Conference Papers

[C43] Yoo Hyun Jeong†, Myeongsoo Han† and Dong-Kyu Chae*
A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation
In Findings of EMNLP 2024, Dec. 12-16, 2024
[C42] Azmine Toushik Wasi†, Taki Hasan Rafi†, Serbeter Karlo, Raima Islam and Dong-Kyu Chae*
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
In ACCV 2024, Dec. 8-12, 2024 (A/R: 32%)
[C41] Azmine Toushik Wasi, Taki Hasan Rafi, and Dong-Kyu Chae*
DiaFrame: A Framework for Understanding Bengali Dialects in Human-AI Collaborative Creative Writing Spaces
In CSCW 2024, Nov. 9-13, 2024 (short paper)
[C40] Yoo Hyun Jeong, Sunghyun Hwang and Dong-Kyu Chae*
HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability
In ACM CIKM 2024, Oct. 21-25, 2024 (A/R: 23%)
[C39] Seonggyeom Kim†, Byeongtae Park†, Harim Lee and Dong-Kyu Chae*
Discrepancy-guided Channel Dropout for Domain Generalization
In ACM CIKM 2024, Oct. 21-25, 2024 (A/R: 23%)
[C38] Jongsoo Lee and Dong-Kyu Chae*
Multi-view Mixed Attention for Contrastive Learning on Hypergraphs
In ACM SIGIR 2024, July. 14-18, 2024 (short paper, A/R: 24%)
[C37] Minju Kim, Seonggyeom Kim and Dong-Kyu Chae*
Unsupervised Controllable Generation of Diffusion Models with Latent Variables in VAEs
In DASFAA 2024, July. 2-5, 2024 (short paper, A/R: 33%)
[C36] Jaemin Kim†, Yohan Na†, Kangmin Kim, Sang Rak Lee and Dong-Kyu Chae*
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity
In COLING 2024, May. 20-25, 2024
[C35] Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam and Dong-Kyu Chae*
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Graph Neural Network-based Semantic Filtering
In COLING 2024, May. 20-25, 2024 (short paper)
[C34] Azmine Toushik Wasi, Serbetar Karlo, Raima Islam, Taki Hasan Rafi and Dong-Kyu Chae*
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
In ICLR 2024, May. 7-11, 2024 (tiny paper track)
[C33] Jiahao Nie, Zhiwei He*, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie
Towards Category Unification of 3D Single Object Tracking on Point Clouds
In ICLR 2024, May. 7-11, 2024 (A/R: 31%)
[C32] Yoo Hyun Jeong, Myeongsoo Han and Dong-Kyu Chae*
Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning
In Findings of EACL 2024, Mar. 17-22, 2024 (short paper, A/R: 35%)
[C31] Yoo Hyun Jeong, Myeongsoo Han and Dong-Kyu Chae*
Simple Temperature Cool Down in Contrastive Framework for Sentence Representation Learning
In Findings of EACL 2024, Mar. 17-22, 2024 (short paper, A/R: 35%)
[C30] Eunseon Seong†, Harim Lee† and Dong-Kyu Chae*
Self-Supervised Framework based on Subject-wise Clustering for Human Subject Time Series Data
In AAAI 2024, Feb. 20-27, 2024 (A/R: 24%)
[C29] Jongsoo Lee†, Byeongtae Park† and Dong-Kyu Chae*
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series
In ACM CIKM 2023, Oct. 21-25, 2023 (A/R: 24%)
[C28] Xueyi Zhou, Yohan Na, Minju Bang and Dong-Kyu Chae*
IMPsys: An Intelligent Mold Processing System for Smart Factory
In IJCAI 2023, Aug. 19-25, 2023 (demo track)
[C27] Md Sarwar Kamal, Linkon Chowdhury, Sonia Farhana Nimmy, Taki Hasan Rafi and Dong-Kyu Chae*
An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer’s Disease Severity using Multimodal Data
In IEEE EMBC 2023, Jul. 24-27, 2023
[C26] Seonmin Kim and Dong-Kyu Chae*
Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features
In ACM SIGIR 2023, Jul. 23-27, 2023 (short paper, A/R: 25%)
[C25] Sunghyun Hwang and Dong-Kyu Chae*
An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering
In ACM CIKM 2022, Oct. 17-21, 2022 (A/R: 23%)
[C24] Namhyuk Kim†, Dong-Kyu Chae†, Jung Ah Shin, Sang-Wook Kim*, Duen Horng Chau and Sunghwan Park
Context-aware Traffic Flow Forecasting in New Roads
In ACM CIKM 2022, Oct. 17-21, 2022 (short paper, A/R: 29%)
[C23] Seonggyeom Kim and Dong-Kyu Chae*
ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis
In KDD 2022, Aug. 14-18, 2022 (A/R: 15%)
