Kyeongman Park, Seongho Joo, Kyomin Jung, MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers, 26th edition of the Interspeech Conference (InterSpeech 2025) - August 2025, Rotterdam, The Netherlands.

Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, Kyomin Jung, LLMs can be easily Confused by Instructional Distractions, The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) - July 2025, Vienna, Austria.

Kyeongman Park, Minbeom Kim, Kyomin Jung, A Character-Centric Creative Story Generation via Imagination, The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) – July 2025, Vienna, Austria.

Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, and Marc Dymetman, Guaranteed Generation from Large Language Models, The Thirteenth International Conference on Learning Representations (ICLR 2025) - Apr 2025, Singapore, Singapore.

Dongryeol Lee*, Yerin Hwang*, Yongil Kim, Joonsuk Park, Kyomin Jung, Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation, 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - (Oral), April 2025, New Mexico, USA.

Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, Kyomin Jung, Generating Diverse Hypotheses for Inductive Reasoning, 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - (Oral), April 2025, New Mexico, USA.

Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung, AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence, 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), April 2025, New Mexico, USA.

Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, Kyomin Jung, SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models, Findings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL), April 2025, New Mexico, USA.

Kang-il Lee, Minbeom Kim, Seunghyun Yoon, Minsung Kim, Dongryeol Lee, Hyukhun Koh, Kyomin Jung, VLind-Bench: Measuring Language Priors in Large Vision-Language Models, Findings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL), April 2025, New Mexico, USA.

Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, Kyomin Jung, Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding, Findings of The 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL), April 2025, New Mexico, USA.

Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, and Kyomin Jung, Return of EM: Entity-driven Answer Set Expansion for QA Evaluation, The 31st International Conference on Computational Linguistics (COLING) - (Oral), January 2025, Abu Dhabi, UAE. [ code ] [ slide ]

Hyukhun Koh, Dohyung Kim, Minwoo Lee, and Kyomin Jung, Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric, Findings of the The 2024 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), November 2024, Miami, USA.

Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, and Kyomin Jung, MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2024, Miami, USA.

Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, and Kyomin Jung, MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors, 33rd ACM International Conference on Information and Knowledge Management (CIKM) - (Oral), October 2024, Boise, USA.

Nakyeong Yang, Taegwan Kang, Jungkyu Choi, Honglak Lee, and Kyomin Jung, Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination, The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), August 2024, Bangkok, Thailand.

Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park, Hwaran Lee, and Kyomin Jung, LifeTox: Unveiling Implicit Toxicity in Life Advice, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - (Oral), June 2024, Mexico city, Mexico.

Minwoo Lee, Hyukhun Koh, Minsung Kim, Kyomin Jung, Fine-grained Gender Control in Machine Translation with Large Language Models, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2024, Mexico city, Mexico.

Yunah Jang, Kang-il Lee, Hyunkyung Bae, Hwanhee Lee and Kyomin Jung, IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2024, Mexico city, Mexico.

Yerin Hwang, Yongil Kim, Hyunkyung Bae, Jeesoo Bang, Hwanhee Lee, and Kyomin Jung, Kosmic: Korean Text Similarity Metric Reflecting Honorific Distinctions, THE 2024 JOINT INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS, LANGUAGE RESOURCES AND EVALUATION (LREC-COLING), May 2024, Italy.

Kyeongman Park, Nakyeong Yang, and Kyomin Jung, LongStory: Coherent, Complete and Length Controlled Long story Generation, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) - (Oral), May 2024, Taipei, Taiwan.

Yoonhyung Lee, and Kyomin Jung, Boosting Speech Enhancement with Clean Self-Supervised Features via Conditional Variational Autoencoders, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2024, Korea.

Seongho Joo, Hyukhun Koh, and Kyomin Jung, DPP-TTS: Diversifying prosodic features of speech via determinantal point processes, The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP), Dec 2023, Singapore, Singapore.

Kang-il Lee, Segwang Kim, and Kyomin Jung, Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering, The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP), Dec 2023, Singapore, Singapore.

Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, and Kyomin Jung, Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation, The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP), Dec 2023, Singapore, Singapore.

Yerin Hwang*, Yongil Kim*, Hyunkyung Bae, Hwanhee Lee, Jeesoo Bang, and Kyomin Jung, Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources, The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP), Dec 2023, Singapore, Singapore.

