Conference Papers

[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*

(co-first authors)

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*

(co-first authors)

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*

(co-first authors)

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 (co-first author)

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*

(co-first authors)

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 (co-first author)

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

[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), Dec. 2024.

[J20] Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, and Dong-Kyu Chae*

(co-first authors)

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 (co-first author)

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.