Dong-Kyu Chae - RankMe

95 papers A* 12A 12B 1Misc 3Journal 37Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification. AAAI Xueyi Zhou, Zhenyu Li, Dong-Kyu Chae
2026	J	`jnl`	HybridRAG: A Practical LLM-based ChatBot Framework based on Pre-Generated Q&A over Raw Unstructured Documents. CoRR Sungmoon Kim, Hyuna Jeon, Dahye Kim, Mingyu Kim, Dong-Kyu Chae, Jiwoong Kim
2026	J	`jnl`	SA-AVAE: A sex-Aware adversarial variational autoencoder network for biological brain age estimation in IoMT-Enabled multimodal neuroimages. Internet Things Abd Ur Rehman, Azka Rehman, Muhammad Umar Farooq, Taehyun Lee, Tariq Mahmood Khan, Imran Razzak, Sung-Min Gho, Aleum Lee, Dong-Kyu Chae, Muhammad Usman
2025	—	`conf`	"Where Does This Strange Smell Come from?": Enabling Conversational Interfaces for Artificial Olfaction. EMNLP (Findings) Xueyi Zhou, Qi Lu, Dong-Kyu Chae
2025	—	`conf`	A Unified Detector for Both Adversarial Attacks and Out-of-Distribution Samples Based on Kernel Path Distribution. PAKDD (1) Seonggyeom Kim, Minju Kim, Dong-Kyu Chae
2025	J	`jnl`	Anatomy-Guided Representation Learning Using a Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images. CoRR Muhammad Umar Farooq, Abd Ur Rehman, Azka Rehman, Muhammad Usman, Dong-Kyu Chae, Junaid Qadir
2025	J	`jnl`	Decoding multiculturalism through linguistic landscapes: a deep learning-based OCR analysis of street view images. Urban Inform. Hyebin Kim, Eunseon Seong, Harim Lee, Dong-Kyu Chae, Sugie Lee
2025	—	`conf`	DialRet: Enhancing Dialogue Retention for Multi-session Conversations. PAKDD (5) Yohan Na, Dahye Kim, Dong-Kyu Chae
2025	—	`conf`	Dialectal Bias in Bengali: An Evaluation of Multilingual Large Language Models Across Cultural Variations. WWW (Companion Volume) Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Farig Sadeque, Taki Hasan Rafi, Dong-Kyu Chae
2025	—	`conf`	Dynamic Spuriosity Bias Harmonizer: Combatting Spurious Features for Domain Generalization. PAKDD (1) Byeongtae Park, Harim Lee, Sungmoon Kim, Dong-Kyu Chae
2025	—	`conf`	Exploring Bengali Creative Storytelling Capabilities of Large Language Models Across Cultural Variations. CSCW Companion Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Farig Y. Sadeque, Taki Hasan Rafi, Dong-Kyu Chae
2025	J	`jnl`	GDSSA-Net: A gradually deeply supervised self-ensemble attention network for IoMT-integrated thyroid nodule segmentation. Internet Things Muhammad Umar Farooq, Haris Ghafoor, Azka Rehman, Muhammad Usman, Dong-Kyu Chae
2025	—	`conf`	HybridRAG: A Practical LLM-based Chatbot Framework based on Pre-Generated Q&A over Raw Unstructured Documents. IR-RAG@SIGIR Sungmoon Kim, Hyuna Jeon, Dahye Kim, Mingyu Kim, Dong-Kyu Chae, Jiwoong Kim
2025	—	`conf`	Knowledge Explorer: An Agentic AI Framework for Interactive, Personalized and Multilingual Learning Experience. CSCW Companion Wahid Faisal, Azmine Toushik Wasi, Drishti Sharma, Mahfuz Ahmed Anik, Taki Hasan Rafi, Dong-Kyu Chae
2025	—	`conf`	LegalMind: An Intelligent Solution for Legal Document Analysis with User-Centric UI and AI-Driven Capabilities in Mobile Devices. CSCW Companion Azmine Toushik Wasi, Mst Rafia Islam, Abdur Rahman, Tawfia Yeasmin, Amit Agarwal, Hitesh Laxmichand Patel, Taki Hasan Rafi, Dong-Kyu Chae
2025	—	`conf`	MVTamperBench: Evaluating Robustness of Vision-Language Models. ACL (Findings) 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	J	`jnl`	P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds. Int. J. Comput. Vis. Jiahao Nie, Fei Xie, Sifan Zhou, Xueyi Zhou, Dong-Kyu Chae, Zhiwei He
2025	—	`conf`	Parameter Efficient Tuning for Graph Neural Networks via a Weight Adaptive Module. PAKDD (2) Eunseon Seong, Dong-Kyu Chae
2025	—	`conf`	SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use. NAACL (Industry Track) Hitesh Laxmichand Patel, Amit Agarwal, Arion Das, Bhargava Kumar, Srikant Panda, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Dong-Kyu Chae
2025	J	`jnl`	SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use. CoRR Hitesh Laxmichand Patel, Amit Agarwal, Arion Das, Bhargava Kumar, Srikant Panda, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Dong-Kyu Chae
2025	A	`conf`	Towards Robust Continual Test-Time Adaptation via Neighbor Filtration. CIKM Taki Hasan Rafi, Amit Agarwal, Hitesh Laxmichand Patel, Dong-Kyu Chae
2025	A	`conf`	Waypoint POI Recommendation for Vehicle Navigation Services using Hierarchical Graphs and Contrastive Learning. CIKM Jongsoo Lee, Heejun Shin, Namhyuk Kim, Dong-Kyu Chae
2025	A*	`conf`	What If LLMs Can Smell: A Prototype. IJCAI Xueyi Zhou, Qi Lu, Dong-Kyu Chae
2024	J	`jnl`	A Novel Anomaly Detection Framework Based on Model Serialization. IEICE Trans. Inf. Syst. Byeongtae Park, Dong-Kyu Chae
2024	—	`conf`	A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation. EMNLP (Findings) Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae
2024	—	`conf`	BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering. LREC/COLING Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae
2024	J	`jnl`	BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering. CoRR Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae
2024	—	`conf`	Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning. EACL (Findings) Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae
2024	J	`jnl`	CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions. CoRR Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Karlo Serbetar, Dong-Kyu Chae
2024	—	`conf`	DiaFrame: A Framework for Understanding Bengali Dialects in Human-AI Collaborative Creative Writing Spaces. CSCW Companion Azmine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae
2024	A	`conf`	Discrepancy-guided Channel Dropout for Domain Generalization. CIKM Seonggyeom Kim, Byeongtae Park, Harim Lee, Dong-Kyu Chae
2024	J	`jnl`	Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives. CoRR Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Taki Hasan Rafi, Dong-Kyu Chae
2024	J	`jnl`	Fairness and privacy preserving in federated learning: A survey. Inf. Fusion Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae
2024	J	`jnl`	GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution. CoRR Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Karlo Serbetar, Dong-Kyu Chae
2024	A	`conf`	HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability. CIKM Yoo Hyun Jeong, Sunghyun Hwang, Dong-Kyu Chae
2024	J	`jnl`	MVTamperBench: Evaluating Robustness of Vision-Language Models. CoRR Amit Agarwal, Srikant Panda, Angeline Charles, Bhargava Kumar, Hitesh Laxmichand Patel, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Dong-Kyu Chae
2024	A*	`conf`	Multi-view Mixed Attention for Contrastive Learning on Hypergraphs. SIGIR Jongsoo Lee, Dong-Kyu Chae
2024	J	`jnl`	P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds. CoRR Jiahao Nie, Fei Xie, Sifan Zhou, Xueyi Zhou, Dong-Kyu Chae, Zhiwei He
2024	J	`jnl`	Practical algorithms for weakly flexible job scheduling for smart mold component process. Future Gener. Comput. Syst. Xueyi Zhou, Dong-Kyu Chae, Sang-Chul Lee
2024	A*	`conf`	Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data. AAAI Eunseon Seong, Harim Lee, Dong-Kyu Chae
2024	—	`conf`	SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity. LREC/COLING Jaemin Kim, Yohan Na, Kangmin Kim, Sang-Rak Lee, Dong-Kyu Chae
2024	J	`jnl`	SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity. CoRR Jaemin Kim, Yohan Na, Kangmin Kim, Sang-Rak Lee, Dong-Kyu Chae
2024	—	`conf`	Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning. EACL (Findings) Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae
2024	A*	`conf`	Towards Category Unification of 3D Single Object Tracking on Point Clouds. ICLR Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie
