Wei Xie (谢 伟)

I am currently a Ph.D. student in the School of Electronic & Information Engineering, South China University of Technology (SCUT), supervised by Prof. Qianhua He. Before that, I received the M.Eng. degree in Information and Communication Engineering from Guangdong University of Technology (GDUT), China in 2017, supervised by Prof. Nian Cai.

My research interests include various aspects of Signal Analysis and Machine Intelligence. My recent research is focus on Computational Analysis of Environmental Sound in real life scenarios.

News

• [2023.05] Two papers on Few-shot class-incremental audio classfication are accepted by INTERSPEECH 2023.

• [2023.05] One paper on Few-shot class-incremental audio classfication is accepted by IEEE Transactions on Multimedia.

• [2023.04] One paper on Few-shot class-incremental audio classfication is accepted by Expert Systems with Applications.

• [2023.02] One paper on Knowledge Distillation is accepted by IEEE ICASSP 2023.

• [2022.06] One paper on Violence Detection is accepted by IEEE Transactions on Multimedia.

• [2022.01] One paper on Acoustic Scene Classification is accepted by Digital Signal Processing.

• [2021.10] Two papers on Acoustic Scene Classification are accepted by IEEE ICCT 2021.

• [2018.07] We have published a fruit images data set on Zenodo.

• [2020.10] We got the 9th Place on 2020 iFLYTEK developer competition - multilingual recognition challenge.

Publications [ Google Scholar ]

• Few-shot class-incremental audio classification via discriminative prototype learning
  Wei Xie; Yanxiong Li; Qianhua He; Wenchang Cao
  Expert Systems with Applications (ESWA) Volume 225, 1 September 2023, 120044
  

• Clean Sample Guided Self-Knowledge Distillation for Image Classification
  Jiyue Wang; Yanxiong Li; Qianhua He; Wei Xie
  2023 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP 2023)
  

• Audiovisual Dependency Attention for Violence Detection in Videos
  Wenfeng Pang; Wei Xie^#; Qianhua He; Yanxiong Li; Jichen Yang
  IEEE Transactions on Multimedia (IEEE TMM) 2022.3184533
  

• Deep mutual attention network for acoustic scene classification
  Wei Xie; Qianhua He; Zitong Yu; Yanxiong Li
  Digital Signal Processing (DSP) (2022): 103450.
  

• Acoustic Scene Classification Using Deep CNNs With Time-Frequency Representations
  Wei Xie; Qianhua He; Haikang Yan; Yanxiong Li
  2021 IEEE 21st International Conference on Communication Technology (ICCT) 2021 Oct 13 (pp. 1325-1329). IEEE.
  

• Acoustic Scene Classification Using Aggregation of Two-Scale Deep Embeddings
  Ho Ka Chon; Yanxiong Li; Wenchang Cao; Qisheng Huang; Wei Xie; Wenfeng Pang; Jiyue Wang
  2021 IEEE 21st International Conference on Communication Technology (ICCT) 2021 Oct 13 (pp. 1341-1345). IEEE.
  

• A novel error compensation method for an absolute optical encoder based on empirical mode decomposition
  N Cai, Wei Xie, H Peng, H Wang, Z Yang, X Chen
  Mechanical Systems and Signal Processing (MSSP), 88, 81-88 2017
  

• ECG baseline wander correction based on ensemble empirical mode decomposition with complementary adaptive noise
  Weiwei Huang, Nian Cai, Wei Xie, Qian Ye, Zhijing Yang
  Journal of Medical Imaging and Health Informatics 5 (8), 1796-1799, 2015
  

• Ensemble Empirical Mode Decomposition Base on Complementary Adaptive Noises
  Nian Cai, Weiwei Huang, Wei Xie, Qian Ye, Zhijing Yang
  Journal of Electronics & Information Technology, 15, 2015
  

• Crnn-Ctc Based Mandarin Keywords Spotting
  Haikang Yan, Qianhua He, Wei Xie
  2020 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP 2020)
  

Academic Services

• Invited Reviewer:
  IEEE Signal Processing Letters (since 2020)
  Journal of Engineering and Applied Science (since 2022)
  International Journal of Electrical and Computer Engineering Systems (since 2022)
  PeerJ Computer Science （since 2023）
  NCIT2022-International Conference on Networks, Communication and Information Technology (2022)
  The 5th International Conference on Machine Learning and Intelligent Systems (MLIS 2023)
  

Awards (selected)

• Outstanding Graduates of GDUT , 2017
  

• National Scholarship, 2016
  

• First-class Academic Scholarship of GDUT , 2016
  

• First-class Academic Scholarship of GDUT , 2015