Software plagiarism detection: a graph-based approach. - Dong-Kyu Chae; Jiwoon Ha; Sang-Wook Kim; Boojoong Kang; Eul Gyu Im (CIKM, 2013)

Software plagiarism detection via the static API call frequency birthmark. - Dong-Kyu Chae; Sang-Wook Kim; Jiwoon Ha; Sang-Chul Lee 001; Gyun Woo (SAC, 2013)

DAAV: Dynamic API Authority Vectors for Detecting Software Theft. - Dong-Kyu Chae; Sang-Wook Kim; Seong-je Cho; Yesol Kim (CIKM, 2015)

Effective and efficient detection of software theft via dynamic API authority vectors. - Dong-Kyu Chae; Sang-Wook Kim; Seong-je Cho; Yesol Kim (J. Syst. Softw., 2015)

Scalable collaborative filtering based on efficient identification of similar users. - Sang-Chul Lee 001; Si-Yong Lee; Dong-Kyu Chae; Sang-Wook Kim (IC-NIDC, 2016)

Analyzing crowdsourced promotion effects in online social networks. - Hee-Jeong Kim; Dong-Kyu Chae; Sang-Wook Kim; Jongwuk Lee (SAC, 2016)

Accurate Path-based Methods for Influence Maximization in Social Networks. - Yun-Yong Ko; Dong-Kyu Chae; Sang-Wook Kim (WWW (Companion Volume), 2016)

Credible, resilient, and scalable detection of software plagiarism using authority histograms. - Dong-Kyu Chae; Jiwoon Ha; Sang-Wook Kim; Boojoong Kang; Eul Gyu Im; Sunju Park (Knowl. Based Syst., 2016)

On Classifying Dynamic Graph Bags. - Dong-Kyu Chae; Bo-Kyum Kim; Seung Ho Kim; Sang-Wook Kim (RACS, 2017)

Incremental maintenance of C-Rank scores in dynamic web environment. - Jangwan Koo; Dong-Jin Kim 002; Dong-Kyu Chae; Sang-Wook Kim (SMC, 2017)

On Detecting Frauds in Comparison-Shopping Services. - Sang-Chul Lee 001; Christos Faloutsos; Dong-Kyu Chae; Sang-Wook Kim (WWW (Companion Volume), 2017)

A Single-Step Approach to Recommendation Diversification. - Sang-Chul Lee 001; Sang-Wook Kim; Sunju Park; Dong-Kyu Chae (WWW (Companion Volume), 2017)

Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors. - Sang-Chul Lee 001; Christos Faloutsos; Dong-Kyu Chae; Sang-Wook Kim (IEICE Trans. Inf. Syst., 2017)

CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks. - Dong-Kyu Chae; Jin-Soo Kang; Sang-Wook Kim; Jung-Tae Lee (CIKM, 2018)

An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously. - Sang-Chul Lee 001; Sang-Wook Kim; Sunju Park; Dong-Kyu Chae (IEICE Trans. Inf. Syst., 2018)

On identifying k-nearest neighbors in neighborhood models for efficient and effective collaborative filtering. - Dong-Kyu Chae; Sang-Chul Lee 001; Si-Yong Lee; Sang-Wook Kim (Neurocomputing, 2018)

Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions. - Hee-Jeong Kim; Jongwuk Lee; Dong-Kyu Chae; Sang-Wook Kim (Inf. Sci., 2018)

Influence maximisation in social networks: A target-oriented estimation. - Yun-Yong Ko; Dong-Kyu Chae; Sang-Wook Kim (J. Inf. Sci., 2018)

Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. - Dong-Kyu Chae; Jin-Soo Kang; Sang-Wook Kim; Jaeho Choi (WWW, 2019)

Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework. - Dong-Kyu Chae; Jung Ah Shin; Sang-Wook Kim (IEEE Access, 2019)

A tripartite-graph based recommendation framework for price-comparison services. - Sang-Chul Lee 001; Sang-Wook Kim; Sunju Park; Dong-Kyu Chae (Comput. Sci. Inf. Syst., 2019)

Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation. - Dong-Kyu Chae; Sang-Wook Kim; Jung-Tae Lee (Knowl. Based Syst., 2019)

Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments. - Jangwan Koo; Dong-Kyu Chae; Dong-Jin Kim 002; Sang-Wook Kim (Knowl. Based Syst., 2019)

A Human-in-the-Loop Approach to Malware Author Classification. - Eujeanne Kim; Sung-Jun Park; Dong-Kyu Chae; Seokwoo Choi; Sang-Wook Kim (CIKM, 2020)

Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation. - Dong-Kyu Chae; Jin-Soo Kang; Sang-Wook Kim (DASFAA (3), 2020)

AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. - Dong-Kyu Chae; Jihoo Kim; Duen Horng Chau; Sang-Wook Kim (SIGIR, 2020)

