| 2026 | AAAI | EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification. | Xueyi Zhou, Zhenyu Li, Dong-Kyu Chae |
| 2026 | ACL | Emotion-Wheel-Guided Audio-Referred Text Representation for Multimodal Emotion Recognition in Conversation. | Eunseon Seong, Harim Lee, Dahye Kim, Changhyun Kim, Dong-Kyu Chae |
| 2026 | DASFAA | Notice-Augmented Real-World Audit Report Generation by Large-Scale Complex Tabular Data Understanding and New Fields Discovery. | Xueyi Zhou, Pei Ye, Dong-Kyu Chae, Zhenyu Li |
| 2026 | PAKDD | Generative Artificial Intelligence for Project Management: A Review of Architectures, Applications, and Governance. | Mahfuz Ahmed Anik, Azmine Toushik Wasi, Mohsin Mahmud Topu, Taki Hasan Rafi, Dong-Kyu Chae |
| 2026 | PAKDD | A Review of Human-Centric Evaluation of Cultural Biases in Indic Languages in LLMs: Rethinking Research Directions. | Azmine Toushik Wasi, Omid Reza Heidari, MD Mohaymen Ul Anam, Abdur Rahman, Amit Agarwal, Hitesh Laxmichand Patel, Bhargava Kumar, Taki Hasan Rafi, Dong-Kyu Chae |
| 2026 | SAC | Analyzing Coarse-to-fine Generation of Diffusion Models through Image Editing Perspectives. | Seonggyeom Kim, Minju Kim, Minju Bang, Dong-Kyu Chae |
| 2026 | WACV | SSMT-Net: A Semi-Supervised Multitask Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images. | Muhammad Umar Farooq, Abd Ur Rehman, Azka Rehman, Muhammad Usman, Dong-Kyu Chae |
| 2026 | WACV | Learning from Unknown for Open-Set Test-Time Adaptation. | Taki Hasan Rafi, Amit Agarwal, Hitesh Laxmichand Patel, Dong-Kyu Chae |
| 2025 | ACL | 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 |
| 2025 | CIKM | Waypoint POI Recommendation for Vehicle Navigation Services using Hierarchical Graphs and Contrastive Learning. | Jongsoo Lee, Heejun Shin, Namhyuk Kim, Dong-Kyu Chae |
| 2025 | CIKM | Towards Robust Continual Test-Time Adaptation via Neighbor Filtration. | Taki Hasan Rafi, Amit Agarwal, Hitesh Laxmichand Patel, Dong-Kyu Chae |
| 2025 | CSCW | Knowledge Explorer: An Agentic AI Framework for Interactive, Personalized and Multilingual Learning Experience. | Wahid Faisal, Azmine Toushik Wasi, Drishti Sharma, Mahfuz Ahmed Anik, Taki Hasan Rafi, Dong-Kyu Chae |
| 2025 | CSCW | Exploring Bengali Creative Storytelling Capabilities of Large Language Models Across Cultural Variations. | Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Farig Y. Sadeque, Taki Hasan Rafi, Dong-Kyu Chae |
| 2025 | CSCW | LegalMind: An Intelligent Solution for Legal Document Analysis with User-Centric UI and AI-Driven Capabilities in Mobile Devices. | Azmine Toushik Wasi, Mst Rafia Islam, Abdur Rahman, Tawfia Yeasmin, Amit Agarwal, Hitesh Laxmichand Patel, Taki Hasan Rafi, Dong-Kyu Chae |
| 2025 | DASFAA | Mitigating Linguistic Bias Between Malay and Indonesian Languages Using Masked Language Models. | Ferdinand Lenchau Bit, Iman Khaleda binti Zamri, Amzine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae |
| 2025 | DASFAA | Instance-Aware Test-Time Adaptation for Domain Generalization. | Taki Hasan Rafi, Serbeter Karlo, Amit Agarwal, Hitesh Laxmichand Patel, Bhargava Kumar, Dong-Kyu Chae |
| 2025 | DASFAA | Gaussian Regularization in Neural Graph Learning. | Amzine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae |
| 2025 | EMNLP | "Where Does This Strange Smell Come from?": Enabling Conversational Interfaces for Artificial Olfaction. | Xueyi Zhou, Qi Lu, Dong-Kyu Chae |
| 2025 | IJCAI | What If LLMs Can Smell: A Prototype. | Xueyi Zhou, Qi Lu, Dong-Kyu Chae |
| 2025 | NAACL | 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 |
| 2025 | PAKDD | A Unified Detector for Both Adversarial Attacks and Out-of-Distribution Samples Based on Kernel Path Distribution. | Seonggyeom Kim, Minju Kim, Dong-Kyu Chae |
| 2025 | PAKDD | DialRet: Enhancing Dialogue Retention for Multi-session Conversations. | Yohan Na, Dahye Kim, Dong-Kyu Chae |
| 2025 | PAKDD | Dynamic Spuriosity Bias Harmonizer: Combatting Spurious Features for Domain Generalization. | Byeongtae Park, Harim Lee, Sungmoon Kim, Dong-Kyu Chae |
| 2025 | PAKDD | Parameter Efficient Tuning for Graph Neural Networks via a Weight Adaptive Module. | Eunseon Seong, Dong-Kyu Chae |
| 2025 | WWW | 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 |
| 2024 | AAAI | Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data. | Eunseon Seong, Harim Lee, Dong-Kyu Chae |
| 2024 | CIKM | HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability. | Yoo Hyun Jeong, Sunghyun Hwang, Dong-Kyu Chae |
