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
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

A Survey on Safe Multi-Modal Learning System.
CoRR, 2024

Removal and Selection: Improving RGB-Infrared Object Detection via Coarse-to-Fine Fusion.
CoRR, 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

Fingerprinting IoT Devices Using Latent Physical Side-Channels.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

Learning to Pan-sharpening with Memories of Spatial Details.
CoRR, 2023

Feature selection-based machine learning modeling for distributed model predictive control of nonlinear processes.
Comput. Chem. Eng., 2023

Observer-Based Control for High-Order Fully Actuated Systems.
IEEE Access, 2023

High Precision Pallet Detection and Location Algorithm for AGV.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Coordination efficiency for general two-stage network system.
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

Object Marking Detection Method Based On Improved DetectoRS.
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

Hybrid Recommendation System.
Proceedings of the CAIBDA 2022, 2022

2021
Weakly Supervised Cell Segmentation by Point Annotation.
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

Prediction and collection of protein-metabolite interactions.
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

Airway Anomaly Detection by Prototype-Based Graph Neural Network.
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

DRACP: a novel method for identification of anticancer peptides.
BMC Bioinform., 2020

DeepLGP: a novel deep learning method for prioritizing lncRNA target genes.
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

Deep Mixture of Diverse Experts for Large-Scale Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Identifying Alzheimer's disease-related proteins by LRRGD.
BMC Bioinform., 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

Bronchus Segmentation and Classification by Neural Networks and Linear Programming.
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

Identification of anticancer peptides based on Random Relevance Vector Machines.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Embedding Visual Hierarchy With Deep Networks for Large-Scale Visual Recognition.
IEEE Trans. Image Process., 2018

Identifying diseases-related metabolites using random walk.
BMC Bioinform., 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

Pyramid-Based Fully Convolutional Networks for Cell Segmentation.
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

The Online Evaluation System of Chiller Plant in HVAC System.
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

A Novel Method for Identifying Alzheimer's Disease-related Proteins.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition.
IEEE Trans. Image Process., 2017

Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition.
CoRR, 2017

Deep Mixture of Diverse Experts for Large-Scale Visual Recognition.
CoRR, 2017

A novel method to identify pre-microRNA in various species knowledge base on various species.
J. Biomed. Semant., 2017

Deep Mixture of Experts with Diverse Task Spaces.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Deep Multi-task Learning for Large-Scale Image Classification.
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

Identifying diseases-related metabolites based on network.
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

Project selection and adjustment based on uncertain measure.
Inf. Sci., 2016

A novel method to identify pre-microRNA in various species knowledge base.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Fast learning discriminative dictionaries for large-scale visual recognition.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Game theory based resource sharing algorithm for massive MIMO HetNets.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

2014
Project selection and scheduling with uncertain net income and investment cost.
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


  Loading...