Shaokai Wang

Orcid: 0000-0002-3896-8266

According to our database1, Shaokai Wang authored at least 25 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning.
ACM Trans. Intell. Syst. Technol., April, 2023

Stress Online Monitoring Method Based on Multifrequency SH0 Guided Wave Information Fusion.
IEEE Trans. Instrum. Meas., 2023

NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry.
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.
Proceedings of the 8th International Conference on Automation, 2023

Deep learning boosted amyloidosis diagnosis.
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.
Briefings Bioinform., 2022

SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networks.
Briefings Bioinform., 2022

Partial label learning with noisy side information.
Appl. Intell., 2022

2021
Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding.
Sensors, 2021

2020
MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries.
Bioinform., 2020

2019
Identification and Compensation of Dynamic Interaction in a Non-Contact Dual-Stage Actuator System.
Sensors, 2019

Anchor Link Prediction across Attributed Networks via Network Embedding.
Entropy, 2019

A Fast Approach of Provisioning Virtual Machines by Using Image Content Similarity in Cloud.
IEEE Access, 2019

2018
Parameterized counting matching and packing: A family of hard problems that admit FPTRAS.
Theor. Comput. Sci., 2018

Multi-attribute and relational learning via hypergraph regularized generative model.
Neurocomputing, 2018

Computational drug repositioning using low-rank matrix approximation and randomized algorithms.
Bioinform., 2018

A secure data collection scheme based on compressive sensing in wireless sensor networks.
Ad Hoc Networks, 2018

2017
Semi-supervised Collective Classification in Multi-attribute Network Data.
Neural Process. Lett., 2017

Multi-view learning via multiple graph regularized generative model.
Knowl. Based Syst., 2017

A generative model with hypergraph regularizers for protein function prediction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Representation learning with complete semantic description of knowledge graphs.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Detection of Oil Spill Through Fully Convolutional Network.
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

2016
Clustering time-stamped data using multiple nonnegative matrices factorization.
Knowl. Based Syst., 2016

Time series k-means: A new k-means type smooth subspace clustering for time series data.
Inf. Sci., 2016

2015
A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015


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