Sihong Xie

According to our database1, Sihong Xie authored at least 70 papers between 2008 and 2022.

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Bibliography

2022
Subgroup Fairness in Graph-based Spam Detection.
CoRR, 2022

Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection.
CoRR, 2022

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Explaining GNN over Evolving Graphs using Information Flow.
CoRR, 2021

Formation Mechanisms and Clustering Differences in Risky Riding Behaviors of Electric Bike Riders.
IEEE Access, 2021

Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The Third International TrueFact Workshop: Making a Credible Web for Tomorrow.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Truth Discovery in Sequence Labels from Crowds.
Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-objective Explanations of GNN Predictions.
Proceedings of the IEEE International Conference on Data Mining, 2021

Self-learn to Explain Siamese Networks Robustly.
Proceedings of the IEEE International Conference on Data Mining, 2021

Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Rigorous Explanation of Inference on Probabilistic Graphical Models.
CoRR, 2020

Robust Spammer Detection by Nash Reinforcement Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Active Search using Meta-Bandits.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
IAD: Interaction-Aware Diffusion Framework in Social Networks.
IEEE Trans. Knowl. Data Eng., 2019

Scalable Explanation of Inferences on Large Graphs.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Virtual Adversarial Training for Semi-supervised Verification Tasks.
Proceedings of the 27th European Signal Processing Conference, 2019

MARS: Memory Attention-Aware Recommender System.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Transductive Learning Via Improved Geodesic Sampling.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
MARS: Memory Attention-Aware Recommender System.
CoRR, 2018

Next Generation Trustworthy Fraud Detection.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

PER: A Probabilistic Attentional Model for Personalized Text Recommendations.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Semi-supervised Deep Representation Learning for Multi-View Problems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Securing Behavior-based Opinion Spam Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Probabilistic cleaning over trajectory events of mobile RFID objects.
ACM SIGSPATIAL Special, 2017

基于无监督学习的移动心电信号异常诊断研究 (Study on Abnormal Diagnosis of Moving ECG Signals Based on Unsupervised Learning).
计算机科学, 2017

Active zero-shot learning: a novel approach to extreme multi-labeled classification.
Int. J. Data Sci. Anal., 2017

Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

SEVEN: Deep Semi-supervised Verification Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Product function need recognition via semi-supervised attention network.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Efficient Revenue Maximization for Viral Marketing in Social Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement.
ACM Trans. Intell. Syst. Technol., 2016

Clustering Embedded Approaches for Efficient Information Network Inference.
Data Sci. Eng., 2016

HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer.
Proceedings of the 25th International Conference on World Wide Web, 2016

Two-Phase Mining for Frequent Closed Episodes.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Item Recommendation for Emerging Online Businesses.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-source Hierarchical Prediction Consolidation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Active Zero-Shot Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

HEER: Heterogeneous graph embedding for emerging relation detection from news.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Interpretable and effective opinion spam detection via temporal patterns mining across websites.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Constructing plausible innocuous pseudo queries to protect user query intention.
Inf. Sci., 2015

Efficient Partial Order Preserving Unsupervised Feature Selection on Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

OnlineCM: Real-time Consensus Classification with Missing Values.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

CENI: A Hybrid Framework for Efficiently Inferring Information Networks.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

A context-aware approach to detection of short irrelevant texts.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

An effective and economic bi-level approach to ranking and rating spam detection.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Learning Entity Types from Query Logs via Graph-Based Modeling.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Inferring the impacts of social media on crowdfunding.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Future Influence Ranking of Scientific Literature.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Trajectory Event Cleaning for Mobile RFID Objects.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Class-distribution regularized consensus maximization for alleviating overfitting in model combination.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks.
CoRR, 2013

Multilabel Consensus Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

An effective latent networks fusion based model for event recommendation in offline ephemeral social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Identify Online Store Review Spammers via Social Review Graph.
ACM Trans. Intell. Syst. Technol., 2012

Review spam detection via time series pattern discovery.
Proceedings of the 21st World Wide Web Conference, 2012

An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Review spam detection via temporal pattern discovery.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Relevance search in heterogeneous networks.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011
Review Graph Based Online Store Review Spammer Detection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Efficient and Numerically Stable Sparse Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009
Latent space domain transfer between high dimensional overlapping distributions.
Proceedings of the 18th International Conference on World Wide Web, 2009

2008
Graph-Based Iterative Hybrid Feature Selection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008


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