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ORCIDShaokai Wang
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2020 – today
- 2024
[b1]Shaokai Wang:
Deep Learning Methods for Novel Peptide Discovery and Function Prediction. University of Waterloo, Ontario, Canada, 2024- [j19]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): 1183 (2024) - [c9]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: 116-129 - [c8]Shaokai Wang, Bin Ma:
Novel Fine-Tuning Strategy on Pre-trained Protein Model Enhances ACP Functional Type Classification. ISBRA (1) 2024: 371-382 - 2023
- [j18]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: 1-13 (2023) - [j17]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): 25:1-25:16 (2023) - [c7]Shaokai Wang, Bin Ma:
Deep learning boosted amyloidosis diagnosis. BIBM 2023: 57-62 - [c6]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: 248-252 - [c5]Shaokai Wang, Ming Zhu, Bin Ma:
NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry. ISBRA 2023: 280-291 - 2022
- [j16]Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng:
Partial label learning with noisy side information. Appl. Intell. 52(11): 12382-12396 (2022) - [j15]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) - [j14]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) - 2021
- [j13]Pengbo Xiong, Shaokai Wang, Weibo Wang, Qixin Ye, Shujiao Ye:
Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding. Sensors 21(22): 7465 (2021) - 2020
- [j12]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): 920-921 (2020)
2010 – 2019
- 2019
- [j11]Huixi Li, Shaokai Wang, Chang Ruan:
A Fast Approach of Provisioning Virtual Machines by Using Image Content Similarity in Cloud. IEEE Access 7: 45099-45109 (2019) - [j10]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): 254 (2019) - [j9]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): 1053 (2019) - 2018
- [j8]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: 73-84 (2018) - [j7]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): 1904-1912 (2018) - [j6]Shaokai Wang, Xutao Li, Yunming Ye, Xiaohui Huang, Yan Li:
Multi-attribute and relational learning via hypergraph regularized generative model. Neurocomputing 274: 115-124 (2018) - [j5]Yunlong Liu, Shaokai Wang, Jianxin Wang:
Parameterized counting matching and packing: A family of hard problems that admit FPTRAS. Theor. Comput. Sci. 734: 83-93 (2018) - 2017
- [j4]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: 153-162 (2017) - [j3]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): 153-172 (2017) - [c4]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: 353-362 - [c3]Wenrui Chen, Chuyao Luo, Shaokai Wang, Yunming Ye:
Representation learning with complete semantic description of knowledge graphs. ICMLC 2017: 143-149 - [c2]Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du:
A generative model with hypergraph regularizers for protein function prediction. IJCNN 2017: 1289-1296 - 2016
- [j2]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. 367-368: 1-13 (2016) - [j1]Xiaohui Huang, Yunming Ye, Liyan Xiong, Shaokai Wang, Xiaofei Yang:
Clustering time-stamped data using multiple nonnegative matrices factorization. Knowl. Based Syst. 114: 88-98 (2016) - 2015
- [c1]Shaokai Wang, Yunming Ye, Raymond Y. K. Lau:
A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering. ICIC (3) 2015: 109-114
Coauthor Index
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