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Peng Song (宋鹏)
I received my PhD and M.S. degrees in EE from School of Information Science and Engineering, Southeast University, China in 2014 and 2009, respectively. Before that, I got my Bachelor's degree in EE from Shandong University of Science and Technology, China in 2006. From 2007 to 2008, I was a research intern at speech group of Microsoft Research Asia. From 2009 to 2011, I worked as a software engineer at Motorola China Software R&D Center. My currewnt research interests include affective computing, speech signal processing, machine Learning, and pattern recognition.
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Basic Inforamtion
Afflication： School of Computer and Control Engineering, Yantai University
Title： Associate Professor
E-mail： pengsongseu@gmail.com, pengsong@ytu.edu.cn
Office： 30, Qingquan RD, Laishan District, Yantai, China
News
Selected Publication: （Google Scholar）
# Students，* Corresponding author
- Run Wang#, Peng Song*, Wenming Zheng. Graph-Diffusion-Based Domain-Invariant Representation Learning for Cross-Domain Facial Expression Recognition. IEEE Transactions on Computational Social Systems. 2024. DOI: 10.1109/TCSS.2024.3355113. [PDF]
- Run Wang#, Peng Song*, Shaokai Li, Liang Ji, Wenming Zheng. Common Latent Embedding Space for Cross-Domain Facial Expression Recognition. IEEE Transactions on Computational Social Systems. 2024, 11(2): 2046-2056. [PDF]
- Wenjing Zhang#, Peng Song*, Wenming Zheng. Joint Local-Global Discriminative Subspace Transfer Learning for Facial Expression Recognition. IEEE Transactions on Affective Computing. 2023, 14(3), 2484-2495. [PDF]
- Shaokai Li#, Peng Song*, Wenming Zheng. Multi-Source Discriminant Subspace Alignment for Cross-Domain Speech Emotion Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023, 31, 2448-2460. [PDF] [code]
- Dongliang Chen#, Peng Song*, Wenming Zheng. Learning Transferable Sparse Representations for Cross-corpus Facial Expression Recognition. IEEE Transactions on Affective Computing. 2023, 14(2):1322-1333. [PDF]
- Weijian Zhang#, Peng Song*, Dongliang Chen, Chao Sheng, Wenjing Zhang. Cross-corpus Speech Emotion Recognition Based on Joint Transfer Subspace Learning and Regression. IEEE Transactions on Cognitive and Developmental Systems. 2022, 14(2): 588-598. [PDF]
- Peng Song*, Wenming Zheng, Yanwei Yu, Shifeng Ou. Speech Emotion Recognition Based on Robust Discriminative Sparse Regression. IEEE Transactions on Cognitive and Developmental Systems, 2021, 2, 343-353. [PDF]
- Peng Song*, Wenming Zheng. Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition. IEEE Transactions on Affective Computing. 2020, 11(3): 373-382. [PDF]
- Tengfei Song, Wenming Zheng, Peng Song, Zhen Cui, EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks, IEEE Transactions on Affective Computing. 2020, 11(3): 532-541. [PDF]
- Weijian Zhang#, Peng Song*. Transfer sparse discriminant subspace learning for cross-corpus speech emotion recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2020, 28, 307-318. [PDF]
- Peng Song*. Transfer Linear Subspace Learning for Cross-corpus Speech Emotion Recognition. IEEE Transactions on Affective Computing. Vol. 10, No. 2, pp. 265-275, 2019. [PDF]
- Xiangyu Liu#, Peng Song*. Incomplete Multi-view Clustering via Virtual-label Guided Matrix Factorization. Expert Systems With Applications 2022, 210, 118408. [PDF]
- Shixuan Zhou#, Peng Song*, Yanwei Yu, Wenming Zheng. Structural regularization based discriminative multi-view unsupervised feature selection. Knowledge-Based Systems 2023, 223, 110601. [PDF] [code]
- Zhaohu Liu#, Peng Song*. Deep Low-rank Tensor Embedding for Multi-view Subspace Clustering. Expert Systems With Applications 2024, 237, Part C, 121518. [PDF]
Activies
Reviewers：* IEEE Transactions on Affective Computing、IEEE-ACM Transactions on Audio, Speech and Language Processing、IEEE Signal Processing Magazine IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Circuits and Systems for Video Technology、IEEE Multimedia、IEEE Signal Processing Letters、Neural Networks、Speech Communication、Information Science、 Neurocomputing、Information Fusion、Signal Processing、 Applied Acoustics、 Computer Speech&Languang、 Biomedical Signal Processing and Control、INTERSPEECH, ICASSP, NCMMSC, ICPR …
Students
Resources
Update：2023/09/21