International Conference Proceedings

1. Minsung Kim, Dong-Kyum Kim, Jea Kwon, Nakyeong Yang, Kyomin Jung, and Meeyoung Cha, How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models, The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) - July 2026, San Diego, USA.
2. Minha Jhang, Kyeongman Park, Hyukhun Koh, and Kyomin Jung, Fine-grained Story Visualization Evaluation via Diversified Storylines, The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) - July 2026, San Diego, USA.
3. Junseok Kim, Nakyeong Yang, Kyungmin Min, and Kyomin Jung, Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning, Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) - July 2026, San Diego, USA.
4. Minsung Kim, Nakyeong Yang, and Kyomin Jung, Rethinking Post-Unlearning Behavior of Large Vision-Language Models, Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) - July 2026, San Diego, USA.
5. Kyeongman Park, Minha Jhang, and Kyomin Jung, A Universal Avoidance Method for Diverse Multi-branch Generation, Findings of the Association for Computational Linguistics: ACL 2026 (Findings of ACL) - July 2026, San Diego, USA.
6. Nakyeong Yang, Dong-Kyum Kim, Jea Kwon, Minsung Kim, Kyomin Jung, and Meeyoung Cha, Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning, The Fourteenth International Conference on Learning Representations (ICLR 2026) - April 2027, Rio de Janeiro, Brazil.
7. Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, and Kyomin Jung, Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation, Findings of The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026) - March 2026, Rabat, Morocco.
8. Junseok Kim, Nakyeong Yang, and Kyomin Jung, Persona Switch: Mixing Distinct Perspectives in Decoding Time, Findings of The 19th Conference of the European Chapter of the Association for Computational Linguistics (Findings of EACL 2026) - March 2026, Rabat, Morocco.
9. Sangmook Lee*, Dohyung Kim*, Hyukhun Koh, Nakyeong Yang, and Kyomin Jung, Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning, The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026) - January 2026, Singapore.
10. Junseok Kim, Nakyeong Yang, and Kyomin Jung, Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks, International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025) - December 2025, Mumbai, India.
11. Kang-il Lee, Jahyun Koo, Seunghyun Yoon, Minbeom Kim, Hyukhun Koh, Dongryeol Lee, and Kyomin Jung, Program Synthesis via Test-Time Transduction, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) - December 2025, San Diego, CA, USA.
12. Hyukhun Koh*, Minha Jhang*, Dohyung Kim, Sangmook Lee, and Kyomin Jung, Conditional [MASK] Discrete Diffusion Language Model, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) - November 2025, Suzhou, China.
13. Kyeongman Park, Nakyeong Yang, and Kyomin Jung, Avoidance Decoding for Diverse Multi-Branch Story Generation, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) - November 2025, Suzhou, China.
14. Yerin Hwang*, Dongryeol Lee*, Kyungmin Min, Taegwan Kang, Yongil Kim, and Kyomin Jung, Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) - November 2025, Suzhou, China.
15. Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, and Kyomin Jung, FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) - November 2025, Suzhou, China.
16. Seongho Joo, Hyukhun Koh, and Kyomin Jung, Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) - November 2025, Suzhou, China.
17. Jeonghye Kim*, Sojeong Rhee*, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, and Kyomin Jung, ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) - November 2025, Suzhou, China.
18. Seongho Joo, Hyukhun Koh, and Kyomin Jung, Public Data Assisted Differentially Private In-Context Learning, Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) - November 2025, Suzhou, China.
19. Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, and Kyomin Jung, Can You Trick the Grader? Adversarial Persuasion of LLM Judges, Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) - November 2025, Suzhou, China.
20. Minbeom Kim, Kang-il Lee, Seongho Joo, Hwaran Lee, Thibaut Thonet, and Kyomin Jung, Drift: Decoding-time Personalized Alignments with Implicit User Preferences, Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2025) - November 2025, Suzhou, China.
21. Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, and Kyomin Jung, Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time, The 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) - November 2025, Seoul, Korea.
22. Kyeongman Park, Seongho Joo, and 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.
23. Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, and 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.
24. Kyeongman Park, Minbeom Kim, and 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.
25. 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) - April 2025, Singapore, Singapore.
26. Dongryeol Lee*, Yerin Hwang*, Yongil Kim, Joonsuk Park, and 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.
27. Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, and 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.
28. Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, and 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.
29. Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, and 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.
