Siyang Zhao
Orcid: 0009-0007-4982-3015
According to our database1,
Siyang Zhao authored at least 17 papers
between 2005 and 2026.
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Bibliography
2026
Reinforcement learning-based active fault diagnosis with tracking performance guaranteed.
Trans. Inst. Meas. Control, 2026
2025
Co-Design of Fault Detection and Bipartite Time-Varying Formation Control for a Class of Fuzzy Multiagent Systems Under Switching Topology.
IEEE Trans. Syst. Man Cybern. Syst., December, 2025
A deep reinforcement learning-based controller design framework for Lipschitz continuous nonlinear systems.
Inf. Sci., 2025
Fault Estimation for Polynomial Fuzzy Systems with Unmeasurable Premise Variables and Its Application to Bridge Crane System.
Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025
2024
Fault Detection and Bipartite Time-Varying Formation Control for Fuzzy Multi-Agent Systems under Switching Topology: Theory and Applications.
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024
Few-Shot Intent Detection with Label-Enhanced Hierarchical Feature Learning and Graph Neural Networks.
Proceedings of the ACM Turing Award Celebration Conference 2024, 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Fault detection and time-varying formation control for nonlinear multi-agent systems with Markov switching topology.
Inf. Sci., November, 2023
Unknown input observer based distributed fault detection for nonlinear multi-agent systems with probabilistic time delay.
J. Frankl. Inst., 2023
A Compensation-Based Polynomial Fuzzy Fault Detection Method for Single-Link Rigid Robot System.
Proceedings of the 5th International Conference on Robotics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Dynamic event-triggered fault detection filter design for dynamical systems under fading channels.
Trans. Inst. Meas. Control, 2022
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2018
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018
2005
Proceedings of the Advances in Web-Age Information Management, 2005