Publications

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks

Advances in Neural Information Processing Systems (NeurIPS)

Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon, MoonJeong Park, Jungseul Ok, Dongwoo Kim

High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction

Advances in Neural Information Processing Systems (NeurIPS)

Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn

AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models

Empirical Methods in Natural Language Processing (EMNLP)

Sangjun Lee*, Seung-taek Woo*, Jun-gyu Jin, Changhun Lee, Eunhyeok Park

PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality

Empirical Methods in Natural Language Processing (EMNLP)

Byeongho Yu*, Changhun Lee*, Jun-gyu Jin, Eunhyeok Park

CoPL: Collaborative Preference Learning for Personalizing Large Language Models

Empirical Methods in Natural Language Processing (EMNLP)

Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim

MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries

Empirical Methods in Natural Language Processing (EMNLP)

Jonghwi Kim, Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Jungseul Ok, Gary Lee

Grouped Speculative Decoding for Autoregressive Image Generation

International Conference on Computer Vision (ICCV)

Junhyuk So, Juncheol Shin, Hyunho Kook, Eunhyeok Park

Addressing Attribute Leakage in Text Embeddings for Image Editing with Diffusion Models

International Conference on Computer Vision (ICCV)

Sunung Mun*, Jinhwan Nam*, Sunghyun Cho, Jungseul Ok

DeRAGEC: Denoising Named Entity Candidtes with Synthetic Rationale for ASR Error Correction

Annual Meeting of the Association for Computational Linguistics (ACL)

Solee Im, Wonjun Lee, Jinmyeong An, Yunsu Kim, Jungseul Ok, Gary Lee

Comparison-based Active Preference Learning for Multi-dimensional Personalization

Annual Meeting of the Association for Computational Linguistics (ACL)

Minhyeon Oh, Seungjoon Lee, Jungseul Ok

Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization

International Conference on Machine Learning (ICML)

Seungbeom Lee*, Munsun Jo*, Jungseul Ok, Dongwoo Kim

Towards Bridging Generalization and Expressivity of Graph Neural Networks

International Conference on Learning Representations (ICLR)

Shouheng Li, Floris Geerts, Dongwoo Kim, Qing Wang

Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok

DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Wonjun Lee, Solee Im, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Lee

An Investigation Into Explainable Audio Hate Speech Detection

Special Interest Group on Discourse and Dialogue (SIGDIAL)

Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee

Key-Element-Informed sLLM Tuning for Document Summarization

Annual Conference of the International Speech Communication Association (INTERSPEECH)

Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok

Mitigating Over-smoothing through Reverse Process GNN for Heterophilic Graphs

International Conference on Machine Learning (ICML)

MoonJeong Park, Jaeseung Heo, Dongwoo Kim

Gaussian Plane-Wave Neural Operator for Electron Density Estimation

International Conference on Machine Learning (ICML)

Seongsu Kim, Sungsoo Ahn

Active Label Correction for Semantic Segmentation with Foundation Models

International Conference on Machine Learning (ICML)

Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok

Breadth-First Exploration in Adaptive Grid-based Reinforcement Learning

International Conference on Machine Learning (ICML)

Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok

Optimal Clustering from Noisy Binary Feedback

Machine Learning

Kaito Ariu, Jungseul Ok, Alexandre Proutiere, Seyoung Yun

Few-shot Unlearning

IEEE Symposium on Security and Privacy (S\\&P)

Youngsik Yoon*, Jinhwan Nam*, Hyojeong Yun, Jaeho Lee, Dongwoo Kim, Jungseul Ok

Reinforcement learning

Alexandre Proutiere, Sadegh Talebi, Jungseul Ok

Retrieval-Augmented Generation with Estimation of Source Reliability

Empirical Methods in Natural Language Processing (EMNLP)

Jeongyeon Hwang, Junyoung Park, Hyejin Park, Dongwoo Kim, Sangdon Park, Jungseul Ok

Self-Training Large Language Models with Confident Reasoning

Findings of Empirical Methods in Natural Language Processing (EMNLP-Findings)

Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn

Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs

Findings of Empirical Methods in Natural Language Processing (EMNLP-Findings)

Sungjae Lee, Hoyoung Kim, Jeongyeon Hwang, Eunhyeok Park, Jungseul Ok

GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder

Findings of Empirical Methods in Natural Language Processing (EMNLP-Findings)

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

ChronoBias: A Benchmark for Evaluating Temporal Group Bias in Retrieval-augmented Language Models

