Ziyao Zhang

Orcid: 0000-0002-0617-1340

According to our database1, Ziyao Zhang authored at least 27 papers between 2017 and 2024.

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Bibliography

2024
BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning.
CoRR, 2024

2023
Neuromorphic cytometry: implementation on cell counting and size estimation.
Neuromorph. Comput. Eng., December, 2023

Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research topic.
Adv. Eng. Informatics, October, 2023

PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

VMCanary: Effective Memory Protection for WebAssembly via Virtual Machine-assisted Approach.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Globally Consistent Federated Graph Autoencoder for Non-IID Graphs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
First Glance Diagnosis: Brain Disease Classification with Single fMRI Volume
CoRR, 2022

RUSTY: Effective C to Rust Conversion via Unstructured Control Specialization.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Mix and Match: An Empirical Study on Training Corpus Composition for Polyglot Text-To-Speech (TTS).
Proceedings of the Interspeech 2022, 2022

Unify and Conquer: How Phonetic Feature Representation Affects Polyglot Text-To-Speech (TTS).
Proceedings of the Interspeech 2022, 2022

Work in Progress: Neuromorphic Cytometry, High-throughput Event-based flow Flow-Imaging.
Proceedings of the 8th International Conference on Event-Based Control, 2022

2021
More Is Not Always Better: An Analytical Study of Controller Synchronizations in Distributed SDN.
IEEE/ACM Trans. Netw., 2021

2020
Control designs and reinforcement learning-based management for software defined networks.
PhD thesis, 2020

Neural Network Tomography.
CoRR, 2020

State Action Separable Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
How Advantageous Is It? An Analytical Study of Controller-Assisted Path Construction in Distributed SDN.
IEEE/ACM Trans. Netw., 2019

Neuromorphic Architecture for Small-Scale Neocortical Network Emulation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Pan-Sharpening Via RoG-Based Filtering.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Unidirectional Sparse Tensor Based Model for the Noise Removal of Remote Sensing Image.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
A Framelet-Based Iterative Pan-Sharpening Approach.
Remote. Sens., 2018

Q-Placement: Reinforcement-Learning-Based Service Placement in Software-Defined Networks.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

MS-RAID: An Energy-Saving Data Layout for CDP.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017
How Better is Distributed SDN? An Analytical Approach.
CoRR, 2017


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