wenbohuang1002@LIFE:~/$



About Me

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 from Nanjing Normal University, Nanjing, China, in 2022. Now I am a Ph.D student under the Excellent Ph.D Training Program and pursuing my degree in School of Computer Science and Engineering, Southeast University, Nanjing, China. My research interests including Video Analytics, Multimedia, and Ubiquitous Computing. I am also an animal lover (fahlo link).

I was lucky enough to get away from a torture group (2022.9~2023.9).

CV

You can download my latest CV (English Version and Chinese Version).
CV was last updated on 2024.7.28.

News

2024.10.21: I am nominated as an outstanding reviewer by ACM MM 2024.

2024.9.26: One paper is accepted by 2024 the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024 Oral).

2024.9.8: One paper is accepted by IEEE Transactions on Neural System and Rehabilitation Engineering (IEEE TNSRE).

2024.8.25: I am invited by ICLR 2025 and AISTATS 2025 as a reviewer.

2024.8.2: I am invited by IEEE TMM as a reviewer.

2024.7.16: One paper is accepted by 2024 the 32nd ACM International Conference on Multimedia (ACM MM 2024).

2024.5.26: I am invited by NeurIPS 2024 as a reviewer.

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我自己

Wenbo Huang (The left one)
黄文博 (左一)
Unknown room, Computer Building.
School of Computer Science and Engineering.
Southeast University (SEU), Jiulong Lake Campus (📍Maps).
No.2 Southeast University Road, Moling Street, 211189 Post Code, Nanjing, Jiangsu, China.

Conference Publication

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition

An intsereting work on few-shot action recognition, which is a challenging task in high frame-rate videos.

Wenbo Huang, Jinghui Zhang*, Xuwei Qian, Zhen Wu, Meng Wang, Lei Zhang

MM 2024-1 (Conference Paper)

2024 the 32nd ACM International Conference on Multimedia, Melbourne, Australia (CCF Rank A, Poster Presentation, Accept Rate 26.2%)

DOI: 10.1145/3664647.3681062

PDF PDF (Full edition) Poster Code (GitHub) OpenReview Cite by bib

E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

An amazimg work on Multimodal Fusion Detection.

Jiaqing Zhang, Mingxiang Cao, Xue Yang*, Weiying Xie*, Jie Lei, Daixun Li, Geng Yang, Wenbo Huang, Yunsong Li

NeurIPS 2024-1 (Conference Paper)

2024 the 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada (CCF Rank A, Oral Presentation, Accept Rate 25.8%)

DOI: xx.xxxx/xxxxx.xxxxxx

PDF Code (GitHub) Cite by bib


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Journal Publication

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, Aiguo Song

TMC 2022-1 (Journal Paper)

IEEE Transactions on Mobile Computing (CCF Rank A, IF=7.9, ESI Top 1% Highly Cited)

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, Aiguo Song

TECS 2022-1 (Journal Paper)

ACM Transactions on Embedded Computing Systems (CCF Rank B, IF=2.0, ESI Top 1% Highly Cited)

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, 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=7.7)

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, Jun He

TIM 2021-1 (Journal Paper)

IEEE Transactions on Instrumentation and Measurement (CIS Rank T1, CAA Rank B, IF=5.6)

DOI: 10.1109/TIM.2021.3091990

PDF Code (GitHub) Code (In Jittor) Website Online 中译版 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

  • Journal Reviewer
    • IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
    • IEEE Transactions on Multimedia (IEEE TMM).
    • Elsevier Neurocomputing.
    • IEEE Sensors.
    • Scientific Report.
  • Conference Reviewer
    • The International Conference on Learning Representations (ICLR), 2025.
    • The Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
    • The ACM International Conference on Multimedia (ACM MM), 2024 (Outstanding Reviewer).
    • The International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
    • The ACM International Conference on Computer Science and Application Engineering (CSAE), 2022, Certificate.
  • Book Reviewer
    • Book entitled–‘Digital Innovation Adoption: Architectural Recommendations and Security Solutions’, 2022.
  • Teaching Activity
    • Teaching assistant of Operating System (bilingual instruction), Spring 2023, Southeast 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.
  • Honor
    • Outstanding graduate, 2022, Nanjing Normal University, Certificate.
    • Outstanding postgraduate (rank 3, total 31), 2021, Nanjing Normal University, Certificate.





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