Findings of Empirical Methods in Natural Language Processing (EMNLP-Findings)

Kyungmin Kim, Youngbin Choi, Hyounghun Kim, Dongwoo Kim, Sangdon Park

Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning

International Conference on Computer Vision (ICCV)

Saemi Moon*, Minjong Lee*, Sangdon Park, Dongwoo Kim

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark

Knowledge Discovery and Data Mining (KDD)

Suyeon Kim, Seongku Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu

Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients

Annual Meeting of the Association for Computational Linguistics (ACL)

Jabin Koo*, Minwoo Jang*, Jungseul Ok

Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models

Annual Meeting of the Association for Computational Linguistics (ACL)

Sungjae Lee*, Hyejin Park*, Jaechang Kim, Jungseul Ok

Toward Affective Empathy via Personalized Analogy Generation: A Case Study on Microaggression

Computer Human Interaction (CHI)

Hyojin Ju, Jungeun Lee, Seungwon Yang, Jungseul Ok, Inseok Hwang

Revisiting Early Detection of Sexual Predators via Turn-level Optimization

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

JinMyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Lee

Enhancing Cost Efficiency in Active Learning with Candidate Set Query

Transactions on Machine Learning Research (TMLR)

Yeho Gwon, Sehyun Hwang, Hoyoung Kim, Jungseul Ok, Suha Kwak

Active Prompt Learning with Vision-Language Model Priors

Transactions on Machine Learning Research (TMLR)

Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, Jungseul Ok

GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Advances in Neural Information Processing Systems (NeurIPS)

Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park

SEAL: Scaling to emphasize attention for long-context retrieval

Annual Meeting of the Association for Computational Linguistics (ACL)

Changhun Lee, Minsang Seok, Jun-gyu Jin, Younghyun Cho, Eunhyeok Park

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation

International Conference on Machine Learning (ICML)

Juncheol Shin, Minsang Seok, Seonggon Kim, Eunhyeok Park

PCM: Picard Consistency Model for Fast Parallel Sampling of Diffusion Models

Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)

Junhyuk So, Jiwoong Shin, Chaeyeon Jang, Eunhyeok Park

HOT: Hadamard-based Optimized Training

Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)

Seonggon Kim, Juncheol Shin, Seung-taek Woo, Eunhyeok Park

Selective Generation for Controllable Language Models

Advances in Neural Information Processing Systems (NeurIPS)

Minjae Lee*, Kyungmin Kim*, Taesoo Kim, Sangdon Park

Pessimistic Backward Policy for GFlowNets

Advances in Neural Information Processing Systems (NeurIPS)

Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyu Park, Sungsoo Ahn

MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory

European Conference on Computer Vision (ECCV)

Juwon Kang, Nayeong Kim, Jungseul Ok, Suha Kwak

Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning

Annual Meeting of the Association for Computational Linguistics (ACL)

Sangwon Ryu*, Heejin Do*, Yunsu Kim, Gary Lee, Jungseul Ok

Hybrid Neural Representation for Spherical Data

International Conference on Machine Learning (ICML)

Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn

Enhancing Sample Efficiency in Black-box Combinatorial Optimization via Symmetric Replay Training

International Conference on Machine Learning (ICML)

Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

Tackling Complex Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More

International Conference on Machine Learning (ICML)

Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization

International Conference on Machine Learning (ICML)

Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak

Fragment-based Multi-view Molecular Contrastive Learning

Transactions on Machine Learning Research

Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost

International Joint Conference on Artificial Intelligence (IJCAI)

Jaeseung Heo*, Seungbeom Lee*, Sungsoo Ahn, Dongwoo Kim

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Yiqun Zhang, Zhenyue Qin, Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

MedBN: Robust Test-Time Adaptation against Malicious Test Samples

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Hyejin Park*, Jeongyeon Hwang*, Sunung Mun, Sangdon Park, Jungseul Ok

CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho

PAC Prediction Sets Under Label Shift

International Conference on Learning Representations (ICLR)

Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani

Learning Energy Decompositions for Partial Inference in GFlowNets

International Conference on Learning Representations (ICLR)

Hyosoon Jang, Minsoo Kim, Sungsoo Ahn

A Simple and Scalable Representation for Graph Generation

International Conference on Learning Representations (ICLR)

Yunhui Jang, Seul Lee, Sungsoo Ahn

Graph Generation with K2 Trees

International Conference on Learning Representations (ICLR)

Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

Local Search GFlowNets

International Conference on Learning Representations (ICLR)

Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park

Feature Unlearning for Pre-trained GANs and VAEs

AAAI Conference on Artificial Intelligence (AAAI)

Saemi Moon, Seunghyuk Cho, Dongwoo Kim

Non-backtracking Graph Neural Networks

Advances in Neural Information Processing Systems (NeurIPS), Workshop on New Frontiers in Graph Learning

Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn

A Simple and Scalable Representation for Graph Generation

Advances in Neural Information Processing Systems (NeurIPS), Workshop on New Frontiers in Graph Learning

Yunhui Jang, Seul Lee, Sungsoo Ahn

Hyperbolic VAE via Latent Gaussian Distributions

Advances in Neural Information Processing Systems (NeurIPS)

Seunghyuk Cho, Juyong Lee, Dongwoo Kim

Diffusion Probabilistic Models for Structured Node Classification

Advances in Neural Information Processing Systems (NeurIPS)

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences

Advances in Neural Information Processing Systems (NeurIPS)

Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park

Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion

Advances in Neural Information Processing Systems (NeurIPS)

Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Wonhwa Kim

Active Learning for Semantic Segmentation with Multi-class Label Query

Advances in Neural Information Processing Systems (NeurIPS)

Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak

Test Time Normalization for Popularity Bias Mitigation

The ACM Conference on Information and Knowledge Management (CIKM)

Dain Kim*, Jinhyeok Park*, Dongwoo Kim

Adaptive Superpixel for Active Learning in Semantic Segmentation

International Conference on Computer Vision (ICCV)

Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok

Robust Evaluation of Diffusion-Based Adversarial Purification

International Conference on Computer Vision (ICCV)

Minjong Lee, Dongwoo Kim

Symmetric Exploration in Combinatorial Optimization is Free!

International Conference on Machine Learning, Workshop on Sampling and Optimization in Discrete Space

Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

Removing Multiple Biases through the Lens of Multi-task Learning

International Conference on Machine Learning, Workshop on Spurious Correlations, Invariance and Stability

Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost

International Conference on Machine Learning, Workshop on Data-centric Machine Learning Research

Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences

International Conference on Machine Learning, Workshop on Structured Probabilistic Inference and Generative Modeling

Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park

Hierarchical Graph Generation with K2 Trees

International Conference on Machine Learning, Workshop on Structured Probabilistic Inference and Generative Modeling

Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

Diffusion Probabilistic Models for Structured Node Classification

International Conference on Machine Learning, Workshop on Structured Probabilistic Inference and Generative Modeling

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

A Closer Look at the Intervention Procedure of Concept Bottleneck Models

International Conference on Machine Learning (ICML)

Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

Local Vertex Colouring Graph Neural Network

International Conference on Machine Learning (ICML)

Shouheng Li, Dongwoo Kim, Qing Wang

Leveraging Proxy of Training Data for Test-Time Adaptation

International Conference on Machine Learning (ICML)

Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak

Contrastive Learning of Molecular Representation with Fragmented Views

International Conference on Learning Representations, Machine Learning for Materials Workshop

Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

Activity-informed Industrial Audio Anomaly Detection via Source Separation

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Jaechang Kim*, Yunjoo Lee*, Hyun Mi Cho, Dong Woo Kim, Chi Hoon Song, Jungseul Ok

Imitating Graph-Based Planning with Goal-Conditioned Policies

International Conference on Learning Representations (ICLR)

Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin

SpReME: Sparse Regression for Multi-Environment Dynamic Systems

AAAI Conference on Artificial Intelligence, Workshop on When Machine Learning meets Dynamical Systems: Theory and Applications (MLmDS)

Moonjeong Park*, Youngbin Choi*, Dongwoo Kim

Restructuring Graph for Higher Homophily via Learnable Spectral Clustering

AAAI Conference on Artificial Intelligence (AAAI)

Shouheng Li, Dongwoo Kim, Qing Wang

Anonymization for Skeleton Action Recognition

AAAI Conference on Artificial Intelligence (AAAI)

Saemi Moon*, Myeonghyeon Kim*, Zhenyue Qin, Yang Liu, Dongwoo Kim

Machine learning algorithms using systemic inflammatory markers for predicting the oncological outcomes of colorectal cancer after surgery

Annals of Surgical Oncology

Songsoo Yang*, Hyosoon Jang*, Inkyu Park*, Sunhye Lee, Gaeul Oh, Park Chihyun, Jeonghyun Kang

Anonymization for Skeleton Action Recognition

Advances in Neural Information Processing Systems, Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML)

