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Mingyi Hong

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An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning

Aug 01, 2023
Yihua Zhang, Prashant Khanduri, Ioannis Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu

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Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens

May 07, 2023
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng

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GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data

Mar 16, 2023
Xinwei Zhang, Mingyi Hong, Jie Chen

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What Is Missing in IRM Training and Evaluation? Challenges and Solutions

Mar 04, 2023
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush Varshney, Sijia Liu

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Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning

Feb 15, 2023
Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong

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On the Robustness of deep learning-based MRI Reconstruction to image transformations

Nov 21, 2022
Jinghan Jia, Mingyi Hong, Yimeng Zhang, Mehmet Akçakaya, Sijia Liu

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Advancing Model Pruning via Bi-level Optimization

Oct 12, 2022
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu

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Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

Oct 04, 2022
Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong

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Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees

Oct 04, 2022
Siliang Zeng, Mingyi Hong, Alfredo Garcia

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