Shaokai Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Mass Spectrometry

Manifold Regularization

Randomized Algorithm

Top Venues

Briefings Bioinform.

Knowl. Based Syst.

Publications

Xianhong Zhu, Xiaohui Huang, Weijia Cao, Xiaofei Yang, Yunfei Zhou, Shaokai Wang
Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer. Remote. Sens. 16 (7) (2024)
Jiancheng Zhong, Chen Yang, Maoqi Yuan, Shaokai Wang
PrSMBooster: Improving the Accuracy of Top-Down Proteoform Characterization Using Deep Learning Rescoring Models. ISBRA (3) (2024)
Shaokai Wang, Bin Ma
Novel Fine-Tuning Strategy on Pre-trained Protein Model Enhances ACP Functional Type Classification. ISBRA (1) (2024)
Mingqun Li, Tong Luo, Shaokai Wang, He Li, Yongjun Lei, Qinghua Jiang
An Integrated Calibration Scheme for Attitude Benchmark of Micro-nano Satellites and Its Experiments Based on In-Orbit Data. CACRE (2023)
Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Shaokai Wang, Bin Ma
Deep learning boosted amyloidosis diagnosis. BIBM (2023)
Shaokai Wang, Ming Zhu, Bin Ma
NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry. ISBRA (2023)
Weijia Shi, Jiaxin Li, Sen Deng, Shaokai Wang, Bo Zhao, Jiubin Tan
Stress Online Monitoring Method Based on Multifrequency SH0 Guided Wave Information Fusion. IEEE Trans. Instrum. Meas. 72 (2023)
Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng
Partial label learning with noisy side information. Appl. Intell. 52 (11) (2022)
Shaokai Wang, Haochen Zhao
SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networks. Briefings Bioinform. 23 (5) (2022)
Haochen Zhao, Shaokai Wang, Kai Zheng, Qichang Zhao, Feng Zhu, Jianxin Wang
A similarity-based deep learning approach for determining the frequencies of drug side effects. Briefings Bioinform. 23 (1) (2022)
Pengbo Xiong, Shaokai Wang, Weibo Wang, Qixin Ye, Shujiao Ye
Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding. Sensors 21 (22) (2021)
Tao Li, Shaokai Wang, Feng Luo, Fang-Xiang Wu, Jianxin Wang
MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries. Bioinform. 36 (3) (2020)
Shaokai Wang, Jinxin Hu, Changqi Li, Jiubin Tan
Identification and Compensation of Dynamic Interaction in a Non-Contact Dual-Stage Actuator System. Sensors 19 (5) (2019)
Huixi Li, Shaokai Wang, Chang Ruan
A Fast Approach of Provisioning Virtual Machines by Using Image Content Similarity in Cloud. IEEE Access 7 (2019)
Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du
Anchor Link Prediction across Attributed Networks via Network Embedding. Entropy 21 (3) (2019)
Shaokai Wang, Xutao Li, Yunming Ye, Xiaohui Huang, Yan Li
Multi-attribute and relational learning via hypergraph regularized generative model. Neurocomputing 274 (2018)
Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang
Computational drug repositioning using low-rank matrix approximation and randomized algorithms. Bioinform. 34 (11) (2018)
Ping Zhang, Shaokai Wang, Kehua Guo, Jianxin Wang
A secure data collection scheme based on compressive sensing in wireless sensor networks. Ad Hoc Networks 70 (2018)
Yunlong Liu, Shaokai Wang, Jianxin Wang
Parameterized counting matching and packing: A family of hard problems that admit FPTRAS. Theor. Comput. Sci. 734 (2018)
Wenrui Chen, Chuyao Luo, Shaokai Wang, Yunming Ye
Representation learning with complete semantic description of knowledge graphs. ICMLC (2017)
Yan Li, Xiaofei Yang, Yunming Ye, Lunan Cui, Binfeng Jia, Zhongming Jiang, Shaokai Wang
Detection of Oil Spill Through Fully Convolutional Network. GSKI (1) (2017)
Shaokai Wang, Yunming Ye, Xutao Li, Xiaohui Huang, Raymond Y. K. Lau
Semi-supervised Collective Classification in Multi-attribute Network Data. Neural Process. Lett. 45 (1) (2017)
Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du
A generative model with hypergraph regularizers for protein function prediction. IJCNN (2017)
Shaokai Wang, Eric Ke Wang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaolin Du
Multi-view learning via multiple graph regularized generative model. Knowl. Based Syst. 121 (2017)
Xiaohui Huang, Yunming Ye, Liyan Xiong, Raymond Y. K. Lau, Nan Jiang, Shaokai Wang
Time series k-means: A new k-means type smooth subspace clustering for time series data. Inf. Sci. (2016)
Xiaohui Huang, Yunming Ye, Liyan Xiong, Shaokai Wang, Xiaofei Yang
Clustering time-stamped data using multiple nonnegative matrices factorization. Knowl. Based Syst. 114 (2016)
Shaokai Wang, Yunming Ye, Raymond Y. K. Lau
A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering. ICIC (3) (2015)