Saemi Moon*, Myeonghyeon Kim*, Zhenyue Qin, Yang Liu, Dongwoo Kim

Substructure-Atom Cross Attention for Molecular Representation Learning

Advances in Neural Information Processing Systems, Workshop on AI for Science

Jiye Kim*, Seungbeom Lee*, Dongwoo Kim, Sungsoo Ahn, Jaesik Park

A Closer Look at the Intervention Procedure of Concept Bottleneck Models

Advances in Neural Information Processing Systems, Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML)

Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, R. I. McKay, Saeed Anwar, Tom Gedeon

Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning

Advances in Neural Information Processing Systems (NeurIPS)

Byungchan Ko, Jungseul Ok

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning

Advances in Neural Information Processing Systems (NeurIPS)

Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim

Learning Debiased Classifier with Biased Committee

Advances in Neural Information Processing Systems (NeurIPS)

Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

Towards Sequence-Level Training for Visual Tracking

European Conference on Computer Vision (ECCV)

Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho

Combating Label Distribution Shift for Active Domain Adaptation

European Conference on Computer Vision (ECCV)

Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns

European Conference on Computer Vision, Workshop on Real-World Surveillance (RWS)

Zhenyue Qin, Pan Ji, Dongwoo Kim, Yang Liu, Saeed Anwar, Tom Gedeon

Learning Debiased Classifier with Biased Committee

International Conference on Machine Learning, Workshop on Spurious Correlations, Invariance, and Stability

Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning

International Conference on Machine Learning (ICML)

Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin

MetaSSD: Meta-Learned Self-Supervised Detection

IEEE International Symposium on Information Theory (ISIT)

Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim

Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Jaechang Kim*, Yunjoo Lee*, Seunghoon Hong, Jungseul Ok

Spanning Tree-based Graph Generation for Molecules

International Conference on Learning Representations (ICLR)

Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song

What Makes Better Augmentation Strategies? Augment Difficult but Not too Different

International Conference on Learning Representations (ICLR)

Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin

Robust Deep Learning from Crowds with Belief Propagation

International Conference on Artificial Intelligence and Statistics (AISTATS)

Hoyoung Kim*, Seunghyuk Cho*, Dongwoo Kim, Jungseul Ok

Multi-armed Bandit Algorithm against Strategic Replication

International Conference on Artificial Intelligence and Statistics (AISTATS)

Suho Shin, Seungjoon Lee, Jungseul Ok

Power of Bonus in Pricing for Crowdsourcing

ACM SIGMETRICS

Suho Shin, Hoyong Choi, Yung Yi, Jungseul Ok

Self-Improved Retrosynthetic Planning

International Conference on Machine Learning (ICML)

Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning

International Joint Conference on Artificial Intelligence (IJCAI)

Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung-Ju Hwang, Eunho Yang, Jinwoo Shin

Visual Abstract Reasoning via Logic-guided Generation

ICML Workshop on Self-Supervised Learning for Reasoning and Perception

Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin, Yung Yi

RoMA: Robust Model Adaptation for Offline Model-based Optimization

Advances in Neural Information Processing Systems (NeurIPS)

Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin

Layer-adaptive Sparsity for the Magnitude-based Pruning

International Conference on Learning Representations (ICLR)

Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

Gradient Inversion with Generative Image Prior

Advances in Neural Information Processing Systems (NeurIPS)

Jinwoo Jeon*, Jaechang Kim*, Kangwook Lee, Sewoong Oh, Jungseul Ok

Gradient Inversion with Generative Image Prior

International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21)

Jinwoo Jeon*, Jaechang Kim*, Kangwook Lee, Sewoong Oh, Jungseul Ok

Informative Class Activation Maps

2021 International Conference on Machine Learning XAI-Workshop (ICML-XAI)

Zhenyue Qin, Dongwoo Kim, Gedeon Tom

Neural Network Classifier as Mutual Information Evaluator

2021 International Conference on Machine Learning XAI-Workshop (ICML-XAI)

Zhenyue Qin, Dongwoo Kim, Gedeon Tom

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Sean Li, Dongwoo Kim, Qing Wang

Transfer Learning in Bandits with Latent Continuity

IEEE International Symposium on Information Theory (ISIT)

Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok

Invertible Denoising Network: A Light Solution for Real Noise Removal

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina Caldwell, Tom Gedeon

Learning What to Defer for Maximum Independent Sets

International Conference on Machine Learning (ICML)

