Publications

40. Dayeon Shin, Donghun Lee (2026). CyDRA: Diagnosis-Guided Zero-Shot Prompting for Text-to-Cypher Generation. In ICML 2026 Workshop on Failure Modes in Agentic AI.

39. Hyunsang Hwang, Suhyun Bae, Donghun Lee (2026). Prime Fourier Embeddings: A Principled Basis for Modular Arithmetic. In ICML 2026 MathAI AI for Math Workshop.

38. Taehun Cha, Donghun Lee (2026). Consequence-Guided Information Extraction for Predicting Central Bank Communication’s Effect. In Comp. Econ..

37. Taehun Cha, Donghun Lee (2025). Curse of Smoothness in Functional Neural Networks. In IEEE SPL.

DOI PDF Github URL

36. Jaeheun Jung, Bosung Jung, Suhyun Bae, Donghun Lee (2025). OPC: One-Point-Contraction Unlearning Toward Deep Feature Forgetting. In ICCV 2025 U&ME workshop.

35. Jaeheun Jung, Jaehyuk Lee, Yeajin Lee, Donghun Lee (2025). IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning. In ICCV 2025 U&ME workshop.

34. Suhyun Bae, Donghun Lee (2025). Numbers Already Carry Their Own Embeddings. In NeurIPS 2025 MathAI Workshop.

PDF Slides arXiv poster

33. Jeongun Ha, Donghun Lee (2025). Best of Both Worlds: Bridging Laplace and Fourier for Generalizable and Efficient Operator Learning. In NeurIPS 2025 ML4PS Workshop.

32. Taehun Cha, Donghun Lee (2025). Feature Learning as a Virtual Covariance Learning. In NeurIPS 2025 OPT Workshop.

31. Haein Jeon, Bo-Yeong Kang, Donghun Lee, Jimin Oh (2025). Bridging data-rich and data-poor domains on Lithium-Ion Battery via Scanning Electron Microscopic data through Convolutional Neural Network Transfer Learning. In NeurIPS 2025 AI4Mat Workshop.

30. Jaehyuk Lee, Jaeheun Jung, Yeajin Lee, Chang-Hae Jung, Donghun Lee (2025). Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition. In ICML 2025 ML4Audio Workshop.

29. Jaehyuk Lee, Jaeheun Jung, Hanyoung Kim, Chang-Hae Jung, Donghun Lee (2025). Enhancing Generative Seismic Modeling via Proposed Paired Dataset Construction Method. In ICML 2025 TerraBytes Workshop.

28. Taehun Cha, Donghun Lee (2025). Emergent Linear Separability of Unseen Data Points in High-dimensional Last-Layer Feature Space. In ICML 2025 HiLD Workshop.

27. Jaeheun Jung, Donghun Lee (2025). Catalyst: Structured Pruning with Robust Bifurcation Dynamics. In ICML 2025 HiLD Workshop.

26. Jaeheun Jung, WoonRyong Kim, Jeongun Ha, Donghun Lee, Jae Kyung Shim (2025). Data-Driven Dimensional Synthesis of Diverse Planar Four-bar Function Generation Mechanisms via Direct Parameterization.

25. Dayeon Shin, Donghun Lee (2025). Agent-based Instructional Support Chatbot. In KCC 2025.

24. Nayoung Lee, Gunmin Lee, Donghun Lee (2025). Investigating the Limits of Graph Foundation Model in Real-World Travel Recommendation Systems. In PAKDD 2025 GLFM Workshop.

23. Wanshan Cui, Yejin Jeong, Inwook Song, Gyuri Kim, Minsang Kwon, Donghun Lee (2025). Re-experiment Smart: a Novel Method to Enhance Data-driven Prediction of Mechanical Properties of Epoxy Polymers.

22. Jaeheun Jung, Jaehyuk Lee, Chang-Hae Jung, Hanyoung Kim, Bosung Jung, Donghun Lee (2025). Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition. In ICML 2025.

