Kyomin Jung

Kyomin Jung, Subhadeep Dey, Seunghyun Yoon, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Attentive Modality Hopping Mechanism for Speech Emotion Recognition

Kyomin Jung, Subhadeep Dey, Seunghyun Yoon, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning

Kyomin Jung, Seunghyun Yoon, Joongbo Shin, 2020, ACL.

Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model pdf

Kyomin Jung, Seunghyun Yoon, Jiin Nam, 2019, BioNLP@ACL.

Low Delay Scheduling in Wireless Network

Kyomin Jung, Devavrat Shah, D. Shah, 2007, 2007 IEEE International Symposium on Information Theory.

Efficient Energy Minimization for Enforcing Label Statistics

Kyomin Jung, Pushmeet Kohli, Yongsub Lim, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Prominent Features of Rumor Propagation in Online Social Media

Kyomin Jung, Wei Chen, Yajun Wang, 2013, 2013 IEEE 13th International Conference on Data Mining.

ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT

Kyomin Jung, Franck Dernoncourt, Trung Bui, 2020, EVAL4NLP.

Local Rules for Global MAP: When Do They Work ?

Kyomin Jung, Devavrat Shah, Pushmeet Kohli, 2009, NIPS.

Scene Text Extraction with Edge Constraint and Text Collinearity

Jin Hyung Kim, Kyomin Jung, Seonghun Lee, 2010, 2010 20th International Conference on Pattern Recognition.

Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data

Kyomin Jung, Heeyoung Kwak, Minwoo Lee, 2020, PAKDD.

Neural Networks for Compressing and Classifying Speaker-Independent Paralinguistic Signals

Kyomin Jung, Seunghyun Yoon, Seokhyun Byun, 2019, 2019 IEEE International Conference on Big Data and Smart Computing (BigComp).

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks

Kyomin Jung, Franck Dernoncourt, Seunghyun Yoon, 2020, LREC.

A local decision test for sparse polynomials

Kyomin Jung, Ronitt Rubinfeld, Elena Grigorescu, 2010, Inf. Process. Lett..

Revisiting Stochastic Loss Networks: Structures and Approximations

Kyomin Jung, Mark S. Squillante, Devavrat Shah, 2019, Math. Oper. Res..

Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder pdf

Kyomin Jung, Meeyoung Cha, Kunwoo Park, 2018, AAAI.

Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo- Boolean Functions

Kyomin Jung, Jeong Han Kim, Sung-Soon Choi, 2008, COLT.

Neural Sequence-to-grid Module for Learning Symbolic Rules pdf

Kyomin Jung, Hyoungwook Nam, Joonyoung Kim, 2021, AAAI.

Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding

Kyomin Jung, Hyeongu Yun, Yongkeun Hwang, 2020, AAAI.

Multimodal Speech Emotion Recognition Using Cross Attention with Aligned Audio and Text

Kyomin Jung, Seunghyun Yoon, Yoonhyung Lee, 2020, INTERSPEECH.

Distributed Averaging Via Lifted Markov Chains

Kyomin Jung, Devavrat Shah, Jinwoo Shin, 2009, IEEE Transactions on Information Theory.

Mobile App Recommendation with Sequential App Usage Behavior Tracking

Kyomin Jung, Dong Hyeon Lee, Yong-keun Hwang, 2019 .

Efficient Energy Minimization for Enforcing Statistics pdf

Kyomin Jung, Pushmeet Kohli, Yongsub Lim, 2013, ArXiv.

Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners

Kyomin Jung, David P. Woodruff, Sofya Raskhodnikova, 2012, SIAM J. Discret. Math..

Coalitional Structure Generation in Skill Games

Kyomin Jung, Pushmeet Kohli, Yoram Bachrach, 2010, AAAI.

LinkSCAN*: Overlapping community detection using the link-space transformation

Kyomin Jung, Jae-Gil Lee, Sungsu Lim, 2014, 2014 IEEE 30th International Conference on Data Engineering.

Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification

Kyomin Jung, Seunghyun Yoon, Yanghoon Kim, 2018, 2018 IEEE International Conference on Big Data and Smart Computing (BigComp).

Stability of the max-weight routing and scheduling protocol in dynamic networks and at critical loads

Kyomin Jung, Alexander L. Stolyar, Matthew Andrews, 2007, STOC '07.

Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications

Kyomin Jung, John C. S. Lui, John C.S. Lui, 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems.

Phase transitions for information diffusion in random clustered networks

Kyomin Jung, Sungsu Lim, Joongbo Shin, 2016, The European Physical Journal B.

Number Sequence Prediction Problems and Computational Powers of Neural Network Models pdf

Kyomin Jung, Hyoungwook Nam, Segwang Kim, 2018, ArXiv.

