b'Guandong Xu'

Stochastic Intervention for Causal Inference via Reinforcement Learning

Causal inference methods are widely applied in various decision-making d...
05/28/2021 ∙ by Tri Dung Duong, et al. ∙ 0 ∙ share

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Stochastic Intervention for Causal Effect Estimation

Causal inference methods are widely applied in various decision-making d...
05/27/2021 ∙ by Tri Dung Duong, et al. ∙ 0 ∙ share

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DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media

Twitter is currently a popular online social media platform which allows...
05/23/2021 ∙ by Hamad Zogan, et al. ∙ 0 ∙ share

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Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems

Hyperbolic space and hyperbolic embeddings are becoming a popular resear...
05/19/2021 ∙ by Sixiao Zhang, et al. ∙ 0 ∙ share

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Be Causal: De-biasing Social Network Confounding in Recommendation

In recommendation systems, the existence of the missing-not-at-random (M...
05/17/2021 ∙ by Qian Li, et al. ∙ 0 ∙ share

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Prototype-based Counterfactual Explanation for Causal Classification

Counterfactual explanation is one branch of interpretable machine learni...
05/03/2021 ∙ by Tri Dung Duong, et al. ∙ 0 ∙ share

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TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers

At present, most research on the fairness of recommender systems is cond...
04/19/2021 ∙ by Yao Wu, et al. ∙ 10 ∙ share

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A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics

Learning and analyzing rap lyrics is a significant basis for many web ap...
03/23/2021 ∙ by Hongru Liang, et al. ∙ 4 ∙ share

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NaturalCC: A Toolkit to Naturalize the Source Code Corpus

We present NaturalCC, an efficient and extensible toolkit to bridge the ...
12/06/2020 ∙ by Yao Wan, et al. ∙ 0 ∙ share

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FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint

An excessive number of customers often leads to a degradation in service...
12/02/2020 ∙ by Yao Wu, et al. ∙ 0 ∙ share

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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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Guandong Xu

Featured Co-authors

Jun Wang

Philip S. Yu

Yue Wang

Caiming Xiong

Yi Yu

Zhou Zhao

Jian Wu

Ivor W. Tsang

Lin Li

Qian Li

Min Yang

Stochastic Intervention for Causal Inference via Reinforcement Learning

Stochastic Intervention for Causal Effect Estimation

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems

Be Causal: De-biasing Social Network Confounding in Recommendation

Prototype-based Counterfactual Explanation for Causal Classification

TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers

A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics

NaturalCC: A Toolkit to Naturalize the Source Code Corpus

FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint

Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection

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

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

Causality Learning: A New Perspective for Interpretable Machine Learning

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

Generative Temporal Link Prediction via Self-tokenized Sequence Modeling

Multi-Modal Attention Network Learning for Semantic Source Code Retrieval

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

Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Target-Independent Active Learning via Distribution-Splitting

A Structured Perspective of Volumes on Active Learning

Geometric Active Learning via Enclosing Ball Boundary

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