L
Lelin Zhang
Researcher at University of Sydney
Publications - 14
Citations - 174
Lelin Zhang is an academic researcher from University of Sydney. The author has contributed to research in topics: Search engine indexing & Image retrieval. The author has an hindex of 5, co-authored 13 publications receiving 125 citations. Previous affiliations of Lelin Zhang include Commonwealth Scientific and Industrial Research Organisation & Information Technology University.
Papers
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Journal ArticleDOI
Junk Food Marketing on Instagram: Content Analysis.
TL;DR: Investigating the frequency of images and videos posted by the most popular, energy-dense, nutrient-poor food and beverage brands on Instagram and the marketing strategies used in these images, including any healthy choice claims found a high level of branding and very few health claims.
Proceedings ArticleDOI
A supervised multiview spectral embedding method for neuroimaging classification
TL;DR: This method embeds the high dimensional multi-view features derived from multi-modal neuroimaging data into a low dimensional feature space and preserves the optimal local embeddings among different views.
Journal ArticleDOI
A Scalable Approach for Content-Based Image Retrieval in Peer-to-Peer Networks
TL;DR: This work proposes a dynamic codebook updating method by optimizing the mutual information between the resultant codebook and relevance information, and the workload balance among nodes that manage different codewords, which is scalable in evolving and distributed peer-to-peer networks, while achieving improved retrieval accuracy.
Proceedings ArticleDOI
Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model
TL;DR: The IUP model is a generative Bayesian nonparametric process that is capable of describing a potentially infinite number of urbanization patterns and is developed within the supervised topic modelling framework and is supported by a novel hierarchical spatial distance dependent BayesianNonparametric prior over the spatial region partition space.
Journal ArticleDOI
Exploiting spatial-temporal context for trajectory based action video retrieval
TL;DR: This paper develops a descriptor coding method based on the correlation between spatial-temporal and feature aspects of individual trajectories among trajectories, and develops an offset-aware distance measure for improved trajectory matching.