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 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Rts: learning robustly from time series data with noisy label.
Frontiers Comput. Sci., December, 2024

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Parameter-Efficient Long-Tailed Recognition.
CoRR, 2023

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions.
Proceedings of the International Conference on Machine Learning, 2023

Identifying Useful Learnwares for Heterogeneous Label Spaces.
Proceedings of the International Conference on Machine Learning, 2023

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift.
Proceedings of the International Conference on Machine Learning, 2023

2022
USB: A Unified Semi-supervised Learning Benchmark.
CoRR, 2022

LAMDA-SSL: Semi-Supervised Learning in Python.
CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.
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.
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.
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.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020


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