Incremental feature selection for efficient classification of dynamic graph bags. - Dong-Kyu Chae; Bo-Kyum Kim; Seung Ho Kim; Sang-Wook Kim (Concurr. Comput. Pract. Exp., 2020)

MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups. - Eujeanne Kim; Sung-Jun Park; Seokwoo Choi; Dong-Kyu Chae; Sang-Wook Kim (CCS, 2021)

GReFEL: Geometry-Aware Reliable Facial Expression Learning Under Bias and Imbalanced Data Distribution. - Azmine Toushik Wasi; Taki Hasan Rafi; Raima Islam; Karlo Serbetar; Dong-Kyu Chae (ACCV (4), 2022)

Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation. - Dong-Kyu Chae; Jung Ah Shin; Sang-Wook Kim (BigComp, 2022)

Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis. - Ji Sun Park; Mingu Kang; Sungryoul Lee; Dong-Kyu Chae (BigComp, 2022)

An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering. - Sunghyun Hwang; Dong-Kyu Chae (CIKM, 2022)

Context-aware Traffic Flow Forecasting in New Roads. - Namhyuk Kim; Dong-Kyu Chae; Jung Ah Shin; Sang-Wook Kim; Duen Horng Chau; Sunghwan Park (CIKM, 2022)

Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data. - Harim Lee; Eunseon Seong; Dong-Kyu Chae (IJCAI, 2022)

ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis. - Seonggyeom Kim; Dong-Kyu Chae (KDD, 2022)

A diversity personalization approach towards recommending POIs for Jeju island. - Jongsoo Lee; Jung Ah Shin; Dong-Kyu Chae (SAC, 2022)

Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. - Sung-Jun Park; Dong-Kyu Chae; Hong-Kyun Bae; Sumin Park; Sang-Wook Kim (WSDM, 2022)

DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. - Jongsoo Lee; Byeongtae Park; Dong-Kyu Chae (CIKM, 2023)

An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer's Disease Severity using Multimodal Data. - Md Sarwar Kamal; Linkon Chowdhury; Sonia Farhana Nimmy; Taki Hasan Rafi; Dong-Kyu Chae (EMBC, 2023)

IMPsys: An Intelligent Mold Processing System for Smart Factory. - Xueyi Zhou; Yohan Na; Minju Bang; Dong-Kyu Chae (IJCAI, 2023)

Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features. - Seonmin Kim; Dong-Kyu Chae (SIGIR, 2023)

A Generalized Look at Federated Learning: Survey and Perspectives. - Taki Hasan Rafi; Faiza Anan Noor; Tahmid Hussain; Dong-Kyu Chae; Zhaohui Yang (CoRR, 2023)

ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning. - Azmine Toushik Wasi; Karlo Serbetar; Raima Islam; Taki Hasan Rafi; Dong-Kyu Chae (CoRR, 2023)

CoMix: Collaborative filtering with mixup for implicit datasets. - Jaewan Moon; Yoonki Jeong; Dong-Kyu Chae; Jaeho Choi; Hyunjung Shim; Jongwuk Lee (Inf. Sci., 2023)

Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data. - Eunseon Seong; Harim Lee; Dong-Kyu Chae (AAAI, 2024)

HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability. - Yoo Hyun Jeong; Sunghyun Hwang; Dong-Kyu Chae (CIKM, 2024)

Discrepancy-guided Channel Dropout for Domain Generalization. - Seonggyeom Kim; Byeongtae Park; Harim Lee; Dong-Kyu Chae (CIKM, 2024)

SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity. - Jaemin Kim; Yohan Na; Kangmin Kim; Sang-Rak Lee; Dong-Kyu Chae (LREC/COLING, 2024)

BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering. - Azmine Toushik Wasi; Taki Hasan Rafi; Raima Islam; Dong-Kyu Chae (LREC/COLING, 2024)

DiaFrame: A Framework for Understanding Bengali Dialects in Human-AI Collaborative Creative Writing Spaces. - Azmine Toushik Wasi; Taki Hasan Rafi; Dong-Kyu Chae (CSCW Companion, 2024)

Unsupervised Controllable Generation of Diffusion Models with Latent Variables in VAEs. - Minju Kim; Seonggyeom Kim; Dong-Kyu Chae (DASFAA (3), 2024)

Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning. - Yoo Hyun Jeong; Myeong Soo Han; Dong-Kyu Chae (EACL (Findings), 2024)

Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning. - Yoo Hyun Jeong; Myeong Soo Han; Dong-Kyu Chae (EACL (Findings), 2024)

A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation. - Yoo Hyun Jeong; Myeong Soo Han; Dong-Kyu Chae (EMNLP (Findings), 2024)

