Research
Publications
218 papers across conferences, journals, and workshops.
International Conference Proceedings
117 papers-
CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution
Minbeom Kim, Mihir Parmar, Phillip Wallis, Lesly Miculicich, Kyomin Jung, Krishnamurthy Dj Dvijotham, Long T. Le, and Tomas PfisterICML 2026 July 2026 Seoul, South Korea -
Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR
Dohyung Kim, Minbeom Kim, Jeonghye Kim, Sangmook Lee, Sojeong Rhee, and Kyomin JungICML 2026 July 2026 Seoul, South Korea -
PEARL: Differentially Private and Entropy-Aware Regulated Language Generation
Seongho Joo, Hyukhun Koh, and Kyomin JungICML 2026 July 2026 Seoul, South Korea -
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
Minsung Kim, Dong-Kyum Kim, Jea Kwon, Nakyeong Yang, Kyomin Jung, and Meeyoung ChaThe 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) July 2026 San Diego, USA -
Fine-grained Story Visualization Evaluation via Diversified Storylines
Minha Jhang, Kyeongman Park, Hyukhun Koh, and Kyomin JungThe 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) July 2026 San Diego, USA -
Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning
Junseok Kim, Nakyeong Yang, Kyungmin Min, and Kyomin JungFindings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) July 2026 San Diego, USA -
Rethinking Post-Unlearning Behavior of Large Vision-Language Models
Minsung Kim, Nakyeong Yang, and Kyomin JungFindings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) July 2026 San Diego, USA -
A Universal Avoidance Method for Diverse Multi-branch Generation
Kyeongman Park, Minha Jhang, and Kyomin JungFindings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) July 2026 San Diego, USA -
Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
Nakyeong Yang, Dong-Kyum Kim, Jea Kwon, Minsung Kim, Kyomin Jung, and Meeyoung ChaThe Fourteenth International Conference on Learning Representations (ICLR 2026) April 2027 Rio de Janeiro, Brazil -
Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, and Kyomin JungFindings of The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026) March 2026 Rabat, Morocco -
Persona Switch: Mixing Distinct Perspectives in Decoding Time
Junseok Kim, Nakyeong Yang, and Kyomin JungFindings of The 19th Conference of the European Chapter of the Association for Computational Linguistics (Findings of EACL 2026) March 2026 Rabat, Morocco -
Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning
Sangmook Lee*, Dohyung Kim*, Hyukhun Koh, Nakyeong Yang, and Kyomin JungThe 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026) January 2026 Singapore -
Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks
Junseok Kim, Nakyeong Yang, and Kyomin JungInternational Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025) December 2025 Mumbai, India -
Program Synthesis via Test-Time Transduction
Kang-il Lee, Jahyun Koo, Seunghyun Yoon, Minbeom Kim, Hyukhun Koh, Dongryeol Lee, and Kyomin JungThe Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) December 2025 San Diego, CA, USA -
Conditional [MASK] Discrete Diffusion Language Model
Hyukhun Koh*, Minha Jhang*, Dohyung Kim, Sangmook Lee, and Kyomin JungThe 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China -
Avoidance Decoding for Diverse Multi-Branch Story Generation
Kyeongman Park, Nakyeong Yang, and Kyomin JungThe 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China -
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
Yerin Hwang*, Dongryeol Lee*, Kyungmin Min, Taegwan Kang, Yongil Kim, and Kyomin JungThe 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China -
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, and Kyomin JungThe 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China -
Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding
Seongho Joo, Hyukhun Koh, and Kyomin JungThe 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China -
ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
Jeonghye Kim*, Sojeong Rhee*, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, and Kyomin JungThe 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) November 2025 Suzhou, China -
Public Data Assisted Differentially Private In-Context Learning
Seongho Joo, Hyukhun Koh, and Kyomin JungFindings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) November 2025 Suzhou, China -
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, and Kyomin JungFindings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) November 2025 Suzhou, China -
Drift: Decoding-time Personalized Alignments with Implicit User Preferences
Minbeom Kim, Kang-il Lee, Seongho Joo, Hwaran Lee, Thibaut Thonet, and Kyomin JungFindings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) November 2025 Suzhou, China -
Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time
Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, and Kyomin JungThe 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) November 2025 Seoul, Korea -
MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers
Kyeongman Park, Seongho Joo, and Kyomin Jung26th edition of the Interspeech Conference (InterSpeech 2025) August 2025 Rotterdam, The Netherlands -
