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2020 – today
- 2025
[j20]Muhammad Umar Farooq, Haris Ghafoor, Azka Rehman, Muhammad Usman, Dong-Kyu Chae:
GDSSA-Net: A gradually deeply supervised self-ensemble attention network for IoMT-integrated thyroid nodule segmentation. Internet Things 31: 101598 (2025)- [j19]Hyebin Kim, Eunseon Seong, Harim Lee, Dong-Kyu Chae, Sugie Lee:
Decoding multiculturalism through linguistic landscapes: a deep learning-based OCR analysis of street view images. Urban Inform. 4(1): 5 (2025) - 2024
- [j18]Faiza Anan Noor, Nawrin Tabassum
, Tahmid Hussain, Taki Hasan Rafi, Dong-Kyu Chae:
Towards collaborative fair federated distillation. Eng. Appl. Artif. Intell. 137: 109216 (2024) - [j17]Xueyi Zhou, Dong-Kyu Chae, Sang-Chul Lee:
Practical algorithms for weakly flexible job scheduling for smart mold component process. Future Gener. Comput. Syst. 160: 197-211 (2024) - [j16]Byeongtae Park, Dong-Kyu Chae:
A Novel Anomaly Detection Framework Based on Model Serialization. IEICE Trans. Inf. Syst. 107(3): 420-423 (2024) - [j15]Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae:
Fairness and privacy preserving in federated learning: A survey. Inf. Fusion 105: 102198 (2024) - [j14]Seonggyeom Kim, Dong-Kyu Chae:
What Does a Model Really Look at?: Extracting Model-Oriented Concepts for Explaining Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4612-4624 (2024) - [c42]Eunseon Seong, Harim Lee, Dong-Kyu Chae:
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data. AAAI 2024: 22341-22349 - [c41]Yoo Hyun Jeong, Sunghyun Hwang, Dong-Kyu Chae:
HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability. CIKM 2024: 983-993 - [c40]Seonggyeom Kim, Byeongtae Park, Harim Lee, Dong-Kyu Chae:
Discrepancy-guided Channel Dropout for Domain Generalization. CIKM 2024: 1110-1120 - [c39]Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae:
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering. LREC/COLING 2024: 2100-2106 - [c38]Jaemin Kim, Yohan Na, Kangmin Kim, Sang-Rak Lee, Dong-Kyu Chae:
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity. LREC/COLING 2024: 14693-14704 - [c37]Azmine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae:
DiaFrame: A Framework for Understanding Bengali Dialects in Human-AI Collaborative Creative Writing Spaces. CSCW Companion 2024: 268-274 - [c36]Minju Kim, Seonggyeom Kim, Dong-Kyu Chae:
Unsupervised Controllable Generation of Diffusion Models with Latent Variables in VAEs. DASFAA (3) 2024: 495-504 - [c35]Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae:
Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning. EACL (Findings) 2024: 550-559 - [c34]Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae:
Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning. EACL (Findings) 2024: 560-569 - [c33]Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae:
A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation. EMNLP (Findings) 2024: 5553-5572 - [c32]Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie:
Towards Category Unification of 3D Single Object Tracking on Point Clouds. ICLR 2024 - [c31]Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae:
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings. Tiny Papers @ ICLR 2024 - [c30]Jongsoo Lee, Dong-Kyu Chae:
Multi-view Mixed Attention for Contrastive Learning on Hypergraphs. SIGIR 2024: 2543-2547 - [i12]Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie:
Towards Category Unification of 3D Single Object Tracking on Point Clouds. CoRR abs/2401.11204 (2024) - [i11]Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae:
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings. CoRR abs/2403.12984 (2024) - [i10]Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Karlo Serbetar, Dong-Kyu Chae:
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions. CoRR abs/2403.17210 (2024) - [i9]Jaemin Kim, Yohan Na, Kangmin Kim, Sang-Rak Lee, Dong-Kyu Chae:
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity. CoRR abs/2404.01104 (2024) - [i8]Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae:
