Yaou Zhao

EDBT 2026 Demo / reviewers in the wild / expert

dblp:49/4678 · DBLP profile ↗

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24ranked-venue papers

2as first author

11since 2021 · last 2026

0000-0002-4134-2352ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 20 · 11 since 2021Artificial intelligence and machine learning · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 1

Year	Publication	Venue	Position
2026	Global-Guided Attention Multiple Instance Learning with Spatial-Spectral Priors for fNIRS-Based Pediatric Autism Identification Xianglong Zhang, Yuehui Chen, Qingfang Meng, Kaiyun Li, Yaou Zhao, Ruizhi Han	ICIC (30)	6
2025	Transformer-Based Multi-label Protein Subcellular Localization Prediction Yixin Zhong, Yaou Zhao, Wenxing He, Yuehui Chen, Shuang Cheng	ICIC (28)	4
2025	Disentanglement via Adaptive Information Bottleneck in Latent Dimensions Xiangtian Zheng 0005, Yuehui Chen, Yaou Zhao	ICIC (20)	4
2024	Stroke-Based Few-Shot Chinese Character Style Transfer Guanghao Liu, Yixin Zhong, Yuehui Chen, Yaou Zhao	ICIC (11)	5
2023	FRVidSwin:A Novel Video Captioning Model with Automatical Removal of Redundant Frames Zehao Dong, Yuehui Chen, Yaou Zhao	ICIC (5)	4
2023	CC-DBNet: A Scene Text Detector Combining Collaborative Learning and Cascaded Feature Fusion Wenheng Jiang, Yuehui Chen, Yaou Zhao	ICIC (2)	4
2023	SA-GAN: Chinese Character Style Transfer Based on Skeleton and Attention Model Yuehui Chen, Yaou Zhao	ICIC (2)	4
2023	TAPE-Pero: Using Deep Representation Learning Model to Identify and Localize Peroxisomal Proteins Jianan Sui, Yuehui Chen, Yaou Zhao	ICIC (3)	4
2023	Accurate Identification of Submitochondrial Protein Location Based on Deep Representation Learning Feature Fusion Jianan Sui, Yuehui Chen, Yaou Zhao	ICIC (3)	4
2023	Classification of Coding and Non-coding Genes in Paeonia Lactiflora Pall Based on Machine Learning Bolun Yang, Yuehui Chen, Yaou Zhao	ICIC (3)	3
2023	RA-KD: Random Attention Map Projection for Knowledge Distillation Linna Zhang, Yuehui Chen, Yaou Zhao	ICIC (4)	4
2017	Prediction of Subcellular Localization of Multi-site Virus Proteins Based on Convolutional Neural Networks Dong Wang 0021, Yaou Zhao, Yuehui Chen	ICIC (2)	3
2017	Improved Convolutional Neural Networks for Identifying Subcellular Localization of Gram-Negative Bacterial Proteins Dong Wang 0021, Yaou Zhao, Yuehui Chen	ICIC (2)	3
2017	Credit Risk Assessment Based on Flexible Neural Tree Model Yishen Zhang, Dong Wang 0021, Yuehui Chen, Yaou Zhao, Peng Shao, Qingfang Meng	ISNN (1)	4
2016	Feature Combination Methods for Prediction of Subcellular Locations of Proteins with Both Single and Multiple Sites Dong Wang 0021, Yuehui Chen, Shanping Qiao, Yaou Zhao, Hanhan Cong	ICIC (1)	5
2016	Construction of Protein Phosphorylation Network Based on Boolean Network Methods Using Proteomics Data Yaou Zhao, Shi-Yuan Han, Yuehui Chen, Wenxing He, Likai Dong	ICIC (1)	2
2014	Evolving Additive Tree Model for Inferring Gene Regulatory Networks Guangpeng Li, Yuehui Chen, Bin Yang 0017, Yaou Zhao, Dong Wang 0021	ICIC (3)	4
2012	A Novel Gene Selection Method for Multi-catalog Cancer Data Classification Xuejiao Lei, Yuehui Chen, Yaou Zhao	ICIC (1)	3
2011	Stochastic System Identification by Evolutionary Algorithms Yuehui Chen, Yaou Zhao	ICIC (3)	3
2011	Time-series forecasting using a system of ordinary differential equations Yuehui Chen, Qingfang Meng, Yaou Zhao, Ajith Abraham	Inf. Sci.	4
2008	A Region Reproduction Algorithm for global numerical optimization abstract This paper introduces a novel numerical stochastic optimization algorithm called Region Reproduction Algorithm (RRA) to solve global numerical optimization problems. The algorithm firstly generates some regions in space which the individual in the population exists. Then we evaluate the regions according to the fitness of the individuals in them. The number of offspring in the region is reproduced by the fitness in the regions. With the algorithm goes on, there would be more offspring in the superior regions than the poorer regions. Because the algorithm is more concerned in the superior regions, it has more probability to find the optimal solution than traditional algorithms. Experiments show that the algorithm is more effective and stable in terms of the solution quality and standard deviation compared with other existing methods, such as GA, PSO, Canonical PSO and EO. Yaou Zhao, Yuehui Chen, Meng Pan	IEEE Congress on Evolutionary Computation	1
2008	Multi-layer Ensemble Classifiers on Protein Secondary Structure Prediction Yuehui Chen, Yaou Zhao	ICIC (1)	3
2007	A Novel Ensemble Approach for Cancer Data Classification Yaou Zhao, Yuehui Chen	ISNN (2)	1
2006	Face Recognition Using DCT and Hierarchical RBF Model Yuehui Chen, Yaou Zhao	IDEAL	2