21. Yejin Jeong, Donghun Lee (2025). CLIP-KOA: Enhancing Knee Osteoarthritis Diagnosis with Multi-Modal Learning and Symmetry-Aware Loss Functions. In MICCAI 2025 LMID workshop.

20. Taehun Cha, Donghun Lee (2025). ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments. In AAAI 2025.

PDF Cite DOI AAAI poster arXiv

19. Yejin Jeong, Dong-Ho Kang, Sung Taeck Kim, Younguk Kim, Du Hyun Ro (2025). Automated Measurement of Pelvic Parameters Using CNN in Spinal Conditions: Overcoming Challenges in Coronal Deformity Cases. In Spine Journal.

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18. Taehun Cha, Donghun Lee (2024). Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts. In EMNLP 2024 Findings.

17. Jaeheun Jung, Jaehyuk Lee, Chang-Hae Jung, Hanyoung Kim, Bosung Jung, Donghun Lee (2024). Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition.

16. Taehun Cha, Donghun Lee (2024). Evaluating Extrapolation Ability of Large Language Model in Chemical Domain. In ACL 2024.

15. Keunsuk Cho, Jeongun Ha, Jihun Lim, Jongwon Han, Seungryong Kim, Donghun Lee (2024). PPSD GAN: PPSD-informed Generative Model for Ambient Seismic Noise Synthesizing. In IEEE GRSL.

14. Jaeheun Jung, Donghun Lee (2024). Bypassing Stationary Points in Training Deep Learning Models. In IEEE TNNLS.

13. Taehun Cha, Donghun Lee (2024). SentenceLDA: Discriminative and Robust Document Representation with Sentence Level Topic Model. In EACL 2024.

12. Jaehyuk Lee, Keunsuk Cho, Donghun Lee (2023). Improvement of Phase Picking via Conditional Latent Diffusion Model. In KSC 2023.

11. Yanggee Kim, Hanyoung Kim, Donghun Lee (2023). Aspect-based Dense Passage Retrieval. In KSC 2023.

10. Yanggee Kim, Yeajin Lee, Wanshan Cui, Donghun Lee (2023). TDNN-Based Double-under Ropejumping Recognition Model. In KCC 2024.

9. Bosung Jung, Doyoon Kim, Donghun Lee (2023). Impossibility of Optimizing Time-Fractional Gradient Descent With a Convex Function As the Objective Function. In KCC 2024.

8. Kyunghee Roh, Yanggee Kim, Jaehyuk Lee, Jongin Lee, Sanghwa Jin, Donghun Lee (2023). I/O Workload Analysis of AI Applications for Autonomous Vehicles with Shared Storage. In KCC 2024.

7. Suhyun Bae, Donghun Lee (2023). Exploring Hallucination Types in Question-Answering Generation and Limitation of Text Evaluation Metrics. In KCC 2024.

6. Nayoung Lee, Donghun Lee (2023). Clustering Strategies for Learning Management System Chatbot Data: Based on Silhouette Scores. In KCC 2024.

5. Yejin Jeong, Wanshan Cui, Donghun Lee (2023). A Data-driven Approach for Predicting Glass Transition Temperature of Epoxy Polymers. In KCC 2024.

4. Taehun Cha, Donghun Lee (2023). Predicting U.S. Treasury Yield Curve Shifts with FOMC Statements Using BERT. In KCC 2023.

3. Taehun Cha, Jaeheun Jung, Donghun Lee (2022). Noun-MWP: Math Word Problems Meet Noun Answers. In COLING 2022.

2. Donghun Lee, Warren B. Powell (2022). Online Learning with Regularized Knowledge Gradients. In PAKDD 2022.

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1. Donghun Lee, Warren B. Powell (2019). Bias-Corrected Q-Learning With Multistate Extension. In IEEE TAC.

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