LLMs can be easily Confused by Instructional Distractions
Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, and Kyomin JungThe 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) July 2025 Vienna, Austria -
A Character-Centric Creative Story Generation via Imagination
Kyeongman Park, Minbeom Kim, and Kyomin JungThe 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) July 2025 Vienna, Austria -
Guaranteed Generation from Large Language Models
Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, and Marc DymetmanThe Thirteenth International Conference on Learning Representations (ICLR 2025) April 2025 Singapore, Singapore -
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
Dongryeol Lee*, Yerin Hwang*, Yongil Kim, Joonsuk Park, and Kyomin Jung2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Oral April 2025 New Mexico, USA -
Generating Diverse Hypotheses for Inductive Reasoning
Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, and Kyomin Jung2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Oral April 2025 New Mexico, USA -
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, and Kyomin Jung2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) April 2025 New Mexico, USA -
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models
Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, and Kyomin JungFindings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL) April 2025 New Mexico, USA -
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
Kang-il Lee, Minbeom Kim, Seunghyun Yoon, Minsung Kim, Dongryeol Lee, Hyukhun Koh, and Kyomin JungFindings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL) April 2025 New Mexico, USA -
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, and Kyomin JungFindings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL) April 2025 New Mexico, USA -
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation
Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, and Kyomin Jung -
Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric
Hyukhun Koh, Dohyung Kim, Minwoo Lee, and Kyomin JungFindings of the The 2024 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP) November 2024 Miami, USA -
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, and Kyomin JungThe 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) November 2024 Miami, USA -
MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors
Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, and Kyomin Jung33rd ACM International Conference on Information and Knowledge Management (CIKM) Oral October 2024 Boise, USA -
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
Nakyeong Yang, Taegwan Kang, Jungkyu Choi, Honglak Lee, and Kyomin JungThe 62nd Annual Meeting of the Association for Computational Linguistics (ACL) August 2024 Bangkok, Thailand -
LifeTox: Unveiling Implicit Toxicity in Life Advice
Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park, Hwaran Lee, and Kyomin Jung2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Oral June 2024 Mexico city, Mexico -
Fine-grained Gender Control in Machine Translation with Large Language Models
Minwoo Lee, Hyukhun Koh, Minsung Kim, and Kyomin Jung2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) June 2024 Mexico city, Mexico -
IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
Yunah Jang, Kang-il Lee, Hyunkyung Bae, Hwanhee Lee, and Kyomin Jung2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) June 2024 Mexico city, Mexico -
Kosmic: Korean Text Similarity Metric Reflecting Honorific Distinctions
Yerin Hwang, Yongil Kim, Hyunkyung Bae, Jeesoo Bang, Hwanhee Lee, and Kyomin JungThe 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING) May 2024 Italy -
LongStory: Coherent, Complete and Length Controlled Long story Generation
Kyeongman Park, Nakyeong Yang, and Kyomin JungPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Oral May 2024 Taipei, Taiwan -
Boosting Speech Enhancement with Clean Self-Supervised Features via Conditional Variational Autoencoders
Yoonhyung Lee, and Kyomin JungIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) April 2024 Korea -
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
Seongho Joo, Hyukhun Koh, and Kyomin JungThe 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP) December 2023 Singapore, Singapore -
Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering
Kang-il Lee, Segwang Kim, and Kyomin JungThe 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP) December 2023 Singapore, Singapore -
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, and Kyomin JungThe 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP) December 2023 Singapore, Singapore -
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources
Yerin Hwang*, Yongil Kim*, Hyunkyung Bae, Hwanhee Lee, Jeesoo Bang, and Kyomin JungThe 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP) December 2023 Singapore, Singapore -
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
Dongryeol Lee*, Segwang Kim*, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-woo Lee, and Kyomin Jung -
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning
