Ziyao Zhang
Orcid: 0009-0009-8377-6173
According to our database1,
Ziyao Zhang
authored at least 32 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
BrainMass: Advancing Brain Network Analysis for Diagnosis With Large-Scale Self-Supervised Learning.
IEEE Trans. Medical Imaging, November, 2024
ICT as a weight tilting the scales toward "nomadic employees": Implications for work-school interface experiences of working students.
Educ. Inf. Technol., August, 2024
Establishing a dynamic and static knowledge model of the manufacturing cell management system: An active push approach.
Expert Syst. Appl., 2024
Mindalogue: LLM-Powered Nonlinear Interaction for Effective Learning and Task Exploration.
CoRR, 2024
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
CoRR, 2024
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
2023
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
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
CoRR, 2022
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 23rd Annual Conference of the International Speech Communication Association, 2022
Unify and Conquer: How Phonetic Feature Representation Affects Polyglot Text-To-Speech (TTS).
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 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
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
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
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
Q-Placement: Reinforcement-Learning-Based Service Placement in Software-Defined Networks.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
2017