Guandong Xu

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University of Technology Sydney

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Philip S. Yu
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Ivor W. Tsang
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Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection

Much recent research has shed light on the development of the relation-d...
09/14/2020 ∙ by Jun Yin, et al. ∙ 0 ∙ share

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Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia

The recent COVID-19 pandemic has caused unprecedented impact across the ...
07/05/2020 ∙ by Jianlong Zhou, et al. ∙ 0 ∙ share

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Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media

Social networks enable people to interact with one another by sharing in...
07/03/2020 ∙ by Hamad Zogan, et al. ∙ 0 ∙ share

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Causality Learning: A New Perspective for Interpretable Machine Learning

Recent years have witnessed the rapid growth of machine learning in a wi...
06/27/2020 ∙ by Guandong Xu, et al. ∙ 0 ∙ share

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TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search

Code summarization and code search have been widely adopted in sofwarede...
03/06/2020 ∙ by Wenhua Wang, et al. ∙ 0 ∙ share

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Generative Temporal Link Prediction via Self-tokenized Sequence Modeling

We formalize networks with evolving structures as temporal networks and ...
11/26/2019 ∙ by Yue Wang, et al. ∙ 11 ∙ share

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Multi-Modal Attention Network Learning for Semantic Source Code Retrieval

Code retrieval techniques and tools have been playing a key role in faci...
09/30/2019 ∙ by Yao Wan, et al. ∙ 0 ∙ share

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Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation

Frequent group activities of human beings have become an indispensable p...
08/10/2019 ∙ by Peipei Wang, et al. ∙ 0 ∙ share

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Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Code summarization provides a high level natural language description of...
11/17/2018 ∙ by Yao Wan, et al. ∙ 0 ∙ share

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Target-Independent Active Learning via Distribution-Splitting

To reduce the label complexity in Agnostic Active Learning (A^2 algorith...
09/28/2018 ∙ by Xiaofeng Cao, et al. ∙ 0 ∙ share

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A Structured Perspective of Volumes on Active Learning

Active Learning (AL) is a learning task that requires learners interacti...
07/24/2018 ∙ by Xiaofeng Cao, et al. ∙ 0 ∙ share

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Geometric Active Learning via Enclosing Ball Boundary

Active Learning (AL) requires learners to retrain the classifier with th...
05/31/2018 ∙ by Xiaofeng Cao, et al. ∙ 0 ∙ share

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An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering

Relation detection plays a crucial role in Knowledge Base Question Answe...
01/30/2018 ∙ by Hongzhi Zhang, et al. ∙ 0 ∙ share

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