Effective Sentence Scoring Method Using BERT for Speech Recognition

Kyomin Jung, Yoonhyung Lee, Joonbo Shin, 2019, ACML.

Synonym discovery with etymology-based word embeddings

Kyomin Jung, Pablo Estrada, Seunghyun Yoon, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Lower and Upper Bounds for Linkage Discovery

Kyomin Jung, Byung Ro Moon, Sung-Soon Choi, 2009, IEEE Transactions on Evolutionary Computation.

Aspects of Rumor Spreading on a Microblog Network

Kyomin Jung, Wei Chen, Yajun Wang, 2013, SocInfo.

Local approximate inference algorithms pdf

Kyomin Jung, Devavrat Shah, D. Shah, 2006, ArXiv.

Distributed ranking in networks with limited memory and communication

Kyomin Jung, Milan Vojnovic, Bo Young Kim, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

Improving Neural Question Generation using Answer Separation pdf

Kyomin Jung, Yanghoon Kim, Hwanhee Lee, 2018, AAAI.

Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts

Kyomin Jung, Pushmeet Kohli, Yongsub Lim, 2015, UAI.

Feasible Rate Allocation in Wireless Networks

Kyomin Jung, Devavrat Shah, Ramakrishna Gummadi, 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

Optimal Coalition Structures In Skill Games

Kyomin Jung, Pushmeet Kohli, Yoram Bachrach, 2016 .

Modelling multi-state diffusion process in complex networks: theory and applications

Kyomin Jung, John C. S. Lui, Sungsu Lim, 2014, J. Complex Networks.

Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets

Kyomin Jung, Haesun Park, Minhwan Kim, 2015, ICML.

Partition-Merge: Distributed Inference and Modularity Optimization pdf

Kyomin Jung, Devavrat Shah, Vincent D. Blondel, 2013, IEEE Access.

Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks

Kyomin Jung, Hyoungwook Nam, Segwang Kim, 2018, AAAI.

DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator pdf

Kyomin Jung, Franck Dernoncourt, Trung Bui, 2020, ArXiv.

Transitive-Closure Spanners

Kyomin Jung, David P. Woodruff, Arnab Bhattacharyya, 2008, SIAM J. Comput..

Fully Distributed Algorithms for Minimum Delay Routing Under Heavy Traffic

Kyomin Jung, Hyunseok Chang, Sang-Woon Jeon, 2014, IEEE Transactions on Mobile Computing.

Stability of the Max-Weight protocol in adversarial wireless networks

Kyomin Jung, Matthew Andrews, Sungsu Lim, 2012, 2012 Proceedings IEEE INFOCOM.

BaitWatcher: A lightweight web interface for the detection of incongruent news headlines pdf

Kyomin Jung, Meeyoung Cha, Kunwoo Park, 2020, ArXiv.

Multimodal Speech Emotion Recognition Using Audio and Text

Kyomin Jung, Seunghyun Yoon, Seokhyun Byun, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach

Kyomin Jung, Sang Kyun Cha, Donghyeon Lee, 2020, IntelliSys.

Phase transition of multi-state diffusion process in networks

Kyomin Jung, John C. S. Lui, Sungsu Lim, 2014, PERV.

Comparative Studies of Detecting Abusive Language on Twitter

Kyomin Jung, Seunghyun Yoon, Younghun Lee, 2018, ALW.

Phase transition in a random NK landscape model

Kyomin Jung, Jeong Han Kim, Sung-Soon Choi, 2005, GECCO '05.

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights.

Kyomin Jung, Franck Dernoncourt, Trung Bui, 2020 .

Revisiting stochastic loss networks: structures and algorithms

Kyomin Jung, Mark S. Squillante, Devavrat Shah, 2008, SIGMETRICS '08.

KPQA: A Metric for Generative Question Answering Using Word Weights pdf

Kyomin Jung, Franck Dernoncourt, Trung Bui, 2020, ArXiv.

Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems

Kyomin Jung, Joonyoung Kim, Donghyeon Lee, 2015, SIGMETRICS.

Energy Minimization under Constraints on Label Counts

Kyomin Jung, Pushmeet Kohli, Yongsub Lim, 2010, ECCV.

Computing the Capacity Region of a Wireless Network

Kyomin Jung, Devavrat Shah, Ramakrishna Gummadi, 2009, IEEE INFOCOM 2009.

Fast Gossip via Non-reversible Random Walk

Kyomin Jung, Devavrat Shah, 2006, 2006 IEEE Information Theory Workshop - ITW '06 Punta del Este.

LSTM Language Model Based Korean Sentence Generation

Kyomin Jung, Yanghoon Kim, Yong-keun Hwang, 2016 .