| 2024 | CIKM | Discrepancy-guided Channel Dropout for Domain Generalization. | Seonggyeom Kim, Byeongtae Park, Harim Lee, Dong-Kyu Chae |
| 2024 | COLING | 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 |
| 2024 | COLING | BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering. | Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae |
| 2024 | CSCW | DiaFrame: A Framework for Understanding Bengali Dialects in Human-AI Collaborative Creative Writing Spaces. | Azmine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae |
| 2024 | DASFAA | Unsupervised Controllable Generation of Diffusion Models with Latent Variables in VAEs. | Minju Kim, Seonggyeom Kim, Dong-Kyu Chae |
| 2024 | EACL | Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning. | Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae |
| 2024 | EACL | Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning. | Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae |
| 2024 | EMNLP | A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation. | Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae |
| 2024 | ICLR | Towards Category Unification of 3D Single Object Tracking on Point Clouds. | Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie |
| 2024 | ICLR | 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 |
| 2024 | SIGIR | Multi-view Mixed Attention for Contrastive Learning on Hypergraphs. | Jongsoo Lee, Dong-Kyu Chae |
| 2023 | CIKM | DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. | Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae |
| 2023 | IJCAI | IMPsys: An Intelligent Mold Processing System for Smart Factory. | Xueyi Zhou, Yohan Na, Minju Bang, Dong-Kyu Chae |
| 2023 | SIGIR | Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features. | Seonmin Kim, Dong-Kyu Chae |
| 2022 | ACCV | 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 |
| 2022 | CIKM | An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering. | Sunghyun Hwang, Dong-Kyu Chae |
| 2022 | CIKM | Context-aware Traffic Flow Forecasting in New Roads. | Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park |
| 2022 | IJCAI | Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data. | Harim Lee, Eunseon Seong, Dong-Kyu Chae |
| 2022 | KDD | ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis. | Seonggyeom Kim, Dong-Kyu Chae |
| 2022 | SAC | A diversity personalization approach towards recommending POIs for Jeju island. | Jongsoo Lee, Jung Ah Shin, Dong-Kyu Chae |
| 2022 | WSDM | 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 |
| 2021 | CCS | MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups. | Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim |
| 2020 | CIKM | A Human-in-the-Loop Approach to Malware Author Classification. | Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi, Sang-Wook Kim |
| 2020 | DASFAA | Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation. | Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim |
| 2020 | SIGIR | 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 |
| 2019 | WWW | Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. | Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jaeho Choi |
| 2018 | CIKM | CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks. | Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jung-Tae Lee |
| 2017 | SMC | Incremental maintenance of C-Rank scores in dynamic web environment. | Jangwan Koo, Dong-Jin Kim, Dong-Kyu Chae, Sang-Wook Kim |
| 2017 | WWW | On Detecting Frauds in Comparison-Shopping Services. | Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim |
| 2017 | WWW | A Single-Step Approach to Recommendation Diversification. | Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae |
| 2016 | WWW | Accurate Path-based Methods for Influence Maximization in Social Networks. | Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim |
| 2016 | SAC | Analyzing crowdsourced promotion effects in online social networks. | Hee-Jeong Kim, Dong-Kyu Chae, Sang-Wook Kim, Jongwuk Lee |
| 2015 | CIKM | DAAV: Dynamic API Authority Vectors for Detecting Software Theft. | Dong-Kyu Chae, Sang-Wook Kim, Seong-je Cho, Yesol Kim |
| 2013 | CIKM | Software plagiarism detection: a graph-based approach. | Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, Boojoong Kang, Eul Gyu Im |
| 2013 | SAC | Software plagiarism detection via the static API call frequency birthmark. | Dong-Kyu Chae, Sang-Wook Kim, Jiwoon Ha, Sang-Chul Lee, Gyun Woo |