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Published in IEEE International Conference on Data Mining (ICDM), 2021
We propose a new deep model compression method, termed Dictionary Pair-based Data-Free Fast DNN Compression, which aims at reducing the memory consumption of DNNs without extra training and can greatly improve the compression efficiency.
Published in IEEE International Conference on Data Mining (ICDM), 2022
We propose a new and effective data-free quantization method termed ClusterQ, which utilizes the semantic feature distribution alignment for synthetic data generation.
Published in ArXiv, 2022
Our team participated in the Under-Display Camera (UDC) Image Restoration track on MIPI 2022 and got 5th place finally.