• Korea University, Seoul, South Korea ( 2025.03 ~ )
  Assistant Professor
  Dept. of Computer Science & Engineering
  
  

• Sogang University, Seoul, South Korea ( 2023.08 ~ 2025.02 )
  Assistant Professor
  Dept. of Artificial Intelligence
  Dept. of Computer Science & Engineering
  
  

• Hyperconnect Inc., Seoul, South Korea ( 2020.07 ~ 2023.07 )
  Machine Learning Research Scientist
  Technical Research Personnel (Alternative Military Service in South Korea)

• Multimodal Machine Learning

• Natural Language Processing

• Data Mining

Preprint

• [P3] Dataset Cartography for Large Language Model Alignment: Mapping and Diagnosing Preference Data
  Seohyeong Lee†, Eunwon Kim†, Hwaran Lee, Buru Chang

• [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

2025

• [C21] 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
  Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP25)

• [C20] Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning
  Yejin Kim†, Eunwon Kim†, Buru Chang*, Junsuk Choe*
  Conference on Language Modeling (COLM25)

• [C19] SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script
  Eunwon Kim†, Chanho Park†, Buru Chang
  Annual Meeting of the Association for Computational Linguistics (ACL25)

• [C18] Personalized Preference Reasoning with Large Language Models for Accurate and Explainable Recommendation
  Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR25) 

• [C17] Is the 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models via Egocentric Instruction Tuning
  Ji Hyeok Jung, Eun Tae Kim, Seo Yeon Kim, Joo Ho Lee, Bumsoo Kim*, Buru Chang*
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR25)

• [C16] ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
  Yeji Park†, Deokyeong Lee†, Junsuk Choe*, Buru Chang*
  AAAI Conference on Artificial Intelligence (AAAI25)

2024

• [W5] 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 Kee, Gihoon Yeom, Buru Chang, Gihun Lee
  Workshop on User Understanding from Big Data Workshop (DMU2@ICDM24)

• [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 (IF:3.759)

2018

• [J1] DeepPIM: A Deep Neural Point-of-Interest Imputation Model
  Buru Chang, Yonggyu Park, Seongsoon Kim, Jaewoo Kang
  Information Sciences (IF: 5.910)

• [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)

• Method and apparatus for new drug candidate discovery (US20210202047A1)
  Jaewoo Kang, Minji Jeon, Buru Chang, Jungsoo Park, Sungjoon Park, Sunkyu Kim

• Embedding Normalization Method and Electronic Device Using Same (US20220207368A1)
  Sangil Ahn, Joonyoung Yi, Beomsu Kim, Buru Chang

• Method and Device for Classifying Data (US20220207367A1)
  Sangil Ahn, Youngkyu Hong, SeungJu Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang

• Method of Generating Conversation Information Using Examplar-Based Generation Model and Apparatus for the Same (US20230077528)
  Enkhbayar Erdenee, Beomsu Kim, Seokjun Seo, Sangil Ahn, Buru Chang, SeungJu Han

• Dialogue Model Training Method and Device Therefor (US20230080930)
  Seokjun Seo, SeungJu Han, Beomsu Kim, Buru Chang, Enkhbayar Erdenee

• Apparatus for Training Model, Method and Computer Readable Recording Medium Thereof (US20230135163)
  Jacob Richard Morton, Martin Kersner, Sangil Ahn, Buru Chang, Kwanghee Choi

• Apparatus for Evaluating and Improving Response, Method and Computer Readable Recording Medium Thereof (US20230229864)
  Beomsu Kim, Buru Chang, SeungJu Han

• Apparatus for Training and Method Thereof (US20230281457)
  Seong Min Kye, Kwang Hee Choi, Buru Chang

• Method of Generating Response Using Utterance and Apparatus Therefor (US20230154453A1)
  Enkhbayar Erdenee, Beomsu Kim, Sang Bum Kim, Seok Jun Seo, Jin Yong Yoo, Buru Chang, Seung Ju Han

• Apparatus for Evaluating and Improving Response, Method and Computer Readable Recording Medium Thereof (US20230229964A1)
  Beomsu Kim, Buru Chang, Seung Ju Han

• Apparatus for Domain Generalization of Machine Learning Models, Methods and Computer Readable Recording Mediums Therefor (US20240087294A1)
  Buru Chang, Byoung Gyu Lew, Dong Hyun SON

• Outstanding Paper Award, at ACLW (NLP4ConvAI), May 2022

• Best Paper Award, at ICDMW (NeuRec), December 2021

• SIAM Student Travel Award , April 2020

• Third place in CTD² Pancancer Drug Activity DREAM Challenge, April 2020

• Top performers in the IDG-DREAM Drug-Kinase Binding Prediction Challenge, Presented at the RSG with DREAM Conference, NY in November 2019

• NAVER Ph.D Fellowship, December 2018

• National Science & Technology Scholarship, March 2012 - February 2016

• Conference  Organizer
  IJCAI 2024 (Exhibition Chair)
  CIKM 2025 (Local Chair)

• Area Chair
  ACL Rolling Review

• Program Committee
  WWW 2021, 2022, 2023, 2024, 2025
  KDD 2023, 2024, 2025
  WSDM 2023, 2024
  ACL 2021, 2023, 2024, 2025
  EMNLP 2021, 2022, 2023, 2024
  NAACL 2021, 2024
  EACL 2023
  CVPR 2024, 2026
  AAAI 2021, 2022, 2024, 2026
  IJCAI 2021, 2022, 2023