Kyomin Jung - RankMe

233 papers A* 34A 10B 7C 1Misc 6Journal 117Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR. CoRR Dohyung Kim, Minbeom Kim, Jeonghye Kim, Sangmook Lee, Sojeong Rhee, Kyomin Jung
2026	J	`jnl`	CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution. CoRR Minbeom Kim, Mihir Parmar, Phillip Wallis, Lesly Miculicich, Kyomin Jung, Krishnamurthy Dj Dvijotham, Long T. Le, Tomas Pfister
2026	A*	`conf`	Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning. AAAI Sangmook Lee, Dohyung Kim, Hyukhun Koh, Nakyeong Yang, Kyomin Jung
2026	—	`conf`	Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation. EACL (Findings) Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
2026	J	`jnl`	Judging Against the Reference: Uncovering Knowledge-Driven Failures in LLM-Judges on QA Evaluation. CoRR Dongryeol Lee, Yerin Hwang, Taegwan Kang, Minwoo Lee, Younhyung Chae, Kyomin Jung
2026	—	`conf`	Persona Switch: Mixing Distinct Perspectives in Decoding Time. EACL (Findings) Junseok Kim, Nakyeong Yang, Kyomin Jung
2026	J	`jnl`	Persona Switch: Mixing Distinct Perspectives in Decoding Time. CoRR Junseok Kim, Nakyeong Yang, Kyomin Jung
2026	J	`jnl`	Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning. CoRR Junseok Kim, Nakyeong Yang, Kyungmin Min, Kyomin Jung
2026	J	`jnl`	When Wording Steers the Evaluation: Framing Bias in LLM judges. CoRR Yerin Hwang, Dongryeol Lee, Taegwan Kang, Minwoo Lee, Kyomin Jung
2025	—	`conf`	A Character-Centric Creative Story Generation via Imagination. ACL (Findings) Kyeongman Park, Minbeom Kim, Kyomin Jung
2025	—	`conf`	AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence. NAACL (Long Papers) Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung
2025	—	`conf`	Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation. NAACL (Long Papers) Dongryeol Lee, Yerin Hwang, Yongil Kim, Joonsuk Park, Kyomin Jung
2025	A*	`conf`	Avoidance Decoding for Diverse Multi-Branch Story Generation. EMNLP Kyeongman Park, Nakyeong Yang, Kyomin Jung
2025	J	`jnl`	Avoidance Decoding for Diverse Multi-Branch Story Generation. CoRR Kyeongman Park, Nakyeong Yang, Kyomin Jung
2025	J	`jnl`	Black-Box Hallucination Detection via Consistency Under the Uncertain Expression. CoRR Seongho Joo, Kyungmin Min, Jahyun Koo, Kyomin Jung
2025	—	`conf`	Can You Trick the Grader? Adversarial Persuasion of LLM Judges. EMNLP (Findings) Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
2025	J	`jnl`	Can You Trick the Grader? Adversarial Persuasion of LLM Judges. CoRR Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
2025	A*	`conf`	Conditional [MASK] Discrete Diffusion Language Model. EMNLP Hyukhun Koh, Minha Jhang, Dohyung Kim, Sangmook Lee, Kyomin Jung
2025	J	`jnl`	Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning. CoRR Sangmook Lee, Dohyung Kim, Hyukhun Koh, Nakyeong Yang, Kyomin Jung
2025	J	`jnl`	Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation. CoRR Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
2025	—	`conf`	Drift: Decoding-time Personalized Alignments with Implicit User Preferences. EMNLP (Findings) Minbeom Kim, Kang-il Lee, Seongho Joo, Hwaran Lee, Thibaut Thonet, Kyomin Jung
2025	J	`jnl`	Drift: Decoding-time Personalized Alignments with Implicit User Preferences. CoRR Minbeom Kim, Kang-il Lee, Seongho Joo, Hwaran Lee, Kyomin Jung
2025	J	`jnl`	Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning. CoRR Nakyeong Yang, Dong-Kyum Kim, Jea Kwon, Minsung Kim, Kyomin Jung, Meeyoung Cha
2025	A*	`conf`	FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge. EMNLP Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung
2025	J	`jnl`	FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge. CoRR Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung
2025	A*	`conf`	Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation. EMNLP Yerin Hwang, Dongryeol Lee, Kyungmin Min, Taegwan Kang, Yongil Kim, Kyomin Jung
2025	J	`jnl`	Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation. CoRR Yerin Hwang, Dongryeol Lee, Kyungmin Min, Taegwan Kang, Yongil Kim, Kyomin Jung
2025	—	`conf`	Generating Diverse Hypotheses for Inductive Reasoning. NAACL (Long Papers) Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, Kyomin Jung