Yongil Kim, Yerin Hwang, Hyeongu Yun, Seunghyun Yoon, Trung Bui, and Kyomin JungFindings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP) December 2023 Singapore, Singapore -
BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking
Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han, and Kyomin Jung60th Annual Meeting of the Association for Computational Linguistics: ACL 2023 (ACL) July 2023 Toronto, Canada -
Critic-Guided Decoding for Controlled Text Generation
Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, and Kyomin JungFindings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL) July 2023 Toronto, Canada -
Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation
Yongil Kim*, Yerin Hwang*, Joongbo Shin, Hyunkyung Bae, and Kyomin JungFindings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL) July 2023 Toronto, Canada -
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning
Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jeong, and Kyomin JungFindings of the Association for Computational Linguistics: EACL 2023 (Findings of EACL) May 2023 Dubrovnik, Croatia -
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking
Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, and Kyomin Jung -
Modality Alignment between Deep Representations for Effective Video-and-Language Learning
Hyeongu Yun*, Yongil Kim*, and Kyomin JungInternational Conference on Language Resources and Evaluation (LREC) June 2022 Marseille, France -
VarianceFlow: High-quality and Controllable Text-to-Speech Using Variance Information via Normalizing Flow
Yoonhyung Lee, Jinhyeok Yang, and Kyomin JungIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) May 2022 Singapore -
Deriving Explainable Discriminative Attributes using Confusion about Counterfactual Class
Nakyeong Yang, Taegwan Kang, and Kyomin JungIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Oral May 2022 Singapore -
Subgraph Representation Learning With Hard Negative Samples for Inductive Link Prediction
Heeyoung Kwak, Hyunkyung Bae, and Kyomin JungIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) May 2022 Singapore -
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information
Yongkeun Hwang, Hyeongu Yun, and Kyomin JungSixth Conference on Machine Translation (WMT) November 2021 Punta Cana, Dominican Republic -
QACE: Asking Questions to Evaluate an Image Caption
Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, and Kyomin Jung -
RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction
Taegwan Kang, Minwoo Lee, Nakyeong Yang, and Kyomin Jung30th ACM International Conference on Information and Knowledge Management (CIKM) November 2021 Virtual Conference -
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheoneum Park, and Kyomin Jung30th ACM International Conference on Information and Knowledge Management (CIKM) November 2021 Virtual Conference -
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, and Kyomin Jung -
Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation
Taegwan Kang, Hwanhee Lee, Byeongjin Choe, and Kyomin JungInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) July 2021 Virtual Conference -
KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, and Kyomin Jung -
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech
Yoonhyung Lee, Joongbo Shin, and Kyomin JungInternational Conference on Learning Representations (ICLR) April 2021 Virtual Conference -
Neural Sequence-to-grid Module for Learning Symbolic Rules
Segwang Kim, Hyoungwook Nam, Joonyoung Kim, and Kyomin Jung -
Air Quality Prediction with 1-Dimensional Convolution and Attention on Multi-modal Features
Joonyoung Choi, Joonyoung Kim, and Kyomin JungIEEE International Conference on Big Data and Smart Computing (BigComp) February 2021 Jeju Island, Korea -
Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text
Yoonhyung Lee, Seunghyun Yoon, and Kyomin JungInterspeech October 2020 Shanghai, China -
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, and Kyomin JungAnnual Meeting of the Association for Computational Linguistics (ACL) July 2020 Seattle, WA, USA code -
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin JungInternational Conference on Language Resources and Evaluation (LREC) May 2020 Marseille, France -
STAR: Spatio-Temporal Prediction of Air Quality Using A Multimodal Approach
Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, JunYoung Choi, Insoon Yang, Kyomin Jung, and Sang Kyun ChaIntelligent Systems Conference (IntelliSys) September 2020 Amsterdam, Netherlands -
Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing
Joonyoung Kim, Donghyeon Lee, and Kyomin JungPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) May 2020 Singapore -
Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sangmin Park, and Kyomin JungPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) May 2020 Singapore -
Attentive Modality Hopping Mechanism for Speech Emotion Recognition
Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, and Kyomin JungIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Oral May 2020 Barcelona, Spain -
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding
Hyeongu Yun*, Yongkeun Hwang*, and Kyomin JungAAAI Conference on Artificial Intelligence (AAAI) January 2020 New York City, New York, USA -
Effective Sentence Scoring Method Using BERT for Speech Recognition
Joongbo Shin, Yoonhyung Lee, and Kyomin JungAsian Conference on Machine Learning (ACML) November 2019 Nagoya, Japan -
A Compare-Aggregate Model with Latent Clustering for Answer Selection
Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin JungACM International Conference on Information and Knowledge Management (CIKM) Oral November 2019 Beijing, China -
Speech Emotion Recognition Using Multi-Hop Attention Mechanism
Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey, and Kyomin JungIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Oral May 2019 Brighton, UK -
Neural networks for compressing and classifying speaker-independent paralinguistic signals
Seokhyun Byun, Seunghyun Yoon, and Kyomin JungIEEE International Conference on Big Data and Smart Computing (BigComp) February 2019 Kyoto, Japan -
Improving Neural Question Generation using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin, and Kyomin JungAAAI Conference on Artificial Intelligence (AAAI) January 2019 Honolulu, Hawaii, USA -
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder
Seunghyun Yoon*, Kunwoo Park*, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, and Kyomin JungAAAI Conference on Artificial Intelligence (AAAI) Oral January 2019 Honolulu, Hawaii, USA -
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
Hyoungwook Nam, Segwang Kim, and Kyomin Jung -
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering
Seunghyun Yoon, Joongbo Shin, and Kyomin JungAnnual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) June 2018 New Orleans, LA, USA -
Multi-scale Nystrom Method
Woosang Lim, Bo Dai, Rundong Du, Kyomin Jung, Le Song, and Haesun ParkInternational Conference on Artificial Intelligence and Statistics(AISTATS) Oral April 2018 -
Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification
Joongbo Shin, Yanghoon Kim, Seunghyun Yoon, and Kyomin JungIEEE International Conference on Big Data and Smart Computing(BigComp) January 2018 Shanghai, China -
Synonym Discovery with Etymology-based Word Embeddings
Seunghyun Yoon, Pablo Estrada, and Kyomin JungIEEE Syposium Series on Computational Intelligence (SSCI) November 2017 Hawaii, USA -
Automatic Question Answering System for Consumer Products
Seunghyun Yoon, Mohan Sundar, Abhishek gupta, and Kyomin Jungthe SAI Intelligent Systems Conference (IntelliSys) September 2016 London, UK -
Knowledge extraction through etymological networks: Synonym discovery in sino-korean words
Pablo Estrada, and Kyomin Jungthe 5th International conference on Information and Knowledge Management (ICIKM) July 2016 Beijing, China -
Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts
Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, and Pushmeet KohliConference on Uncertainty in Artificial Intelligence (UAI) July 2015 Amsterdam, Netherlands -
Double Nystrom Method: An Efficient and Accurate Nystrom Scheme for Large-Scale Data Sets
Woosang Lim, Minhwan Kim, Haesun Park, and Kyomin JungInternational Conference on Machine Learning (ICML) July 2015 Lille, France -
Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems
Donghyeon Lee, Joonyoung Kim, Hyunmin Lee, and Kyomin JungACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) June 2015 Portland, OR, USA -
LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation
Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil LeeIEEE International Conference on Data Engineering (ICDE) April 2014 Chicago, IL, USA -
Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications
Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu LimInternational Conference on Signal Image Technology and Internet Based Systems (SITIS) December 2013 Kyoto, Japan -
Prominent Features of Rumor Propagation in Online Social Media
Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun WangIEEE International Conference on Data Mining (ICDM) December 2013 Dallas, TX, USA -
Aspects of Rumor Spreading on a Microblog Network
Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun WangThe 5th International Conference on Social Informatics (SocInfo) November 2013 Kyoto, Japan -
Decentralized Control for Intelligent Robot System to Avoid Moving Obstacles
Yongsub Lim, and Kyomin JungInternational Conference on Intelligent Systems, Modeling and Simulation (ISMS) January 2013 Thailand -
IRIE: Scalable and Robust Influence Maximization in Social Networks
Kyomin Jung, Wooram Heo, and Wei Chen -
Distributed Ranking in Networks with Limited Memory and Communication
Kyomin Jung, Bo Young Kim, and Milan VojnovicIEEE International Symposium on Information Theory (ISIT) July 2012 Cambridge, MA, USA -
Stability of the Max-Weight Protocol in Adversarial Wireless Networks
Sungsu Lim, Kyomin Jung, and Matthew AndrewsIEEE International Conference on Computer Communications (INFOCOM) March 2012 Orlando, FL, USA -
Energy Minimization Under Constraints on Label Counts
Yongsub Lim, Kyomin Jung, and Pushmeet KohliEuropean Conference on Computer Vision (ECCV) September 2010 Crete, Greece -
Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners
Arnab Bhattacharyya, Elena Grigorescu, Madhav Jha, Kyomin Jung, Sofya Raskhodnikova, and David WoodruffInternational Workshop on Randomization and Computation (RANDOM) September 2010 Barcelona, Spain -
Scene Text Extraction with Edge Constraint and Text Collinearity
SeongHun Lee, Min Su Cho, Kyomin Jung, and Jin Hyung KimInternational Conference on Pattern Recognition (ICPR) August 2010 Istanbul, Turkey -
Coalitional Structure Generation in Skill Games
Yoram Bachrach, Reshef Meir, Kyomin Jung, and Pushmeet KohliProceedings AAAI-10 July 2010 Atlanta, USA -
Local Rules for Global MAP: When Do They Work ?
Kyomin Jung, Pushmeet Kohli, and Devavrat ShahAnnual Conference on Neural Information Processing Systems (NIPS) December 2009 Vancouver, Canada -
Transitive-Closure Spanners of the Hypercube and the Hypergrid
Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David WoodruffElectronic Colloquium on Computational Complexity (ECCC), TR09-046 May 2009 -
Computing the Capacity Region of a Wireless Network
Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, and Ramavarapu SreenivasIEEE International Conference on Computer Communications (INFOCOM) April 2009 Rio De Janeiro, Brazil -
Transitive-Closure Spanners
Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David WoodruffACM-SIAM Symposium on Discrete Algorithms (SODA) January 2009 New York, NY, USA -
Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo-Boolean Functions
Sung-soon Choi, Kyomin Jung, and Jeong Han KimThe Annual Conference on Learning Theory (COLT) July 2008 Helsinki, Finland -
Revisiting Stochastic Loss Networks: Structures and Algorithms
Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, and Mark S. SquillanteACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) June 2008 Annapolis, ML, USA -
Feasible Rate Allocation in Wireless Networks
Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, and Ramavarapu SreenivasIEEE International Conference on Computer Communications (INFOCOM) April 2008 Phoenix AZ, USA -
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
Kyomin Jung, and Devavrat ShahAnnual Conference on Neural Information Processing Systems (NIPS) December 2007 Vancouver, Canada -
Low Delay Scheduling in Wireless Network
Kyomin Jung, and Devavrat ShahIEEE International Symposium on Information Theory (ISIT) June 2007 Nice, France. Full Version -
Stability of the Max-Weight Routing and Scheduling Protocol in Dynamic Networks and at Critical Loads
Matthew Andrews, Kyomin Jung, and Alexander StolyarACM Symposium on Theory of Computing (STOC) June 2007 San Diego, USA -
Phase Transition in a Random NK Landscape Model
Sung-Soon Choi, Kyomin Jung, and Jeong Han KimACM Genetic and Evolutionary Computation Conference (GECCO) June 2005 Washington DC, USA
Journal Publications
37 papers-
Leveraging VQ-VAE Tokenization for Autoregressive Modeling of Medical Time Series
(SCIE) Yoonhyung Lee, Younhyung Chae, and Kyomin JungAI in Medicine August 2024 -
adaStride: Using Time Adaptive Strides in Audio Data for Effective Downsampling
(SCIE) Yoonhyung Lee, and Kyomin JungComputer Speech and Langauge January 2025 -
Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques
(SCIE) Siun Kim, Taegwan Kang, Tae Kyu Chung, Yoona Choi, YeSol Hong, Kyomin Jung, and Howard LeeDrug Safety June 2023 -
Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction
(SCIE) Taegwan Kang, Segwang Kim, Hyeongu Yun, Hwanhee Lee, and Kyomin JungIEEE Access December 2022 -
Action-Driven Contrastive Representation for Reinforcement Learning
(SCIE) Minbeom Kim, Kyeongha Rho, Yong-duk Kim, and Kyomin JungPLOS ONE March 2022 -
Interpretable Disease Prediction Using Heterogeneous Patient Records with Self-Attentive Fusion Encoder
(SCI) Heeyoung Kwak, Jooyoung Chang, Byeongjin Choe, Sangmin Park, and Kyomin JungJournal of the American Medical Informatics Association July 2021 -
Context-aware Neural Machine Translation for Korean Honorific Expressions
(SCIE) Yongkeun Hwang, Yanghoon Kim, and Kyomin JungMDPI Electronics June 2021 -
Recommendation System with Hierarchical Recurrent Neural Network for Long-term Time Series
(SCIE) Byeongjin Choe, Taegwan Kang, and Kyomin JungIEEE Access May 2021 -
Partition-Merge: Distributed Inference and Modularity Optimization
(SCIE) Vincent Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah, and Seungpil WonIEEE Access March 2021 -
Pairwise Context Similarity for Image Retrieval System using Variational Auto-Encoder
(SCIE) Hyeongu Yun, Yongil Kim, Taegwan Kang, and Kyomin JungIEEE Access February 2021 -
Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network
(SCIE) Seunghyun Yoon, Kunwoo Park, Minwoo Lee, Taegyun Kim, Meeyoung Cha, and Kyomin JungIEEE Access February 2021 -
Analyzing and Controlling Inter-Head Diversity in Multi-Head Attention
(SCIE) Hyeongu Yun, Taegwan Kang, and Kyomin JungMDPI Applied Sciences February 2021 -
Compositional Generalization via Parsing Tree Annotation
(SCIE) Segwang Kim, Joonyoung Kim, and Kyomin Jung -
Homeostasis-Inspired Continual Learning: Learning to Control Structural Regularization
