Song has conducted in-depth research in machine learning, intelligent signal processing, big data analysis, and deep learning. He has presided over the National Youth Fund and the Youth Project of Science and Technology Research Program of Chongqing Education Commission of China. At present, more than 30 pieces of SCI retrieval papers have been published in important journals and conferences at home and abroad, such as “Pattern Recognition Letters”, “Computer & Geoscience”，“Geophysical Prospecting”，“IEEE Geoscience and remote sensing letters” and “IEEE International Conference on acoustics, speech, and signal processing”.
📖 Educations and Employment Histroy
- 2020.01 - now: Chongqing University of Technology, Department of Big Data and Machine Learning, Associate Professor
- 2018.01 - 2020.12: Chongqing University of Technology, Department of Big Data and Machine Learning, Lecturer
- 2024.09 - 2025.06: University of Science and Technology of China, Visiting Scholar, Supervisor: Wu Xinming
- 2021.01 - 2024.05: Joint postdoctoral fellow of Changan Automobile Co., Ltd. and Chongqing University, Supervisor: Feng Gang, Zhang Xiaohong
- 2013.09 - 2017.12: University of Electronic Science and Technology of China, School of Information and Communication Engineering, Ph.D., Supervisor: Hu Guangmin, Li Xingming
💻 Research Interests
- Intelligent Signal Analysis
- Cluster Analysis
- Image Denoising
- Computer Vision
🔥 News
- 2025.01: 🎉🎉 Seven of our students won one first prize and two second prizes at the university level in the Huawei Cup National Graduate Student Mathematical Modeling Competition.
- 2024.11: 🎉🎉 Zhang Tian won the Second Prize in the Huawei Cup Graduate Mathematical Modeling Competition.
- 2024.06: 🎉🎉 Congratulations to Li Chengxi, Zhang Kai, Gou Pengfei and Gou Yi on obtaining their master’s degrees. During their postgraduate period, they published three papers, won 3 postgraduate innovation projects and the third prize in the Asia-Pacific Mathematical Modeling Competition.
- 2023.09: 🎉🎉 Congratulations to Li Lin and Qiu Lianpeng on winning the Excellent Master’s Thesis Awards.
- 2023.06: 🎉🎉 Congratulations to Li Lin, Qiu Lianpeng, Zhang Yin and Xiong Chuanchao on obtaining their master’s degrees. During their postgraduate period, they published 6 SCI papers, won 3 postgraduate innovation projects and the third prize in the National Mathematical Modeling Competition.
- 2022.06: 🎉🎉 Congratulations to Wu Ziteng and Chen Yunqing on obtaining their master’s degrees. During their postgraduate period, they published 2 papers and won 1 postgraduate innovation project.
- 2021.06: 🎉🎉 Congratulations to Li Lingxuan on obtaining the master’s degree. During the postgraduate period, he published 2 SCI papers.
📝 Publications
2024
ESDTW: Extrema-based shape dynamic time warping
Qiu, Lianpeng, Cuipeng Qiu, and Chengyun Song
Details:
- This paper develop the extrema-based shape dynamic time warping (ESDTW) for the purpose of fast and accurate alignment of time series, and has pulished in Expert Systems with Applications 239 (2024): 122432. paper（SCI, 一区）
- Aoxiang Ning, Minglong Xue, Jinhong He, Chengyun Song. “KAN see in the dark.” arXiv preprint arXiv:2409.03404, 2024. paper
- Jinhong He, Minglong Xue, Aoxiang Ning, Chengyun Song. “Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement.” Asian Conference on Machine Learning, Hanoi, Vietnam, 2024 paper (CCF推荐国际会议)
- Chengyun Song, Shutao Guo, Chuanchao Xiong, Jiying Tuo. “Regularized deep learning for unsupervised random noise attenuation in poststack seismic data.” Journal of Geophysics and Engineering 21.1 (2024): 60-67. paper（SCI, JCR三区）
2023
- Lin Li, Xiang Chen, Chengyun Song. “A self-adaptive graph-based clustering method with noise identification.” Pattern Analysis and Applications 26.3 (2023): 907-916. paper（SCI, 四区, CCF推荐期刊）
- Li, Lin, Xiang Chen, and Chengyun Song. “NonPC: Non-parametric clustering algorithm with adaptive noise detecting.” Intelligent Data Analysis 27.5 (2023): 1347-1358. paper（SCI, 四区, CCF推荐期刊）
2022
PSND: A Robust Parking Space Number Detector
Yin Zhang, Chengyun Song, Minglong Xue
Details:
- This paper collected and annotated 9000 parking space number images, and proposes a robust parking space number detector (PSND) algorithm, which has publised in 2022 26th International Conference on Pattern Recognition (ICPR), 2022 paper (CCF推荐国际会议)
A robust clustering method with noise identification based on directed K-nearest neighbor graph
Lin Li, Xiang Chen, Chengyun Song
Details:
- This paper proposes a robust clustering method with noise cutting based on directed k-nearest neighbor graph (CDKNN) to identify the desired cluster number automatically and produce reliable clustering results, and has pulished in Neurocomputing 508 (2022): 19-35. paper（SCI, 二区, CCF推荐期刊）
- Chengyun Song, Lianpeng Qiu, Yunqing Chen, Kunhong Li. “Dynamic subwindow matching: A new similarity measure for seismic facies analysis.” Geophysical Prospecting 70.7 (2022): 1129-1142. paper（SCI, 三区）
before 2022
- Song, Chengyun, et al. “Robust K-means algorithm with weighted window for seismic facies analysis.” Journal of Geophysics and Engineering 18.5 (2021): 618-626. paper（SCI, 三区）
- Song, Chengyun, et al. “Application of Dynamic Time Warping in Weighted Stacking of Seismic Data.” IEEE Geoscience and Remote Sensing Letters 19 (2021): 1-5. paper（SCI, 二区, CCF推荐期刊）
- Bin She, Yaojun Wang, Jiandong Liang, Zhining Liu, Chengyun Song, and Guangmin Hu. “A data-driven amplitude variation with offset inversion method via learned dictionaries and sparse representation.” Geophysics, 2018, 83(6): R725-R748. paper（SCI, 二区）
- Song, Chengyun, et al. “Adaptive phase k-means algorithm for waveform classification.” Exploration Geophysics 49.2 (2018): 213-219. paper（SCI, 四区）
- Chengyun Song, et al. “Multi-waveform classification for seismic facies analysis.” Computers & Geosciences, 2017, 101: 1-9. paper（SCI, 二区, CCF推荐期刊）
⭐️ Join Us?
Discussions or cooperations are warmly welcome. If you want to join my group, please feel free to contact me via Email at scyer123@163.com.