Shaokai Wang

35 papers B 1Misc 1Journal 25Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
MMFF-DDI: A Multi-Modal Fusion Framework for Drug-Drug Interaction Event Prediction With Contrastive Learning.
IEEE Trans. Comput. Biol. Bioinform.
Jian Zhong, Haochen Zhao, Guihua Duan, Shaokai Wang
2025 J jnl
AGPred: An End-to-End Deep Learning Model for Predicting Drug Approvals in Clinical Trials Based on Molecular Features.
IEEE J. Biomed. Health Informatics
Haochen Zhao, Xiao Liang, Chenliang Xie, Shaokai Wang
2025 J jnl
Anti-Cancer Peptides Identification and Activity Type Classification With Protein Sequence Pre-Training.
IEEE J. Biomed. Health Informatics
Shaokai Wang, Bin Ma
2025 J jnl
Application of machine learning in drug side effect prediction: databases, methods, and challenges.
Frontiers Comput. Sci.
Haochen Zhao, Jian Zhong, Xiao Liang, Chenliang Xie, Shaokai Wang
2025 J jnl
NeoMS: Mass Spectrometry-Based Method for Uncovering Mutated MHC-I Neoantigens.
IEEE Trans. Comput. Biol. Bioinform.
Shaokai Wang, Ming Zhu, Bin Ma
2025 J jnl
ScFold: a GNN-based model for efficient inverse folding of short-chain proteins via spatial reduction.
Briefings Bioinform.
Jiancheng Zhong, Zhiwei Zou, Jie Qiu, Shaokai Wang
2024 — —
Deep Learning Methods for Novel Peptide Discovery and Function Prediction.
Shaokai Wang
2024 — conf
Novel Fine-Tuning Strategy on Pre-trained Protein Model Enhances ACP Functional Type Classification.
ISBRA (1)
Shaokai Wang, Bin Ma
2024 — conf
PrSMBooster: Improving the Accuracy of Top-Down Proteoform Characterization Using Deep Learning Rescoring Models.
ISBRA (3)
Jiancheng Zhong, Chen Yang, Maoqi Yuan, Shaokai Wang
2024 J jnl
Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer.
Remote. Sens.
Xianhong Zhu, Xiaohui Huang, Weijia Cao, Xiaofei Yang, Yunfei Zhou, Shaokai Wang
2023 — conf
An Integrated Calibration Scheme for Attitude Benchmark of Micro-nano Satellites and Its Experiments Based on In-Orbit Data.
CACRE
Mingqun Li, Tong Luo, Shaokai Wang, He Li, Yongjun Lei, Qinghua Jiang
2023 — conf
Deep learning boosted amyloidosis diagnosis.
BIBM
Shaokai Wang, Bin Ma
2023 — conf
NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry.
ISBRA
Shaokai Wang, Ming Zhu, Bin Ma
2023 J jnl
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning.
ACM Trans. Intell. Syst. Technol.
Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang
2023 J jnl
Stress Online Monitoring Method Based on Multifrequency SH0 Guided Wave Information Fusion.
IEEE Trans. Instrum. Meas.
Weijia Shi, Jiaxin Li, Sen Deng, Shaokai Wang, Bo Zhao, Jiubin Tan
2022 J jnl
A similarity-based deep learning approach for determining the frequencies of drug side effects.
Briefings Bioinform.
Haochen Zhao, Shaokai Wang, Kai Zheng, Qichang Zhao, Feng Zhu, Jianxin Wang
2022 J jnl
Partial label learning with noisy side information.
Appl. Intell.
Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng
2022 J jnl
SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networks.
Briefings Bioinform.
Shaokai Wang, Haochen Zhao
2021 J jnl
Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding.
Sensors
Pengbo Xiong, Shaokai Wang, Weibo Wang, Qixin Ye, Shujiao Ye
2020 J jnl
MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries.
Bioinform.
Tao Li, Shaokai Wang, Feng Luo, Fang-Xiang Wu, Jianxin Wang
2019 J jnl
A Fast Approach of Provisioning Virtual Machines by Using Image Content Similarity in Cloud.
IEEE Access
Huixi Li, Shaokai Wang, Chang Ruan
2019 J jnl
Anchor Link Prediction across Attributed Networks via Network Embedding.
Entropy
Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du
2019 J jnl
Identification and Compensation of Dynamic Interaction in a Non-Contact Dual-Stage Actuator System.
Sensors
Shaokai Wang, Jinxin Hu, Changqi Li, Jiubin Tan
2018 J jnl
A secure data collection scheme based on compressive sensing in wireless sensor networks.
Ad Hoc Networks
Ping Zhang, Shaokai Wang, Kehua Guo, Jianxin Wang
2018 J jnl
Computational drug repositioning using low-rank matrix approximation and randomized algorithms.
Bioinform.
Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang
2018 J jnl
Multi-attribute and relational learning via hypergraph regularized generative model.
Neurocomputing
Shaokai Wang, Xutao Li, Yunming Ye, Xiaohui Huang, Yan Li
2018 J jnl
Parameterized counting matching and packing: A family of hard problems that admit FPTRAS.
Theor. Comput. Sci.
Yunlong Liu, Shaokai Wang, Jianxin Wang
2017 B conf
A generative model with hypergraph regularizers for protein function prediction.
IJCNN
Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du
2017 — conf
Detection of Oil Spill Through Fully Convolutional Network.
GSKI (1)
Yan Li, Xiaofei Yang, Yunming Ye, Lunan Cui, Binfeng Jia, Zhongming Jiang, Shaokai Wang
2017 J jnl
Multi-view learning via multiple graph regularized generative model.
Knowl. Based Syst.
Shaokai Wang, Eric Ke Wang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaolin Du
2017 Misc conf
Representation learning with complete semantic description of knowledge graphs.
ICMLC
Wenrui Chen, Chuyao Luo, Shaokai Wang, Yunming Ye
2017 J jnl
Semi-supervised Collective Classification in Multi-attribute Network Data.
Neural Process. Lett.
Shaokai Wang, Yunming Ye, Xutao Li, Xiaohui Huang, Raymond Y. K. Lau
2016 J jnl
Clustering time-stamped data using multiple nonnegative matrices factorization.
Knowl. Based Syst.
Xiaohui Huang, Yunming Ye, Liyan Xiong, Shaokai Wang, Xiaofei Yang
2016 J jnl
Time series k-means: A new k-means type smooth subspace clustering for time series data.
Inf. Sci.
Xiaohui Huang, Yunming Ye, Liyan Xiong, Raymond Y. K. Lau, Nan Jiang, Shaokai Wang
2015 — conf
A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering.
ICIC (3)
Shaokai Wang, Yunming Ye, Raymond Y. K. Lau