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering. CoRR abs/2404.03528 (2024) - [i7]Jiahao Nie, Fei Xie, Sifan Zhou, Xueyi Zhou, Dong-Kyu Chae, Zhiwei He:
P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds. CoRR abs/2407.05238 (2024) - [i6]Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Taki Hasan Rafi, Dong-Kyu Chae:
Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives. CoRR abs/2407.18376 (2024) - [i5]Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Karlo Serbetar, Dong-Kyu Chae:
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution. CoRR abs/2410.15927 (2024) - [i4]Amit Agarwal, Srikant Panda, Angeline Charles, Bhargava Kumar, Hitesh Laxmichand Patel, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Dong-Kyu Chae:
MVTamperBench: Evaluating Robustness of Vision-Language Models. CoRR abs/2412.19794 (2024) - 2023
- [j13]Jaewan Moon, Yoonki Jeong, Dong-Kyu Chae, Jaeho Choi, Hyunjung Shim, Jongwuk Lee:
CoMix: Collaborative filtering with mixup for implicit datasets. Inf. Sci. 628: 254-268 (2023) - [c29]Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae:
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. CIKM 2023: 1188-1197 - [c28]Md Sarwar Kamal, Linkon Chowdhury, Sonia Farhana Nimmy, Taki Hasan Rafi, Dong-Kyu Chae:
An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer's Disease Severity using Multimodal Data. EMBC 2023: 1-4 - [c27]Xueyi Zhou, Yohan Na, Minju Bang, Dong-Kyu Chae:
IMPsys: An Intelligent Mold Processing System for Smart Factory. IJCAI 2023: 7187-7190 - [c26]Seonmin Kim, Dong-Kyu Chae:
Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features. SIGIR 2023: 2134-2138 - [i3]Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae, Zhaohui Yang:
A Generalized Look at Federated Learning: Survey and Perspectives. CoRR abs/2303.14787 (2023) - [i2]Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae:
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning. CoRR abs/2305.01486 (2023) - [i1]Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae:
Fairness and Privacy-Preserving in Federated Learning: A Survey. CoRR abs/2306.08402 (2023) - 2022
- [c25]Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Karlo Serbetar, Dong-Kyu Chae:
GReFEL: Geometry-Aware Reliable Facial Expression Learning Under Bias and Imbalanced Data Distribution. ACCV (4) 2022: 465-482 - [c24]Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim:
Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation. BigComp 2022: 292-295 - [c23]Ji Sun Park, Mingu Kang, Sungryoul Lee, Dong-Kyu Chae:
Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis. BigComp 2022: 314-317 - [c22]Sunghyun Hwang, Dong-Kyu Chae:
An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering. CIKM 2022: 802-811 - [c21]Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park:
Context-aware Traffic Flow Forecasting in New Roads. CIKM 2022: 4133-4137 - [c20]Harim Lee, Eunseon Seong, Dong-Kyu Chae:
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data. IJCAI 2022: 3868-3876 - [c19]Seonggyeom Kim, Dong-Kyu Chae:
ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis. KDD 2022: 795-803 - [c18]Jongsoo Lee, Jung Ah Shin, Dong-Kyu Chae:
A diversity personalization approach towards recommending POIs for Jeju island. SAC 2022: 1804-1807 - [c17]Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim:
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. WSDM 2022: 784-793 - 2021
- [c16]Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim:
MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups. CCS 2021: 2441-2443 - 2020
- [j12]Dong-Kyu Chae, Bo-Kyum Kim, Seung Ho Kim, Sang-Wook Kim:
Incremental feature selection for efficient classification of dynamic graph bags. Concurr. Comput. Pract. Exp. 32(18) (2020) - [c15]Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi, Sang-Wook Kim:
A Human-in-the-Loop Approach to Malware Author Classification. CIKM 2020: 3289-3292 - [c14]Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim:
Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation. DASFAA (3) 2020: 607-620 - [c13]Dong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim:
