Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. - Buru Chang; Yonggyu Park; Donghyeon Park; Seongsoon Kim; Jaewoo Kang (IJCAI, 2018)

A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism. - Buru Chang; Hyunjae Kim; Raehyun Kim; Deahan Kim; Jaewoo Kang (PAKDD (1), 2018)

DeepPIM: A deep neural point-of-interest imputation model. - Buru Chang; Yonggyu Park; Seongsoon Kim; Jaewoo Kang (Inf. Sci., 2018)

Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation. - Buru Chang; Gwanghoon Jang; Seoyoon Kim; Jaewoo Kang (CIKM, 2020)

Content-Aware Successive Point-of-Interest Recommendation. - Buru Chang; Yookyung Koh; Donghyeon Park; Jaewoo Kang (SDM, 2020)

Disentangling Label Distribution for Long-Tailed Visual Recognition. - Youngkyu Hong; Seungju Han 002; Kwanghee Choi; Seokjun Seo; Beomsu Kim; Buru Chang (CVPR, 2021)

"Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism. - Buru Chang; Inggeol Lee; Hyunjae Kim; Jaewoo Kang (EACL, 2021)

Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation. - Beomsu Kim; Seokjun Seo; Seungju Han 002; Enkhbayar Erdenee; Buru Chang (EMNLP (Findings), 2021)

Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction. - Joonyoung Yi; Beomsu Kim; Buru Chang (ICDM (Workshops), 2021)

Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning. - Joonyoung Yi; Buru Chang (CoRR, 2021)

Understanding and Improving the Exemplar-based Generation for Open-domain Conversation. - Seungju Han 002; Beomsu Kim; Seokjun Seo; Enkhbayar Erdenee; Buru Chang (ConvAI@ACL, 2022)

Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection. - Seong Min Kye; Kwanghee Choi; Joonyoung Yi; Buru Chang (ECCV (25), 2022)

Measuring and Improving Semantic Diversity of Dialogue Generation. - Seungju Han 002; Beomsu Kim; Buru Chang (EMNLP (Findings), 2022)

Temporal Knowledge Distillation for on-device Audio Classification. - Kwanghee Choi; Martin Kersner; Jacob Morton; Buru Chang (ICASSP, 2022)

Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances. - Seungju Han 002; Beomsu Kim; Jin Yong Yoo; Seokjun Seo; Sangbum Kim; Enkhbayar Erdenee; Buru Chang (NAACL-HLT, 2022)

TiDAL: Learning Training Dynamics for Active Learning. - Seong Min Kye; Kwanghee Choi; Buru Chang (CoRR, 2022)

TiDAL: Learning Training Dynamics for Active Learning. - Seong Min Kye; Kwanghee Choi; Hyeongmin Byun; Buru Chang (ICCV, 2023)

Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models. - Byounggyu Lew; Donghyun Son; Buru Chang (ICCV (Workshops), 2023)

Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild. - Donghyun Son; Byounggyu Lew; Kwanghee Choi; Yongsu Baek; Seungwoo Choi; Beomjun Shin; Sungjoo Ha; Buru Chang (WSDM, 2023)

Exploring Intervention Techniques to Alleviate Negative Emotions during Video Content Moderation Tasks as a Worker-centered Task Design. - Dokyun Lee; Sangeun Seo; Chanwoo Park; Sunjun Kim; Buru Chang; Jean Y. Song (Conference on Designing Interactive Systems, 2024)

Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models. - Minchan Kim; Minyeong Kim 003; Junik Bae; Suhwan Choi; Sungkyung Kim; Buru Chang (ECCV (86), 2024)

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform. - Beomsu Kim; Sangbum Kim; Minchan Kim; Joonyoung Yi; Sungjoo Ha; Suhyun Lee; Youngsoo Lee; Gihoon Yeom; Buru Chang; Gihun Lee (ICDM (Workshops), 2024)

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform. - Beomsu Kim; Sangbum Kim; Minchan Kim; Joonyoung Yi; Sungjoo Ha; Suhyun Lee; Youngsoo Lee; Gihun Yeom; Buru Chang; Gihun Lee (CoRR, 2024)

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Language Models through Egocentric Instruction Tuning. - Ji Hyeok Jung; Eun Tae Kim; Seo Yeon Kim; Joo Ho Lee; Bumsoo Kim; Buru Chang (CoRR, 2024)

In-Context Learning with Noisy Labels. - Junyong Kang; Donghyun Son; Hwanjun Song; Buru Chang (CoRR, 2024)

ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. - Yeji Park; Deokyeong Lee; Junsuk Choe; Buru Chang (AAAI, 2025)

SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script. - Eunwon Kim; Chanho Park; Buru Chang (ACL (1), 2025)

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning. - Ji Hyeok Jung; Eun Tae Kim; Seo Yeon Kim; Joo Ho Lee; Bumsoo Kim; Buru Chang (CVPR, 2025)

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. - Jieyong Kim; Hyunseo Kim 002; Hyunjin Cho; SeongKu Kang; Buru Chang; Jinyoung Yeo; Dongha Lee 003 (SIGIR, 2025)

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems. - Chanwoo Choi; Jinsoo Kim; Sukmin Cho; Soyeong Jeong; Buru Chang (CoRR, 2025)

Dataset Cartography for Large Language Model Alignment: Mapping and Diagnosing Preference Data. - Seohyeong Lee; Eunwon Kim; Hwaran Lee; Buru Chang (CoRR, 2025)