Towards Category Unification of 3D Single Object Tracking on Point Clouds. - Jiahao Nie 001; Zhiwei He 001; Xudong Lv; Xueyi Zhou; Dong-Kyu Chae; Fei Xie (ICLR, 2024)

When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings. - Azmine Toushik Wasi; Karlo Serbetar; Raima Islam; Taki Hasan Rafi; Dong-Kyu Chae (Tiny Papers @ ICLR, 2024)

Multi-view Mixed Attention for Contrastive Learning on Hypergraphs. - Jongsoo Lee; Dong-Kyu Chae (SIGIR, 2024)

CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions. - Azmine Toushik Wasi; Taki Hasan Rafi; Raima Islam; Karlo Serbetar; Dong-Kyu Chae (CoRR, 2024)

Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives. - Azmine Toushik Wasi; Raima Islam; Mst Rafia Islam; Taki Hasan Rafi; Dong-Kyu Chae (CoRR, 2024)

MVTamperBench: Evaluating Robustness of Vision-Language Models. - Amit Agarwal; Srikant Panda; Angeline Charles; Bhargava Kumar; Hitesh Laxmichand Patel; Priyaranjan Pattnayak; Taki Hasan Rafi; Tejaswini Kumar; Dong-Kyu Chae (CoRR, 2024)

Towards collaborative fair federated distillation. - Faiza Anan Noor; Nawrin Tabassum; Tahmid Hussain; Taki Hasan Rafi; Dong-Kyu Chae (Eng. Appl. Artif. Intell., 2024)

Practical algorithms for weakly flexible job scheduling for smart mold component process. - Xueyi Zhou; Dong-Kyu Chae; Sang-Chul Lee 001 (Future Gener. Comput. Syst., 2024)

A Novel Anomaly Detection Framework Based on Model Serialization. - Byeongtae Park; Dong-Kyu Chae (IEICE Trans. Inf. Syst., 2024)

What Does a Model Really Look at?: Extracting Model-Oriented Concepts for Explaining Deep Neural Networks. - Seonggyeom Kim; Dong-Kyu Chae (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Fairness and privacy preserving in federated learning: A survey. - Taki Hasan Rafi; Faiza Anan Noor; Tahmid Hussain; Dong-Kyu Chae (Inf. Fusion, 2024)

MVTamperBench: Evaluating Robustness of Vision-Language Models. - Amit Agarwal; Srikant Panda; Angeline Charles; Hitesh Laxmichand Patel; Bhargava Kumar; Priyaranjan Pattnayak; Taki Hasan Rafi; Tejaswini Kumar; Hansa Meghwani; Karan Gupta; Dong-Kyu Chae (ACL (Findings), 2025)

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use. - Hitesh Laxmichand Patel; Amit Agarwal; Arion Das; Bhargava Kumar; Srikant Panda; Priyaranjan Pattnayak; Taki Hasan Rafi; Tejaswini Kumar; Dong-Kyu Chae (NAACL (Industry Track), 2025)

A Unified Detector for Both Adversarial Attacks and Out-of-Distribution Samples Based on Kernel Path Distribution. - Seonggyeom Kim; Minju Kim; Dong-Kyu Chae (PAKDD (1), 2025)

DialRet: Enhancing Dialogue Retention for Multi-session Conversations. - Yohan Na; Dahye Kim; Dong-Kyu Chae (PAKDD (5), 2025)

Dynamic Spuriosity Bias Harmonizer: Combatting Spurious Features for Domain Generalization. - Byeongtae Park; Harim Lee; Sungmoon Kim; Dong-Kyu Chae (PAKDD (1), 2025)

Parameter Efficient Tuning for Graph Neural Networks via a Weight Adaptive Module. - Eunseon Seong; Dong-Kyu Chae (PAKDD (2), 2025)

Dialectal Bias in Bengali: An Evaluation of Multilingual Large Language Models Across Cultural Variations. - Azmine Toushik Wasi; Raima Islam; Mst Rafia Islam; Farig Sadeque; Taki Hasan Rafi; Dong-Kyu Chae (WWW (Companion Volume), 2025)

GDSSA-Net: A gradually deeply supervised self-ensemble attention network for IoMT-integrated thyroid nodule segmentation. - Muhammad Umar Farooq; Haris Ghafoor; Azka Rehman; Muhammad Usman 026; Dong-Kyu Chae (Internet Things, 2025)

P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds. - Jiahao Nie 001; Fei Xie; Sifan Zhou; Xueyi Zhou; Dong-Kyu Chae; Zhiwei He 001 (Int. J. Comput. Vis., 2025)

Decoding multiculturalism through linguistic landscapes: a deep learning-based OCR analysis of street view images. - Hyebin Kim; Eunseon Seong; Harim Lee; Dong-Kyu Chae; Sugie Lee (Urban Inform., 2025)