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ORCIDJae Hee Lee 0001
Person information
- affiliation: University of Hamburg, Department of Informatics, Germany
- affiliation (former): Cardiff University, School of Computer Science, UK
- affiliation (former): University of Technology Sydney, Australia
Other persons with the same name
- Jae Hee Lee (aka: Jae-Hee Lee, JaeHee Lee, Jaehee Lee) — disambiguation page
- Jae Hee Lee 0002 — Chonnam National University, Gwangju, Korea
- Jae Hee Lee 0003 — Australian National University, Canberra, Australia
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2020 – today
- 2024
[j8]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)- [c25]Wenhao Lu, Xufeng Zhao
, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. CLeaR 2024: 106-142 - [c24]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: 6144-6166 - [c23]Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter:
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. ICANN (4) 2024: 261-275 - [i21]Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. CoRR abs/2401.00104 (2024) - [i20]Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter:
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. CoRR abs/2406.09988 (2024) - [i19]Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter:
Mental Modeling of Reinforcement Learning Agents by Language Models. CoRR abs/2406.18505 (2024) - [i18]Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter:
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? CoRR abs/2409.13456 (2024) - 2023
- [j7]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) - [j6]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): 1812-1824 (2023) - [c22]Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter:
Visually Grounded Continual Language Learning with Selective Specialization. EMNLP (Findings) 2023: 7037-7054 - [c21]Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Internally Rewarded Reinforcement Learning. ICML 2023: 20556-20574 - [p1]Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter:
Neuro-Symbolic Spatio-Temporal Reasoning. Compendium of Neurosymbolic Artificial Intelligence 2023: 410-429 - [e1]Michael Sioutis, Zhiguo Long, Jae Hee Lee, Mehul Bhatt:
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. CEUR Workshop Proceedings 3475, CEUR-WS.org 2023 [contents] - [i17]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 abs/2301.03353 (2023) - [i16]Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Internally Rewarded Reinforcement Learning. CoRR abs/2302.00270 (2023) - [i15]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 abs/2309.13339 (2023) - [i14]Jae Hee Lee, Sergio Lanza, Stefan Wermter:
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks. CoRR abs/2310.11884 (2023) - [i13]Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter:
Visually Grounded Continual Language Learning with Selective Specialization. CoRR abs/2310.15571 (2023) - [i12]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 abs/2312.08888 (2023) - 2022
- [j5]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) - [c20]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Learning Flexible Translation Between Robot Actions and Language Descriptions. ICANN (2) 2022: 246-257 - [c19]Caspar Volquardsen, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning. ICANN (3) 2022: 417-428 - [c18]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: 1039-1045 - [c17]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 - [i11]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning. CoRR abs/2201.06317 (2022) - [i10]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 abs/2205.02671 (2022) - [i9]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 abs/2207.02624 (2022) - [i8]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Learning Flexible Translation between Robot Actions and Language Descriptions. CoRR abs/2207.07437 (2022) - [i7]Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter:
Neuro-Symbolic Spatio-Temporal Reasoning. CoRR abs/2211.15566 (2022) - [i6]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 abs/2212.04231 (2022) - 2021
- [c16]Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Generalization in Multimodal Language Learning from Simulation. IJCNN 2021: 1-8 - [c15]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. IROS 2021: 2686-2692 - [i5]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. CoRR abs/2107.12095 (2021) - [i4]Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Generalization in Multimodal Language Learning from Simulation. CoRR abs/2108.02319 (2021) - 2020
- [c14]Jae Hee Lee, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Capturing Word Order in Averaging Based Sentence Embeddings. ECAI 2020: 2062-2069 - [c13]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: 4375-4381 - [i3]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 abs/2010.16040 (2020)
2010 – 2019
- 2018
- [j4]Shufeng Kong, Jae Hee Lee, Sanjiang Li:
A new distributed algorithm for efficient generalized arc-consistency propagation. Auton. Agents Multi Agent Syst. 32(5): 569-601 (2018) - [c12]Shufeng Kong, Jae Hee Lee, Sanjiang Li:
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. AAAI 2018: 6219-6226 - 2017
- [j3]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): 7:1-7:39 (2017) - [c11]Shufeng Kong, Jae Hee Lee, Sanjiang Li:
A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints. AAMAS 2017: 203-211 - [i2]Shufeng Kong, Jae Hee Lee, Sanjiang Li:
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. CoRR abs/1711.08151 (2017) - 2016
- [c10]Jae Hee Lee, Sanjiang Li, Zhiguo Long, Michael Sioutis:
On Redundancy in Simple Temporal Networks. ECAI 2016: 828-836 - [c9]Xiaoyu Ge, Jae Hee Lee, Jochen Renz, Peng Zhang:
Hole in One: Using Qualitative Reasoning for Solving Hard Physical Puzzle Problems. ECAI 2016: 1762-1763 - [c8]Xiaoyu Ge, Jae Hee Lee, Jochen Renz, Peng Zhang:
Trend-Based Prediction of Spatial Change. IJCAI 2016: 1074-1080 - [c7]Diedrich Wolter, Jae Hee Lee:
Connecting Qualitative Spatial and Temporal Representations by Propositional Closure. IJCAI 2016: 1308-1314 - [i1]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 abs/1606.00133 (2016) - 2015
- [c6]Peng Zhang, Jae Hee Lee, Jochen Renz:
From Raw Sensor Data to Detailed Spatial Knowledge. IJCAI 2015: 910-917 - [c5]Steven Schockaert, Jae Hee Lee:
Qualitative Reasoning about Directions in Semantic Spaces. IJCAI 2015: 3207-3213 - 2014
- [c4]Jae Hee Lee:
The Complexity of Reasoning with Relative Directions. ECAI 2014: 507-512 - 2013
- [b1]Jae Hee Lee:
Qualitative reasoning about relative directions: computational complexity and practical algorithm. University of Bremen, 2013, pp. 1-98 - [c3]Jae Hee Lee, Jochen Renz, Diedrich Wolter:
StarVars - Effective Reasoning about Relative Directions. IJCAI 2013: 976-982 - 2011
- [c2]Mehul Bhatt, Jae Hee Lee, Carl Schultz:
CLP(QS): A Declarative Spatial Reasoning Framework. COSIT 2011: 210-230 - 2010
- [j2]Diedrich Wolter, Jae Hee Lee:
Qualitative reasoning with directional relations. Artif. Intell. 174(18): 1498-1507 (2010) - [j1]Jae Hee Lee:
Cylindrical algebraic decomposition for reasoning about qualitative spatial knowledge. ACM Commun. Comput. Algebra 44(3/4): 123-124 (2010) - [c1]Frank Dylla, Jae Hee Lee:
A Combined Calculus on Orientation with Composition Based on Geometric Properties. ECAI 2010: 1087-1088
Coauthor Index
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last updated on 2024-10-16 21:24 CEST by the dblp team
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