A Combined Calculus on Orientation with Composition Based on Geometric Properties. - Frank Dylla; Jae Hee Lee 001 (ECAI, 2010)

Qualitative reasoning with directional relations. - Diedrich Wolter; Jae Hee Lee 001 (Artif. Intell., 2010)

Cylindrical algebraic decomposition for reasoning about qualitative spatial knowledge. - Jae Hee Lee 001 (ACM Commun. Comput. Algebra, 2010)

CLP(QS): A Declarative Spatial Reasoning Framework. - Mehul Bhatt; Jae Hee Lee 001; Carl Schultz 001 (COSIT, 2011)

StarVars - Effective Reasoning about Relative Directions. - Jae Hee Lee 001; Jochen Renz; Diedrich Wolter (IJCAI, 2013)

Qualitative reasoning about relative directions: computational complexity and practical algorithm. - Jae Hee Lee 001 (2013)

The Complexity of Reasoning with Relative Directions. - Jae Hee Lee 001 (ECAI, 2014)

Qualitative Reasoning about Directions in Semantic Spaces. - Steven Schockaert; Jae Hee Lee 001 (IJCAI, 2015)

From Raw Sensor Data to Detailed Spatial Knowledge. - Peng Zhang 021; Jae Hee Lee 001; Jochen Renz (IJCAI, 2015)

Hole in One: Using Qualitative Reasoning for Solving Hard Physical Puzzle Problems. - Xiaoyu Ge; Jae Hee Lee 001; Jochen Renz; Peng Zhang 021 (ECAI, 2016)

On Redundancy in Simple Temporal Networks. - Jae Hee Lee 001; Sanjiang Li; Zhiguo Long; Michael Sioutis (ECAI, 2016)

Trend-Based Prediction of Spatial Change. - Xiaoyu Ge; Jae Hee Lee 001; Jochen Renz; Peng Zhang 021 (IJCAI, 2016)

Connecting Qualitative Spatial and Temporal Representations by Propositional Closure. - Diedrich Wolter; Jae Hee Lee 001 (IJCAI, 2016)

A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints. - Shufeng Kong; Jae Hee Lee 001; Sanjiang Li (AAMAS, 2017)

A Survey of Qualitative Spatial and Temporal Calculi: Algebraic and Computational Properties. - Frank Dylla; Jae Hee Lee 001; Till Mossakowski; Thomas Schneider 002; André van Delden; Jasper van de Ven; Diedrich Wolter (ACM Comput. Surv., 2017)

Multiagent Simple Temporal Problem: The Arc-Consistency Approach. - Shufeng Kong; Jae Hee Lee 001; Sanjiang Li (AAAI, 2018)

A new distributed algorithm for efficient generalized arc-consistency propagation. - Shufeng Kong; Jae Hee Lee 001; Sanjiang Li (Auton. Agents Multi Agent Syst., 2018)

Capturing Word Order in Averaging Based Sentence Embeddings. - Jae Hee Lee 001; José Camacho-Collados; Luis Espinosa Anke; Steven Schockaert (ECAI, 2020)

Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. - Shufeng Kong; Junwen Bai; Jae Hee Lee 001; Di Chen 001; Andrew Allyn; Michelle Stuart; Malin Pinsky; Katherine Mills; Carla P. Gomes (IJCAI, 2020)

Generalization in Multimodal Language Learning from Simulation. - Aaron Eisermann; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (IJCNN, 2021)

Robotic Occlusion Reasoning for Efficient Object Existence Prediction. - Mengdi Li; Cornelius Weber; Matthias Kerzel; Jae Hee Lee 001; Zheni Zeng; Zhiyuan Liu 001; Stefan Wermter (IROS, 2021)

Learning Flexible Translation Between Robot Actions and Language Descriptions. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Stefan Wermter (ICANN (2), 2022)

More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning. - Caspar Volquardsen; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (ICANN (3), 2022)

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. - Jae Hee Lee 001; Matthias Kerzel; Kyra Ahrens; Cornelius Weber; Stefan Wermter (IJCAI, 2022)

Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning. - Kyra Ahrens; Matthias Kerzel; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (STRL@IJCAI, 2022)

Neuro-Symbolic Spatio-Temporal Reasoning. - Jae Hee Lee 001; Michael Sioutis; Kyra Ahrens; Marjan Alirezaie; Matthias Kerzel; Stefan Wermter (CoRR, 2022)

Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations. - Björn Plüster; Jakob Ambsdorf; Lukas Braach; Jae Hee Lee 001; Stefan Wermter (CoRR, 2022)

Spatial relation learning in complementary scenarios with deep neural networks. - Jae Hee Lee 001; Yuan Yao 011; Ozan Özdemir; Mengdi Li; Cornelius Weber; Zhiyuan Liu 001; Stefan Wermter (Frontiers Neurorobotics, 2022)

Visually Grounded Continual Language Learning with Selective Specialization. - Kyra Ahrens; Lennart Bengtson; Jae Hee Lee 001; Stefan Wermter (EMNLP (Findings), 2023)

Internally Rewarded Reinforcement Learning. - Mengdi Li; Xufeng Zhao 002; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (ICML, 2023)

Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Muhammad Burhan Hafez; Patrick Bruns; Stefan Wermter (CoRR, 2023)

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks. - Jae Hee Lee 001; Sergio Lanza; Stefan Wermter (CoRR, 2023)

Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. - Kyra Ahrens; Hans Hergen Lehmann; Jae Hee Lee 001; Stefan Wermter (CoRR, 2023)

Neuro-Symbolic Spatio-Temporal Reasoning. - Jae Hee Lee 001; Michael Sioutis; Kyra Ahrens; Marjan Alirezaie; Matthias Kerzel; Stefan Wermter (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Muhammad Burhan Hafez; Patrick Bruns; Stefan Wermter (Appl. Artif. Intell., 2023)

Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2023)

Causal State Distillation for Explainable Reinforcement Learning. - Wenhao Lu; Xufeng Zhao 002; Thilo Fryen; Jae Hee Lee 001; Mengdi Li; Sven Magg; Stefan Wermter (CLeaR, 2024)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. - Xufeng Zhao 002; Mengdi Li; Wenhao Lu; Cornelius Weber; Jae Hee Lee 001; Kun Chu; Stefan Wermter (LREC/COLING, 2024)

Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? - Jae Hee Lee 001; Georgii Mikriukov; Gesina Schwalbe; Stefan Wermter; Diedrich Wolter (ECCV Workshops (21), 2024)

Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. - Xiaowen Sun; Xufeng Zhao 002; Jae Hee Lee 001; Wenhao Lu; Matthias Kerzel; Stefan Wermter (ICANN (4), 2024)

Mental Modeling of Reinforcement Learning Agents by Language Models. - Wenhao Lu; Xufeng Zhao 002; Josua Spisak; Jae Hee Lee 001; Stefan Wermter (CoRR, 2024)

Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. - Kyra Ahrens; Hans Hergen Lehmann; Jae Hee Lee 001; Stefan Wermter (Trans. Mach. Learn. Res., 2024)

Mental Modelling of Reinforcement Learning Agents by Language Models. - Wenhao Lu; Xufeng Zhao 002; Josua Spisak; Jae Hee Lee 001; Stefan Wermter (Trans. Mach. Learn. Res., 2025)