Daiwei Yu

Zhejiang University

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Zhuorong Li

Shenzhen University

Wenjin Zhang

Georgetown University Medical Center

Canghong Jin

City University of Macau

Sixian Chan

Zhejiang University of Technology

Hongchuan Yu

Bournemouth University

Zhiqiang Chen

Tsinghua University

Xuebin Li

Guilin University of Electronic Technology

Bo Wang

Xian Mental Health Center

Zhike Han

Zhejiang University

Tao Lin

Zhejiang University

Cooperative Institutions

Zhejiang University

Wuhan Ship Development & Design Institute

Hangzhou City University

University of Science and Technology of China

Tsinghua University

Chinese Academy of Sciences

Huazhong University of Science and Technology

City University

Beijing Institute of Technology

Zhejiang University of Science and Technology

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Adversarial supervised contrastive learning

Machine Learning (2022)

Zhuorong Li Daiwei Yu Minghui Wu Canghong Jin Hongnian Yu

Robustness

Deep Neural Networks

Training set

10.1007/s10994-022-06269-7

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Citations (5)

Parameter estimation of PEM fuel cells using metaheuristic algorithms

Measurement (2024)

Xuebin Li Jin Zhao Daiwei Yu Zhang Jun Wenjin Zhang

10.1016/j.measurement.2024.115302

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Citations (4)

A Novel Designed Small Angle CT System based on Overlay Rotation

2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2017)

Bo Wang Yongshun Xiao Daiwei Yu Zhiqiang Chen

A small angle CT system is unable to scan a big object, which is larger than the field of view. In order to make full use of this kind of systems, several methods have been proposed to solve this problem, such as Half-Covered Helical CT, but additional scan process is also needed. This paper describes a novel designed rotation system to apply the small angle system for large object testing, whose scan process is as same as the conventional CT system. In this newly designed overlay rotation CT scanning system, two turntables are used to make up a two-degree-of-freedom system. These two turntables rotate at constant rotation rates and projection data is collected at the same time. In this paper, new projection data rebinning method is adopted and the reconstructed algorithm is also described. Numerical experiments are taken to test a simple prototype and verify the feasibility of this CT system. In conclusion, this novel designed overlay rotation CT system is effective to get enough projection data for reconstruction.

Angle of rotation

10.1109/nssmic.2017.8532679

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Citations (0)

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Peng Sun Bei Shi Daiwei Yu Tao Lin

10.1109/cvpr52733.2024.00897

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Citations (1)

Li-ion battery state of health prediction through metaheuristic algorithms and genetic programming

Energy Reports (2024)

Xuebin Li Zhao Jin Shengqun Li Daiwei Yu Jun Zhang

State of health

10.1016/j.egyr.2024.06.038

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Citations (1)

Application of Industrial CT System based on Synchronous Triggering Method in Aero-engine In-situ Dynamic Detection

2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2017)

Yongshun Xiao Daiwei Yu Zhiqiang Chen Bo Wang

Aero engine is the heart of aircraft, and engine blades are the most important parts. They usually work in bad conditions such as high temperature, high pressure, high rotation speed and alternating load. Some tiny defects may cause disastrous consequences. An effective measure to detect the defects is nondestructive detection method bases on industrial CT technology. However, this detection method has several disadvantages, such as complicated control system, high cost and long testing cycle. And some kinds of defects are not evident during the shutdown period. Based on researches about the insitu nondestructive testing methods for aero engine, we put forward a system using CT technique to detect the rotating parts of the aero engine, which gets projection datasets of the blades from different views through its self-rotation. In this paper, the industrial CT system based on synchronous triggering method is described, and the simulation and experiment are performed to verify the method.

Aero engine

10.1109/nssmic.2017.8532659

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Citations (0)

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

arXiv (Cornell University) (2023)

Peng Sun Bei Shi Daiwei Yu Tao Lin

Contemporary machine learning requires training large neural networks on massive datasets and thus faces the challenges of high computational demands. Dataset distillation, as a recent emerging strategy, aims to compress real-world datasets for efficient training. However, this line of research currently struggle with large-scale and high-resolution datasets, hindering its practicality and feasibility. To this end, we re-examine the existing dataset distillation methods and identify three properties required for large-scale real-world applications, namely, realism, diversity, and efficiency. As a remedy, we propose RDED, a novel computationally-efficient yet effective data distillation paradigm, to enable both diversity and realism of the distilled data. Extensive empirical results over various neural architectures and datasets demonstrate the advancement of RDED: we can distill the full ImageNet-1K to a small dataset comprising 10 images per class within 7 minutes, achieving a notable 42% top-1 accuracy with ResNet-18 on a single RTX-4090 GPU (while the SOTA only achieves 21% but requires 6 hours).

10.48550/arxiv.2312.03526

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Citations (0)

Lithium-ion battery state of health estimation using meta-heuristic optimization and Gaussian process regression

Journal of Energy Storage (2022)

Jin Zhao Xuebin Li Daiwei Yu Zhang Jun Wenjin Zhang

Hyperparameter

Prognostics

10.1016/j.est.2022.106319

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Citations (34)

Adversarial self-training for robustness and generalization