30. Kang-il Lee, Minbeom Kim, Seunghyun Yoon, Minsung Kim, Dongryeol Lee, Hyukhun Koh, and 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.
31. Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, and 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.
32. 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]
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. Minwoo Lee, Hyukhun Koh, Minsung Kim, and 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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) - December 2023, Singapore, Singapore.
44. 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) - December 2023, Singapore, Singapore.
45. 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) - December 2023, Singapore, Singapore.
46. 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) - December 2023, Singapore, Singapore.
47. 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) - December 2023, Singapore, Singapore. [code] [slide] [poster]
48. 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) - December 2023, Singapore, Singapore.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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]
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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]
60. 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.
61. 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.
62. 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]
63. 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.
64. 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]
65. Yoonhyung Lee, Joongbo Shin, and Kyomin Jung, Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech, International Conference on Learning Representations (ICLR) - April 2021, Virtual Conference.
66. Segwang Kim, Hyoungwook Nam, Joonyoung Kim, and Kyomin Jung, Neural Sequence-to-grid Module for Learning Symbolic Rules, AAAI Conference on Artificial Intelligence (AAAI) - February 2021, Virtual Conference. [code] [poster] [slides]
67. 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) - February 2021, Jeju Island, Korea.
68. Yoonhyung Lee, Seunghyun Yoon, and Kyomin Jung, Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text, Interspeech - October 2020, Shanghai, China.
69. 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]
70. 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.
71. 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) - September 2020, Amsterdam, Netherlands.
72. 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.
73. 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.
74. 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.
75. Hyeongu Yun*, Yongkeun Hwang*, and Kyomin Jung, Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding, AAAI Conference on Artificial Intelligence (AAAI) - January 2020, New York City, New York, USA.
76. Joongbo Shin, Yoonhyung Lee, and Kyomin Jung, Effective Sentence Scoring Method Using BERT for Speech Recognition, Asian Conference on Machine Learning (ACML) - November 2019, Nagoya, Japan.
77. 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), November 2019, Beijing, China.
78. 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.
79. 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) - February 2019, Kyoto, Japan.
80. Yanghoon Kim, Hwanhee Lee, Joongbo Shin, and Kyomin Jung, Improving Neural Question Generation using Answer Separation, AAAI Conference on Artificial Intelligence (AAAI) - January 2019, Honolulu, Hawaii, USA.
81. 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), January 2019, Honolulu, Hawaii, USA.
82. 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), January 2019, Honolulu, Hawaii, USA. [poster] [slides]
83. 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.
84. 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.
85. 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) - January 2018, Shanghai, China.
86. Seunghyun Yoon, Pablo Estrada, and Kyomin Jung, Synonym Discovery with Etymology-based Word Embeddings, IEEE Syposium Series on Computational Intelligence (SSCI) - November 2017, Hawaii, USA.
87. Seunghyun Yoon, Mohan Sundar, Abhishek gupta, and Kyomin Jung, Automatic Question Answering System for Consumer Products, the SAI Intelligent Systems Conference (IntelliSys) - September 2016, London, UK.
88. 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
89. 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.
90. 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.
91. 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.
92. 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) - April 2014, Chicago, IL, USA.
93. 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) - December 2013, Kyoto, Japan.
94. 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) - December 2013, Dallas, TX, USA.
95. 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) - November 2013, Kyoto, Japan.
96. Yongsub Lim, and Kyomin Jung, Decentralized Control for Intelligent Robot System to Avoid Moving Obstacles, International Conference on Intelligent Systems, Modeling and Simulation (ISMS) - January 2013, Thailand.
97. Kyomin Jung, Wooram Heo, and Wei Chen, IRIE: Scalable and Robust Influence Maximization in Social Networks, IEEE International Conference on Data Mining (ICDM) - December 2012, Brussels, Belgium. - 2021 IEEE ICDM 10-Year Highest-Impact Paper Award [code]
98. 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.
99. 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.
100. Yongsub Lim, Kyomin Jung, and Pushmeet Kohli, Energy Minimization Under Constraints on Label Counts, European Conference on Computer Vision (ECCV) - September 2010, Crete, Greece.
101. 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.
102. 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.
103. Yoram Bachrach, Reshef Meir, Kyomin Jung, and Pushmeet Kohli, Coalitional Structure Generation in Skill Games, Proceedings AAAI-10 - July 2010, Atlanta, USA.
104. 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.
105. 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.
106. 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.
107. 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.
108. 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.
109. 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.
