Miao Cheng, Feiyan Zhou, Hongwei Zou, Limin Wang, Shrinkage Initialization for Smooth Learning of Neural Networks. in Proc. International Conference on Big Data and Computing, Bangkok, Thailand, 2024.
PDFSlides
Miao Cheng, Xiulan Cheng, Feiyan Zhou, Query Learning on the Semisupervised Margin. in Proc. International Conference on Computational Intelligence and Applications, Haikou, China, 2024.
PDFSlides
2023
Miao Cheng, Limin Wang, Graph Routes from Local and Global Entrances. in Proc. International Conference on Big Data Technologies, Qingdao, China, 2023.
PDFSlides
2022
Miao Cheng, Xinge You, Leachable Component Clustering. in Proc. International Conference on Pattern Recognition, Montreal, Canada, 2022.
ePosterElevatorVoicePaper
Miao Cheng, Feiyan Zhou, Jingli Wu, Online Nonnegative Matrix Factorization with Temporal Affinity. in Proc. International Conference on Signal and Image Processing, Suzhou, China, 2022.
PDFSlides
2021
Miao Cheng, Feiyan Zhou, Huimin Zhang, Hongwei Zou, Jingli Wu, Function Approximation for Adaptive Learning of Label Distributions. in Proc. International Conference on Signal and Image Processing, Nanjing, China, 2021.
PDFSlides
2020
Miao Cheng, Xinge You, Adaptive Matching of Kernel Means. in Proc. International Conference on Pattern Recognition, Milan, Italy, 2020.
PDFarXivPosterSlides
Miao Cheng, IVP-LDL: Label Distribution Learning via Preservation of Information Volumes. in Proc. International Conference on Advanced Computational Intelligence, Dali, China, 2020.
PDF
2019
Miao Cheng, Weibin Yang, Yonggang Li, Shichao Zhang, Ah Chung Tsoi, Yuan Yan Tang, Sequential Pattern Learning via Kernel Alignment. in Proc. International Conference on Advanced Computational Intelligence, Guilin, China, 2019.
PDFSlides
2018
Miao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi, A Family of Maximum Margin Criterion for Adaptive Learning. in Proc. International Conference on Neural Information Processing, Siem Reap, Cambodia, 2015.
PDFarXivSlides
2017
Miao Cheng, Ah Chung Tsoi, Fractal Dimension Pattern-based Multiresolution Analysis for Rough Estimator of Speaker-dependent Audio Emotion Recognition. International Journal of Wavelets, Multiresolution and Information Processing, vol. 15, no. 5, pp. 1750042:1-1750042:17, 2017.
PDF
2016
Miao Cheng, Ah Chung Tsoi, Adaptive Training of Random Mapping for Data Quantization. Technical Report: atq1606.08808,
arXiv
2015
Miao Cheng, Ah Chung Tsoi, CRH: A Simple Benchmark Approach to Continuous Hashing, in Proc. Global Conference on Signal and Information Processing, Orlando, USA, 2015.
arXivPDFSlides
For the past publications of mine, please visit my
DBLP
page.
