About Me (Xero)

I come from Nanjing, Jiangsu, China, where is known as ‘Capital of Six Dynasties’ and ‘City of Stone’. I was a script kiddie and received the B.S. degree from Nanjing Tech University, Nanjing, China, in 2019. I received the M.S degree with the supervision by A.P Lei Zhang from Nanjing Normal University, Nanjing, China, in 2022. Now I am a Ph.D student and pursuing my degree with the supervision by Prof. Hui Xue in School of Computer Science and Engineering, Southeast University, Nanjing, China.
My research interests including Ubiquitous Computing and Machine Learning. I am also an animal lover. PS:为了更新简历,我还tm花99买了超级简历的终生会员。

CV

You can download my latest CV (English Version and Chinese Version).
CV was last updated on 2022.7.22.

News

2022.7.22 : A paper on Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation is accepted by ACM Transactions on Embedded Computing Systems (ACM TECS).

2022.5.10 : A paper on Channel-Equalization-HAR: A Light-weight Convolutional Neural Network for Wearable Sensor Based Human Activity Recognition is accepted by IEEE Transactions on Mobile Computing (IEEE TMC).

2022.2.28 : A paper on Deformable Convolutional Networks for Multimodal Human Activity Recognition using Wearable Sensors is accepted by IEEE Transactions on Instrumentation and Measurement (IEEE TIM).

2022.2.25 : A paper on Human Activity Recognition Using Wearable Sensors by Heterogeneous Convolutional Neural Networks is accepted by Elsevier Expert Systems with Applications (ESWA).

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Wenbo Huang (The left one)

黄文博 (左一)

211189 post code, 206 room, Computer Building, Jiulong Lake Campus (Maps).

School of Computer Science and Engineering.

MOE Key Laboratory of Computer Network and Information Integration.

Computer Experimental Teaching Center.

Southeast University (SEU).

Nanjing, Jiangsu, China.

Publications (Journal Papers & Conference Papers)

Channel-Equalization-HAR: A Light-weight Convolutional Neural Network for Wearable Sensor Based Human Activity Recognition

We provide an alternative called Channel Equalization in this paper to reactivate these inhibited channels by performing whitening or decorrelation operation, which compels all channels to contribute more or less to feature representation.

Wenbo Huang , Lei Zhang*, Hao Wu, Fuhong Min and Aiguo Song

TMC 2022-1 (Journal Paper)

IEEE Transactions on Mobile Computing (CCF Rank A, IF=6.075)

DOI: 10.1109/TMC.2022.3174816

PDF Code (GitHub) Code (In Jittor) Website Online 中译版 Cite by bib

Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation

We propose a novel CNN for HAR that uses filter activation. In comparison with filter pruning that is motivated for efficient consideration, filter activation aims to activate these invalid filters from an accuracy boosting perspective.

Wenbo Huang , Lei Zhang*, Shuoyuan Wang, Hao Wu and Aiguo Song

TECS 2022-1 (Journal Paper)

ACM Transactions on Embedded Computing Systems (CCF Rank B, IF=1.886)

DOI: 10.1145/3551486

PDF Code (GitHub) Code (In Jittor) Website Online 中译版 Cite by bib

The Convolutional Neural Networks Training with Channel-Selectivity for Human Activity Recognition Based on Sensors

We use the Channel-selectivity method to greatly improve the classification accuracy of the sensor signals by CNN without increasing the parameters.

Wenbo Huang , Lei Zhang*, Qi Teng, Chaoda Song and Jun He

JBHI 2021-1 (Journal Paper)

IEEE Journal of Biomedical and Health Informatics (Old Name:IEEE Transactions on Information Technology in Biomedicine, CCF Rank C, IF=7.021)

DOI: 10.1109/JBHI.2021.3092396

PDF Code (GitHub) Code (In Jittor) Website Online 中译版 Cite by bib

Shallow Convolutional Neural Networks for Human Activity Recognition using Wearable Sensors

We pay more attention to Cross-channel-communication and apply it on CNN. This method can make shallow CNNs have a similar performance with deep CNNs when classify sensor singal.