Text Classification via Sentence-level Graph Convolutional Networks

Kyomin Jung, Yanghoon Kim, Minwoo Lee, 2019 .

Collaborative Training of Gans in Continuous and Discrete Spaces for Text Generation

Kyomin Jung, Seunghyun Yoon, Yanghoon Kim, 2020, IEEE Access.

Phase transition in a random NK landscape model

Kyomin Jung, Jeong Han Kim, Sung-Soon Choi, 2008, Artif. Intell..

MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis

Kyomin Jung, Yanghoon Kim, Yoonhyung Lee, 2019, SemEval@NAACL-HLT.

Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network pdf

Kyomin Jung, Seunghyun Yoon, Yuna Kim, 2017, AAAI Workshops.

Multi-scale Nystrom Method

Kyomin Jung, Le Song, Bo Dai, 2018, AISTATS.

A Compare-Aggregate Model with Latent Clustering for Answer Selection

Kyomin Jung, Franck Dernoncourt, Trung Bui, 2019, CIKM.

Learning to Select Question-Relevant Relations for Visual Question Answering

Kyomin Jung, Jaewoong Lee, Heejoon Lee, 2021, MAIWORKSHOP.

Pairwise Context Similarity for Image Retrieval System Using Variational Auto-Encoder

Kyomin Jung, Hyeongu Yun, Yongil Kim, 2021, IEEE Access.

Recommendation System With Hierarchical Recurrent Neural Network for Long-Term Time Series

Kyomin Jung, Taegwan Kang, Byeongjin Choe, 2021, IEEE Access.

Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation

Kyomin Jung, Sangwon Yoon, Yanghoon Kim, 2021, SEMEVAL.

Neural Sequence-to-grid Module for Learning Symbolic Rules

Kyomin Jung, Hyoungwook Nam, Segwang Kim, 2021, AAAI.

Air Quality Prediction with 1-Dimensional Convolution and Attention on Multi-modal Features

Kyomin Jung, Junyoung Choi, Joonyoung Kim, 2021, 2021 IEEE International Conference on Big Data and Smart Computing (BigComp).

Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information

Kyomin Jung, Yongkeun Hwang, Hyungu Yun, 2021, WMT.

Compositional Generalization via Parsing Tree Annotation

Kyomin Jung, Segwang Kim, Joonyoung Kim, 2021, IEEE Access.

RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction

Kyomin Jung, Minwoo Lee, Taegwan Kang, 2021, CIKM.

QACE: Asking Questions to Evaluate an Image Caption pdf

Kyomin Jung, Franck Dernoncourt, Seunghyun Yoon, 2021, EMNLP.

Iterative Learning for K-Approval Votes in Crowdsourcing Systems

Kyomin Jung, Joonyoung Kim, Donghyeon Lee, 2021, Applied Sciences.

Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network

Kyomin Jung, Meeyoung Cha, Minwoo Lee, 2021, IEEE Access.

Interpretable disease prediction using heterogeneous patient records with self-attentive fusion encoder

Kyomin Jung, Heeyoung Kwak, Byeongjin Choe, 2021, J. Am. Medical Informatics Assoc..

Context-Aware Neural Machine Translation for Korean Honorific Expressions

Kyomin Jung, Yongkeun Hwang, Yanghoon Kim, 2021, Electronics.

Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech

Kyomin Jung, Joongbo Shin, Yoonhyung Lee, 2021, ICLR.

Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation

Kyomin Jung, Hwanhee Lee, Taegwan Kang, 2021, SIGIR.

Analyzing and Controlling Inter-Head Diversity in Multi-Head Attention

Kyomin Jung, Hyeongu Yun, Taegwan Kang, 2021, Applied Sciences.

Improving Object Detection Quality by Incorporating Global Contexts via Self-Attention

Kyomin Jung, Joonyoung Kim, Donghyeon Lee, 2021 .

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning pdf

Kyomin Jung, Trung Bui, Franck Dernoncourt, 2021, ACL.

CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models

Kyomin Jung, Minwoo Lee, Seungpil Won, 2021, CIKM.

Fast and Slim Lifted Markov Chains

Kyomin Jung, Devavrat Shah, Jinwoo Shin, 2008 .

Approximate message-passing inference algorithm

Kyomin Jung, D. Shah, 2007, 2007 IEEE Information Theory Workshop.

On Computationally Bounded Adverserial Capacity

Kyomin Jung, Devavrat Shah, D. Shah, 2006 .

Algorithmically Efficient Networks

Kyomin Jung, Devavrat Shah, D. Shah, 2008 .

Analysis of information diffusion for threshold models on arbitrary networks

Kyomin Jung, Sungsu Lim, Seulki Lee, 2015 .