Dong-Kyu Chae

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 59

Top Topics

Collaborative Filtering

Web Environment

Influence Maximization

Top Venues

IEICE Trans. Inf. Syst.

Knowl. Based Syst.

Publications

Xueyi Zhou, Dong-Kyu Chae, Sang-Chul Lee
Practical algorithms for weakly flexible job scheduling for smart mold component process. Future Gener. Comput. Syst. 160 (2024)
Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae
Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning. EACL (Findings) (2024)
Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings. CoRR (2024)
Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering. LREC/COLING (2024)
Jongsoo Lee, Dong-Kyu Chae
Multi-view Mixed Attention for Contrastive Learning on Hypergraphs. SIGIR (2024)
Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering. CoRR (2024)
Jaemin Kim, Yohan Na, Kangmin Kim, Sang-Rak Lee, Dong-Kyu Chae
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity. CoRR (2024)
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae
Fairness and privacy preserving in federated learning: A survey. Inf. Fusion 105 (2024)
Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie
Towards Category Unification of 3D Single Object Tracking on Point Clouds. ICLR (2024)
Eunseon Seong, Harim Lee, Dong-Kyu Chae
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data. AAAI (2024)
Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae
Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning. EACL (Findings) (2024)
Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings. Tiny Papers @ ICLR (2024)
Seonggyeom Kim, Dong-Kyu Chae
What Does a Model Really Look at?: Extracting Model-Oriented Concepts for Explaining Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Byeongtae Park, Dong-Kyu Chae
A Novel Anomaly Detection Framework Based on Model Serialization. IEICE Trans. Inf. Syst. 107 (3) (2024)
Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Taki Hasan Rafi, Dong-Kyu Chae
Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives. CoRR (2024)
Jaemin Kim, Yohan Na, Kangmin Kim, Sang-Rak Lee, Dong-Kyu Chae
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity. LREC/COLING (2024)
Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Karlo Serbetar, Dong-Kyu Chae
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions. CoRR (2024)
Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie
Towards Category Unification of 3D Single Object Tracking on Point Clouds. CoRR (2024)
Jiahao Nie, Fei Xie, Sifan Zhou, Xueyi Zhou, Dong-Kyu Chae, Zhiwei He
P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds. CoRR (2024)
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae
Fairness and Privacy-Preserving in Federated Learning: A Survey. CoRR (2023)
Md Sarwar Kamal, Linkon Chowdhury, Sonia Farhana Nimmy, Taki Hasan Rafi, Dong-Kyu Chae
An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer's Disease Severity using Multimodal Data. EMBC (2023)
Xueyi Zhou, Yohan Na, Minju Bang, Dong-Kyu Chae
IMPsys: An Intelligent Mold Processing System for Smart Factory. IJCAI (2023)
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae, Zhaohui Yang
A Generalized Look at Federated Learning: Survey and Perspectives. CoRR (2023)
Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. CIKM (2023)
Jaewan Moon, Yoonki Jeong, Dong-Kyu Chae, Jaeho Choi, Hyunjung Shim, Jongwuk Lee
CoMix: Collaborative filtering with mixup for implicit datasets. Inf. Sci. 628 (2023)
Seonmin Kim, Dong-Kyu Chae
Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features. SIGIR (2023)
Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning. CoRR (2023)
Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim
Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation. BigComp (2022)
Ji Sun Park, Mingu Kang, Sungryoul Lee, Dong-Kyu Chae
Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis. BigComp (2022)
Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. WSDM (2022)
Harim Lee, Eunseon Seong, Dong-Kyu Chae
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data. IJCAI (2022)
Seonggyeom Kim, Dong-Kyu Chae
ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis. KDD (2022)
Jongsoo Lee, Jung Ah Shin, Dong-Kyu Chae
A diversity personalization approach towards recommending POIs for Jeju island. SAC (2022)
Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park
Context-aware Traffic Flow Forecasting in New Roads. CIKM (2022)
Sunghyun Hwang, Dong-Kyu Chae
An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering. CIKM (2022)
Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim
MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups. CCS (2021)
Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi, Sang-Wook Kim
A Human-in-the-Loop Approach to Malware Author Classification. CIKM (2020)
Dong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. SIGIR (2020)
Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim
Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation. DASFAA (3) (2020)
Dong-Kyu Chae, Bo-Kyum Kim, Seung Ho Kim, Sang-Wook Kim
Incremental feature selection for efficient classification of dynamic graph bags. Concurr. Comput. Pract. Exp. 32 (18) (2020)
Jangwan Koo, Dong-Kyu Chae, Dong-Jin Kim, Sang-Wook Kim
Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments. Knowl. Based Syst. 176 (2019)
Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae
A tripartite-graph based recommendation framework for price-comparison services. Comput. Sci. Inf. Syst. 16 (2) (2019)
Dong-Kyu Chae, Sang-Wook Kim, Jung-Tae Lee
Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation. Knowl. Based Syst. 176 (2019)
Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim
Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework. IEEE Access 7 (2019)
Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jaeho Choi
Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. WWW (2019)
Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae
An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously. IEICE Trans. Inf. Syst. (1) (2018)
Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jung-Tae Lee
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks. CIKM (2018)
Hee-Jeong Kim, Jongwuk Lee, Dong-Kyu Chae, Sang-Wook Kim
Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions. Inf. Sci. 432 (2018)
Dong-Kyu Chae, Sang-Chul Lee, Si-Yong Lee, Sang-Wook Kim
On identifying k-nearest neighbors in neighborhood models for efficient and effective collaborative filtering. Neurocomputing 278 (2018)
Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim
Influence maximisation in social networks: A target-oriented estimation. J. Inf. Sci. 44 (5) (2018)
Dong-Kyu Chae, Bo-Kyum Kim, Seung Ho Kim, Sang-Wook Kim
On Classifying Dynamic Graph Bags. RACS (2017)
Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim
Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors. IEICE Trans. Inf. Syst. (10) (2017)
Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim
On Detecting Frauds in Comparison-Shopping Services. WWW (Companion Volume) (2017)
Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae
A Single-Step Approach to Recommendation Diversification. WWW (Companion Volume) (2017)
Jangwan Koo, Dong-Jin Kim, Dong-Kyu Chae, Sang-Wook Kim
Incremental maintenance of C-Rank scores in dynamic web environment. SMC (2017)
Sang-Chul Lee, Si-Yong Lee, Dong-Kyu Chae, Sang-Wook Kim
Scalable collaborative filtering based on efficient identification of similar users. IC-NIDC (2016)
Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, Boojoong Kang, Eul Gyu Im, Sunju Park
Credible, resilient, and scalable detection of software plagiarism using authority histograms. Knowl. Based Syst. 95 (2016)
Hee-Jeong Kim, Dong-Kyu Chae, Sang-Wook Kim, Jongwuk Lee
Analyzing crowdsourced promotion effects in online social networks. SAC (2016)
Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim
Accurate Path-based Methods for Influence Maximization in Social Networks. WWW (Companion Volume) (2016)
Dong-Kyu Chae, Sang-Wook Kim, Seong-je Cho, Yesol Kim
DAAV: Dynamic API Authority Vectors for Detecting Software Theft. CIKM (2015)
Dong-Kyu Chae, Sang-Wook Kim, Seong-je Cho, Yesol Kim
Effective and efficient detection of software theft via dynamic API authority vectors. J. Syst. Softw. 110 (2015)
Dong-Kyu Chae, Sang-Wook Kim, Jiwoon Ha, Sang-Chul Lee, Gyun Woo
Software plagiarism detection via the static API call frequency birthmark. SAC (2013)
Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, Boojoong Kang, Eul Gyu Im
Software plagiarism detection: a graph-based approach. CIKM (2013)