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Our paper has been selected as an outstanding paper honorable mention in ICLR 2024.
2024-06-03
The code of our new RER method designed for continual learning is released. Welcome to use.
2024-04-30
Our recent work reveals the intrinsic uncertainty principle underlying general neural networks
2024-04-22
Our work on exploring the insight of proximal net in deep unfolding approach is accepted by TPAMI.
2024-03-24
The code of our proposed VIRNet for blind image restoration is released. Welcome to use.
2024-03-24
Our proposed new deep variational network on blind IR tasks is accepted by TPAMI.
2024-02-06
Our work on new understanding on meta-continual learning is accepted by ICLR as an oral paper.
2024-02-01
Our new PCP method is accepted by SIAM Journal of Imaging Sciences
2023-12-14
The code of our new INR method accepted by TPAMI is released. Welcome to use.
2023-12-13
Our new INR work is accepted by TPAMI. The code will be released soon.
2023-12-07
Our statistical learning theory work on meta-learning is accepted by JMLR
2023-06-17
Our VINet method designed for solving statistical inverse problems of PDEs is accepted by JMLR
2023-05-30
Our new meta-learning method for robust deep learning is accepted by TPAMI. The code is released.
2023-04-25
The code of our T-CTV method is released.
2023-03-23
The code of our proposed PanCSC-Net for pansharpening is released, welcome to use.
2023-01-14
Our study on the CTV regularizer is accepted by TPAMI. The code is released, welcome to use.
2022-08-30
The code of our proposed filter parametrization method is released. Welcome to use.
2022-08-02
The code of our Meta-Learning-Rate-Schecule Net is released. Welcome to use.
2022-07-30
The recent meta-learning work of our team is accepted by TPAMI
2022-06-12
祝贺邱海权获得院优秀硕士论文
2022-06-09