Jae Hee Lee - RankMe

65 papers A* 9A 7B 1Journal 33Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings. CoRR Gesina Schwalbe, Mert Keser, Moritz Bayerkuhnlein, Edgar Heinert, Annika Mütze, Marvin Keller, Sparsh Tiwari, Georgii Mikriukov, Diedrich Wolter, Jae Hee Lee, Matthias Rottmann
2026	—	`conf`	Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities. EACL (Volume 1: Long Papers) Hans Hergen Lehmann, Jae Hee Lee, Steven Schockaert, Stefan Wermter
2025	J	`jnl`	Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities. CoRR Hans Hergen Lehmann, Jae Hee Lee, Steven Schockaert, Stefan Wermter
2025	J	`jnl`	Mental Modelling of Reinforcement Learning Agents by Language Models. Trans. Mach. Learn. Res. Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter
2025	—	`ed.`	Proceedings of the 4th International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2025) co-located with the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), Montreal, Canada, August 16, 2025. STRL@IJCAI Parisa Kordjamshidi, Jae Hee Lee, Mehul Bhatt, Michael Sioutis, Xun Gong, Zhiguo Long
2025	J	`jnl`	Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective. CoRR Jae Hee Lee, Anne Lauscher, Stefano V. Albrecht
2024	—	`conf`	Causal State Distillation for Explainable Reinforcement Learning. CLeaR Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter
2024	J	`jnl`	Causal State Distillation for Explainable Reinforcement Learning. CoRR Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter
2024	—	`conf`	Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? ECCV Workshops (21) Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter
2024	J	`jnl`	Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? CoRR Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter
2024	—	`conf`	Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. ICANN (4) Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter
2024	J	`jnl`	Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. CoRR Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter
2024	—	`conf`	Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. LREC/COLING Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter
2024	J	`jnl`	Mental Modeling of Reinforcement Learning Agents by Language Models. CoRR Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter
2024	—	`ed.`	Proceedings of the 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju island, South Korea, August 5, 2024. STRL@IJCAI Parisa Kordjamshidi, Jae Hee Lee, Mehul Bhatt, Michael Sioutis, Zhiguo Long
2024	J	`jnl`	Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. Trans. Mach. Learn. Res. Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter
2023	J	`jnl`	Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. CoRR Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter
2023	J	`jnl`	From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks. CoRR Jae Hee Lee, Sergio Lanza, Stefan Wermter
2023	A*	`conf`	Internally Rewarded Reinforcement Learning. ICML Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter
2023	J	`jnl`	Internally Rewarded Reinforcement Learning. CoRR Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter
2023	J	`jnl`	Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning. IEEE Trans. Cogn. Dev. Syst. Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
2023	J	`jnl`	Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. CoRR Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter
2023	J	`jnl`	Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input. Appl. Artif. Intell. Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter
2023	—	`ch.`	Neuro-Symbolic Spatio-Temporal Reasoning. Compendium of Neurosymbolic Artificial Intelligence Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter
2023	—	`ed.`	Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R., August 21, 2023. STRL@IJCAI Michael Sioutis, Zhiguo Long, Jae Hee Lee, Mehul Bhatt
2023	J	`jnl`	Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. CoRR Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter
2023	—	`conf`	Visually Grounded Continual Language Learning with Selective Specialization. EMNLP (Findings) Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter
2023	J	`jnl`	Visually Grounded Continual Language Learning with Selective Specialization. CoRR Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter
2022	J	`jnl`	Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations. CoRR Björn Plüster, Jakob Ambsdorf, Lukas Braach, Jae Hee Lee, Stefan Wermter
2022	—	`conf`	Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning. STRL@IJCAI Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter
2022	J	`jnl`	Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter
2022	J	`jnl`	Language Model-Based Paired Variational Autoencoders for Robotic Language Learning. CoRR Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
2022	—	`conf`	Learning Flexible Translation Between Robot Actions and Language Descriptions. ICANN (2) Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
2022	J	`jnl`	Learning Flexible Translation between Robot Actions and Language Descriptions. CoRR Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
2022	—	`conf`	More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning. ICANN (3) Caspar Volquardsen, Jae Hee Lee, Cornelius Weber, Stefan Wermter
2022	J	`jnl`	Neuro-Symbolic Spatio-Temporal Reasoning. CoRR Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter
2022	J	`jnl`	Spatial relation learning in complementary scenarios with deep neural networks. Frontiers Neurorobotics Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter
2022	A*	`conf`	What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. IJCAI Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter
2022	J	`jnl`	What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter
2021	B	`conf`	Generalization in Multimodal Language Learning from Simulation. IJCNN Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter
2021	J	`jnl`	Generalization in Multimodal Language Learning from Simulation. CoRR Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter
2021	A	`conf`	Robotic Occlusion Reasoning for Efficient Object Existence Prediction. IROS Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter
2021	J	`jnl`	Robotic Occlusion Reasoning for Efficient Object Existence Prediction. CoRR Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter
2020	A	`conf`	Capturing Word Order in Averaging Based Sentence Embeddings. ECAI Jae Hee Lee, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert
2020	A*	`conf`	Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. IJCAI Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
2020	J	`jnl`	Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. CoRR Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
2018	J	`jnl`	A new distributed algorithm for efficient generalized arc-consistency propagation. Auton. Agents Multi Agent Syst. Shufeng Kong, Jae Hee Lee, Sanjiang Li
2018	A*	`conf`	Multiagent Simple Temporal Problem: The Arc-Consistency Approach. AAAI Shufeng Kong, Jae Hee Lee, Sanjiang Li
2017	A	`conf`	A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints. AAMAS Shufeng Kong, Jae Hee Lee, Sanjiang Li
2017	J	`jnl`	A Survey of Qualitative Spatial and Temporal Calculi: Algebraic and Computational Properties. ACM Comput. Surv. Frank Dylla, Jae Hee Lee, Till Mossakowski, Thomas Schneider, André van Delden, Jasper van de Ven, Diedrich Wolter
2017	J	`jnl`	Multiagent Simple Temporal Problem: The Arc-Consistency Approach. CoRR Shufeng Kong, Jae Hee Lee, Sanjiang Li
2016	J	`jnl`	A Survey of Qualitative Spatial and Temporal Calculi - Algebraic and Computational Properties. CoRR Frank Dylla, Jae Hee Lee, Till Mossakowski, Thomas Schneider, André van Delden, Jasper van de Ven, Diedrich Wolter
2016	A*	`conf`	Connecting Qualitative Spatial and Temporal Representations by Propositional Closure. IJCAI Diedrich Wolter, Jae Hee Lee
2016	A	`conf`	Hole in One: Using Qualitative Reasoning for Solving Hard Physical Puzzle Problems. ECAI Xiaoyu Ge, Jae Hee Lee, Jochen Renz, Peng Zhang
2016	A	`conf`	On Redundancy in Simple Temporal Networks. ECAI Jae Hee Lee, Sanjiang Li, Zhiguo Long, Michael Sioutis
2016	A*	`conf`	Trend-Based Prediction of Spatial Change. IJCAI Xiaoyu Ge, Jae Hee Lee, Jochen Renz, Peng Zhang
2015	A*	`conf`	From Raw Sensor Data to Detailed Spatial Knowledge. IJCAI Peng Zhang, Jae Hee Lee, Jochen Renz
2015	A*	`conf`	Qualitative Reasoning about Directions in Semantic Spaces. IJCAI Steven Schockaert, Jae Hee Lee
2014	A	`conf`	The Complexity of Reasoning with Relative Directions. ECAI Jae Hee Lee
2013	—	`—`	Qualitative reasoning about relative directions: computational complexity and practical algorithm. Jae Hee Lee
2013	A*	`conf`	StarVars - Effective Reasoning about Relative Directions. IJCAI Jae Hee Lee, Jochen Renz, Diedrich Wolter
2011	—	`conf`	CLP(QS): A Declarative Spatial Reasoning Framework. COSIT Mehul Bhatt, Jae Hee Lee, Carl Schultz
2010	A	`conf`	A Combined Calculus on Orientation with Composition Based on Geometric Properties. ECAI Frank Dylla, Jae Hee Lee
2010	J	`jnl`	Cylindrical algebraic decomposition for reasoning about qualitative spatial knowledge. ACM Commun. Comput. Algebra Jae Hee Lee
2010	J	`jnl`	Qualitative reasoning with directional relations. Artif. Intell. Diedrich Wolter, Jae Hee Lee