Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Collaborative Research: Unregistered Spectral Image Fusion in Remote Sensing: Foundations and Algorithms
Hong, M. (PI)
THE NATIONAL SCIENCE FOUNDATION
9/1/25 → 8/31/28
Project: Research project
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Collaborative: ACED: Novel Drug Discovery Via Online Optimizing and Conditioning Generative Models
Hong, M. (PI)
THE NATIONAL SCIENCE FOUNDATION
8/1/25 → 7/31/27
Project: Research project
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Invariance in LLM Unlearning Advancing Optimization Foundations for Machine Unlearning
Hong, M. (PI)
MICHIGAN STATE UNIVERSITY, OPEN PHILANTHROPY PROJECT
7/1/25 → 6/30/27
Project: Research project
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CIF:Small: Inverse Reinforcement Learning with Heterogeneous Data: Estimation Algorithms with Finite Time and Sample Guarantees
Hong, M. (PI)
THE NATIONAL SCIENCE FOUNDATION
12/1/24 → 11/30/27
Project: Research project
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Bi-Level Optimization for Hierarchical Machine Learning Problems: Models, Algorithms and Applications
Hong, M. (PI)
THE NATIONAL SCIENCE FOUNDATION
8/1/24 → 7/31/27
Project: Research project
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RT2I-Bench: Evaluating Robustness of Text-to-Image Systems Against Adversarial Attacks
Glentis, A., Tsaknakis, I., Peng, J., Xian, X., Zhang, Y., Liu, G., Fleming, C. & Hong, M., 2026, In: Transactions on Machine Learning Research. 2026-JanuaryResearch output: Contribution to journal › Article › peer-review
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AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
Luo, A., Xian, X., Du, J., Tian, F., Wang, G., Zhong, M., Zhao, S., Bi, X., Liu, Z., Zhou, J., Srinivasa, J., Kundu, A., Fleming, C., Hong, M. & Ding, J., 2025, EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). Association for Computational Linguistics (ACL), p. 18017-18060 44 p. (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Scopus citations -
BLUR: A Bi-Level Optimization Approach for LLM Unlearning
Reisizadeh, H., Jia, J., Bu, A., Vinzamuri, B., Ramakrishna, A., Chang, K.-W., Cevher, V., Liu, S. & Hong, M., Oct 2025.Research output: Contribution to conference › Paper › peer-review
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BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
Zhong, H., Yin, Y., Zhang, S., Xu, X., Liu, Y., Zuo, Y., Liu, Z., Liu, B., Zheng, S., Guo, H., Wang, L., Hong, M. & Wang, Z., 2025, In: Proceedings of Machine Learning Research. 267, p. 78555-78574 20 p.Research output: Contribution to journal › Conference article › peer-review
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DISK: DIFFERENTIALLY PRIVATE OPTIMIZER WITH SIMPLIFIED KALMAN FILTER FOR NOISE REDUCTION
Zhang, X., Bu, Z., Balle, B., Hong, M., Razaviyayn, M. & Mirrokni, V., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 54792-54819 28 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution