Preprint
[P4] ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
Yeji Park†, Deokyeong Lee†, Junsuk Choe*, Buru Chang*
[P3] Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee
[P2] In-context Learning with Noisy Labels
Junyong Kang, Donghyun Son, Hwanjun Song, Buru Chang
[P1] Pseudo-Edge: Semi-Supervised Link Prediction with Graph Neural Networks
Hyunjin Seo, Seongjun Yun, Buru Chang, Jaewoo Kang
2024
[C15] Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
Minchan Kim, Minyeong Kim, Junik Bae, Suhwan Choi, Sungkyung Kim, Buru Chang
European Conference on Computer Vision (ECCV24)
[C14] 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
ACM International Conference on Designing Interactive Systems 2024 (DIS24)
2023
[W4] Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models
Byounggyu Lew, Donghyun Son, Buru Chang
Workshop and Challenges for Out-of-Distribution Generalization in Computer Vision @ ICCV2023 (OOD-CV@ICCV23)
[C13] TiDAL: Learning Training Dynamics for Active Learning
Seong Min Kye, Kwanghee Choi, Hyeongmin Byun, Buru Chang
IEEE International Conference on Computer Vision (ICCV23)
[C12] 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
ACM International Conference on Web Search and Data Mining (WSDM23, Oral)
2022
[C11] Measuring and Improving Semantic Diversity of Dialogue Generation
Seungju Han, Beomsu Kim, Buru Chang
Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP22)
[C10] Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang
European Conference on Computer Vision (ECCV22)
[C9] Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances
Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, Buru Chang
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL22)
[W3] Understanding and Improving the Exemplar-based Generation for Open-domain Conversation (Outstanding Paper Award)
Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang
NLP for Conversational AI workshop @ ACL 2022 (NLP4ConvAI@ACL22)
[C8] Temporal Knowledge Distillation for On-device Audio Classification
Kwanghee Choi, Martin Kersner, Jacob Morton, Buru Chang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP22)
2021
[W2] Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction (Best Paper Award)
Joonyoung Yi, Beomsu Kim, Buru Chang
Advanced Neural Algorithms and Theories for Recommender Systems Workshop @ ICDM 2021 (NeuRec@ICDM21)
[C7] Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation
Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang
Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP21)
[W1] Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
Joonyoung Yi, Buru Chang
Practical ML for Developing Countries Workshop @ ICLR 2021 (PML4DC@ICLR21)
[C6] Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR21)
[C5] “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
Conference of the European Chapter of the Association for Computational Linguistics (EACL21)
2020
[C4] Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation
Buru Chang, Gwanghoon Jang, Seoyoon Kim, Jaewoo Kang
ACM International Conference on Information and Knowledge Management (CIKM20)
[C3] Content-Aware Successive Point-of-Interest Recommendation
Buru Chang, Yookyung Koh, Donghyeon Park, Jaewoo Kang
SIAM International Conference on Data Mining (SDM20)
2019
[J2] ARPNet: Antidepressant Response Prediction Model for Major Depressive Disorder
Buru Chang, Yonghwa Choi, Minji Jeon, Junhyun Lee, Kyu-Man Han, Aram Kim, Byung-Joo Ham, Jaewoo Kang
Genes
2018
[J1] DeepPIM: A Deep Neural Point-of-Interest Imputation Model
Buru Chang, Yonggyu Park, Seongsoon Kim, Jaewoo Kang
Information Sciences
[C2] Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation
Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang
International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI18)
[C1] A Deep Neural Spoiler Detection Model using a Genre-Aware Attention Mechanism
Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD18)