2025	A*	`conf`	Guaranteed Generation from Large Language Models. ICLR Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, Marc Dymetman
2025	A*	`conf`	Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding. EMNLP Seongho Joo, Hyukhun Koh, Kyomin Jung
2025	J	`jnl`	Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding. CoRR Seongho Joo, Hyukhun Koh, Kyomin Jung
2025	—	`conf`	LLMs can be easily Confused by Instructional Distractions. ACL (1) Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, Kyomin Jung
2025	J	`jnl`	LLMs can be easily Confused by Instructional Distractions. CoRR Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, Kyomin Jung
2025	—	`conf`	Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding. NAACL (Findings) Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, Kyomin Jung
2025	A	`conf`	MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers. INTERSPEECH Kyeongman Park, Seongho Joo, Kyomin Jung
2025	J	`jnl`	MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers. CoRR Kyeongman Park, Seongho Joo, Kyomin Jung
2025	—	`conf`	Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks. IJCNLP-AACL (Findings) Junseok Kim, Nakyeong Yang, Kyomin Jung
2025	J	`jnl`	Program Synthesis via Test-Time Transduction. CoRR Kangil Lee, Jahyun Koo, Seunghyun Yoon, Minbeom Kim, Hyukhun Koh, Dongryeol Lee, Kyomin Jung
2025	—	`conf`	Public Data Assisted Differentially Private In-Context Learning. EMNLP (Findings) Seongho Joo, Hyukhun Koh, Kyomin Jung
2025	J	`jnl`	Public Data Assisted Differentially Private In-Context Learning. CoRR Seongho Joo, Hyukhun Koh, Kyomin Jung
2025	A*	`conf`	ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection. EMNLP Jeonghye Kim, Sojeong Rhee, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, Kyomin Jung
2025	J	`jnl`	ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection. CoRR Jeonghye Kim, Sojeong Rhee, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, Kyomin Jung
2025	J	`jnl`	Rethinking Post-Unlearning Behavior of Large Vision-Language Models. CoRR Minsung Kim, Nakyeong Yang, Kyomin Jung
2025	B	`conf`	Return of EM: Entity-driven Answer Set Expansion for QA Evaluation. COLING Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, Kyomin Jung
2025	—	`conf`	SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models. NAACL (Findings) Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, Kyomin Jung
2025	J	`jnl`	TadaStride: Using time adaptive strides in audio data for effective downsampling. Comput. Speech Lang. Yoonhyung Lee, Kyomin Jung
2025	J	`jnl`	Training Dynamics of Parametric and In-Context Knowledge Utilization in Language Models. CoRR Minsung Kim, Dong-Kyum Kim, Jea Kwon, Nakyeong Yang, Kyomin Jung, Meeyoung Cha
2025	A	`conf`	Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time. CIKM Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, Kyomin Jung
2025	—	`conf`	VLind-Bench: Measuring Language Priors in Large Vision-Language Models. NAACL (Findings) Kang-il Lee, Minbeom Kim, Seunghyun Yoon, Minsung Kim, Dongryeol Lee, Hyukhun Koh, Kyomin Jung
2024	J	`jnl`	A Character-Centric Creative Story Generation via Imagination. CoRR Kyeongman Park, Minbeom Kim, Kyomin Jung
2024	A	`conf`	A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors. CIKM Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung
2024	J	`jnl`	AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence. CoRR Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung
2024	J	`jnl`	Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation. CoRR Dongryeol Lee, Yerin Hwang, Yongil Kim, Joonsuk Park, Kyomin Jung
2024	Misc	`conf`	Boosting Speech Enhancement with Clean Self-Supervised Features Via Conditional Variational Autoencoders. ICASSP Yoonhyung Lee, Kyomin Jung
2024	—	`conf`	Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric. EMNLP (Findings) Hyukhun Koh, Dohyung Kim, Minwoo Lee, Kyomin Jung
2024	J	`jnl`	Can LLMs Recognize Toxicity? Structured Toxicity Investigation Framework and Semantic-Based Metric. CoRR Hyukhun Koh, Dohyung Kim, Minwoo Lee, Kyomin Jung
2024	—	`conf`	Fine-grained Gender Control in Machine Translation with Large Language Models. NAACL-HLT Minwoo Lee, Hyukhun Koh, Minsung Kim, Kyomin Jung