(SCIE) Joonyoung Kim, Hyowoon Seo, Wan Choi, and Kyomin JungIEEE Access January 2021 -
Improving Object Detection Quality by Incorporating Global Contexts via Self-Attention
(SCIE) Donghyeon Lee, Joonyoung Kim, and Kyomin JungMDPI Electronics January 2021 -
Iterative Learning for K-Approval Votes in Crowdsourcing Systems
(SCIE) Joonyoung Kim, Donghyeon Lee, and Kyomin JungMDPI Electronics January 2021 -
Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation
(SCIE) Yanghoon Kim, Seungpil Won, Seunghyun Yoon, and Kyomin JungIEEE Access December 2020 -
Comparative Studies on Machine Learning for Paralinguistic Signal Compression and Classification
(SCI) Seokhyun Byun*, Seunghyun Yoon*, and Kyomin JungJournal of Supercomputing June 2020 -
Efficient spread-size approximation of opinion spreading in general social networks
(SCI) Byeongjin Choe, Yishi Lin, Sungsu Lim, John C. S. Lui, and Kyomin JungPhysical Review E November 2019 -
Revisiting Stochastic Loss Networks: Structures and Approximations
(SCIE) Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, and Mark S SquillanteMathematics of Operations Research May 2019 -
Mobile App Recommendation with Sequential App Usage Behavior Tracking
(SCIE) Yongkeun Hwang, Donghyeon Lee, and Kyomin JungJournal of Internet Technology (JIT) May 2019 -
Centrality Fairness: Measuring and Analyzing Structural Inequality of Online Social Network
(SCIE) Heeyoung Kwak, Joonyoung Kim, Yongsub Lim, Shin-Kap Han, and Kyomin JungJournal of Internet Technology (JIT) December 2017 -
Hierarchical Ordering with Partial Pairwise Hierarchical Relationships on the Macaque Brain Data Sets
(SCIE) Woosang Lim, Jungsoo Lee, Yongsub Lim, Doo-Hwan Bae, Haesun Park, Dae-Shik Kim, and Kyomin JungPLOS ONE May 2017 -
Rumor Detection over Varying Time Windows
(SCIE) Sejeong Kwon, Meeyoung Cha, and Kyomin JungPLOS ONE January 2017 -
Phase transitions for information diffusion in random clustered networks
(SCI) Sungsu Lim, Joongbo Shin, Namju Kwak, and Kyomin JungEuropean Physical Journal B September 2016 -
Analysis of Information Diffusion for Threshold Models on Arbitary Networks
(SCI) Sungsu Lim, Inwoo Jung, Seulki Lee, and Kyomin JungEuropean Physical Journal B June 2015 -
Modelling Multi-state Diffusion Process in Complex Networks: Theory and Applications
(SCIE) Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu LimJournal of Complex Networks July 2014 -
Stability of the Max-Weight Protocol in Adversarial Wireless Networks
(SCI) Sungsu Lim, Kyomin Jung, and Matthew AndrewsIEEE Transactions on Networking, v.22, n.6 December 2014 -
Efficient Energy Minimization for Enforcing Label Statistics
(SCI) Yongsub Lim, Kyomin Jung, and Pushmeet KohliIEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol.36, n.9 September 2014 -
Fully Distributed Algorithms for Minimum Delay Routing Under Heavy Traffic
(SCI) Sang-Woon Jeon, Kyomin Jung, and Hyunseok ChangIEEE Transactions on Mobile Computing, v.13, n.5 May 2014 -
Transitive-Closure Spanners
(SCI) Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David WoodruffSIAM J. on Computing (SICOMP) November 2012 -
Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners
(SCI) Arnab Bhattacharyya, Elena Grigorescu, Madhav Jha, Kyomin Jung, Sofya Raskhodnikova, and David WoodruffSIAM J. on Discrete Math (SIDMA), v.26, n.2, 618-646 May 2012 -
Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo-Boolean Functions
(SCI) Sung-soon Choi, Kyomin Jung, and Jeong Han KimJournal of Computer and System Sciences (JCSS), v.77, n.6, 1039-1053 November 2011 -
Distributed Averaging Via Lifted Markov Chains
(SCI) Kyomin Jung, Devavrat Shah, and Jinwoo ShinIEEE Transactions on Information Theory, v.56, n.1, 634-647 January 2010 -
A Local Decision Test for Sparse Polynomials
(SCI) Elena Grigorescu, Kyomin Jung, and Ronitt RubinfeldInformation Processing Letters, v.110, n.20, 898-901 September 2010 -
Lower and Upper Bounds for Linkage Discovery
(SCI) Sung-soon Choi, Kyomin Jung, and Byung-Ro MoonIEEE Transactions on Evolutionary Computation, v.13, n.2, 201-216 April 2009 -
Phase Transition in a Random NK Landscape Model
(SCI) Sung-Soon Choi, Kyomin Jung, and Jeong Han KimArtificial Intelligence 172(2-3): 179-203 February 2008
Workshops
40 papers-
Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset
Hyojeong Yu*, Hyukhun Koh*, Minsung Kim, and Kyomin JungCHI Workshop on Human-Centered Evaluation and Auditing of Language Models April 2026 Barcelona, Spain -
Mitigating Hallucinations in LVLMs via Summary-Guided Decoding
Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, and Kyomin JungNeurips Workshop on Safe Generative AI December 2024 Vancouver, Canada -
Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty
Yoonsang Lee*, Dongryeol Lee*, and Kyomin JungEMNLP Workshop on Argument Mining December 2023 Singapore, Singapore -
Leveraging Ensemble Techniques and Metadata for Subjective Knowledge-grounded Conversational Systems
Seongho Joo*, Kang-il Lee*, Kyungmin Min*, Joongbo Shin, Janghoon Han, Seungpil Won, and Kyomin JungSIGDial 2023 Workshop on The Eleventh Dialog System Technology Challenge (DSTC11) September 2023 Prague, Czech Republic -
Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer
Hyukhun Koh, Haesung Pyun, Nakyeong Yang, and Kyomin JungSIGDial 2023 Workshop on The Eleventh Dialog System Technology Challenge (DSTC11) September 2023 Prague, Czech Republic -
Factual Error Correction for Abstractive Summaries Using Entity Retrieval
Hwanhee Lee, Cheoneum Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Juae Kim, and Kyomin JungEMNLP Workshop on Generation, Evaluation & Metrics (GEM) December 2022 Abu Dhabi, UAE -
Improving Cross-modal Attention via Object Detection
Yongil Kim, Yerin Hwang, Seunghyun Yoon, Hyungu Yun, and Kyomin JungNeurIPS Workshop on All Things Attention: Bridging Different Perspectives on Attention December 2022 New Orleans, LA, USA -
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pre-trained Language Model
Yunah Jang, Dongryeol Lee, Hyung Joo Park, Taegwan Kang, Hwanhee Lee, Hyunkyung Bae, and Kyomin JungACL Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc) May 2022 Dublin, Ireland -
Learning to Select Question-Relevant Relations for Visual Question Answering
Jaewoong Lee*, Heejoon Lee*, Hwanhee Lee, and Kyomin JungNAACL Workshop on Multimodal Artificial Intelligence (MAI) June 2021 Virtual -
Relevance Similarity Scorer and Entity Guided Reranking for Knowledge Grounded Dialog System
Hyunkyung Bae, Minwoo Lee, Ahhyeon Kim, Hwanhee Lee, Cheongjae Lee, Cheoneum Park, Donghyeon Kim, and Kyomin JungAAAI Workshop on Dialog System Technology Challenge (DSTC) February 2021 Virtual -
ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin JungEMNLP Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP) November 2020 Virtual -
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin JungAAAI Workshop on Dialog System Technology Challenge (DSTC) February 2020 New York City, NY, USA -
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model
Jiin Nam, Seunghyun Yoon, and Kyomin JungACL Workshop on BioNLP August 2019 Florence, Italy -
MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis
Yoonhyung Lee, Yanghoon Kim, and Kyomin JungNAACL Workshop on Semantic Evaluation(SemEval) June 2019 Minneapolis, MN, USA -
Insensibility of Question Word Order in Visual Question Answering
Hwanhee Lee, and Kyomin JungNAACL Workshop on Shortcomings in Vision and Langauge (SiVL) June 2019 Minneapolis, MN, USA -
Multimodal Speech Emotion Recognition using Audio and Text
Seunghyun Yoon, Seokhyun Byun, and Kyomin JungIEEE Workshop on Spoken Language Technology (SLT) December 2018 Athens, Greece -
Comparative Studies of Detecting Abusive Language on Twitter
Younghun Lee, Seunghyun Yoon, and Kyomin JungEMNLP Workshop on Abusive Language Online November 2018 Brussels, Belgium -
AttnConvnet at SemEval-2018-Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification
Yanghoon Kim, Hwanhee Lee, and Kyomin JungNAACL Workshop on Semantic Evaluation(SemEval) June 2018 New Orleans, LA, USA -
Multi-scale Nystrom Method
Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, and Haesun ParkNIPS Workshop on Optimization for Machine Learning(OPT) December 2017 Long Beach CA, USA -
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network
Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, and Kyomin JungAAAI Workshop on Crowdsourcing, Deep Learning and Artificial Intelligence Agents February 2017 San Francisco CA, USA -
Computing Expected Losses in Perturbation Models using Multidimensional Parametric Min-cuts
Adrian Kim, Kyomin Jung, Daniel Tarlow, and Pushmeet KohliNIPS Workshop on on Perturbations, Optimization, and Statistics(POS) December 2014 Montreal, Canada -
Robust and Efficient Locality Sensitive Hashing for Nearest Neighbor Search in Large Data Sets
Byungkon Kang, and Kyomin JungNIPS Workshop on Big Learning (BigLearn) December 2012 Lake Tahoe, Nevada, USA -
Phase Transitions for Information Spreading in Random Clustered Networks with Arbitrary Contact Rates
Sungsu Lim, Namju Kwak, and Kyomin JungInterdisciplinary Workshop on Information and Decision in Social Networks (WIDS) November 2012 MIT, Cambridge MA, USA -
Generalized Mean-Field Approximation for Opinion Spreading in Social Networks
Sungsu Lim, and Kyomin JungInterdisciplinary Workshop on Information and Decision in Social Networks (WIDS) November 2012 MIT, Cambridge MA, USA -
IRIE: Scalable and Robust Influence Maximization in Social Networks
Kyomin Jung, Wooram Heo, and Wei ChenInterdisciplinary Workshop on Information and Decision in Social Networks (WIDS) November 2012 MIT, Cambridge MA, USA -
Hierarchical Analysis in the Human Brain Connectivity Networks
Jungsoo Lee, Yongsub Lim, Woosang Lim, Kyomin Jung, and Dae-Shik KimSociety for Neuroscience October 2012 New Orleans, USA -
Phase Transitions for Information Spreading in Random Clustered Networks with Arbitrary Contact Rates
Sungsu Lim, Namju Kwak, and Kyomin Jung2012 Workshop on Information in Networks (WIN) September 2012 New York NY, USA -
Analysis of Information Diffusion on Threshold Models in Arbitrary Social Networks
Kyomin Jung, Seulki Lee, and Sungsu Lim2012 Workshop on Information in Networks (WIN) September 2012 New York NY, USA -
IRIE: Scalable and Robust Influence Maximization in Social Networks
