Junkyu Lee - RankMe

49 papers A* 15A 4B 5Misc 1Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentics 2.0: Logical Transduction Algebra for Agentic Data Workflows. CoRR Alfio Massimiliano Gliozzo, Junkyu Lee, Nahuel Defosse
2025	J	`jnl`	DAO-AI: Evaluating Collective Decision-Making through Agentic AI in Decentralized Governance. CoRR Agostino Capponi, Alfio Gliozzo, Chunghyun Han, Junkyu Lee
2025	—	`conf`	Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks. ISIPTA Fábio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander Gray, Denis Deratani Mauá
2025	—	`conf`	FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models. EMNLP (Findings) Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth M. Daly, Alessandra Pascale
2025	J	`jnl`	FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models. CoRR Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth Daly, Alessandra Pascale
2025	J	`jnl`	Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models. CoRR João P. Arroyo, João G. Rodrigues, Daniel Angelo Esteves Lawand, Denis Deratani Mauá, Junkyu Lee, Radu Marinescu, Alexander G. Gray, Eduardo R. Laurentino, Fábio G. Cozman
2025	A	`conf`	Q-function Decomposition with Intervention Semantics for Factored Action Spaces. AISTATS Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu
2025	J	`jnl`	Q-function Decomposition with Intervention Semantics with Factored Action Spaces. CoRR Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu
2025	J	`jnl`	Rationalization Models for Text-to-SQL. CoRR Gaetano Rossiello, Nhan Pham, Michael R. Glass, Junkyu Lee, Dharmashankar Subramanian
2025	—	`conf`	SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models. EMNLP (Findings) Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou
2025	J	`jnl`	SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models. CoRR Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou
2025	A	`conf`	The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. UAI Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2025	J	`jnl`	The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. CoRR Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2025	J	`jnl`	Transduction is All You Need for Structured Data Workflows. CoRR Alfio Gliozzo, Naweed Khan, Christodoulos Constantinides, Nandana Mihindukulasooriya, Nahuel Defosse, Junkyu Lee
2024	A*	`conf`	Abductive Reasoning in Logical Credal Networks. NeurIPS Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fábio G. Cozman, Alexander G. Gray
2024	J	`jnl`	Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning. CoRR Debarun Bhattacharjya, Junkyu Lee, Don Joven Agravante, Balaji Ganesan, Radu Marinescu
2024	A*	`conf`	Large Language Models as Planning Domain Generators (Student Abstract). AAAI James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024	A*	`conf`	Large Language Models as Planning Domain Generators. ICAPS James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024	J	`jnl`	Large Language Models as Planning Domain Generators. CoRR James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024	J	`jnl`	Markov conditions and factorization in logical credal networks. Int. J. Approx. Reason. Fábio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander G. Gray, Ryan Riegel, Debarun Bhattacharjya
2024	A*	`conf`	Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). AAAI Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi
2024	B	`conf`	Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning. SOCS Michael Katz, Junkyu Lee, Jungkoo Kang, Shirin Sohrabi
2024	J	`jnl`	Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning. CoRR Michael Katz, Junkyu Lee, Jungkoo Kang, Shirin Sohrabi
2024	A*	`conf`	Unifying and Certifying Top-Quality Planning. ICAPS Michael Katz, Junkyu Lee, Shirin Sohrabi
2024	J	`jnl`	Unifying and Certifying Top-Quality Planning. CoRR Michael Katz, Junkyu Lee, Shirin Sohrabi
2023	A*	`conf`	Action Space Reduction for Planning Domains. IJCAI Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2023	A*	`conf`	Credal Marginal MAP. NeurIPS Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fábio G. Cozman, Alexander G. Gray
2023	B	`conf`	Generating SAS+ Planning Tasks of Specified Causal Structure. SOCS Michael Katz, Junkyu Lee, Shirin Sohrabi
2023	A*	`conf`	K∗ Search over Orbit Space for Top-k Planning. IJCAI Michael Katz, Junkyu Lee
2023	B	`conf`	K∗ and Partial Order Reduction for Top-Quality Planning. SOCS Michael Katz, Junkyu Lee
2023	B	`conf`	On K* Search for Top-K Planning. SOCS Junkyu Lee, Michael Katz, Shirin Sohrabi
2022	J	`jnl`	AI Planning Annotation for Sample Efficient Reinforcement Learning. CoRR Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro
2022	A*	`conf`	How to Reduce Action Space for Planning Domains? (Student Abstract). AAAI Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2021	A*	`conf`	A New Bounding Scheme for Influence Diagrams. AAAI Radu Marinescu, Junkyu Lee, Rina Dechter
2021	A*	`conf`	Submodel Decomposition Bounds for Influence Diagrams. AAAI Junkyu Lee, Radu Marinescu, Rina Dechter
2020	—	`—`	Decomposition Bounds for Influence Diagrams. Junkyu Lee
2020	B	`conf`	Heuristic AND/OR Search for Solving Influence Diagram. SOCS Junkyu Lee, Radu Marinescu, Rina Dechter
2020	A*	`conf`	Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract). AAAI Junkyu Lee
2019	A	`conf`	A Weighted Mini-Bucket Bound for Solving Influence Diagram. UAI Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter
2018	J	`jnl`	AND/OR Search for Marginal MAP. J. Artif. Intell. Res. Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander Ihler
2018	—	`conf`	Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall. AAAI Workshops Junkyu Lee, Alexander Ihler, Rina Dechter
2018	A	`conf`	Join Graph Decomposition Bounds for Influence Diagrams. UAI Junkyu Lee, Alexander Ihler, Rina Dechter
2018	A*	`conf`	Probabilistic Planning With Influence Diagrams. AAAI Junkyu Lee
2017	A*	`conf`	Anytime Best+Depth-First Search for Bounding Marginal MAP. AAAI Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter
2016	Misc	`conf`	Applying Search Based Probabilistic Inference Algorithms to Probabilistic Conformant Planning: Preliminary Results. ISAIM Junkyu Lee, Radu Marinescu, Rina Dechter
2016	A*	`conf`	From Exact to Anytime Solutions for Marginal MAP. AAAI Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler
2014	—	`conf`	Applying Marginal MAP Search to Probabilistic Conformant Planning: Initial Results. StarAI@AAAI Junkyu Lee, Radu Marinescu, Rina Dechter
2006	—	`conf`	A Novel Spectrum Sharing Scheme Using Relay Station with Intelligent Reception. KES (3) Jaehwan Kim, Junkyu Lee, Joonhyuk Kang
2006	J	`jnl`	High speed transmission for a coaxial cable based in-home network. IEEE Trans. Consumer Electron. Kwanghoon Kim, Junkyu Lee, Yusung Lee, Joonhyuk Kang, Hyuncheol Park