2024	J	`jnl`	Fine-grained Gender Control in Machine Translation with Large Language Models. CoRR Minwoo Lee, Hyukhun Koh, Minsung Kim, Kyomin Jung
2024	J	`jnl`	Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages. IEEE Access Yongil Kim, Yerin Hwang, Hyunkyung Bae, Taegwan Kang, Kyomin Jung
2024	J	`jnl`	Generating Diverse Hypotheses for Inductive Reasoning. CoRR Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, Kyomin Jung
2024	J	`jnl`	Guaranteed Generation from Large Language Models. CoRR Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, Marc Dymetman
2024	—	`conf`	IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance. NAACL-HLT Yunah Jang, Kang-il Lee, Hyunkyung Bae, Hwanhee Lee, Kyomin Jung
2024	—	`conf`	Kosmic: Korean Text Similarity Metric Reflecting Honorific Distinctions. LREC/COLING Yerin Hwang, Yongil Kim, Hyunkyung Bae, Jeesoo Bang, Hwanhee Lee, Kyomin Jung
2024	J	`jnl`	Leveraging VQ-VAE tokenization for autoregressive modeling of medical time series. Artif. Intell. Medicine Yoonhyung Lee, Younhyung Chae, Kyomin Jung
2024	—	`conf`	LifeTox: Unveiling Implicit Toxicity in Life Advice. NAACL (Short Papers) Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung
2024	—	`conf`	LongStory: Coherent, Complete and Length Controlled Long Story Generation. PAKDD (2) Kyeongman Park, Nakyeong Yang, Kyomin Jung
2024	A*	`conf`	MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs. EMNLP Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, Kyomin Jung
2024	J	`jnl`	MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs. CoRR Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, Kyomin Jung
2024	—	`conf`	Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination. ACL (1) Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung
2024	J	`jnl`	Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding. CoRR Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, Kyomin Jung
2024	J	`jnl`	PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling. CoRR Hyukhun Koh, Minha Jhang, Dohyung Kim, Sangmook Lee, Kyomin Jung
2024	J	`jnl`	Persona is a Double-edged Sword: Enhancing the Zero-shot Reasoning by Ensembling the Role-playing and Neutral Prompts. CoRR Junseok Kim, Nakyeong Yang, Kyomin Jung
2024	J	`jnl`	Return of EM: Entity-driven Answer Set Expansion for QA Evaluation. CoRR Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, Kyomin Jung
2024	J	`jnl`	SKIP: Skill-Localized Prompt Tuning for Inference Speed Boost-Up. CoRR Nakyeong Yang, Junseok Kim, Jiwon Moon, Yunah Jang, Kyomin Jung
2024	J	`jnl`	SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models. CoRR Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, Kyomin Jung
2024	J	`jnl`	VLind-Bench: Measuring Language Priors in Large Vision-Language Models. CoRR Kang-il Lee, Minbeom Kim, Minsung Kim, Dongryeol Lee, Hyukhun Koh, Kyomin Jung
2023	—	`conf`	Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. EMNLP (Findings) Dongryeol Lee, Segwang Kim, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, Kyomin Jung
2023	J	`jnl`	Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. CoRR Dongryeol Lee, Segwang Kim, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, Kyomin Jung
2023	—	`conf`	BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking. ACL (1) Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han, Kyomin Jung
2023	J	`jnl`	CRISPR: Eliminating Bias Neurons from an Instruction-following Language Model. CoRR Nakyeong Yang, Taegwan Kang, Kyomin Jung
2023	—	`conf`	Critic-Guided Decoding for Controlled Text Generation. ACL (Findings) Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung
2023	A*	`conf`	DPP-TTS: Diversifying prosodic features of speech via determinantal point processes. EMNLP Seongho Joo, Hyukhun Koh, Kyomin Jung
2023	J	`jnl`	DPP-TTS: Diversifying prosodic features of speech via determinantal point processes. CoRR Seongho Joo, Hyukhun Koh, Kyomin Jung
2023	A*	`conf`	Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources. EMNLP Yerin Hwang, Yongil Kim, Hyunkyung Bae, Hwanhee Lee, Jeesoo Bang, Kyomin Jung
