2020Detecting Community Depression Dynamics Due to COVID-19 Pandemic in AustraliaIEEE TCSSPDF
2021DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social MediaSIGIRPDF

3. Few-shot Image Classification with Contextual Language Models

YearPaper TitleVenuePDF
2021Few-shot Image Classification with Multi-Facet PrototypesICASSPPDF
2021Aligning Visual Prototypes with BERT Embeddings for Few-Shot LearningICMRPDF

4. Playing with Word Vectors

YearPaper TitleVenuePDF
2019Word and Document Embedding with vMF-Mixture Priors on Context Word VectorsACLPDF
2019Word Embedding as Maximum A Posteriori EstimationAAAIPDF
2017Modeling Context Words as Regions: An Ordinal Regression Approach to Word EmbeddingCoNLLPDF
2017Jointly Learning Word Embeddings and Latent TopicsSIGIRPDF
2016D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding DensitiesCOLINGPDF

5. Relational Distributional Vectors

YearPaper TitleVenuePDF
2019A Latent Variable Model for Learning Distributional Relation VectorsIJCAIPDF
2018Relation Induction in Word Embeddings RevisitedCOLINGPDF
2018Unsupervised Learning of Distributional Relation VectorsACLPDF

6. Neural Text Generation

YearPaper TitleVenuePDF
2020Dynamic Topic Tracker for KB-to-Text GenerationCOLINGPDF

7. Human-Machine Cooperation and Systems

YearPaper TitleVenuePDF
2019Towards Hybrid Crowd-AI Centered Systems: Developing an Integrated Framework from an Empirical perspectiveSMCPDF
2019Development of a Crowd-powered System Architecture for Knowledge Discovery in Scientific DomainsSMCPDF
2019Hybrid Machine-crowd Interaction for Handling Complexity: Steps Toward a Scaffolding Design FrameworkHCI SpringerPDF

8. Urban Human Computing

YearPaper TitleVenuePDF
2016Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical ModelICTIRPDF
2015Abstract Venue Concept Detection from Location-Based Social NetworksAIRSPDF

9. Collaboration Systems and Technologies

YearPaper TitleVenuePDF
2019The Effect of Scientific Collaboration on CSCW Research: A Scientometric StudyCSCWDPDF
2019Theoretical Underpinnings and Practical Challenges of Crowdsourcing as a Mechanism for Academic StudyHICSSPDF

10. Posterior Regularisation using Graphical Models

YearPaper TitleVenuePDF
2015A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-RankCIKMPDF
2015Supervised Topic Models with Word Order Structure for Document Classification and Retrieval LearningIRJPDF

11. Readability with Word Order

YearPaper TitleVenuePDF
2012N-gram Fragment Sequence Based Unsupervised Domain-Specific Document ReadabilityCOLINGPDF
2012An unsupervised technical difficulty ranking model based on conceptual terrain in the latent spaceJCDLPDF
2012An Unsupervised Technical Readability Ranking Model by Building a Conceptual Terrain in LSISKGPDF
2012Ranking Text Documents based on Conceptual Difficulty using Term Embedding and Sequential Discourse CohesionWICPDF
2011An unsupervised ranking method based on a technical difficulty terrainCIKMPDF

12. Structured Topic Models

YearPaper TitleVenuePDF
2013An N-gram Topic Model for Time-Stamped DocumentsECIRPDF
2013An Unsupervised Topic Segmentation Model Incorporating Word OrderSIGIRPDF

13. Bayesian Non-parametrics

YearPaper TitleVenuePDF
2015Nonparametric Topic Modeling using Chinese Restaurant Franchise with Buddy CustomersECIRPDF
2013A Nonparametric N-Gram Topic Model with Interpretable Latent TopicsAIRSPDF