Kyomin Jung, Wooram Heo, and Wei Chen2012 Workshop on Information in Networks (WIN) September 2012 New York NY, USA -
Tipping Point of Information Spreading in Random Clustered Networks with Heterogeneous Contact Rates
Sungsu Lim, and Kyomin JungThe 3rd Workshop on Complex Networks (CompleNet) March 2012 Melbourne FL, USA -
IRIE: A Scalable Influence Maximization Algorithm in Social Networks
Kyomin Jung, Wooram Heo, and Wei ChenThe 3rd Workshop on Complex Networks (CompleNet) March 2012 Melbourne FL, USA -
Analysis of Tipping Points for Threshold Models on Arbitrary Networks
Hyuna Kim, Seulki Lee, and Kyomin JungThe 3rd Workshop on Complex Networks (CompleNet) March 2012 Melbourne FL, USA -
Constrained Discrete Optimization via Dual Space Search
Yongsub Lim, Kyomin Jung, and Pushmeet KohliNIPS Workshop on Discrete Optimization on Machine Learning (DISCML) December 2011 Granada, Spain -
Scalable Kernel k-Means via Centroid Approximation
Byungkon Kang, Woosang Lim, and Kyomin JungNIPS Workshop on Big Learning (BigLearn) December 2011 Granada, Spain -
Parsimonious Algorithms for Decentralized Ranking in Social Networks
Kyomin Jung, Boyoung Kim, and Milan VojnovicInterdisciplinary Workshop on Information and Decision in Social Networks (WIDS) May 2011 Cambridge, MA, USA -
Analysis of Tipping Points in Social Networks for Diffusion of Innovations
Seulki Lee, Hyuna Kim, and Kyomin JungInterdisciplinary Workshop on Information and Decision in Social Networks (WIDS) May 2011 Cambridge, MA, USA -
Fast and Slim Lifted Markov Chains
Kyomin Jung, Devavrat Shah, and Jinwoo ShinInvited paper to the ALLERTON Conference on Communication, Control and Computing September 2007 Monticello IL, USA -
Local Approximate Inference Algorithms
Kyomin Jung, and Devavrat ShahInvited paper to the ALLERTON Conference on Communication, Control and Computing September 2007 Monticello IL, USA -
Fast Gossip via Non-reversible Random walk
Kyomin Jung, and Devavrat ShahInvited paper to the IEEE Information Theory Workshop (ITW) March 2006 Punta del Este, Uruguay -
On Computationally Bounded Adversarial Capacity
Kyomin Jung, and Devavrat ShahInvited paper to the Information Theory and Application Workshop (ITA) February 2006 San Diego, USA
Domestic Conference Proceedings
24 papers-
Reference-Centric QA Evaluation Leveraging Contrastive Decoding
Dongryeol Lee, Kyungmin Min, Yerin Hwang, Joonsuk Park, and Kyomin Jung정보과학회 December 2024 -
Self-Prompt Generation for Text Classification via Masked Language Modeling Ability
Minsung Kim, and Kyomin Jung정보과학회 December 2023 -
KLIPScore: A Highly Human-Correlated Korean Image Captioning Metric
Yongil Kim, Yerin Hwang, Younhyung Chae, and Kyomin Jung정보과학회 June 2023 -
Thinking Fast and Slow in Multimodal Emotion Recognition Task
Yerin Hwang, Younhyung Chae, Yongil Kim, and Kyomin Jung정보과학회 June 2023 -
Reflecting dialogue and pretrained information into Multi Modal Emotion Recognition: Focusing on Text and Audio
Hyukhun Koh, Seongho Joo, and Kyomin Jung정보과학회 June 2023 -
Enhancing Engagement in Persona-Grounded Dialogue Systems via Fine-grained Response Generation and Ranking
Yunah Jang, Yoonhyung Lee, Sungdong Kim, Hwaran Lee, and Kyomin Jung정보과학회 June 2023 -
Improving Cross-modal Attention via Object detection
Yongil Kim, Hyeongu Yun, Yerin Hwang, and Kyomin Jung정보과학회 June 2022 -
COVID-19 Severity Prediction Using Deep Transfer Learning
Yerin Hwang, Yongil Kim, and Kyomin Jung정보과학회 June 2022 -
Emotional Text-to-Speech with Variational Autoencoder using a Multimodal Gaussian Prior
Sungho Joo, Yoonhyung Lee, and Kyomin Jung정보과학회 June 2021 -
Evidence Retrieval toward an explainable model for Document Level Relation Extraction
Hyunkyung Bae, Hwanhee Lee, Minwoo Lee, and Kyomin Jung정보과학회 June 2021 -
모달리티 정렬을 통한 비디오 질의 응답 시스템 개선
Yongil Kim, Hyeongu Yun, Seungpil Won, and Kyomin Jung정보과학회 June 2021 -
표준국어대사전을 활용한 문장쌍 표현 모델 자기지도 학습 방법 연구
Taegwan Kang, Yanghoon Kim, and Kyomin Jung정보과학회 June 2021 -
특징 벡터 다양화를 통한 cGANs의 데이터 증강 개선 연구
Sungyoon Kim, Joonbo Shin, Yoonhyung Lee, and Kyomin Jung정보과학회 July 2020 -
맥락 정보 유사도를 활용한 이미지 피처 해싱
Hyeongu Yoon, Taegwan Kang, and Kyomin Jung정보과학회 December 2019 -
문장 레벨 그래프 회선 신경망을 통한 텍스트 분류
Minwoo Lee, Yanghoon Kim, and Kyomin Jung정보과학회 컴퓨팅의 실제 논문지 August 2019 -
딥러닝 기반의 미세먼지 농도 예측
Joonyoung Choi, Donghyeon Lee, Joonyoung Kim, and Kyomin Jung정보과학회 June 2019 -
이미지 물체 위치탐색을위한 효율적인 크라우드소싱시스템
Joonyoung Kim, Donghyeon Lee, and Kyomin Jung정보과학회 December 2018 -
준언어적 신호 압축 및 분류를 위한 심층 신경망
Seokhyun Byun, Seunghyun Yoon, and Kyomin Jung정보과학회 December 2018 -
신장 결정나무를 이용한 비정형, 울음, 심장박동, 자기평가 신호 분류
Seokhyun Byun, Seunghyun Yoon, and Kyomin Jung정보과학회 June 2018 -
언어 어원 정보를 활용한 단어 임베딩 기법을 통한 단어 유사도 계산 방법
Seunghyun Yoon, Pablo Estarda, and Kyomin Jung정보과학회 June 2017 -
LSTM 언어모델 기반 한국어 문장 생성
Yanghoon Kim, Yongkeun Hwang, Taegwan Kang, and Kyomin Jung한국통신학회논문지 May 2016 -
순환 신경망의 구조와 필기체 인식
Hyeongu Yoon, Dongseok Jung, and Kyomin Jung정보과학회 September 2015 -
Social Network Big Data 분석 기법과 응용
Byeongjin Choe, Yongkeun Hwang, and Kyomin Jung한국통신학회논문지 October 2014 -
소셜 네트워크 정보 확산 및 구조 분석을 위한 머신러닝 및 데이터 마이닝 기법
Byeongjin Choe, Yongkeun Hwang, and Kyomin Jung정보과학회 July 2014