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- The University of SydneyAU198 papers
- Centre for Quantum Computation and Communication TechnologyAU120 papers
- UNSW SydneyAU97 papers
- Australian National UniversityAU88 papers
- Tsinghua UniversityCN80 papers
- Commonwealth Scientific and Industrial Research OrganisationAU75 papers
- Chinese Academy of SciencesCN74 papers
- Macquarie UniversityAU68 papers
- The University of MelbourneAU50 papers
- Data61AU43 papers
- ARC Centre of Excellence for Transformative Meta-Optical SystemsAU41 papers
- Nanyang Technological UniversitySG41 papers
193 papers · 1 filter
Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang +3
The emerging topic of sequential recommender systems has attracted increasing attention in recent years.Different from the conventional recommender systems including collaborative…
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems
Wei Huang, Richard Yi Da Xu
Context-aware recommender systems (CARS) have gained increasing attention due to their ability to utilize contextual information. Compared to traditional recommender systems, CARS…
RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities
Diego Rodriguez, Hafez Farazi, Grzegorz Ficht +7
Individual and team capabilities are challenged every year by rule changes and the increasing performance of the soccer teams at RoboCup Humanoid League. For RoboCup 2019 in the Ad…
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs
Dawei Cheng, Chen Chen, Xiaoyang Wang +1
Uncertain graphs have been widely used to model complex linked data in many real-world applications, such as guaranteed-loan networks and power grids, where a node or edge may be a…
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis
Chandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin +1
In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly. Such within-writer variation throws a challenge for automat…
Unsupervised Scene Adaptation with Memory Regularization in vivo
Zhedong Zheng, Yi Yang
We consider the unsupervised scene adaptation problem of learning from both labeled source data and unlabeled target data. Existing methods focus on minoring the inter-domain gap b…