Publications

2026

Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings
G. Schwalbe, M. Keser, M. Bayerkuhnlein, E. Heinert, A. Mütze, M. Keller, S. Tiwari, G. Mikriukov, D. Wolter, J. H. Lee, M. Rottmann
arXiv preprint arXiv:2603.26798
Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities

H. H. Lehmann, J. H. Lee, S. Schockaert, S. Wermter
European Chapter of the Association for Computational Linguistics
The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
J. Herbst, J. H. Lee, S. Wermter
arXiv preprint arXiv:2604.02178

2025

Mental Modelling of Reinforcement Learning Agents by Language Models

W. Lu, X. Zhao, J. Spisak, J. H. Lee, S. Wermter
Transactions on Machine Learning Research
Proceedings of the 4th International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2025)
CEUR Workshop Proceedings
Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective
J. H. Lee, A. Lauscher, S. V. Albrecht
arXiv preprint arXiv:2512.04691

2024

Causal State Distillation for Explainable Reinforcement Learning

W. Lu, X. Zhao, T. Fryen, J. H. Lee, M. Li, S. Magg, S. Wermter
Conference on Causal Learning and Reasoning
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic

X. Zhao, M. Li, W. Lu, C. Weber, J. H. Lee, K. Chu, S. Wermter
Joint International Conference on Computational Linguistics, Language Resources and Evaluation
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models

K. Ahrens, H. H. Lehmann, J. H. Lee, S. Wermter
Transactions on Machine Learning Research
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
X. Sun, X. Zhao, J. H. Lee, W. Lu, M. Kerzel, S. Wermter
Artificial Neural Networks and Machine Learning
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
J. H. Lee, G. Mikriukov, G. Schwalbe, S. Wermter, D. Wolter
Computer Vision -- ECCV 2024 Workshops
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
J. H. Lee, S. Lanza, S. Wermter
Neurosymbolic Artificial Intelligence
Proceedings of the 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024)
CEUR-WS.org

2023

Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
B. Plüster, J. Ambsdorf, L. Braach, J. H. Lee, S. Wermter
arXiv preprint arXiv:2212.04231
Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input
O. \"Ozdemir, M. Kerzel, C. Weber, J. H. Lee, M. B. Hafez, P. Bruns, S. Wermter
Applied Artificial Intelligence
Neuro-Symbolic Spatio-Temporal Reasoning
J. H. Lee, M. Sioutis, K. Ahrens, M. Alirezaie, M. Kerzel, S. Wermter
Compendium of Neurosymbolic Artificial Intelligence
Internally Rewarded Reinforcement Learning

M. Li, X. Zhao, J. H. Lee, C. Weber, S. Wermter
International Conference on Machine Learning
Visually Grounded Continual Language Learning with Selective Specialization

K. Ahrens, L. Bengtson, J. H. Lee, S. Wermter
EMNLP Findings
Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023)
CEUR-WS.org

2022

What Is Right for Me Is Not yet Right for You: A Dataset for Grounding Relative Directions Via Multi-Task Learning

J. H. Lee, M. Kerzel, K. Ahrens, C. Weber, S. Wermter
International Joint Conference on Artificial Intelligence
Spatial Relation Learning in Complementary Scenarios with Deep Neural Networks
J. H. Lee, Y. Yao, O. \"Ozdemir, M. Li, C. Weber, Z. Liu, S. Wermter
Frontiers in Neurorobotics
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning

O. \"Ozdemir, M. Kerzel, C. Weber, J. H. Lee, S. Wermter
IEEE Transactions on Cognitive and Developmental Systems
Learning Flexible Translation Between Robot Actions and Language Descriptions
O. \"Ozdemir, M. Kerzel, C. Weber, J. H. Lee, S. Wermter
Artificial Neural Networks and Machine Learning
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning
C. Volquardsen, J. H. Lee, C. Weber, S. Wermter
Artificial Neural Networks and Machine Learning
Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning
K. Ahrens, M. Kerzel, J. H. Lee, C. Weber, S. Wermter
International Workshop on Spatio-Temporal Reasoning and Learning

2021

Robotic Occlusion Reasoning for Efficient Object Existence Prediction

M. Li, C. Weber, M. Kerzel, J. H. Lee, Z. Zeng, Z. Liu, S. Wermter
International Conference on Intelligent Robots and Systems
Generalization in Multimodal Language Learning from Simulation
A. Eisermann, J. H. Lee, C. Weber, S. Wermter
International Joint Conference on Neural Networks

2020

Capturing Word Order in Averaging Based Sentence Embeddings

J. H. Lee, J. Camacho-Collados, L. Espinosa Anke, S. Schockaert
European Conference on Artificial Intelligence
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation

S. Kong, J. Bai, J. H. Lee, D. Chen, A. Allyn, M. Stuart, M. Pinsky, K. Mills, C. Gomes
International Joint Conference on Artificial Intelligence

2018

A New Distributed Algorithm for Efficient Generalized Arc-Consistency Propagation
S. Kong, J. H. Lee, S. Li
Autonomous Agents and Multi-Agent Systems
Multiagent Simple Temporal Problem: The Arc-Consistency Approach

S. Kong, J. H. Lee, S. Li
AAAI Conference on Artificial Intelligence

2017

A Survey of Qualitative Spatial and Temporal Calculi: Algebraic and Computational Properties

F. Dylla, J. H. Lee, T. Mossakowski, T. Schneider, A. V. Delden, J. V. D. Ven, D. Wolter
ACM Computing Surveys
A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints

S. Kong, J. H. Lee, S. Li
International Conference on Autonomous Agents and Multiagent Systems

2016

Trend-Based Prediction of Spatial Change

X. Ge, J. H. Lee, J. Renz, P. Zhang
International Joint Conference on Artificial Intelligence
Connecting Qualitative Spatial and Temporal Representations by Propositional Closure

D. Wolter, J. H. Lee
International Joint Conference on Artificial Intelligence
Hole in One: Using Qualitative Reasoning for Solving Hard Physical Puzzle Problems

X. Ge, J. H. Lee, J. Renz, P. Zhang
European Conference on Artificial Intelligence
On Redundancy in Simple Temporal Networks

J. H. Lee, S. Li, Z. Long, M. Sioutis
European Conference on Artificial Intelligence
Hole in One: Using Qualitative Reasoning for Solving Hard Physical Puzzle Problems
X. Ge, J. H. Lee, J. Renz, P. Zhang
29th International Workshop on Qualitative Reasoning

2015

Qualitative Reasoning About Directions in Semantic Spaces

S. Schockaert, J. H. Lee
International Joint Conference on Artificial Intelligence
From Raw Sensor Data to Detailed Spatial Knowledge

P. Zhang, J. H. Lee, J. Renz
International Joint Conference on Artificial Intelligence

2014

The Complexity of Reasoning with Relative Directions

J. H. Lee
European Conference on Artificial Intelligence

2013

Qualitative Reasoning about Relative Directions: Computational Complexity and Practical Algorithm
J. H. Lee
PhD Thesis, Universit\"at Bremen
Towards Safe Navigation by Formalizing Navigation Rules
A. Kreutzmann, D. Wolter, F. Dylla, J. H. Lee
International Journal on Marine Navigation and Safety of Sea Transportation
StarVars: Effective Reasoning About Relative Directions

J. H. Lee, J. Renz, D. Wolter
International Joint Conference on Artificial Intelligence

2012

GIZeitgeist 2012 - Proceedings of the Young Researchers Forum on Geographic Information Science
Akademische Verlagsgesellschaft AKA

2011

Cylindrical Algebraic Decomposition for Reasoning about Qualitative Spatial Knowledge
J. H. Lee
ACM Communications in Computer Algebra
A New Perspective on Reasoning with Qualitative Spatial Knowledge
J. H. Lee, D. Wolter
IJCAI-2011 Workshop 27: Benchmarks and Applications of Spatial Reasoning
CLP(QS): A Declarative Spatial Reasoning Framework
M. Bhatt, J. H. Lee, C. Schultz
Spatial Information Theory

2010

Qualitative Reasoning with Directional Relations

D. Wolter, J. H. Lee
Artificial Intelligence
A Combined Calculus on Orientation with Composition Based on Geometric Properties

F. Dylla, J. H. Lee
European Conference on Artificial Intelligence

2007

Composition in OPRAm
L. Frommberger, J. H. Lee, J. O. Wallgrün, F. Dylla
Technical Report, Transregional Collaborative Research Center SFB/TR 8 Spatial Cognition