Sungsoo Ahn, Younggyo Seo, Jinwoo Shin

QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2006.12010

Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi

Learning from Failure: De-biasing Classifier from Biased Classifier

Advances in Neural Information Processing Systems (NeurIPS)

Junhyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin

Guiding Deep Molecular Optimization with Genetic Exploration

Advances in Neural Information Processing Systems (NeurIPS)

Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning

Neural Information Processing Systems, Workshop on Machine Learning for Molecules

Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung-Ju Hwang, Eunho Yang, Jinwoo Shin

Iterative Learning of Graph Connectivity from Partially-Observed Cascade Samples

Proceedings of ACM MobiHoc

Jiin Woo, Jungseul Ok, Yung Yi

Variational information distillation for knowledge transfer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D Lawrence, Zhenwen Dai

Gauging variational inference

Journal of Statistical Mechanics: Theory and Experiment

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin

Bucket renormalization for approximate inference

Journal of Statistical Mechanics: Theory and Experiment

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin

Iterative Bayesian Learning for Crowdsourced Regression

International Conference on Artificial Intelligence and Statistics (AISTATS)

Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi

Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation

IEEE Transactions on Mobile Computing

Richard Combes, Jungseul Ok, Alexandre Proutiere, Donggyu Yun, Yung Yi

Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter

Journal of Computational Social Science

Dongwoo Kim, Timothy Graham, Zimin Wan, Marian-Andrei Rizoiu

Visualizing Graph Differences from Social Media Streams

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

Minjeong Shin, Dongwoo Kim, Jae Hee Lee, Umanga Bista, Lexing Xie

Bucket renormalization for approximate inference

International Conference on Machine Learning (ICML)

Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin

Gauged Mini-Bucket Elimination for Approximate Inference

International Conference on Artificial Intelligence and Statistics (AISTATS)

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller

Variational mutual information distillation for transfer learning

Neural Information Processing Systems, Workshop on Continual Learning

Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D Lawrence, Zhenwen Dai

Optimal inference in crowdsourced classification via belief propagation

IEEE Transactions on Information Theory

Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi

On the Posted Pricing in Crowdsourcing: Power of Bonus

arXiv preprint arXiv:1804.03178

Suho Shin, Jungseul Ok, Hoyong Choi, Yung Yi

Exploration in structured reinforcement learning

Advances in Neural Information Processing Systems (NeurIPS)

Jungseul Ok, Alexandre Proutiere, Damianos Tranos

Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications.

International Joint Conference on Artificial Intelligence (IJCAI)

Weiran Huang, Jungseul Ok, Liang Li, Wei Chen

Neural Dynamic Programming for Musical Self Similarity

Proceedings of the 35th International Conference on Machine Learning

Christian Walder, Dongwoo Kim

Self-Bounded Prediction Suffix Tree via Approximate String Matching

Proceedings of the 35th International Conference on Machine Learning

Dongwoo Kim, Christian Walder

Gauging variational inference

Advances in Neural Information Processing Systems (NeurIPS)

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin

Maximum weight matching using odd-sized cycles: Max-product belief propagation and half-integrality

IEEE Transactions on Information Theory

Sungsoo Ahn, Michael Chertkov, Andrew E Gelfand, Sejun Park, Jinwoo Shin

Iterative Bayesian Learning for Crowdsourced Regression

arXiv preprint arXiv:1702.08840

Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi

Incentivizing strategic users for social diffusion: Quantity or quality?

IEEE Conference on Computer Communications

Jungseul Ok, Jinwoo Shin, Yung Yi

Collaborative clustering: Sample complexity and efficient algorithms

International Conference on Algorithmic Learning Theory

Jungseul Ok, Se-Young Yun, Alexandre Proutiere, Rami Mochaourab

Hierarchical Dirichlet scaling process

Machine Learning

Dongwoo Kim, Alice Oh

Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora

Transactions of the Association for Computational Linguistics

Jooyeon Kim, Dongwoo Kim, Alice Oh

Leveraging Side Information to Improve Crowd-sourcing

The fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP)

Yuan Jin, Mark Carman, Dongwoo Kim, Lexing Xie

PathRec: Visual Analysis of Travel Route Recommendations

The ACM Conference on Recommender Systems (RecSys)

Dawei Chen, Dongwoo Kim, Lexing Xie, Minjeong Shin, Aditya Menon, Cheng Soon Ong, Iman Avazpour, John Grundy

