Zhi Zhou

Orcid: 0000-0001-7408-1200

Affiliations:

Nanjing University, Key Laboratory for Novel Software Technology, Nanjing, China

According to our database¹, Zhi Zhou authored at least 20 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Rts: learning robustly from time series data with noisy label.

[BibT_eX]

[DOI]

Zhi Zhou

Yi-Xuan Jin

Yufeng Li

Frontiers Comput. Sci., December, 2024

Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions.

[BibT_eX]

[DOI]

CoRR, 2024

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

LAMDA-SSL: a comprehensive semi-supervised learning toolkit.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2024

LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning.

[BibT_eX]

[DOI]

Dingchu Zhang

Zhi Zhou

Yufeng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Parameter-Efficient Long-Tailed Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Identifying Useful Learnwares for Heterogeneous Label Spaces.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

USB: A Unified Semi-supervised Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2022

LAMDA-SSL: Semi-Supervised Learning in Python.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift.

[BibT_eX]

[DOI]

Lan-Zhe Guo

Zhi Zhou

Yufeng Li

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Zhi Zhou

Timeline

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