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Jinghan Jia

SMUG: Towards robust MRI reconstruction by smoothed unrolling

Mar 14, 2023
Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu

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* Accepted by ICASSP 2023

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Text-Visual Prompting for Efficient 2D Temporal Video Grounding

Mar 09, 2023
Yimeng Zhang, Xin Chen, Jinghan Jia, Sijia Liu, Ke Ding

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* Accepted into the CVPR 2023

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Robustness-preserving Lifelong Learning via Dataset Condensation

Mar 07, 2023
Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred Hero

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* Accepted by ICASSP2023 Main Track: Machine Learning for Signal Processing

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TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization

Dec 19, 2022
Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang

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* 18 pages, 2 figures

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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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How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective

Mar 27, 2022
Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu

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* Accepted as ICLR'22 Spotlight Paper

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On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations

Feb 25, 2021
Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya

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* To appear in Proceedings of the 29th Annual Meeting of ISMRM, 2021

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