Wenbo Huang, Lei Zhang*, Wenbin Gao , Fuhong Min and Jun He

TIM 2021-1 (Journal Paper)

IEEE Transactions on Instrumentation and Measurement (CIS Rank T1, CAA Rank B, IF=5.332)

DOI: 10.1109/TIM.2021.3091990

PDF Code (GitHub) Code (In Jittor) Website Online 中译版 Cite by bib

Deep Neural Networks for Sensor-Based Human Activity Recognition Using Selective Kernel Convolution

We use Selective Kernal Convolution on CNN. This method improves the performance of deep neural networks.

Wenbin Gao, Lei Zhang*, Wenbo Huang, Fuhong Min, Jun He and Aiguo Song

TIM 2021-2 (Journal Paper)

IEEE Transactions on Instrumentation and Measurement (CIS Rank T1, CAA Rank B, IF=5.332)

DOI: 10.1109/TIM.2021.3102735

PDF Code (GitHub) Website Online Cite by bib

Deep Convolutional Networks with Tunable Speed-Accuracy Trade-off for Human Activity Recognition Using Wearables

We use Tunable Speed-Accuracy Trade-off on CNN. This method can complete Human Activity Recognition tasks more effectiviely.

Xing Wang, Lei Zhang*, Wenbo Huang, Shuoyuan Wang, Jun He and Aiguo Song

TIM 2021-3 (Journal Paper)

IEEE Transactions on Instrumentation and Measurement (CIS Rank T1, CAA Rank B, IF=5.332)

DOI: 10.1109/TIM.2021.3132088

PDF Code (GitHub) Website Online Cite by bib

Deformable Convolutional Networks for Multimodal Human Activity Recognition using Wearable Sensors

Deformable Convolutional Networks for Multimodal Human Activity Recognition.

Suige Xu, Lei Zhang*, Wenbo Huang, Hao Wu and Aiguo Song

TIM 2022-1 (Journal Paper)

IEEE Transactions on Instrumentation and Measurement (CIS Rank T1, CAA Rank B, IF=5.332)

DOI: 10.1109/TIM.2022.3158427

PDF Code (GitHub) Website Online Cite by bib

Human Activity Recognition Using Wearable Sensors by Heterogeneous Convolutional Neural Networks

We use Heterogeneous Convolutional Neural Networkse on Human Activity Recognition tasks.

Chaolei Han, Lei Zhang*, Yin Tang, Wenbo Huang, Fuhong Min and Jun He

ESWA 2022-1 (Journal Paper)

Elesvier Expert Systems with Applications (CCF Rank C, IF=8.665)

DOI: 10.1016/J.ESWA.2022.116764

PDF Code (GitHub) Website Online Cite by bib


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Theses

Research on Multiple-Channel Convolutional Neural Network based Human Activity Recognition

Learning the influence of multiple channels on CNN based HAR tasks. Because of some people’s obstruction, this work process is very bumpy.

Wenbo Huang

Master Thesis, School of Electrical and Automation Engineering, Nanjing Normal University; June, 2022

PDF Slide

 

Academic Service

Award & Honor

  • Scholarship
    • Freshman Scholarship (Excellent Ph.D Training Program, total 50), 2022, Southeast University, Certificate.
    • National Scholarship for Postgraduate Students (rank 1, total 65), 2021, The Chinese Ministry of Education (MOE), Certificate No.SSY202120653.
    • First-class Academic Scholarship (rank 6, total 65), 2021, Nanjing Normal University.
  • Competition
    • Provincial Third Prize, The 17th ‘Challenge Cup’ National University Student Extracurricular Academic Science and Technology Works Competition ‘Science and Technology’ Special Competition, 2021, Jiangsu Province/Central Committee of the Communist Youth League/China Association for Science and Technology/The Chinese Ministry of Education (MOE) /Chinese Academy of Social Sciences/National Federation of Students.
  • Honor
    • Outstanding graduate, 2022, Nanjing Normal University, Certificate.
    • Outstanding postgraduate (rank 3, total 31), 2021, Nanjing Normal University, Certificate.

Research Partners (Partial)

Supervisors

Hui Xue
Ph.D Supervisor

Lei Zhang
Master Supervisor

Instructors

Jun He

Hao Wu

Aiguo Song





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