[C22] Harim Lee†, Eunseon Seong† and Dong-Kyu Chae*
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data
In IJCAI 2022, Jul. 23-29, 2022 (A/R: 15%)
[C21] Jongsoo Lee, Jung Ah Shin and Dong-Kyu Chae*
A Diversity Personalization Approach towards Recommending POIs for Jeju Island
In ACM SAC 2022, Apr. 25-29, 2022 (short paper)
[C20] Sung-Jun Park†, Dong-Kyu Chae†, Hong-Kyun Bae, Sumin Park, and Sang-Wook Kim*
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation
In WSDM 2022, Feb. 21-25, 2022 (A/R: 20%)
[C19] Dong-Kyu Chae, Jung Ah Shin and Sang-Wook Kim
Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation
In IEEE Bigcomp 2022, Jan. 17-20, 2022
[C18] Jisun Park, Mingu Kang, Sungryoul Lee and Dong-Kyu Chae*
Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis
In IEEE Bigcomp 2022, Jan. 17-20, 2022 (workshop)
[C17] Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae* and Sang-Wook Kim* (co-corresponding author)
MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups
In ACM CCS 2021, Nov. 15-19, 2021 (demo track)
[C16] Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi, and Sang-Wook Kim*
A Human-in-the-Loop Approach to Malware Author Classification
In ACM CIKM 2020 Oct. 19-23, 2020 (short paper)
[C15] Dong-Kyu Chae, Jin-Soo Kang, and Sang-Wook Kim*
Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation
In DASFAA 2020, Sep. 24-27, 2020.
[C14] Dong-Kyu Chae, Jihoo Kim, Sang-Wook Kim* and Duen Horng Chau
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems
In ACM SIGIR 2020, Jul. 25-30, 2020. (A/R: 26%)
[C13] Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim* and Jaeho Choi
Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering
In WWW 2019, May 13-17, 2019. (A/R: 20%)
[C12] Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim* and Jung-Tae Lee
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks
In ACM CIKM 2018, Oct. 22-26, 2018. (A/R: 17%)
[C11] Dong-Kyu Chaeand Sang-Wook Kim*
Adversarial Training of Deep Autoencoders Towards Recommendation Tasks
In IEEE IC-NIDC 2018, Aug. 22-24, 2018.
[C10] Jangwan Koo, Dong-Jin Kim, Dong-Kyu Chae, Sang-Wook Kim*
Incremental Maintenance of C-Rank Scores in Dynamic Web Environment
In IEEE SMC 2017, Oct. 5-8, 2017.
[C9] Dong-Kyu Chae, Bo-Kyum Kim, Seung-Ho Kim and Sang-Wook Kim*
On Classifying Dynamic Graph Bags
In ACM RACS 2017, Sept. 20-23, 2017.
[C8] Sang-Chul Lee, Sang-Wook Kim*, Sunju Park and Dong-Kyu Chae
A Single-Step Approach to Recommendation Diversification
In WWW 2017, Apr. 03-07, 2017 (short paper).
[C7] Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae and Sang-Wook Kim*
On Detecting Frauds in Comparison-Shopping Services
In WWW 2017, Apr. 03-07, 2017 (short paper).
[C6] Sang-Chul Lee, Si-Yong Lee, Dong-Kyu Chae and Sang-Wook Kim*
Scalable Collaborative Filtering Based on Efficient Identification of Similar Users
In IEEE IC-NIDC 2016, Sept. 23-25, 2016.
[C5] Yoon-Yong Ko, Dong-Kyu Chae, and Sang-Wook Kim*
Accurate Path-based Methods for Influence Maximization in Social Networks
In WWW 2016, Apr. 11-15, 2016 (short paper).
[C4] Hee-Jeong Kim, Dong-Kyu Chae, Jongwuk Lee, and Sang-Wook Kim*
Analyzing Crowdsourced Promotion Effects in Online Social Networks
In ACM SAC 2016, Apr. 4-8, 2016.
[C3] Dong-Kyu Chae, Sang-Wook Kim*, Seong-Je Cho, and Yesol Kim
DAAV: Dynamic API Authority Vectors for Detecting Software Theft
In ACM CIKM 2015, Oct. 19-23, 2015 (short paper).
[C2] Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim*, Boo-Joong Kang, and Eul-Gyu Im
Software Plagiarism Detection: A Graph-based Approach
In ACM CIKM 2013, Oct. 27 – Nov. 1, 2013. (short paper, best poster award)
[C1] Dong-Kyu Chae, Jiwoon Ha, Sang-Chul Lee, Sang-Wook Kim*, and Gyun Woo
Software Plagiarism Detection via Static API Call Frequency Birthmark
In ACM SAC 2013, Mar. 18-22, 2013.