110. 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.
111. 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.
112. Kyomin Jung, and Devavrat Shah, Low Delay Scheduling in Wireless Network, IEEE International Symposium on Information Theory (ISIT) - June 2007, Nice, France. Full Version.
113. 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.
114. 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.

International Journal Publications

1. (SCIE) Yoonhyung Lee, Younhyung Chae, and Kyomin Jung, Leveraging VQ-VAE Tokenization for Autoregressive Modeling of Medical Time Series, AI in Medicine - August 2024.
2. (SCIE) Yoonhyung Lee, and Kyomin Jung, adaStride: Using Time Adaptive Strides in Audio Data for Effective Downsampling, Computer Speech and Langauge - January 2025.
3. (SCIE) Siun Kim, Taegwan Kang, Tae Kyu Chung, Yoona Choi, YeSol Hong, Kyomin Jung, and Howard Lee, Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques, Drug Safety - June 2023.
4. (SCIE) Taegwan Kang, Segwang Kim, Hyeongu Yun, Hwanhee Lee, and Kyomin Jung, Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction, IEEE Access - December 2022.
5. (SCIE) Minbeom Kim, Kyeongha Rho, Yong-duk Kim, and Kyomin Jung, Action-Driven Contrastive Representation for Reinforcement Learning, PLOS ONE - March 2022.
6. (SCI) Heeyoung Kwak, Jooyoung Chang, Byeongjin Choe, Sangmin Park, and Kyomin Jung, Interpretable Disease Prediction Using Heterogeneous Patient Records with Self-Attentive Fusion Encoder, Journal of the American Medical Informatics Association - July 2021.
7. (SCIE) Yongkeun Hwang, Yanghoon Kim, and Kyomin Jung, Context-aware Neural Machine Translation for Korean Honorific Expressions, MDPI Electronics - June 2021.
8. (SCIE) Byeongjin Choe, Taegwan Kang, and Kyomin Jung, Recommendation System with Hierarchical Recurrent Neural Network for Long-term Time Series, IEEE Access - May 2021.
9. (SCIE) Vincent Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah, and Seungpil Won, Partition-Merge: Distributed Inference and Modularity Optimization, IEEE Access - March 2021.
10. (SCIE) Hyeongu Yun, Yongil Kim, Taegwan Kang, and Kyomin Jung, Pairwise Context Similarity for Image Retrieval System using Variational Auto-Encoder, IEEE Access - February 2021.
11. (SCIE) Seunghyun Yoon, Kunwoo Park, Minwoo Lee, Taegyun Kim, Meeyoung Cha, and Kyomin Jung, Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network, IEEE Access - February 2021.
12. (SCIE) Hyeongu Yun, Taegwan Kang, and Kyomin Jung, Analyzing and Controlling Inter-Head Diversity in Multi-Head Attention, MDPI Applied Sciences - February 2021.
13. (SCIE) Segwang Kim, Joonyoung Kim, and Kyomin Jung, Compositional Generalization via Parsing Tree Annotation, IEEE Access - January 2021. [code]
14. (SCIE) Joonyoung Kim, Hyowoon Seo, Wan Choi, and Kyomin Jung, Homeostasis-Inspired Continual Learning: Learning to Control Structural Regularization, IEEE Access - January 2021.
15. (SCIE) Donghyeon Lee, Joonyoung Kim, and Kyomin Jung, Improving Object Detection Quality by Incorporating Global Contexts via Self-Attention, MDPI Electronics - January 2021.
16. (SCIE) Joonyoung Kim, Donghyeon Lee, and Kyomin Jung, Iterative Learning for K-Approval Votes in Crowdsourcing Systems, MDPI Electronics - January 2021.
17. (SCIE) Yanghoon Kim, Seungpil Won, Seunghyun Yoon, and Kyomin Jung, Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation, IEEE Access - December 2020.
18. (SCI) Seokhyun Byun*, Seunghyun Yoon*, and Kyomin Jung, Comparative Studies on Machine Learning for Paralinguistic Signal Compression and Classification, Journal of Supercomputing - June 2020.
19. (SCI) Byeongjin Choe, Yishi Lin, Sungsu Lim, John C. S. Lui, and Kyomin Jung, Efficient spread-size approximation of opinion spreading in general social networks, Physical Review E - November 2019.
20. (SCIE) Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, and Mark S Squillante, Revisiting Stochastic Loss Networks: Structures and Approximations, Mathematics of Operations Research - May 2019.
