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).
See All News
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.
Nanjing, Jiangsu, China.
Publications (Journal Papers & Conference Papers)
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
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
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
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
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
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
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
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
See All Publications
Theses
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
Academic Related
Academic Service
- Journal Reviewer
- Neural Processing Letters, 2023.
- Scientific Report, 2022.
- The Imaging Science Journal, 2022.
- Current Computer-Aided Drug Design, 2022.
- MDPI Sensors, 2021.
- Conference Reviewer
- International Conference on Computational Biology and Biomedical Science (CBBS 2022), 2023.
- International Conference on Computer Technology and Information Science (CTIS 2023), 2023.
- The Seventh International Conference on Energy Engineering and Environmental Protection (EEEP2022), 2022.
- ACM The 6th International Conference on Computer Science and Application Engineering (CSAE 2022), 2022, Certificate.
- International Conference on Optoelectronic Information and Computer Engineering (OCIE 2022), 2022.
- Book Reviewer
- Book entitled–‘Digital Innovation Adoption: Architectural Recommendations and Security Solutions’, 2022.
- Teaching Activity
- Teaching assistant of Pattern recognition (bilingual instruction), Spring 2023, Southeast University.
- Teaching assistant of Edu-By: The Time of Robotics - Artificial Intelligence and Social Change (博雅课：机器人时代 - 人工智能与社会变革), Fall 2021, Nanjing Normal University.
- Teaching assistant of Artificial Intelligence and Big Data, Spring 2022, Nanjing Normal University.
- Security Administrator for the Institute of Information and Control Technologies, School of Electric and Autumation Engineerning, 2020-2021, Nanjing Normal University.
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
