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Zhaojing Wen

2 accepted papers

2025

From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ

ICLR 2025poster

Post-Training low-bit Quantization (PTQ) is useful to accelerate DNNs due to its high efficiency, the current SOTAs of which mostly adopt feature reconstruction with self-distillation finetuning. However, when bitwidth goes to be extremely low, we find the current reconstruction optimization space i…

Cited by 0SourcePDFScholar
2020

Classify and Explain: An Interpretable Convolutional Neural Network For Lung Cancer Diagnosis

ICASSP 2020accepted

The deep network-based computer-aided diagnosis systems have encountered many difficulties in practical applications because of its "black box" feature. The crux of the problem is that these models should be explainable - the model should provide doctors rationales that can explain the diagnosis. In…

Cited by 0SourceScholar