21. (SCIE) Yongkeun Hwang, Donghyeon Lee, and Kyomin Jung, Mobile App Recommendation with Sequential App Usage Behavior Tracking, Journal of Internet Technology (JIT) - May 2019.
22. (SCIE) Heeyoung Kwak, Joonyoung Kim, Yongsub Lim, Shin-Kap Han, and Kyomin Jung, Centrality Fairness: Measuring and Analyzing Structural Inequality of Online Social Network, Journal of Internet Technology (JIT) - December 2017.
23. (SCIE) Woosang Lim, Jungsoo Lee, Yongsub Lim, Doo-Hwan Bae, Haesun Park, Dae-Shik Kim, and Kyomin Jung, Hierarchical Ordering with Partial Pairwise Hierarchical Relationships on the Macaque Brain Data Sets, PLOS ONE - May 2017.
24. (SCIE) Sejeong Kwon, Meeyoung Cha, and Kyomin Jung, Rumor Detection over Varying Time Windows, PLOS ONE - January 2017.
25. (SCI) Sungsu Lim, Joongbo Shin, Namju Kwak, and Kyomin Jung, Phase transitions for information diffusion in random clustered networks, European Physical Journal B - September 2016.
26. (SCI) Sungsu Lim, Inwoo Jung, Seulki Lee, and Kyomin Jung, Analysis of Information Diffusion for Threshold Models on Arbitary Networks, European Physical Journal B - June 2015.
27. (SCIE) Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu Lim, Modelling Multi-state Diffusion Process in Complex Networks: Theory and Applications, Journal of Complex Networks - July 2014.
28. (SCI) Sungsu Lim, Kyomin Jung, and Matthew Andrews, Stability of the Max-Weight Protocol in Adversarial Wireless Networks, IEEE Transactions on Networking, v.22, n.6 - December 2014.
29. (SCI) Yongsub Lim, Kyomin Jung, and Pushmeet Kohli, Efficient Energy Minimization for Enforcing Label Statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol.36, n.9 - September 2014.
30. (SCI) Sang-Woon Jeon, Kyomin Jung, and Hyunseok Chang, Fully Distributed Algorithms for Minimum Delay Routing Under Heavy Traffic, IEEE Transactions on Mobile Computing, v.13, n.5 - May 2014.
31. (SCI) Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff, Transitive-Closure Spanners, SIAM J. on Computing (SICOMP) - November 2012.
32. (SCI) Arnab Bhattacharyya, Elena Grigorescu, Madhav Jha, Kyomin Jung, Sofya Raskhodnikova, and David Woodruff, Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners, SIAM J. on Discrete Math (SIDMA), v.26, n.2, 618-646 - May 2012.
33. (SCI) Sung-soon Choi, Kyomin Jung, and Jeong Han Kim, Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo-Boolean Functions, Journal of Computer and System Sciences (JCSS), v.77, n.6, 1039-1053 - November 2011.
34. (SCI) Kyomin Jung, Devavrat Shah, and Jinwoo Shin, Distributed Averaging Via Lifted Markov Chains, IEEE Transactions on Information Theory, v.56, n.1, 634-647 - January 2010.
35. (SCI) Elena Grigorescu, Kyomin Jung, and Ronitt Rubinfeld, A Local Decision Test for Sparse Polynomials, Information Processing Letters, v.110, n.20, 898-901 - September 2010.
36. (SCI) Sung-soon Choi, Kyomin Jung, and Byung-Ro Moon, Lower and Upper Bounds for Linkage Discovery, IEEE Transactions on Evolutionary Computation, v.13, n.2, 201-216 - April 2009.
37. (SCI) Sung-Soon Choi, Kyomin Jung, and Jeong Han Kim, Phase Transition in a Random NK Landscape Model, Artificial Intelligence 172(2-3): 179-203 - February 2008.

Workshops

1. Hyojeong Yu*, Hyukhun Koh*, Minsung Kim, and Kyomin Jung, Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset, CHI Workshop on Human-Centered Evaluation and Auditing of Language Models - April 2026, Barcelona, Spain.
2. Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, and Kyomin Jung, Mitigating Hallucinations in LVLMs via Summary-Guided Decoding, Neurips Workshop on Safe Generative AI - December 2024, Vancouver, Canada.