SCI(E) Journal Papers

[J23] Faiza Anan Noor, Nawrin Tabassum, Tahmid Hussain, Taki Hasan Rafi and Dong-Kyu Chae*
Towards Collaborative Fair Federated Distillation
Engineering Applications of Artificial Intelligence (EAAI), Nov. 2024.
[J22] Xueyi Zhou, Dong-Kyu Chae* and Sang-Chul Lee*
Practical Algorithms for Weakly Flexible Job Scheduling for Smart Mold Component Process
Future Generation Computer Systems, Nov. 2024.
[J21] Seonggyeom Kim and Dong-Kyu Chae*
What Does a Model Really Look at?: Extracting Model-Oriented Concepts for Explaining Deep Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), July 2024.
[J20] Taki Hasan Rafi†, Faiza Anan Noor†, Tahmid Hussain, and Dong-Kyu Chae*
Fairness and Privacy-Preserving in Federated Learning: A Survey
Information Fusion, May. 2024.
[J19] Byeongtae Park and Dong-Kyu Chae*
A Novel Anomaly Detection Framework based on Model Serialization
IEICE Transactions on Information and Systems, Mar. 2024.
[J18] Inhwa Koo, Dong-Kyu Chae* and Sang-Chul Lee*
Improving Adversarial Robustness via Distillation-based Purification
Applied Sciences, Oct. 2023.
[J17] Mehreen Kanwal, Muhammad Mutti Ur Rehman, Muhammad Umar Farooq and Dong-Kyu Chae*
Mask Transformer-Based Networks for Teeth segmentation in Panoramic Radiographs
Bioengineering, Jul. 2023.
[J16] Jaewan Moon, Yoonki Jeong, Dong-Kyu Chae, Jaeho Choi, Hyunjung Shim and Jongwuk Lee*
CoMix: Collaborative Filtering with Mixup for Implicit Datasets
Information Sciences, May. 2023.
[J15] Suk Young Lim, Dong-Kyu Chae and Sang-Chul Lee*
On Detecting Deepfake Voice based on Explainable Deep Learning Techniques
Applied Sciences, Apr. 2022.
[J14] Jongsoo Lee, Jung Ah Shin, Dong-Kyu Chae and Sang-Chul Lee*
Personalized Tour Recommendation via Analyzing User Tastes for Travel Distance, Diversity and Popularity
Electronics, Apr. 2022.
[J13] Dong-Kyu Chae, Sung-Jun Park, Eujeanne Kim, Jiwon Hong and Sang-Wook Kim*
Identifying the Author Group of Malwares through Graph Embedding and Human-in-the-Loop Classification
Applied Sciences, Jul. 2021.
[J12] Dong-Kyu Chae, Bo-Kyum Kim, Seung-Ho Kim and Sang-Wook Kim*
Incremental Feature Selection for Efficient Classification of Dynamic Graph Bags
Concurrency and Computation: Practice and Experience, Sep. 2020.
[J11] Sang-Chul Lee, Sang-Wook Kim*, Sunju Park, and Dong-Kyu Chae
A Tripartite-Graph Based Recommendation Framework for Price-Comparison Services
Computer Science and Information Systems, Jun. 2019.
[J10] Jangwan Koo†, Dong-Kyu Chae†, Dong-Jin Kim and Sang-Wook Kim*
Incremental C-Rank: An Effective and Efficient Ranking Algorithm for Dynamic Web Environment
Knowledge-Based Systems, Jul. 2019.
[J9] Dong-Kyu Chae, Sang-Wook Kim* and Jung-Tae Lee
Autoencoder-based Personalized Ranking Framework Unifying Explicit and Implicit Feedback for Accurate Top-N Recommendation
Knowledge-Based Systems, Jul. 2019.
[J8] Dong-Kyu Chae, Jung Ah Shin, and Sang-Wook Kim*
Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model under the GAN Framework
IEEE Access, Dec. 2019.
[J7] Yoon-Yong Ko, Dong-Kyu Chae, and Sang-Wook Kim*
Influence Maximization in Social Networks: A Target-Oriented Estimation
Journal of Information Science, Oct. 2018.
[J6] Hee-Jeong Kim, Jongwuk Lee*, Dong-Kyu Chae, and Sang-Wook Kim
Crowdsourced Promotions in Doubt: Analyzing Effective Crowdsourced Promotions
Information Sciences, Mar. 2018.
[J5] Dong-Kyu Chae, Sang-Chul Lee, Si-Yong Lee, and Sang-Wook Kim*
On Identifying k-Nearest Neighbors in Neighborhood Models for Efficient and Effective Collaborative Filtering
Neurocomputing, Feb. 2018.
[J4] Sang-Chul Lee, Sang-Wook Kim*, Sunju Park, and Dong-Kyu Chae
An Effective Recommendation Method Considering User Preference and Diversity Simultaneously
IEICE Transactions on Information and Systems,, Jan. 2018.
[J3] Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, and Sang-Wook Kim*
Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors
IEICE Transactions on Information and Systems, Oct. 2017.
[J2] Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim*, BooJoong Kang, Eul Gyu Im, and SunJu Park
Credible, Resilient, and Scalable Detection of Software Plagiarism Using Authority Histograms
Knowledge-Based Systems, Mar. 2016.
[J1] Dong-Kyu Chae, Sang-Wook Kim*, Seong-Je Cho, and Yesol Kim
Effective and Efficient Detection of Software Theft via Dynamic API Authority Vectors
Journal of Systems and Software, Dec. 2015.



Workshop Papers

[W1] Raima Islam, Azmine Toushik Wasi, Taki Hasan Rafi and Dong-Kyu Chae*
Exploring Bengali Religious Dialect Bias in Large Language Models with Evaluation Perspectives
HEAL@CHI-2024, May 12, 2024.