Ang Bian
Orcid: 0000-0002-7667-9780
According to our database1,
Ang Bian authored at least 23 papers
between 2016 and 2026.
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Bibliography
2026
MODIFy : A multi-modal anomaly diagnosis framework with diffusion-enhanced adaptive fusion in microservices.
J. Syst. Softw., 2026
Adaptive two-dimensional time-frequency fusion network for non-independent and identically distributed multivariate time series forecasting.
Inf. Sci., 2026
CICFormer: An efficient unsupervised performance anomaly detection model based on temporal context attention and interactive convolution for fluctuating cloud environments.
Future Gener. Comput. Syst., 2026
Gated Memory-Guided Multi-scale spatio-temporal-spectral feature fusion network for unsupervised Internet of Things time series anomaly detection.
Eng. Appl. Artif. Intell., 2026
Eng. Appl. Artif. Intell., 2026
2025
An Optical Sensing Method for Lung Deposition Surface Area Concentration Measurement.
IEEE Trans. Instrum. Meas., 2025
Auxiliary Variables Enhanced Intra- and Inter-series Tokenization for Multivariate Time Series Forecasting.
Proceedings of the Web and Big Data - 9th International Joint Conference, 2025
2024
UniGrad-FS: Unified Gradient Projection With Flatter Sharpness for Continual Learning.
IEEE Trans. Ind. Informatics, December, 2024
Learning to cluster person via graph convolution networks for video-based person re-identification.
Concurr. Comput. Pract. Exp., August, 2024
DECA-Net: Dual encoder and cross-attention fusion network for surgical instrument segmentation.
Pattern Recognit. Lett., 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Scattered Mountainous Area Building Extraction From an Open Satellite Imagery Dataset.
IEEE Geosci. Remote. Sens. Lett., 2023
A two-Dimensional Difference Histogram Equalization with fuzzy Cumulative Distribution Correction for dark Images.
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Pattern Recognit., 2022
A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation.
Proceedings of the Pattern Recognition, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Proceedings of the Computer Analysis of Images and Patterns, 2021
2018
PhD thesis, 2018
2017
An Enhanced Multi-label Random Walk for Biomedical Image Segmentation Using Statistical Seed Generation.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017
2016
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016
T-Test Based Adaptive Random Walk Segmentation Under Multiplicative Speckle Noise Model.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016