2023	J	`jnl`	Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources. CoRR Yerin Hwang, Yongil Kim, Hyunkyung Bae, Jeesoo Bang, Hwanhee Lee, Kyomin Jung
2023	—	`conf`	Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation. ACL (Findings) Yongil Kim, Yerin Hwang, Joongbo Shin, Hyunkyung Bae, Kyomin Jung
2023	J	`jnl`	IterCQR: Iterative Conversational Query Reformulation without Human Supervision. CoRR Yunah Jang, Kang-il Lee, Hyunkyung Bae, Seungpil Won, Hwanhee Lee, Kyomin Jung
2023	J	`jnl`	LifeTox: Unveiling Implicit Toxicity in Life Advice. CoRR Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung
2023	J	`jnl`	LongStory: Coherent, Complete and Length Controlled Long story Generation. CoRR Kyeongman Park, Nakyeong Yang, Kyomin Jung
2023	—	`conf`	MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty. ArgMining@EMNLP Yoonsang Lee, Dongryeol Lee, Kyomin Jung
2023	J	`jnl`	MVMR: Evaluating Natural Language Video Localization Bias over Multiple Reliable Videos Pool. CoRR Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung
2023	J	`jnl`	Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer. CoRR Hyukhun Koh, Haesung Pyun, Nakyeong Yang, Kyomin Jung
2023	—	`conf`	PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning. EMNLP (Findings) Yongil Kim, Yerin Hwang, Hyeongu Yun, Seunghyun Yoon, Trung Bui, Kyomin Jung
2023	J	`jnl`	PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning. CoRR Yongil Kim, Yerin Hwang, Hyeongu Yun, Seunghyun Yoon, Trung Bui, Kyomin Jung
2023	A*	`conf`	Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. EMNLP Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, Kyomin Jung
2023	J	`jnl`	Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. CoRR Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, Kyomin Jung
2023	—	`conf`	Task-specific Compression for Multi-task Language Models using Attribution-based Pruning. EACL (Findings) Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jeong, Kyomin Jung
2023	J	`jnl`	Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow. CoRR Yoonhyung Lee, Jinhyeok Yang, Kyomin Jung
2023	A*	`conf`	Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering. EMNLP Kang-il Lee, Segwang Kim, Kyomin Jung
2023	J	`jnl`	Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering. CoRR Kang-il Lee, Segwang Kim, Kyomin Jung
2022	J	`jnl`	Attribution-based Task-specific Pruning for Multi-task Language Models. CoRR Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jung, Kyomin Jung
2022	J	`jnl`	Critic-Guided Decoding for Controlled Text Generation. CoRR Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung
2022	Misc	`conf`	Deriving Explainable Discriminative Attributes Using Confusion About Counterfactual Class. ICASSP Nakyeong Yang, Taegwan Kang, Kyomin Jung
2022	J	`jnl`	Factual Error Correction for Abstractive Summaries Using Entity Retrieval. CoRR Hwanhee Lee, Cheon-Eum Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Juae Kim, Kyomin Jung
2022	J	`jnl`	Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction. IEEE Access Taegwan Kang, Segwang Kim, Hyeongu Yun, Hwanhee Lee, Kyomin Jung
2022	—	`conf`	Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model. DialDoc@ACL Yunah Jang, Dongryeol Lee, Hyung Joo Park, Taegwan Kang, Hwanhee Lee, Hyunkyung Bae, Kyomin Jung
2022	—	`conf`	Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. NAACL-HLT (Findings) Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung
2022	J	`jnl`	Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. CoRR Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung
2022	B	`conf`	Modality Alignment between Deep Representations for Effective Video-and-Language Learning. LREC Hyeongu Yun, Yongil Kim, Kyomin Jung
2022	J	`jnl`	Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text. CoRR Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung
2022	Misc	`conf`	Subgraph Representation Learning with Hard Negative Samples for Inductive Link Prediction. ICASSP Heeyoung Kwak, Hyunkyung Bae, Kyomin Jung
2022	Misc	`conf`	Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow. ICASSP Yoonhyung Lee, Jinhyeok Yang, Kyomin Jung
2021	—	`conf`	Air Quality Prediction with 1-Dimensional Convolution and Attention on Multi-modal Features. BigComp Junyoung Choi, Joonyoung Kim, Kyomin Jung
