12 citations · 19 across the 6 of their papers we have counts for
7 papers
Gradients of unitary optical neural networks using parameter-shift rule
Jinzhe Jiang, Yaqian Zhao, Xin Zhang +3
This paper explores the application of the parameter-shift rule (PSR) for computing gradients in unitary optical neural networks (UONNs). While backpropagation has been fundamental…
Partially Recentralization Softmax Loss for Vision-Language Models Robustness
Hao Wang, Jinzhe Jiang, Xin Zhang +1
As Large Language Models make a breakthrough in natural language processing tasks (NLP), multimodal technique becomes extremely popular. However, it has been shown that multimodal…
Distribution-restrained Softmax Loss for the Model Robustness
Hao Wang, Chen Li, Jinzhe Jiang +3
Recently, the robustness of deep learning models has received widespread attention, and various methods for improving model robustness have been proposed, including adversarial tra…
Towards interpreting computer vision based on transformation invariant optimization
Chen Li, Jinzhe Jiang, Xin Zhang +4
Interpreting how does deep neural networks (DNNs) make predictions is a vital field in artificial intelligence, which hinders wide applications of DNNs. Visualization of learned re…
Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network
Chen Li, JinZhe Jiang, YaQian Zhao +4
Hyperparameter optimization is a challenging problem in developing deep neural networks. Decision of transfer layers and trainable layers is a major task for design of the transfer…
Simulation of Quantum Computing on Classical Supercomputers
Ya-Qian Zhao, Ren-Gang Li, Jin-Zhe Jiang +6
Simulation of quantum computing on supercomputers is a significant research topic, which plays a vital role in quantum algorithm verification, error-tolerant verification and other…
Generalization Study of Quantum Neural Network
JinZhe Jiang, Xin Zhang, Chen Li +2
Generalization is an important feature of neural network, and there have been many studies on it. Recently, with the development of quantum compu-ting, it brings new opportunities.…