3. Yoonsang Lee*, Dongryeol Lee*, and Kyomin Jung, Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty, EMNLP Workshop on Argument Mining - December 2023, Singapore, Singapore.
4. Seongho Joo*, Kang-il Lee*, Kyungmin Min*, Joongbo Shin, Janghoon Han, Seungpil Won, and Kyomin Jung, Leveraging Ensemble Techniques and Metadata for Subjective Knowledge-grounded Conversational Systems, SIGDial 2023 Workshop on The Eleventh Dialog System Technology Challenge (DSTC11) - September 2023, Prague, Czech Republic.
5. Hyukhun Koh, Haesung Pyun, Nakyeong Yang, and Kyomin Jung, Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer, SIGDial 2023 Workshop on The Eleventh Dialog System Technology Challenge (DSTC11) - September 2023, Prague, Czech Republic.
6. Hwanhee Lee, Cheoneum Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Juae Kim, and Kyomin Jung, Factual Error Correction for Abstractive Summaries Using Entity Retrieval, EMNLP Workshop on Generation, Evaluation & Metrics (GEM) - December 2022, Abu Dhabi, UAE.
7. Yongil Kim, Yerin Hwang, Seunghyun Yoon, Hyungu Yun, and Kyomin Jung, Improving Cross-modal Attention via Object Detection, NeurIPS Workshop on All Things Attention: Bridging Different Perspectives on Attention - December 2022, New Orleans, LA, USA.
8. Yunah Jang, Dongryeol Lee, Hyung Joo Park, Taegwan Kang, Hwanhee Lee, Hyunkyung Bae, and Kyomin Jung, Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pre-trained Language Model, ACL Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc) - May 2022, Dublin, Ireland.
9. Jaewoong Lee*, Heejoon Lee*, Hwanhee Lee, and Kyomin Jung, Learning to Select Question-Relevant Relations for Visual Question Answering, NAACL Workshop on Multimodal Artificial Intelligence (MAI) - June 2021, Virtual.
10. Hyunkyung Bae, Minwoo Lee, Ahhyeon Kim, Hwanhee Lee, Cheongjae Lee, Cheoneum Park, Donghyeon Kim, and Kyomin Jung, Relevance Similarity Scorer and Entity Guided Reranking for Knowledge Grounded Dialog System, AAAI Workshop on Dialog System Technology Challenge (DSTC) - February 2021, Virtual.
11. Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung, ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT, EMNLP Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP) - November 2020, Virtual.
12. Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung, DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator, AAAI Workshop on Dialog System Technology Challenge (DSTC) - February 2020, New York City, NY, USA.
13. Jiin Nam, Seunghyun Yoon, and Kyomin Jung, Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model, ACL Workshop on BioNLP - August 2019, Florence, Italy.
14. Yoonhyung Lee, Yanghoon Kim, and Kyomin Jung, MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis, NAACL Workshop on Semantic Evaluation(SemEval) - June 2019, Minneapolis, MN, USA.
15. Hwanhee Lee, and Kyomin Jung, Insensibility of Question Word Order in Visual Question Answering, NAACL Workshop on Shortcomings in Vision and Langauge (SiVL) - June 2019, Minneapolis, MN, USA.
16. Seunghyun Yoon, Seokhyun Byun, and Kyomin Jung, Multimodal Speech Emotion Recognition using Audio and Text, IEEE Workshop on Spoken Language Technology (SLT) - December 2018, Athens, Greece.
17. Younghun Lee, Seunghyun Yoon, and Kyomin Jung, Comparative Studies of Detecting Abusive Language on Twitter, EMNLP Workshop on Abusive Language Online - November 2018, Brussels, Belgium.
18. Yanghoon Kim, Hwanhee Lee, and Kyomin Jung, AttnConvnet at SemEval-2018-Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification, NAACL Workshop on Semantic Evaluation(SemEval) - June 2018, New Orleans, LA, USA.
19. Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, and Haesun Park, Multi-scale Nystrom Method, NIPS Workshop on Optimization for Machine Learning(OPT) - December 2017, Long Beach CA, USA.
20. Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, and Kyomin Jung, Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network, AAAI Workshop on Crowdsourcing, Deep Learning and Artificial Intelligence Agents - February 2017, San Francisco CA, USA.
21. Adrian Kim, Kyomin Jung, Daniel Tarlow, and Pushmeet Kohli, Computing Expected Losses in Perturbation Models using Multidimensional Parametric Min-cuts, NIPS Workshop on on Perturbations, Optimization, and Statistics(POS) - December 2014, Montreal, Canada.