2021	A*	`conf`	Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech. ICLR Yoonhyung Lee, Joongbo Shin, Kyomin Jung
2021	J	`jnl`	Compositional Generalization via Parsing Tree Annotation. IEEE Access Segwang Kim, Joonyoung Kim, Kyomin Jung
2021	—	`conf`	Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information. WMT@EMNLP Yongkeun Hwang, Hyeongu Yun, Kyomin Jung
2021	J	`jnl`	Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information. CoRR Yongkeun Hwang, Hyungu Yun, Kyomin Jung
2021	A	`conf`	CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. CIKM Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung
2021	J	`jnl`	CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. CoRR Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung
2021	A*	`conf`	Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation. SIGIR Taegwan Kang, Hwanhee Lee, Byeongjin Choe, Kyomin Jung
2021	J	`jnl`	Homeostasis-Inspired Continual Learning: Learning to Control Structural Regularization. IEEE Access Joonyoung Kim, Hyowoon Seo, Wan Choi, Kyomin Jung
2021	J	`jnl`	Interpretable disease prediction using heterogeneous patient records with self-attentive fusion encoder. J. Am. Medical Informatics Assoc. Heeyoung Kwak, Jooyoung Chang, Byeongjin Choe, Sang Min Park, Kyomin Jung
2021	—	`conf`	KPQA: A Metric for Generative Question Answering Using Keyphrase Weights. NAACL-HLT Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung
2021	J	`jnl`	Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network. IEEE Access Seunghyun Yoon, Kunwoo Park, Minwoo Lee, Taegyun Kim, Meeyoung Cha, Kyomin Jung
2021	A*	`conf`	Neural Sequence-to-grid Module for Learning Symbolic Rules. AAAI Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung
2021	J	`jnl`	Neural Sequence-to-grid Module for Learning Symbolic Rules. CoRR Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung
2021	J	`jnl`	Pairwise Context Similarity for Image Retrieval System Using Variational Auto-Encoder. IEEE Access Hyeongu Yun, Yongil Kim, Taegwan Kang, Kyomin Jung
2021	J	`jnl`	Partition-Merge: Distributed Inference and Modularity Optimization. IEEE Access Vincent D. Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah, Seungpil Won
2021	—	`conf`	QACE: Asking Questions to Evaluate an Image Caption. EMNLP (Findings) Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung
2021	J	`jnl`	QACE: Asking Questions to Evaluate an Image Caption. CoRR Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung
2021	A	`conf`	RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction. CIKM Taegwan Kang, Minwoo Lee, Nakyeong Yang, Kyomin Jung
2021	J	`jnl`	Recommendation System With Hierarchical Recurrent Neural Network for Long-Term Time Series. IEEE Access Byeongjin Choe, Taegwan Kang, Kyomin Jung
2021	—	`conf`	Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation. SemEval@ACL/IJCNLP Sangwon Yoon, Yanghoon Kim, Kyomin Jung
2021	—	`conf`	UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning. ACL/IJCNLP (2) Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Kyomin Jung
2021	J	`jnl`	UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning. CoRR Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Kyomin Jung
2020	Misc	`conf`	Attentive Modality Hopping Mechanism for Speech Emotion Recognition. ICASSP Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, Kyomin Jung
2020	J	`jnl`	BaitWatcher: A lightweight web interface for the detection of incongruent news headlines. CoRR Kunwoo Park, Taegyun Kim, Seunghyun Yoon, Meeyoung Cha, Kyomin Jung
2020	J	`jnl`	Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation. CoRR Yanghoon Kim, Seungpil Won, Seunghyun Yoon, Kyomin Jung
2020	J	`jnl`	Collaborative Training of Gans in Continuous and Discrete Spaces for Text Generation. IEEE Access Yanghoon Kim, Seungpil Won, Seunghyun Yoon, Kyomin Jung
2020	J	`jnl`	Comparative studies on machine learning for paralinguistic signal compression and classification. J. Supercomput. Seokhyun Byun, Seunghyun Yoon, Kyomin Jung
2020	J	`jnl`	DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator. CoRR Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung
2020	—	`conf`	Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data. PAKDD (2) Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sang Min Park, Kyomin Jung
2020	J	`jnl`	Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data. CoRR Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sang Min Park, Kyomin Jung
2020	A*	`conf`	Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning. ACL Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung
2020	J	`jnl`	Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning. CoRR Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung
2020	A*	`conf`	Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding. AAAI Hyeongu Yun, Yongkeun Hwang, Kyomin Jung
2020	J	`jnl`	KPQA: A Metric for Generative Question Answering Using Word Weights. CoRR Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung
2020	A	`conf`	Multimodal Speech Emotion Recognition Using Cross Attention with Aligned Audio and Text. INTERSPEECH Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung
2020	B	`conf`	Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks. LREC Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung
2020	—	`conf`	Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing. PAKDD (2) Joonyoung Kim, Donghyeon Lee, Kyomin Jung
2020	—	`conf`	STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach. IntelliSys (2) Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, Junyoung Choi, Insoon Yang, Kyomin Jung, Sang-Kyun Cha
2020	—	`conf`	ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT. Eval4NLP Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung
2019	A	`conf`	A Compare-Aggregate Model with Latent Clustering for Answer Selection. CIKM Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung
2019	J	`jnl`	A Compare-Aggregate Model with Latent Clustering for Answer Selection. CoRR Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung
2019	J	`jnl`	Attentive Modality Hopping Mechanism for Speech Emotion Recognition. CoRR Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, Kyomin Jung
2019	A*	`conf`	Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder. AAAI Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung
2019	C	`conf`	Effective Sentence Scoring Method Using BERT for Speech Recognition. ACML Joonbo Shin, Yoonhyung Lee, Kyomin Jung
2019	J	`jnl`	Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition. CoRR Joongbo Shin, Yoonhyung Lee, Kyomin Jung
2019	A*	`conf`	Improving Neural Question Generation Using Answer Separation. AAAI Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung
2019	—	`conf`	MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis. SemEval@NAACL-HLT Yoonhyung Lee, Yanghoon Kim, Kyomin Jung
2019	—	`conf`	Neural Networks for Compressing and Classifying Speaker-Independent Paralinguistic Signals. BigComp Seokhyun Byun, Seunghyun Yoon, Kyomin Jung
2019	A*	`conf`	Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks. AAAI Hyoungwook Nam, Segwang Kim, Kyomin Jung
2019	J	`jnl`	Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks. CoRR Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung
2019	J	`jnl`	Revisiting Stochastic Loss Networks: Structures and Approximations. Math. Oper. Res. Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
2019	J	`jnl`	Speech Emotion Recognition Using Multi-Hop Attention Mechanism. CoRR Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey, Kyomin Jung
2019	Misc	`conf`	Speech Emotion Recognition Using Multi-hop Attention Mechanism. ICASSP Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey, Kyomin Jung
2019	—	`conf`	Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model. BioNLP@ACL Jiin Nam, Seunghyun Yoon, Kyomin Jung
2019	J	`jnl`	Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model. CoRR Jiin Nam, Seunghyun Yoon, Kyomin Jung
2018	—	`conf`	AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification. SemEval@NAACL-HLT Yanghoon Kim, Hwanhee Lee, Kyomin Jung
2018	J	`jnl`	AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification. CoRR Yanghoon Kim, Hwanhee Lee, Kyomin Jung
2018	—	`conf`	Comparative Studies of Detecting Abusive Language on Twitter. ALW Younghun Lee, Seunghyun Yoon, Kyomin Jung
