Wanli Yu

Wanli Yu

Universität Bremen

H-index: 11

Europe-Germany

About Wanli Yu

Wanli Yu, With an exceptional h-index of 11 and a recent h-index of 8 (since 2020), a distinguished researcher at Universität Bremen, specializes in the field of Internet of Things, Sensor networks, fog/edge computing, Task allocation and scheduling, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Width Multi-Scale Adversarial Domain Adaptation Residual Network with AConvolutional Block Attention Module

Acoustic Emission Source Localization using Approximate Discrete Wavelet Transform

Cnn sensor analytics with hybrid-float6 quantization on low-power embedded FPGAs

Hybrid Genetic Algorithm Combining Simulated Annealing for Task Allocation with Data Security

(POSTER) DNN Task Allocation for Edge-Aided IoT

An adaptive domain adaptation method for rolling bearings’ fault diagnosis fusing deep convolution and self-attention networks

A new cross-domain bearing fault diagnosis framework based on transferable features and manifold embedded discriminative distribution adaption under class imbalance

Approximate Computing in Critical Applications: ECG Arrhythmia Classification

Wanli Yu Information

University

Position

___

Citations(all)

292

Citations(since 2020)

211

Cited By

151

hIndex(all)

11

hIndex(since 2020)

8

i10Index(all)

11

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Wanli Yu Skills & Research Interests

Internet of Things

Sensor networks

fog/edge computing

Task allocation and scheduling

Machine learning

Top articles of Wanli Yu

Title

Journal

Author(s)

Publication Date

A Width Multi-Scale Adversarial Domain Adaptation Residual Network with AConvolutional Block Attention Module

Hongshen Yin

Li Sun

Xiao Yu

Xiaowen Liu

Wanli Yu

2023/2/14

Acoustic Emission Source Localization using Approximate Discrete Wavelet Transform

Ardalan Najafi

Wanli Yu

Yarib Nevarez

Amir Najafi

Andreas Beering

...

2023/6/28

Cnn sensor analytics with hybrid-float6 quantization on low-power embedded FPGAs

IEEE Access

Yarib Nevarez

Andreas Beering

Amir Najafi

Ardalan Najafi

Wanli Yu

...

2023/1/10

Hybrid Genetic Algorithm Combining Simulated Annealing for Task Allocation with Data Security

Wanli Yu

Yanqiu Huang

Yuan Yang

Alberto Garcia-Ortiz

2023/6/19

(POSTER) DNN Task Allocation for Edge-Aided IoT

Wanli Yu

Yanqiu Huang

Ardalan Najafi

Jinming Sun

Yarib Nevarez

...

2023/6/19

An adaptive domain adaptation method for rolling bearings’ fault diagnosis fusing deep convolution and self-attention networks

IEEE Transactions on Instrumentation and Measurement

Xiao Yu

Youjie Wang

Zhongting Liang

Haidong Shao

Kun Yu

...

2023/3/14

A new cross-domain bearing fault diagnosis framework based on transferable features and manifold embedded discriminative distribution adaption under class imbalance

IEEE Sensors Journal

Xiao Yu

Hongshen Yin

Li Sun

Fei Dong

Kun Yu

...

2023/3/1

Approximate Computing in Critical Applications: ECG Arrhythmia Classification

Ardalan Najafi

Amir Najafi

Julia Müller

Wanli Yu

Alberto Garcia-Ortiz

2023/6/28

DiNS: Nature Disaster in Network Simulations

Nisal Hemadasa

Wanli Yu

Yanqiu Huang

Leonardo Sarmiento

Amila Wickramasinghe

...

2022/12/14

An intelligent fault diagnosis scheme for rotating machinery based on supervised domain adaptation with manifold embedding

IEEE Internet of Things Journal

Xiao Yu

Fei Dong

Bing Xia

Shuxin Yang

Enjie Ding

...

2022/11/15

A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions

Measurement

Xiao Yu

Zhongting Liang

Youjie Wang

Hongshen Yin

Xiaowen Liu

...

2022/9/30

A new transferable fault diagnosis approach of rotating machinery based on deep autoencoder and dominant features selection under different operating conditions

Shock and Vibration

Fei Dong

Xiao Yu

Xinguo Shi

Ke Liu

Zhaoli Wu

...

2021/10/30

A joint optimization framework of the embedding model and classifier for meta-learning

Scientific Programming

Zhongyu Liu

Xu Chu

Yan Lu

Wanli Yu

Shuguang Miao

...

2021/10/1

Nonlinear system identification: Prediction error method vs neural network

Jinming Sun

Yanqiu Huang

Wanli Yu

Alberto Garcia-Ortiz

2021/7/5

Efficient attention mechanism for dynamic convolution in lightweight neural network

Applied Sciences

Enjie Ding

Yuhao Cheng

Chengcheng Xiao

Zhongyu Liu

Wanli Yu

2021/3/31

TAAC: Task allocation meets approximate computing for Internet of Things

Wanli Yu

Ardalan Najafi

Yarib Nevarez

Yanqiu Huang

Alberto Garcia-Ortiz

2020/10/12

Sata: An intelligent security aware task allocation for multihop wireless networks

Wanli Yu

Ojo Akinlolu

Yannik Sander

Yanqiu Huang

Alberto Garcia-Ortiz

2020/9/7

Attention-based convolutional LSTM for describing video

IEEE Access

Zhongyu Liu

Tian Chen

Enjie Ding

Yafeng Liu

Wanli Yu

2020/7/21

基于多维度和多模态信息的视频描述方法

通信学报

丁恩杰, 刘忠育, 刘亚峰, 郁万里

2020

Combination of task allocation and approximate computing for fog-architecture-based iot

IEEE Internet of Things Journal

Wanli Yu

Ardalan Najafi

Yanqiu Huang

Alberto Garcia-Ortiz

2020/11/26

See List of Professors in Wanli Yu University(Universität Bremen)

Co-Authors

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