A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering. - Shaokai Wang; Yunming Ye; Raymond Y. K. Lau (ICIC (3), 2015)

Time series k-means: A new k-means type smooth subspace clustering for time series data. - Xiaohui Huang 003; Yunming Ye; Liyan Xiong; Raymond Y. K. Lau; Nan Jiang 013; Shaokai Wang (Inf. Sci., 2016)

Clustering time-stamped data using multiple nonnegative matrices factorization. - Xiaohui Huang 003; Yunming Ye; Liyan Xiong; Shaokai Wang; Xiaofei Yang 002 (Knowl. Based Syst., 2016)

Detection of Oil Spill Through Fully Convolutional Network. - Yan Li 040; Xiaofei Yang 002; Yunming Ye; Lunan Cui; Binfeng Jia; Zhongming Jiang; Shaokai Wang (GSKI (1), 2017)

Representation learning with complete semantic description of knowledge graphs. - Wenrui Chen; Chuyao Luo; Shaokai Wang; Yunming Ye (ICMLC, 2017)

A generative model with hypergraph regularizers for protein function prediction. - Shaokai Wang; Xutao Li; Yunming Ye; Yan Li 040; Xiaohui Huang 003; Xiaolin Du (IJCNN, 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)

Semi-supervised Collective Classification in Multi-attribute Network Data. - Shaokai Wang; Yunming Ye; Xutao Li; Xiaohui Huang 003; Raymond Y. K. Lau (Neural Process. Lett., 2017)

A secure data collection scheme based on compressive sensing in wireless sensor networks. - Ping Zhang; Shaokai Wang; Kehua Guo; Jianxin Wang 001 (Ad Hoc Networks, 2018)

Computational drug repositioning using low-rank matrix approximation and randomized algorithms. - Huimin Luo; Min Li 007; Shaokai Wang; Quan Liu; Yaohang Li; Jianxin Wang 001 (Bioinform., 2018)

Multi-attribute and relational learning via hypergraph regularized generative model. - Shaokai Wang; Xutao Li; Yunming Ye; Xiaohui Huang 003; Yan Li 040 (Neurocomputing, 2018)

Parameterized counting matching and packing: A family of hard problems that admit FPTRAS. - Yunlong Liu 001; Shaokai Wang; Jianxin Wang 001 (Theor. Comput. Sci., 2018)

A Fast Approach of Provisioning Virtual Machines by Using Image Content Similarity in Cloud. - Huixi Li; Shaokai Wang; Chang Ruan (IEEE Access, 2019)

Anchor Link Prediction across Attributed Networks via Network Embedding. - Shaokai Wang; Xutao Li; Yunming Ye; Shanshan Feng 001; Raymond Y. K. Lau; Xiaohui Huang 003; Xiaolin Du (Entropy, 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)

MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries. - Tao Li 033; Shaokai Wang; Feng Luo 001; Fang-Xiang Wu; Jianxin Wang 001 (Bioinform., 2020)

Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding. - Pengbo Xiong; Shaokai Wang; Weibo Wang; Qixin Ye; Shujiao Ye (Sensors, 2021)

Partial label learning with noisy side information. - Shaokai Wang; Mingxuan Xia; Zilong Wang; Gengyu Lyu; Songhe Feng (Appl. Intell., 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)

A similarity-based deep learning approach for determining the frequencies of drug side effects. - Haochen Zhao; Shaokai Wang; Kai Zheng 020; Qichang Zhao; Feng Zhu 004; Jianxin Wang 001 (Briefings Bioinform., 2022)

Deep learning boosted amyloidosis diagnosis. - Shaokai Wang; Bin Ma 002 (BIBM, 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 (CACRE, 2023)

NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry. - Shaokai Wang; Ming Zhu; Bin Ma 002 (ISBRA, 2023)

Stress Online Monitoring Method Based on Multifrequency SH0 Guided Wave Information Fusion. - Weijia Shi; Jiaxin Li; Sen Deng; Shaokai Wang; Bo Zhao 012; Jiubin Tan (IEEE Trans. Instrum. Meas., 2023)

Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. - Gengyu Lyu; Songhe Feng; Shaokai Wang; Zhen Yang 004 (ACM Trans. Intell. Syst. Technol., 2023)

Novel Fine-Tuning Strategy on Pre-trained Protein Model Enhances ACP Functional Type Classification. - Shaokai Wang; Bin Ma 002 (ISBRA (1), 2024)

PrSMBooster: Improving the Accuracy of Top-Down Proteoform Characterization Using Deep Learning Rescoring Models. - Jiancheng Zhong; Chen Yang; Maoqi Yuan; Shaokai Wang (ISBRA (3), 2024)

ScFold: a GNN-based model for efficient inverse folding of short-chain proteins via spatial reduction. - Jiancheng Zhong; Zhiwei Zou; Jie Qiu; Shaokai Wang (Briefings Bioinform., 2024)

Deep Learning Methods for Novel Peptide Discovery and Function Prediction. - Shaokai Wang (2024)

Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer. - Xianhong Zhu; Xiaohui Huang 003; Weijia Cao; Xiaofei Yang 002; Yunfei Zhou; Shaokai Wang (Remote. Sens., 2024)

Anti-Cancer Peptides Identification and Activity Type Classification With Protein Sequence Pre-Training. - Shaokai Wang; Bin Ma (IEEE J. Biomed. Health Informatics, 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., 2025)