2018	J	`jnl`	Comparative Studies of Detecting Abusive Language on Twitter. CoRR Younghun Lee, Seunghyun Yoon, Kyomin Jung
2018	—	`conf`	Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification. BigComp Joongbo Shin, Yanghoon Kim, Seunghyun Yoon, Kyomin Jung
2018	J	`jnl`	Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder. CoRR Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung
2018	J	`jnl`	Improving Neural Question Generation using Answer Separation. CoRR Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung
2018	—	`conf`	Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering. NAACL-HLT Seunghyun Yoon, Joongbo Shin, Kyomin Jung
2018	A	`conf`	Multi-scale Nystrom Method. AISTATS Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park
2018	—	`conf`	Multimodal Speech Emotion Recognition Using Audio and Text. SLT Seunghyun Yoon, Seokhyun Byun, Kyomin Jung
2018	J	`jnl`	Multimodal Speech Emotion Recognition Using Audio and Text. CoRR Seunghyun Yoon, Seokhyun Byun, Kyomin Jung
2018	J	`jnl`	Number Sequence Prediction Problems and Computational Powers of Neural Network Models. CoRR Hyoungwook Nam, Segwang Kim, Kyomin Jung
2017	—	`conf`	Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network. AAAI Workshops Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, Kyomin Jung
2017	J	`jnl`	Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network. CoRR Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, Kyomin Jung
2017	J	`jnl`	Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering. CoRR Seunghyun Yoon, Joongbo Shin, Kyomin Jung
2017	J	`jnl`	Synonym Discovery with Etymology-based Word Embeddings. CoRR Seunghyun Yoon, Pablo Estrada, Kyomin Jung
2017	—	`conf`	Synonym discovery with etymology-based word embeddings. SSCI Seunghyun Yoon, Pablo Estrada, Kyomin Jung
2016	—	`conf`	Automatic Question Answering System for Consumer Products. IntelliSys (2) Seunghyun Yoon, Mohan Sundar, Abhishek Gupta, Kyomin Jung
2015	—	`conf`	Deep Learning for the Web. WWW (Companion Volume) Kyomin Jung, Byoung-Tak Zhang, Prasenjit Mitra
2015	A*	`conf`	Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets. ICML Woosang Lim, Minhwan Kim, Haesun Park, Kyomin Jung
2015	A	`conf`	Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts. UAI Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, Pushmeet Kohli
2015	A*	`conf`	Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems. SIGMETRICS Donghyeon Lee, Joonyoung Kim, Hyunmin Lee, Kyomin Jung
2014	J	`jnl`	Efficient Energy Minimization for Enforcing Label Statistics. IEEE Trans. Pattern Anal. Mach. Intell. Yongsub Lim, Kyomin Jung, Pushmeet Kohli
2014	J	`jnl`	Fully Distributed Algorithms for Minimum Delay Routing Under Heavy Traffic. IEEE Trans. Mob. Comput. Sang-Woon Jeon, Kyomin Jung, Hyunseok Chang
2014	A*	`conf`	LinkSCAN*: Overlapping community detection using the link-space transformation. ICDE Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, Jae-Gil Lee
2014	J	`jnl`	Modelling multi-state diffusion process in complex networks: theory and applications. J. Complex Networks Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim
2014	J	`jnl`	Stability of the Max-Weight Protocol in Adversarial Wireless Networks. IEEE/ACM Trans. Netw. Sungsu Lim, Kyomin Jung, Matthew Andrews
2013	—	`conf`	Aspects of Rumor Spreading on a Microblog Network. SocInfo Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, Yajun Wang
2013	J	`jnl`	Efficient Energy Minimization for Enforcing Statistics. CoRR Yongsub Lim, Kyomin Jung, Pushmeet Kohli
2013	—	`conf`	Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications. SITIS Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim
2013	J	`jnl`	Multi-dimensional Parametric Mincuts for Constrained MAP Inference. CoRR Yongsub Lim, Kyomin Jung, Pushmeet Kohli
2013	J	`jnl`	Partition-Merge: Distributed Inference and Modularity Optimization. CoRR Vincent D. Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah
2013	J	`jnl`	Phase transition of multi-state diffusion process in networks. SIGMETRICS Perform. Evaluation Rev. Sungsu Lim, Kyomin Jung, John C. S. Lui
2013	A*	`conf`	Prominent Features of Rumor Propagation in Online Social Media. ICDM Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, Yajun Wang