22. Byungkon Kang, and Kyomin Jung, Robust and Efficient Locality Sensitive Hashing for Nearest Neighbor Search in Large Data Sets, NIPS Workshop on Big Learning (BigLearn) - December 2012, Lake Tahoe, Nevada, USA.
23. Sungsu Lim, Namju Kwak, and Kyomin Jung, Phase Transitions for Information Spreading in Random Clustered Networks with Arbitrary Contact Rates, Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) - November 2012, MIT, Cambridge MA, USA.
24. Sungsu Lim, and Kyomin Jung, Generalized Mean-Field Approximation for Opinion Spreading in Social Networks, Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) - November 2012, MIT, Cambridge MA, USA.
25. Kyomin Jung, Wooram Heo, and Wei Chen, IRIE: Scalable and Robust Influence Maximization in Social Networks, Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) - November 2012, MIT, Cambridge MA, USA.
26. Jungsoo Lee, Yongsub Lim, Woosang Lim, Kyomin Jung, and Dae-Shik Kim, Hierarchical Analysis in the Human Brain Connectivity Networks, Society for Neuroscience - October 2012, New Orleans, USA.
27. Sungsu Lim, Namju Kwak, and Kyomin Jung, Phase Transitions for Information Spreading in Random Clustered Networks with Arbitrary Contact Rates, 2012 Workshop on Information in Networks (WIN) - September 2012, New York NY, USA.
28. Kyomin Jung, Seulki Lee, and Sungsu Lim, Analysis of Information Diffusion on Threshold Models in Arbitrary Social Networks, 2012 Workshop on Information in Networks (WIN) - September 2012, New York NY, USA.
29. Kyomin Jung, Wooram Heo, and Wei Chen, IRIE: Scalable and Robust Influence Maximization in Social Networks, 2012 Workshop on Information in Networks (WIN) - September 2012, New York NY, USA.
30. Sungsu Lim, and Kyomin Jung, Tipping Point of Information Spreading in Random Clustered Networks with Heterogeneous Contact Rates, The 3rd Workshop on Complex Networks (CompleNet) - March 2012, Melbourne FL, USA.
31. Kyomin Jung, Wooram Heo, and Wei Chen, IRIE: A Scalable Influence Maximization Algorithm in Social Networks, The 3rd Workshop on Complex Networks (CompleNet) - March 2012, Melbourne FL, USA.
32. Hyuna Kim, Seulki Lee, and Kyomin Jung, Analysis of Tipping Points for Threshold Models on Arbitrary Networks, The 3rd Workshop on Complex Networks (CompleNet) - March 2012, Melbourne FL, USA.
33. Yongsub Lim, Kyomin Jung, and Pushmeet Kohli, Constrained Discrete Optimization via Dual Space Search, NIPS Workshop on Discrete Optimization on Machine Learning (DISCML) - December 2011, Granada, Spain.
34. Byungkon Kang, Woosang Lim, and Kyomin Jung, Scalable Kernel k-Means via Centroid Approximation, NIPS Workshop on Big Learning (BigLearn) - December 2011, Granada, Spain.
35. Kyomin Jung, Boyoung Kim, and Milan Vojnovic, Parsimonious Algorithms for Decentralized Ranking in Social Networks, Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) - May 2011, Cambridge, MA, USA.
36. Seulki Lee, Hyuna Kim, and Kyomin Jung, Analysis of Tipping Points in Social Networks for Diffusion of Innovations, Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS) - May 2011, Cambridge, MA, USA.
37. Kyomin Jung, Devavrat Shah, and Jinwoo Shin, Fast and Slim Lifted Markov Chains, Invited paper to the ALLERTON Conference on Communication, Control and Computing - September 2007, Monticello IL, USA.
38. Kyomin Jung, and Devavrat Shah, Local Approximate Inference Algorithms, Invited paper to the ALLERTON Conference on Communication, Control and Computing - September 2007, Monticello IL, USA.
39. Kyomin Jung, and Devavrat Shah, Fast Gossip via Non-reversible Random walk, Invited paper to the IEEE Information Theory Workshop (ITW) - March 2006, Punta del Este, Uruguay.
40. Kyomin Jung, and Devavrat Shah, On Computationally Bounded Adversarial Capacity, Invited paper to the Information Theory and Application Workshop (ITA) - February 2006, San Diego, USA.