Donghun Lee
Orcid: 0000-0002-7941-2395Affiliations:
- Korea University, Department of Mathematics, AI Math Laboratory, Seoul, Republic of Korea
- Princeton University, Department of Computer Science, Princeton, NJ, USA (PhD 2019)
According to our database1,
Donghun Lee
authored at least 21 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning.
CoRR, July, 2025
Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space.
CoRR, July, 2025
Data-Driven Dimensional Synthesis of Diverse Planar Four-bar Function Generation Mechanisms via Direct Parameterization.
CoRR, July, 2025
CoRR, July, 2025
Re-experiment Smart: a Novel Method to Enhance Data-driven Prediction of Mechanical Properties of Epoxy Polymers.
CoRR, June, 2025
CLIP-KOA: Enhancing Knee Osteoarthritis Diagnosis with Multi-Modal Learning and Symmetry-Aware Loss Functions.
CoRR, April, 2025
Investigating the Limits of Graph Foundation Model in Real-World Travel Recommendation Systems.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
IEEE Geosci. Remote. Sens. Lett., 2024
CoRR, 2024
Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
SentenceLDA: Discriminative and Robust Document Representation with Sentence Level Topic Model.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2019
Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon
PhD thesis, 2019
IEEE Trans. Autom. Control., 2019
Meta-learning of Bidding Agent with Knowledge Gradient in a Fully Agent-based Sponsored Search Auction Simulator.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012