2012	B	`conf`	Distributed ranking in networks with limited memory and communication. ISIT Kyomin Jung, Bo Young Kim, Milan Vojnovic
2012	A*	`conf`	IRIE: Scalable and Robust Influence Maximization in Social Networks. ICDM Kyomin Jung, Wooram Heo, Wei Chen
2012	J	`jnl`	Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners. SIAM J. Discret. Math. Arnab Bhattacharyya, Elena Grigorescu, Madhav Jha, Kyomin Jung, Sofya Raskhodnikova, David P. Woodruff
2012	J	`jnl`	Stability of the Max-Weight Protocol in Adversarial Wireless Networks CoRR Sungsu Lim, Kyomin Jung, Matthew Andrews
2012	A*	`conf`	Stability of the Max-Weight protocol in adversarial wireless networks. INFOCOM Sungsu Lim, Kyomin Jung, Matthew Andrews
2012	J	`jnl`	Transitive-Closure Spanners. SIAM J. Comput. Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, David P. Woodruff
2011	J	`jnl`	Almost tight upper bound for finding Fourier coefficients of bounded pseudo-Boolean functions. J. Comput. Syst. Sci. Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
2011	J	`jnl`	IRIE: A Scalable Influence Maximization Algorithm for Independent Cascade Model and Its Extensions CoRR Kyomin Jung, Wooram Heo, Wei Chen
2010	J	`jnl`	A local decision test for sparse polynomials. Inf. Process. Lett. Elena Grigorescu, Kyomin Jung, Ronitt Rubinfeld
2010	A*	`conf`	Coalitional Structure Generation in Skill Games. AAAI Yoram Bachrach, Reshef Meir, Kyomin Jung, Pushmeet Kohli
2010	J	`jnl`	Distributed averaging via lifted Markov chains. IEEE Trans. Inf. Theory Kyomin Jung, Devavrat Shah, Jinwoo Shin
2010	—	`conf`	Energy Minimization under Constraints on Label Counts. ECCV (2) Yongsub Lim, Kyomin Jung, Pushmeet Kohli
2010	—	`conf`	Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners. APPROX-RANDOM Arnab Bhattacharyya, Elena Grigorescu, Madhav Jha, Kyomin Jung, Sofya Raskhodnikova, David P. Woodruff
2010	B	`conf`	Scene Text Extraction with Edge Constraint and Text Collinearity. ICPR Seonghun Lee, Min Su Cho, Kyomin Jung, Jin Hyung Kim
2009	A*	`conf`	Computing the Capacity Region of a Wireless Network. INFOCOM Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, Ramavarapu S. Sreenivas
2009	J	`jnl`	Distributed Averaging via Lifted Markov Chains CoRR Kyomin Jung, Devavrat Shah, Jinwoo Shin
2009	—	`conf`	Local Rules for Global MAP: When Do They Work ? NIPS Kyomin Jung, Pushmeet Kohli, Devavrat Shah
2009	J	`jnl`	Lower and Upper Bounds for Linkage Discovery. IEEE Trans. Evol. Comput. Sung-Soon Choi, Kyomin Jung, Byung Ro Moon
2009	J	`jnl`	Transitive-Closure Spanners of the Hypercube and the Hypergrid. Electron. Colloquium Comput. Complex. Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, David P. Woodruff
2009	A*	`conf`	Transitive-closure spanners. SODA Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, David P. Woodruff
2008	A*	`conf`	Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo- Boolean Functions. COLT Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
2008	A*	`conf`	Feasible Rate Allocation in Wireless Networks. INFOCOM Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, Ramavarapu S. Sreenivas
2008	J	`jnl`	Phase transition in a random NK landscape model. Artif. Intell. Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
2008	A*	`conf`	Revisiting stochastic loss networks: structures and algorithms. SIGMETRICS Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
2008	J	`jnl`	Transitive-Closure Spanners CoRR Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, David P. Woodruff
2007	—	`conf`	Local Algorithms for Approximate Inference in Minor-Excluded Graphs. NIPS Kyomin Jung, Devavrat Shah
2007	B	`conf`	Low Delay Scheduling in Wireless Network. ISIT Kyomin Jung, Devavrat Shah
2007	A*	`conf`	Stability of the max-weight routing and scheduling protocol in dynamic networks and at critical loads. STOC Matthew Andrews, Kyomin Jung, Alexander L. Stolyar
2006	B	`conf`	Fast Gossip via Non-reversible Random Walk. ITW Kyomin Jung, Devavrat Shah
2006	J	`jnl`	Local approximate inference algorithms CoRR Kyomin Jung, Devavrat Shah
2005	A	`conf`	Phase transition in a random NK landscape model. GECCO Sung-Soon Choi, Kyomin Jung, Jeong Han Kim