2024	J	`jnl`	Towards Category Unification of 3D Single Object Tracking on Point Clouds. CoRR Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie
2024	J	`jnl`	Towards collaborative fair federated distillation. Eng. Appl. Artif. Intell. Faiza Anan Noor, Nawrin Tabassum, Tahmid Hussain, Taki Hasan Rafi, Dong-Kyu Chae
2024	—	`conf`	Unsupervised Controllable Generation of Diffusion Models with Latent Variables in VAEs. DASFAA (3) Minju Kim, Seonggyeom Kim, Dong-Kyu Chae
2024	J	`jnl`	What Does a Model Really Look at?: Extracting Model-Oriented Concepts for Explaining Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Seonggyeom Kim, Dong-Kyu Chae
2024	—	`conf`	When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings. Tiny Papers @ ICLR Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
2024	J	`jnl`	When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings. CoRR Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
2023	J	`jnl`	A Generalized Look at Federated Learning: Survey and Perspectives. CoRR Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae, Zhaohui Yang
2023	J	`jnl`	ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning. CoRR Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
2023	—	`conf`	An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer's Disease Severity using Multimodal Data. EMBC Md Sarwar Kamal, Linkon Chowdhury, Sonia Farhana Nimmy, Taki Hasan Rafi, Dong-Kyu Chae
2023	J	`jnl`	CoMix: Collaborative filtering with mixup for implicit datasets. Inf. Sci. Jaewan Moon, Yoonki Jeong, Dong-Kyu Chae, Jaeho Choi, Hyunjung Shim, Jongwuk Lee
2023	A	`conf`	DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. CIKM Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae
2023	J	`jnl`	Fairness and Privacy-Preserving in Federated Learning: A Survey. CoRR Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae
2023	A*	`conf`	IMPsys: An Intelligent Mold Processing System for Smart Factory. IJCAI Xueyi Zhou, Yohan Na, Minju Bang, Dong-Kyu Chae
2023	A*	`conf`	Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features. SIGIR Seonmin Kim, Dong-Kyu Chae
2022	Misc	`conf`	A diversity personalization approach towards recommending POIs for Jeju island. SAC Jongsoo Lee, Jung Ah Shin, Dong-Kyu Chae
2022	—	`conf`	Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation. BigComp Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim
2022	A	`conf`	An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering. CIKM Sunghyun Hwang, Dong-Kyu Chae
2022	A	`conf`	Context-aware Traffic Flow Forecasting in New Roads. CIKM Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park
2022	A*	`conf`	ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis. KDD Seonggyeom Kim, Dong-Kyu Chae
2022	—	`conf`	GReFEL: Geometry-Aware Reliable Facial Expression Learning Under Bias and Imbalanced Data Distribution. ACCV (4) Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Karlo Serbetar, Dong-Kyu Chae
2022	—	`conf`	Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis. BigComp Ji Sun Park, Mingu Kang, Sungryoul Lee, Dong-Kyu Chae
2022	A	`conf`	Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. WSDM Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim
2022	A*	`conf`	Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data. IJCAI Harim Lee, Eunseon Seong, Dong-Kyu Chae
2021	A*	`conf`	MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups. CCS Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim
2020	A	`conf`	A Human-in-the-Loop Approach to Malware Author Classification. CIKM Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi, Sang-Wook Kim
2020	A*	`conf`	AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. SIGIR Dong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim
2020	J	`jnl`	Incremental feature selection for efficient classification of dynamic graph bags. Concurr. Comput. Pract. Exp. Dong-Kyu Chae, Bo-Kyum Kim, Seung Ho Kim, Sang-Wook Kim
2020	—	`conf`	Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation. DASFAA (3) Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim
2019	J	`jnl`	A tripartite-graph based recommendation framework for price-comparison services. Comput. Sci. Inf. Syst. Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae
2019	J	`jnl`	Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation. Knowl. Based Syst. Dong-Kyu Chae, Sang-Wook Kim, Jung-Tae Lee
2019	J	`jnl`	Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework. IEEE Access Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim
2019	J	`jnl`	Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments. Knowl. Based Syst. Jangwan Koo, Dong-Kyu Chae, Dong-Jin Kim, Sang-Wook Kim
2019	A*	`conf`	Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. WWW Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jaeho Choi
2018	J	`jnl`	An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously. IEICE Trans. Inf. Syst. Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae
2018	A	`conf`	CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks. CIKM Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jung-Tae Lee
2018	J	`jnl`	Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions. Inf. Sci. Hee-Jeong Kim, Jongwuk Lee, Dong-Kyu Chae, Sang-Wook Kim
2018	J	`jnl`	Influence maximisation in social networks: A target-oriented estimation. J. Inf. Sci. Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim
2018	J	`jnl`	On identifying k-nearest neighbors in neighborhood models for efficient and effective collaborative filtering. Neurocomputing Dong-Kyu Chae, Sang-Chul Lee, Si-Yong Lee, Sang-Wook Kim
2017	—	`conf`	A Single-Step Approach to Recommendation Diversification. WWW (Companion Volume) Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae
2017	J	`jnl`	Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors. IEICE Trans. Inf. Syst. Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim
2017	B	`conf`	Incremental maintenance of C-Rank scores in dynamic web environment. SMC Jangwan Koo, Dong-Jin Kim, Dong-Kyu Chae, Sang-Wook Kim
2017	—	`conf`	On Classifying Dynamic Graph Bags. RACS Dong-Kyu Chae, Bo-Kyum Kim, Seung Ho Kim, Sang-Wook Kim
2017	—	`conf`	On Detecting Frauds in Comparison-Shopping Services. WWW (Companion Volume) Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim
2016	—	`conf`	Accurate Path-based Methods for Influence Maximization in Social Networks. WWW (Companion Volume) Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim
2016	Misc	`conf`	Analyzing crowdsourced promotion effects in online social networks. SAC Hee-Jeong Kim, Dong-Kyu Chae, Sang-Wook Kim, Jongwuk Lee
2016	J	`jnl`	Credible, resilient, and scalable detection of software plagiarism using authority histograms. Knowl. Based Syst. Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, BooJoong Kang, Eul Gyu Im, Sunju Park
2016	—	`conf`	Scalable collaborative filtering based on efficient identification of similar users. IC-NIDC Sang-Chul Lee, Si-Yong Lee, Dong-Kyu Chae, Sang-Wook Kim
2015	A	`conf`	DAAV: Dynamic API Authority Vectors for Detecting Software Theft. CIKM Dong-Kyu Chae, Sang-Wook Kim, Seong-je Cho, Yesol Kim
2015	J	`jnl`	Effective and efficient detection of software theft via dynamic API authority vectors. J. Syst. Softw. Dong-Kyu Chae, Sang-Wook Kim, Seong-je Cho, Yesol Kim
2013	Misc	`conf`	Software plagiarism detection via the static API call frequency birthmark. SAC Dong-Kyu Chae, Sang-Wook Kim, Jiwoon Ha, Sang-Chul Lee, Gyun Woo
2013	A	`conf`	Software plagiarism detection: a graph-based approach. CIKM Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, BooJoong Kang, Eul Gyu Im