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. SIGIR 2020: 1251-1260
2010 – 2019
- 2019
- [j11]Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim:
Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework. IEEE Access 7: 37650-37663 (2019) - [j10]Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae:
A tripartite-graph based recommendation framework for price-comparison services. Comput. Sci. Inf. Syst. 16(2): 333-357 (2019) - [j9]Dong-Kyu Chae, Sang-Wook Kim, Jung-Tae Lee:
Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation. Knowl. Based Syst. 176: 110-121 (2019) - [j8]Jangwan Koo, Dong-Kyu Chae, Dong-Jin Kim, Sang-Wook Kim:
Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments. Knowl. Based Syst. 176: 147-158 (2019) - [c12]Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jaeho Choi:
Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. WWW 2019: 2616-2622 - 2018
- [j7]Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae:
An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously. IEICE Trans. Inf. Syst. 101-D(1): 244-248 (2018) - [j6]Dong-Kyu Chae, Sang-Chul Lee, Si-Yong Lee, Sang-Wook Kim:
On identifying k-nearest neighbors in neighborhood models for efficient and effective collaborative filtering. Neurocomputing 278: 134-143 (2018) - [j5]Hee-Jeong Kim, Jongwuk Lee, Dong-Kyu Chae, Sang-Wook Kim:
Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions. Inf. Sci. 432: 185-198 (2018) - [j4]Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim:
Influence maximisation in social networks: A target-oriented estimation. J. Inf. Sci. 44(5): 671-682 (2018) - [c11]Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jung-Tae Lee:
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks. CIKM 2018: 137-146 - 2017
- [j3]Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim:
Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors. IEICE Trans. Inf. Syst. 100-D(10): 2659-2663 (2017) - [c10]Dong-Kyu Chae, Bo-Kyum Kim, Seung Ho Kim, Sang-Wook Kim:
On Classifying Dynamic Graph Bags. RACS 2017: 62-66 - [c9]Jangwan Koo, Dong-Jin Kim, Dong-Kyu Chae, Sang-Wook Kim:
Incremental maintenance of C-Rank scores in dynamic web environment. SMC 2017: 1570-1574 - [c8]Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae:
A Single-Step Approach to Recommendation Diversification. WWW (Companion Volume) 2017: 809-810 - [c7]Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim:
On Detecting Frauds in Comparison-Shopping Services. WWW (Companion Volume) 2017: 811-812 - 2016
- [j2]Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, Boojoong Kang, Eul Gyu Im, Sunju Park:
Credible, resilient, and scalable detection of software plagiarism using authority histograms. Knowl. Based Syst. 95: 114-124 (2016) - [c6]Sang-Chul Lee, Si-Yong Lee, Dong-Kyu Chae, Sang-Wook Kim:
Scalable collaborative filtering based on efficient identification of similar users. IC-NIDC 2016: 210-213 - [c5]Hee-Jeong Kim, Dong-Kyu Chae, Sang-Wook Kim, Jongwuk Lee:
Analyzing crowdsourced promotion effects in online social networks. SAC 2016: 820-823 - [c4]Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim:
Accurate Path-based Methods for Influence Maximization in Social Networks. WWW (Companion Volume) 2016: 59-60 - 2015
- [j1]Dong-Kyu Chae, Sang-Wook Kim, Seong-je Cho, Yesol Kim:
Effective and efficient detection of software theft via dynamic API authority vectors. J. Syst. Softw. 110: 1-9 (2015) - [c3]Dong-Kyu Chae, Sang-Wook Kim, Seong-je Cho, Yesol Kim:
DAAV: Dynamic API Authority Vectors for Detecting Software Theft. CIKM 2015: 1819-1822 - 2013
- [c2]Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, Boojoong Kang, Eul Gyu Im:
Software plagiarism detection: a graph-based approach. CIKM 2013: 1577-1580 - [c1]Dong-Kyu Chae, Sang-Wook Kim, Jiwoon Ha, Sang-Chul Lee, Gyun Woo:
Software plagiarism detection via the static API call frequency birthmark. SAC 2013: 1639-1643
Coauthor Index
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last updated on 2025-05-05 20:42 CEST by the dblp team
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