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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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* Accepted to Eleventh International Conference on Learning Representations (ICLR 2023) 

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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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* Accepted as TSRML'22 Paper 

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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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* Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022) 

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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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* arXiv admin note: text overlap with arXiv:2210.01282 

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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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A Framework for Understanding Model Extraction Attack and Defense


Jun 23, 2022
Xun Xian, Mingyi Hong, Jie Ding

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Distributed Adversarial Training to Robustify Deep Neural Networks at Scale


Jun 13, 2022
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu

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