Shaokai Wang

According to our database, Shaokai Wang authored at least 30 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Application of machine learning in drug side effect prediction: databases, methods, and challenges.

Haochen Zhao, Jian Zhong, Xiao Liang, Chenliang Xie, Shaokai Wang

Frontiers Comput. Sci., May, 2025

2024

Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer.

Xianhong Zhu, Xiaohui Huang, Weijia Cao, Xiaofei Yang, Yunfei Zhou, Shaokai Wang

Remote. Sens., April, 2024

Deep Learning Methods for Novel Peptide Discovery and Function Prediction.

Shaokai Wang

PhD thesis, 2024

PrSMBooster: Improving the Accuracy of Top-Down Proteoform Characterization Using Deep Learning Rescoring Models.

Jiancheng Zhong, Chen Yang, Maoqi Yuan, Shaokai Wang

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Novel Fine-Tuning Strategy on Pre-trained Protein Model Enhances ACP Functional Type Classification.

Shaokai Wang, Bin Ma

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

2023

Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning.

Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang

ACM Trans. Intell. Syst. Technol., April, 2023

Stress Online Monitoring Method Based on Multifrequency SH0 Guided Wave Information Fusion.

Weijia Shi, Jiaxin Li, Sen Deng, Shaokai Wang, Bo Zhao, Jiubin Tan

IEEE Trans. Instrum. Meas., 2023

NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry.

Shaokai Wang, Ming Zhu, Bin Ma

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

An Integrated Calibration Scheme for Attitude Benchmark of Micro-nano Satellites and Its Experiments Based on In-Orbit Data.

Mingqun Li, Tong Luo, Shaokai Wang, He Li, Yongjun Lei, Qinghua Jiang

Proceedings of the 8th International Conference on Automation, 2023

Deep learning boosted amyloidosis diagnosis.

Shaokai Wang, Bin Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A similarity-based deep learning approach for determining the frequencies of drug side effects.

Haochen Zhao, Shaokai Wang, Kai Zheng, Qichang Zhao, Feng Zhu, Jianxin Wang

Briefings Bioinform., 2022

SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networks.

Shaokai Wang, Haochen Zhao

Briefings Bioinform., 2022

Partial label learning with noisy side information.

Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng

Appl. Intell., 2022

2021

Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding.

Pengbo Xiong, Shaokai Wang, Weibo Wang, Qixin Ye, Shujiao Ye

Sensors, 2021

2020

MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries.

Tao Li, Shaokai Wang, Feng Luo, Fang-Xiang Wu, Jianxin Wang

Bioinform., 2020

2019

Identification and Compensation of Dynamic Interaction in a Non-Contact Dual-Stage Actuator System.

Shaokai Wang, Jinxin Hu, Changqi Li, Jiubin Tan

Sensors, 2019

Anchor Link Prediction across Attributed Networks via Network Embedding.

Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du

Entropy, 2019

A Fast Approach of Provisioning Virtual Machines by Using Image Content Similarity in Cloud.

Huixi Li, Shaokai Wang, Chang Ruan

IEEE Access, 2019

2018

Parameterized counting matching and packing: A family of hard problems that admit FPTRAS.

Yunlong Liu, Shaokai Wang, Jianxin Wang

Theor. Comput. Sci., 2018

Multi-attribute and relational learning via hypergraph regularized generative model.

Shaokai Wang, Xutao Li, Yunming Ye, Xiaohui Huang, Yan Li

Neurocomputing, 2018

Computational drug repositioning using low-rank matrix approximation and randomized algorithms.

Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang

Bioinform., 2018

A secure data collection scheme based on compressive sensing in wireless sensor networks.

Ping Zhang, Shaokai Wang, Kehua Guo, Jianxin Wang

Ad Hoc Networks, 2018

2017

Semi-supervised Collective Classification in Multi-attribute Network Data.

Shaokai Wang, Yunming Ye, Xutao Li, Xiaohui Huang, Raymond Y. K. Lau

Neural Process. Lett., 2017

Multi-view learning via multiple graph regularized generative model.

Shaokai Wang, Eric Ke Wang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaolin Du

Knowl. Based Syst., 2017

A generative model with hypergraph regularizers for protein function prediction.

Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Representation learning with complete semantic description of knowledge graphs.

Wenrui Chen, Chuyao Luo, Shaokai Wang, Yunming Ye

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Detection of Oil Spill Through Fully Convolutional Network.

Yan Li, Xiaofei Yang, Yunming Ye, Lunan Cui, Binfeng Jia, Zhongming Jiang, Shaokai Wang

Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

2016

Clustering time-stamped data using multiple nonnegative matrices factorization.

Xiaohui Huang, Yunming Ye, Liyan Xiong, Shaokai Wang, Xiaofei Yang

Knowl. Based Syst., 2016

Time series k-means: A new k-means type smooth subspace clustering for time series data.

Xiaohui Huang, Yunming Ye, Liyan Xiong, Raymond Y. K. Lau, Nan Jiang, Shaokai Wang

Inf. Sci., 2016

2015

A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering.

Shaokai Wang, Yunming Ye, Raymond Y. K. Lau

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015