Ziyun Huang
Orcid: 0000-0003-3484-7907Affiliations:
- Penn State Erie, The Behrend College, Department of Computer Science and Software Engineering, Erie, PA, USA
- State University of New York, Department of Computer Science and Engineering, Buffalo, NY, USA (PhD 2018)
According to our database1,
Ziyun Huang
authored at least 35 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Neurocomputing, 2025
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Int. J. Comput. Geom. Appl., 2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
New Algorithms for Distributed Fair k-Center Clustering: Almost Accurate as Sequential Algorithms.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning.
CoRR, 2022
CoRR, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 49th International Colloquium on Automata, Languages, and Programming, 2022
2021
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021
2020
Proceedings of the 31st International Symposium on Algorithms and Computation, 2020
2019
Proceedings of the 30th International Symposium on Algorithms and Computation, 2019
Proceedings of the 30th International Symposium on Algorithms and Computation, 2019
2018
2017
Data Transfer Optimization Based on Offline Knowledge Discovery and Adaptive Real-time Sampling.
CoRR, 2017
Proceedings of the Algorithms and Data Structures - 15th International Symposium, 2017
Proceedings of the 28th International Symposium on Algorithms and Computation, 2017
Big data transfer optimization based on offline knowledge discovery and adaptive sampling.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Proceedings of the 27th International Symposium on Algorithms and Computation, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2013
Proceedings of the 54th Annual IEEE Symposium on Foundations of Computer Science, 2013