Dong-Kyu Chae

Orcid: 0000-0002-5410-6391

According to our database1, Dong-Kyu Chae authored at least 51 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fairness and privacy preserving in federated learning: A survey.
Inf. Fusion, May, 2024

A Novel Anomaly Detection Framework Based on Model Serialization.
IEICE Trans. Inf. Syst., 2024

CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions.
CoRR, 2024

When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings.
CoRR, 2024

Towards Category Unification of 3D Single Object Tracking on Point Clouds.
CoRR, 2024

Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CoMix: Collaborative filtering with mixup for implicit datasets.
Inf. Sci., May, 2023

ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning.
CoRR, 2023

A Generalized Look at Federated Learning: Survey and Perspectives.
CoRR, 2023

Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

IMPsys: An Intelligent Mold Processing System for Smart Factory.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer's Disease Severity using Multimodal Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A diversity personalization approach towards recommending POIs for Jeju island.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Context-aware Traffic Flow Forecasting in New Roads.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

2021
MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Incremental feature selection for efficient classification of dynamic graph bags.
Concurr. Comput. Pract. Exp., 2020

AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020

A Human-in-the-Loop Approach to Malware Author Classification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments.
Knowl. Based Syst., 2019

Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation.
Knowl. Based Syst., 2019

A tripartite-graph based recommendation framework for price-comparison services.
Comput. Sci. Inf. Syst., 2019

Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework.
IEEE Access, 2019

Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering.
Proceedings of the World Wide Web Conference, 2019

2018
Influence maximisation in social networks: A target-oriented estimation.
J. Inf. Sci., 2018

Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions.
Inf. Sci., 2018

On identifying k-nearest neighbors in neighborhood models for efficient and effective collaborative filtering.
Neurocomputing, 2018

An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously.
IEICE Trans. Inf. Syst., 2018

CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors.
IEICE Trans. Inf. Syst., 2017

A Single-Step Approach to Recommendation Diversification.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

On Detecting Frauds in Comparison-Shopping Services.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Incremental maintenance of C-Rank scores in dynamic web environment.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

On Classifying Dynamic Graph Bags.
Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2017

2016
Credible, resilient, and scalable detection of software plagiarism using authority histograms.
Knowl. Based Syst., 2016

Accurate Path-based Methods for Influence Maximization in Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

Analyzing crowdsourced promotion effects in online social networks.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Scalable collaborative filtering based on efficient identification of similar users.
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

2015
Effective and efficient detection of software theft via dynamic API authority vectors.
J. Syst. Softw., 2015

DAAV: Dynamic API Authority Vectors for Detecting Software Theft.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2013
Software plagiarism detection via the static API call frequency birthmark.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Software plagiarism detection: a graph-based approach.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013


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