Computer Assisted Composition with Recurrent Neural Networks

Proceedings of the Ninth Asian Conference on Machine Learning

Christian Walder, Dongwoo Kim

Synthesis of MCMC and belief propagation

Advances in Neural Information Processing Systems (NeurIPS)

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin

Optimality of belief propagation for crowdsourced classification

International Conference on Machine Learning (ICML)

Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi

On maximizing diffusion speed over social networks with strategic users

IEEE/ACM Transactions on Networking

Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi

Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches

The ACM Conference on Information and Knowledge Management (CIKM)

Dongwoo Kim, Lexing Xie, Cheng Soon Ong

Hierarchical learning of grids of microtopics

The Conference on Uncertainty in Artificial Intelligence (UAI)

Nebojsa Jojic, Alessandro Perina, Dongwoo Kim

Minimum weight perfect matching via blossom belief propagation

Advances in Neural Information Processing Systems (NeurIPS)

Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin

On the progressive spread over strategic diffusion: Asymptotic and computation

IEEE Conference on Computer Communications

Jungseul Ok, Jinwoo Shin, Yung Yi

Vertical resolution loss and perceptual 3D video quality

International Conference on Information, Intelligence, Systems and Applications

Chulhee Lee, Jiheon Ok, S Woo, J Baek

Optimal rate sampling in 802.11 systems

IEEE Conference on Computer Communications

Richard Combes, Alexandre Proutiere, Donggyu Yun, Jungseul Ok, Yung Yi

Influence maximization over strategic diffusion in social networks

Annual Conference on Information Sciences and Systems

Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, Yung Yi

On maximizing diffusion speed in social networks: impact of random seeding and clustering

ACM SIGMETRICS Performance Evaluation Review

Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi

Hierarchical Dirichlet Scaling Process

International Conference on Machine Learning (ICML)

Dongwoo Kim, Alice Oh

Diversity-seeking users and their influence on social news sites

Workshop on Data Science for News Publishing (NewsKDD) at KDD 2014

Jooyeon Kim, Joon Hee Kim, Dongwoo Kim, Alice Oh

Skim-reading thousands of documents in one minute: Data indexing and visualization for multifarious search

Workshop on Interactive Data Exploration and Analytics (IDEA'14) at KDD 2014

Alessandro Perina, Dongwoo Kim, Andrzej Turski, Nebojssa Jojic

On the impact of global information on diffusion of innovations over social networks

IEEE Conference on Computer Communications

Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin

Embedding of virtual network requests over static wireless multihop networks

Computer Networks

Donggyu Yun, Jungseul Ok, Bongjhin Shin, Soobum Park, Yung Yi

Development and Implementation of Break Falling System for a Biped Robot

Robot Intelligence Technology and Applications 2012

Seung Je Woo, Sung G Lee, Jung Seul Ok, Jong Hwan Kim

Context-Dependent Conceptualization

International Joint Conference on Artificial Intelligence (IJCAI)

Dongwoo Kim, Haixun Wang, Alice Oh

Distributed Online Learning for Latent Dirichlet Allocation

Workshop on Big Learning : Algorithms, Systems, and Tools at the NIPS.

JinYeong Bak, Dongwoo Kim, Alice Oh

Dirichlet Process with Mixed Random Measures: a Nonparametric Topic Model for Labeled Data

Proceedings of the 29th International Conference on Machine Learning (ICML)

Dongwoo Kim, Suin Kim, Alice Oh

Modeling topic hierarchies with the recursive Chinese restaurant process

The ACM Conference on Information and Knowledge Management (CIKM)

Joon Hee Kim, Dongwoo Kim, Suin Kim, Alice Oh

Variable Selection for Latent Dirichlet Allocation

arXiv ePrints:1205.1053

Dongwoo Kim, Yeonseung Chung, Alice Oh

Accounting for Data Dependencies within a Hierarchical Dirichlet Process Mixture Model

The ACM Conference on Information and Knowledge Management (CIKM)

Dongwoo Kim, Alice Oh

Topic Chains for Understanding a News Corpus

International Conference on Intelligent Text Processing and Computational Linguistics

Dongwoo Kim, Alice Oh

Analysis of Twitter Lists as a potential source for discovering latent characteristics of users

Workshop on Microblogging at the ACM Conference on Human Factors in Computer Systems

Dongwoo Kim, Yohan Jo, Il-Chul Moon, Alice Oh

Learning Influence Propagation of Personal Blogs with Content and Network Analyses

2010 IEEE Second International Conference on Social Computing (SocialCom)

Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice Oh