Jae Hee Lee

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 39

Top Venues

CoRR

IJCAI

ECAI

IEEE Trans. Cogn. Dev. Syst.

University of Bremen (PHD)

Education History

University of Bremen

PHD

Publications

Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter
Causal State Distillation for Explainable Reinforcement Learning. CLeaR (2024)
Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. CoRR (2024)
Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter
Causal State Distillation for Explainable Reinforcement Learning. CoRR (2024)
Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter
Mental Modeling of Reinforcement Learning Agents by Language Models. CoRR (2024)
Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. LREC/COLING (2024)
Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. Trans. Mach. Learn. Res. 2024 (2024)
Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. CoRR (2023)
Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter
Visually Grounded Continual Language Learning with Selective Specialization. EMNLP (Findings) (2023)
Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning. IEEE Trans. Cogn. Dev. Syst. 15 (4) (2023)
Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. CoRR (2023)
Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter
Internally Rewarded Reinforcement Learning. CoRR (2023)
Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter
Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input. Appl. Artif. Intell. 37 (1) (2023)
Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter
Internally Rewarded Reinforcement Learning. ICML (2023)
Jae Hee Lee, Sergio Lanza, Stefan Wermter
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks. CoRR (2023)
Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter
Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. CoRR (2023)
Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter
Visually Grounded Continual Language Learning with Selective Specialization. CoRR (2023)
Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR (2022)
Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
Learning Flexible Translation between Robot Actions and Language Descriptions. CoRR (2022)
Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
Learning Flexible Translation Between Robot Actions and Language Descriptions. ICANN (2) (2022)
Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter
Spatial relation learning in complementary scenarios with deep neural networks. Frontiers Neurorobotics 16 (2022)
Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR (2022)
Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter
Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning. STRL@IJCAI (2022)
Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter
Neuro-Symbolic Spatio-Temporal Reasoning. CoRR (2022)
Björn Plüster, Jakob Ambsdorf, Lukas Braach, Jae Hee Lee, Stefan Wermter
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations. CoRR (2022)
Caspar Volquardsen, Jae Hee Lee, Cornelius Weber, Stefan Wermter
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning. ICANN (3) (2022)
Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. IJCAI (2022)
Jae Hee Lee, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert
Capturing Word Order in Averaging Based Sentence Embeddings. ECAI (2020)
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. CoRR (2020)
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. IJCAI (2020)
Shufeng Kong, Jae Hee Lee, Sanjiang Li
A new distributed algorithm for efficient generalized arc-consistency propagation. Auton. Agents Multi Agent Syst. 32 (5) (2018)
Shufeng Kong, Jae Hee Lee, Sanjiang Li
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. AAAI (2018)
Shufeng Kong, Jae Hee Lee, Sanjiang Li
A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints. AAMAS (2017)
Frank Dylla, Jae Hee Lee, Till Mossakowski, Thomas Schneider, André van Delden, Jasper van de Ven, Diedrich Wolter
A Survey of Qualitative Spatial and Temporal Calculi: Algebraic and Computational Properties. ACM Comput. Surv. 50 (1) (2017)
Shufeng Kong, Jae Hee Lee, Sanjiang Li
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. CoRR (2017)
Diedrich Wolter, Jae Hee Lee
Connecting Qualitative Spatial and Temporal Representations by Propositional Closure. IJCAI (2016)
Xiaoyu Ge, Jae Hee Lee, Jochen Renz, Peng Zhang
Hole in One: Using Qualitative Reasoning for Solving Hard Physical Puzzle Problems. ECAI (2016)
Frank Dylla, Jae Hee Lee, Till Mossakowski, Thomas Schneider, André van Delden, Jasper van de Ven, Diedrich Wolter
A Survey of Qualitative Spatial and Temporal Calculi - Algebraic and Computational Properties. CoRR (2016)
Xiaoyu Ge, Jae Hee Lee, Jochen Renz, Peng Zhang
Trend-Based Prediction of Spatial Change. IJCAI (2016)
Jae Hee Lee, Sanjiang Li, Zhiguo Long, Michael Sioutis
On Redundancy in Simple Temporal Networks. ECAI (2016)
Peng Zhang, Jae Hee Lee, Jochen Renz
From Raw Sensor Data to Detailed Spatial Knowledge. IJCAI (2015)
Steven Schockaert, Jae Hee Lee
Qualitative Reasoning about Directions in Semantic Spaces. IJCAI (2015)
Jae Hee Lee
The Complexity of Reasoning with Relative Directions. ECAI (2014)
Jae Hee Lee, Jochen Renz, Diedrich Wolter
StarVars - Effective Reasoning about Relative Directions. IJCAI (2013)
Mehul Bhatt, Jae Hee Lee, Carl P. L. Schultz
CLP(QS): A Declarative Spatial Reasoning Framework. COSIT (2011)
Frank Dylla, Jae Hee Lee
A Combined Calculus on Orientation with Composition Based on Geometric Properties. ECAI (2010)
Jae Hee Lee
Cylindrical algebraic decomposition for reasoning about qualitative spatial knowledge. ACM Commun. Comput. Algebra 44 (3/4) (2010)
Diedrich Wolter, Jae Hee Lee
Qualitative reasoning with directional relations. Artif. Intell. 174 (18) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jae Hee Lee