Shikui Tu
Orcid: 0000-0001-6270-0449
According to our database1,
Shikui Tu
authored at least 86 papers
between 2008 and 2025.
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Bibliography
2025
Cauchy-Schwarz bounded trade-off weighting for causal inference with small sample sizes.
Int. J. Approx. Reason., 2025
2024
Self-Organizing a Latent Hierarchy of Sketch Patterns for Controllable Sketch Synthesis.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
IA-NGM: A bidirectional learning method for neural graph matching with feature fusion.
Mach. Learn., April, 2024
Comput. Vis. Image Underst., 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
KGDiff: towards explainable target-aware molecule generation with knowledge guidance.
Briefings Bioinform., November, 2023
A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk.
Patterns, April, 2023
MGAE-DC: Predicting the synergistic effects of drug combinations through multi-channel graph autoencoders.
PLoS Comput. Biol., March, 2023
Neural Networks, January, 2023
RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection.
Proceedings of the IEEE International Conference on Acoustics, 2023
DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism.
Briefings Bioinform., November, 2022
MSLM-RF: A Spatial Feature Enhanced Random Forest for On-Board Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
Neural Process. Lett., 2022
Neural Networks, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
A knowledge graph embedding-based method for predicting the synergistic effects of drug combinations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Neural Networks, 2021
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
DeepBSI: a multimodal deep learning framework for predicting the transcription factor binding site and intensity.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Int. J. Data Min. Bioinform., 2020
CoRR, 2020
A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem.
IEEE Access, 2020
Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
Nucleic Acids Res., 2019
Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram.
IEEE Access, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Regularize Network Skip Connections by Gating Mechanisms for Electron Microscopy Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
pirScan: a webserver to predict piRNA targeting sites and to avoid transgene silencing in C. elegans.
Nucleic Acids Res., 2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018
Integration of Data-Space and Statistics-Space Boundary-Based Test to Control the False Positive Rate.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
A unified frame of predicting side effects of drugs by using linear neighborhood similarity.
BMC Syst. Biol., 2017
A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
2016
Drug side effect prediction through linear neighborhoods and multiple data source integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2014
Learning local factor analysis versus mixture of factor analyzers with automatic model selection.
Neurocomputing, 2014
Neurocomputing, 2014
2012
A theoretical investigation of several model selection criteria for dimensionality reduction.
Pattern Recognit. Lett., 2012
J. Integr. Bioinform., 2012
Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
2008
Proceedings of the Artificial Neural Networks, 2008