Tian-Yi Zhao
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Enhancing Major Depressive Disorder Diagnosis With Dynamic-Static Fusion Graph Neural Networks.
IEEE J. Biomed. Health Informatics, August, 2024
Configuration paths to high-value patents: evidence from patents winning the China Patent Awards.
Scientometrics, May, 2024
GAN-RXA: A Practical Scalable Solution to Receiver-Agnostic Transmitter Fingerprinting.
IEEE Trans. Cogn. Commun. Netw., April, 2024
KGE-UNIT: toward the unification of molecular interactions prediction based on knowledge graph and multi-task learning on drug discovery.
Briefings Bioinform., January, 2024
CellContrast: Reconstructing spatial relationships in single-cell RNA sequencing data via deep contrastive learning.
Patterns, 2024
Multi-object tracking using score-driven hierarchical association strategy between predicted tracklets and objects.
Image Vis. Comput., 2024
SCancerRNA: Expression at the Single-cell Level and Interaction Resource of Non-coding RNA Biomarkers for Cancers.
Genom. Proteom. Bioinform., 2024
HGGN: Prediction of microRNA-Mediated drug sensitivity based on interpretable heterogeneous graph global-attention network.
Future Gener. Comput. Syst., 2024
UniRGB-IR: A Unified Framework for Visible-Infrared Downstream Tasks via Adapter Tuning.
CoRR, 2024
Removal and Selection: Improving RGB-Infrared Object Detection via Coarse-to-Fine Fusion.
CoRR, 2024
Long-read sequencing unveils novel somatic variants and methylation patterns in the genetic information system of early lung cancer.
Comput. Biol. Medicine, 2024
PUTransGCN: identification of piRNA-disease associations based on attention encoding graph convolutional network and positive unlabelled learning.
Briefings Bioinform., 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2024
2023
Spatial-Temporal-Based 3-D Parameters Estimation Method for Near-Field Sources Using Parallel Factor Model.
Circuits Syst. Signal Process., October, 2023
gutMDisorder v2.0: a comprehensive database for dysbiosis of gut microbiota in phenotypes and interventions.
Nucleic Acids Res., January, 2023
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023
Feature selection-based machine learning modeling for distributed model predictive control of nonlinear processes.
Comput. Chem. Eng., 2023
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
RAIRO Oper. Res., November, 2022
An algorithm for 5-D parameters estimation of near-field sources using parallel factor analysis.
Multidimens. Syst. Signal Process., 2022
Fully actuated system approach to attitude control of flexible spacecraft with nonlinear time-varying inertia.
Sci. China Inf. Sci., 2022
Metastasis-related gene identification by compound constrained NMF and a semisupervised cluster approach using pancancer multiomics features.
Comput. Biol. Medicine, 2022
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022
Detecting Major Depressive Disorder by Graph Neural Network Exploiting Resting-State Functional MRI.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
IEEE Trans. Medical Imaging, 2021
SC2disease: a manually curated database of single-cell transcriptome for human diseases.
Nucleic Acids Res., 2021
Disturbance attenuation in observer design for linear systems - a new parametric approach.
Int. J. Syst. Sci., 2021
Parametric output regulation using observer-based PI controllers with applications in flexible spacecraft attitude control.
Sci. China Inf. Sci., 2021
Briefings Bioinform., 2021
Identifying drug-target interactions based on graph convolutional network and deep neural network.
Briefings Bioinform., 2021
Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches.
Briefings Bioinform., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Novel Multikernel Trick for Predicting Pan-CancerDistant Metastatic Sites Using a Feature Extraction Strategy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Design of globally stabilising switching control law for a type of nonlinear systems.
Int. J. Syst. Sci., 2020
Observer-based multi-objective parametric design for spacecraft with super flexible netted antennas.
Sci. China Inf. Sci., 2020
BMC Bioinform., 2020
Bioinform., 2020
Augmented Quaternion MUSIC Method for Near-Field Noncircular Sources With a COLD Array.
IEEE Access, 2020
2019
Stabilization via output feedback for a type of uncertain time-varying port-controlled Hamiltonian system based on linear matrix inequality approach.
Trans. Inst. Meas. Control, 2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Proactive Dynamic Network Slicing with Deep Learning Based Short-Term Traffic Prediction for 5G Transport Network.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Network Adapter for Computing Process Node in Decentralized Building Automation System.
Proceedings of the Communications, Signal Processing, and Systems, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
IEEE Trans. Image Process., 2018
Multi-tenant Hybrid Slicing with Cross-layer Heterogeneous Resource Coordination in 5G Transport Network.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Lung segmentation in CT images using a fully convolutional neural network with multi-instance and conditional adversary loss.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the Advancements in Smart City and Intelligent Building, 2018
The Power Consumption Model of Chiller with Elman Neural Networks for On-line Prediction and Control.
Proceedings of the Advancements in Smart City and Intelligent Building, 2018
Multi-Dimensional Resource Scheduling for Cross-Layer Flexible Network Slicing in Fixed and 5G Mobile Network Sharing.
Proceedings of the European Conference on Optical Communication, 2018
Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
IEEE Trans. Image Process., 2017
CoRR, 2017
A novel method to identify pre-microRNA in various species knowledge base on various species.
J. Biomed. Semant., 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Uncertain mean-variance and mean-semivariance models for optimal project selection and scheduling.
Knowl. Based Syst., 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015
2014
Appl. Math. Comput., 2014
2010
Minimum generation error training for HMM-based prediction of articulatory movements.
Proceedings of the 7th International Symposium on Chinese Spoken Language Processing, 2010