Dongryeol Lee*, Segwang Kim*, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-woo Lee, and Kyomin Jung, Asking Clarification Questions to Handle Ambiguity in Open-Domain QA, Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP), Dec 2023, Singapore, Singapore. [ code ] [ slide ] [ poster]

Yongil Kim, Yerin Hwang, Hyeongu Yun, Seunghyun Yoon, Trung Bui, and Kyomin Jung, PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning, Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP), Dec 2023, Singapore, Singapore.

Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han, and Kyomin Jung, BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking, 60th Annual Meeting of the Association for Computational Linguistics: ACL 2023 (ACL), July 2023, Toronto, Canada.

Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, and Kyomin Jung, Critic-Guided Decoding for Controlled Text Generation, Findings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL), July 2023, Toronto, Canada.

Yongil Kim*, Yerin Hwang*, Joongbo Shin, Hyunkyung Bae, and Kyomin Jung, Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation, Findings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL), July 2023, Toronto, Canada.

Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jeong, and Kyomin Jung, Task-specific Compression for Multi-task Language Models using Attribution-based Pruning, Findings of the Association for Computational Linguistics: EACL 2023 (Findings of EACL), May 2023, Dubrovnik, Croatia.

Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, and Kyomin Jung, Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking, Findings of the Association for Computational Linguistics: NAACL 2022 (Findings of NAACL), July 2022, Seattle, WA, USA. [ code ] [ slide ] [ poster ] [ blog ]

Hyeongu Yun*, Yongil Kim*, and Kyomin Jung, Modality Alignment between Deep Representations for Effective Video-and-Language Learning, International Conference on Language Resources and Evaluation (LREC), June 2022, Marseille, France.

Yoonhyung Lee, Jinhyeok Yang, and Kyomin Jung, VarianceFlow: High-quality and Controllable Text-to-Speech Using Variance Information via Normalizing Flow, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022, Singapore.

Nakyeong Yang, Taegwan Kang, and Kyomin Jung, Deriving Explainable Discriminative Attributes using Confusion about Counterfactual Class, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - (Oral), May 2022, Singapore.

Heeyoung Kwak, Hyunkyung Bae, and Kyomin Jung, Subgraph Representation Learning With Hard Negative Samples for Inductive Link Prediction, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022, Singapore.

Yongkeun Hwang, Hyeongu Yun, and Kyomin Jung, Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information, Sixth Conference on Machine Translation (WMT), November 2021, Punta Cana, Dominican Republic.

Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, and Kyomin Jung, QACE: Asking Questions to Evaluate an Image Caption, Findings of the Association for Computational Linguistics: EMNLP 2021 (Findings of EMNLP), November 2021, Punta Cana, Dominican Republic. [code] [ slide ]

Taegwan Kang, Minwoo Lee, Nakyeong Yang, and Kyomin Jung, RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction, 30th ACM International Conference on Information and Knowledge Management (CIKM), November 2021, Virtual Conference.

Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheoneum Park, and Kyomin Jung, CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models, 30th ACM International Conference on Information and Knowledge Management (CIKM), November 2021, Virtual Conference.

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, and Kyomin Jung, UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP), August 2021, Virtual Conference. [ code ] [ slides ] [ poster ]

Taegwan Kang, Hwanhee Lee, Byeongjin Choe, and Kyomin Jung, Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation, International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 2021, Virtual Conference.

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, and Kyomin Jung, KPQA: A Metric for Generative Question Answering Using Keyphrase Weights, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2021, Virtual Conference. [ code ] [ slides ] [ poster ]

Yoonhyung Lee, Joongbo Shin, and Kyomin Jung, Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech, International Conference on Learning Representations (ICLR), Apr 2021, Virtual Conference.

Segwang Kim, Hyoungwook Nam, Joonyoung Kim, and Kyomin Jung, Neural Sequence-to-grid Module for Learning Symbolic Rules , AAAI Conference on Artificial Intelligence (AAAI), Feb 2021, Virtual Conference. [ code ][ poster ][ slides ]

Joonyoung Choi, Joonyoung Kim, and Kyomin Jung, Air Quality Prediction with 1-Dimensional Convolution and Attention on Multi-modal Features, IEEE International Conference on Big Data and Smart Computing (BigComp), Feb 2021, Jeju Island, Korea.

Yoonhyung Lee, Seunghyun Yoon, and Kyomin Jung, Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text, Interspeech, October 2020, Shanghai, China.

Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, and Kyomin Jung, Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning , Annual Meeting of the Association for Computational Linguistics (ACL), July 2020, Seattle, WA, USA. [ code ]

Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung, Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks, International Conference on Language Resources and Evaluation (LREC), May 2020, Marseille, France.

Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, JunYoung Choi, Insoon Yang, Kyomin Jung, and Sang Kyun Cha, STAR: Spatio-Temporal Prediction of Air Quality Using A Multimodal Approach, Intelligent Systems Conference (IntelliSys), Sep 2020, Amsterdam, Netherlands.

Joonyoung Kim, Donghyeon Lee, and Kyomin Jung, Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2020, Singapore.

Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sangmin Park, and Kyomin Jung, Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2020, Singapore.

Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, and Kyomin Jung, Attentive Modality Hopping Mechanism for Speech Emotion Recognition, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - (Oral), May 2020, Barcelona, Spain.

Hyeongu Yun*, Yongkeun Hwang*, and Kyomin Jung, Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding, AAAI Conference on Artificial Intelligence (AAAI), Jan 2020, New York City, New York, USA.

Joongbo Shin, Yoonhyung Lee, and Kyomin Jung, Effective Sentence Scoring Method Using BERT for Speech Recognition, Asian Conference on Machine Learning (ACML), Nov 2019, Nagoya, Japan.

Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung, A Compare-Aggregate Model with Latent Clustering for Answer Selection, ACM International Conference on Information and Knowledge Management (CIKM) - (Oral), Nov 2019, Beijing, China.

Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey, and Kyomin Jung, Speech Emotion Recognition Using Multi-Hop Attention Mechanism, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - (Oral), May 2019, Brighton, UK.

Seokhyun Byun, Seunghyun Yoon, and Kyomin Jung, Neural networks for compressing and classifying speaker-independent paralinguistic signals, IEEE International Conference on Big Data and Smart Computing (BigComp), Feb 2019, Kyoto, Japan.

Yanghoon Kim, Hwanhee Lee, Joongbo Shin, and Kyomin Jung, Improving Neural Question Generation using Answer Separation, AAAI Conference on Artificial Intelligence (AAAI), Jan 2019, Honolulu, Hawaii, USA.

Seunghyun Yoon*, Kunwoo Park*, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, and Kyomin Jung, Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder, AAAI Conference on Artificial Intelligence (AAAI) - (Oral), Jan 2019, Honolulu, Hawaii, USA.

Hyoungwook Nam, Segwang Kim, and Kyomin Jung, Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks, AAAI Conference on Artificial Intelligence (AAAI) - (Oral), Jan 2019, Honolulu, Hawaii, USA. [ poster ][ slides ]

Seunghyun Yoon, Joongbo Shin, and Kyomin Jung, Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2018, New Orleans, LA, USA.

Woosang Lim, Bo Dai, Rundong Du, Kyomin Jung, Le Song, and Haesun Park, Multi-scale Nystrom Method, International Conference on Artificial Intelligence and Statistics(AISTATS)- (Oral), April 2018.

Joongbo Shin, Yanghoon Kim, Seunghyun Yoon, and Kyomin Jung, Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification, IEEE International Conference on Big Data and Smart Computing(BigComp), Jan 2018, Shanghai, China.

Seunghyun Yoon, Pablo Estrada, and Kyomin Jung, Synonym Discovery with Etymology-based Word Embeddings, IEEE Syposium Series on Computational Intelligence (SSCI), Nov 2017, Hawaii, USA.

Seunghyun Yoon, Mohan Sundar, Abhishek gupta, and Kyomin Jung, Automatic Question Answering System for Consumer Products, the SAI Intelligent Systems Conference (IntelliSys), Sep 2016, London, UK.

Pablo Estrada, and Kyomin Jung, Knowledge extraction through etymological networks: Synonym discovery in sino-korean words, the 5th International conference on Information and Knowledge Management (ICIKM), July, 2016, Beijing, China. - Best paper of the information session

Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, and Pushmeet Kohli, Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts, Conference on Uncertainty in Artificial Intelligence (UAI), July 2015, Amsterdam, Netherlands.

Woosang Lim, Minhwan Kim, Haesun Park, and Kyomin Jung, Double Nystrom Method: An Efficient and Accurate Nystrom Scheme for Large-Scale Data Sets, International Conference on Machine Learning (ICML), July 2015, Lille, France.

Donghyeon Lee, Joonyoung Kim, Hyunmin Lee, and Kyomin Jung, Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems, ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2015, Portland, OR, USA.

Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil Lee, LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation, IEEE International Conference on Data Engineering (ICDE), Apr 2014, Chicago, IL, USA.

Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu Lim, Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications, International Conference on Signal Image Technology and Internet Based Systems (SITIS), Dec 2013, Kyoto, Japan.

Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun Wang, Prominent Features of Rumor Propagation in Online Social Media, IEEE International Conference on Data Mining (ICDM), Dec 2013, Dallas, TX, USA.

Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun Wang, Aspects of Rumor Spreading on a Microblog Network, The 5th International Conference on Social Informatics (SocInfo) Nov 2013, Kyoto, Japan.

Yongsub Lim, and Kyomin Jung, Decentralized Control for Intelligent Robot System to Avoid Moving Obstacles, International Conference on Intelligent Systems, Modeling and Simulation (ISMS), Jan 2013, Thailand.

Kyomin Jung, Wooram Heo, and Wei Chen, IRIE: Scalable and Robust Influence Maximization in Social Networks, IEEE International Conference on Data Mining (ICDM), Dec 2012, Brussels, Belgium. - 2021 IEEE ICDM 10-Year Highest-Impact Paper Award [ code ]

Kyomin Jung, Bo Young Kim, and Milan Vojnovic, Distributed Ranking in Networks with Limited Memory and Communication, IEEE International Symposium on Information Theory (ISIT), July 2012, Cambridge, MA, USA.

Sungsu Lim, Kyomin Jung, and Matthew Andrews, Stability of the Max-Weight Protocol in Adversarial Wireless Networks, IEEE International Conference on Computer Communications (INFOCOM), March 2012, Orlando, FL, USA.

Yongsub Lim, Kyomin Jung, and Pushmeet Kohli, Energy Minimization Under Constraints on Label Counts, European Conference on Computer Vision (ECCV), September 2010, Crete, Greece.

Arnab Bhattacharyya, Elena Grigorescu, Madhav Jha, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff, Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners, International Workshop on Randomization and Computation (RANDOM), September 2010, Barcelona, Spain.

SeongHun Lee, Min Su Cho, Kyomin Jung, and Jin Hyung Kim, Scene Text Extraction with Edge Constraint and Text Collinearity, International Conference on Pattern Recognition (ICPR), August 2010, Istanbul, Turkey.

Yoram Bachrach, Reshef Meir, Kyomin Jung, and Pushmeet Kohli, Coalitional Structure Generation in Skill Games, Proceedings AAAI-10, July 2010, Atlanta, USA.

Kyomin Jung, Pushmeet Kohli, and Devavrat Shah, Local Rules for Global MAP: When Do They Work ?, Annual Conference on Neural Information Processing Systems (NIPS), December 2009, Vancouver, Canada.

Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff, Transitive-Closure Spanners of the Hypercube and the Hypergrid, Electronic Colloquium on Computational Complexity (ECCC), TR09-046, May 2009.

Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, and Ramavarapu Sreenivas, Computing the Capacity Region of a Wireless Network, IEEE International Conference on Computer Communications (INFOCOM), April 2009, Rio De Janeiro, Brazil.

Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff, Transitive-Closure Spanners, ACM-SIAM Symposium on Discrete Algorithms (SODA), January 2009, New York, NY, USA.

Sung-soon Choi, Kyomin Jung, and Jeong Han Kim, Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo-Boolean Functions, The Annual Conference on Learning Theory (COLT), July 2008, Helsinki, Finland.

Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, and Mark S. Squillante, Revisiting Stochastic Loss Networks: Structures and Algorithms, ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2008, Annapolis, ML, USA.

Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, and Ramavarapu Sreenivas, Feasible Rate Allocation in Wireless Networks, IEEE International Conference on Computer Communications (INFOCOM), April 2008, Phoenix AZ, USA.

Kyomin Jung, and Devavrat Shah, Local Algorithms for Approximate Inference in Minor-Excluded Graphs, Annual Conference on Neural Information Processing Systems (NIPS), December 2007, Vancouver, Canada.

Kyomin Jung, and Devavrat Shah, Low Delay Scheduling in Wireless Network, IEEE International Symposium on Information Theory (ISIT), June 2007, Nice, France. Full Version.

Matthew Andrews, Kyomin Jung, and Alexander Stolyar, Stability of the Max-Weight Routing and Scheduling Protocol in Dynamic Networks and at Critical Loads, ACM Symposium on Theory of Computing (STOC), June 2007, San Diego, USA.

Sung-Soon Choi, Kyomin Jung, and Jeong Han Kim, Phase Transition in a Random NK Landscape Model, ACM Genetic and Evolutionary Computation Conference (GECCO), June 2005, Washington DC, USA.