Aodong Li

According to our database1, Aodong Li authored at least 10 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Deep Anomaly Detection and Distribution Shifts
PhD thesis, 2024

Anomaly Detection of Tabular Data Using LLMs.
CoRR, 2024

2023
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data.
CoRR, 2023

Zero-Shot Anomaly Detection without Foundation Models.
CoRR, 2023

Zero-Shot Anomaly Detection via Batch Normalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Anomaly Detection under Labeling Budget Constraints.
Proceedings of the International Conference on Machine Learning, 2023

2022
Latent Outlier Exposure for Anomaly Detection with Contaminated Data.
Proceedings of the International Conference on Machine Learning, 2022

2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Variational Beam Search for Online Learning with Distribution Shifts.
CoRR, 2020

2017
Enhanced neural machine translation by learning from draft.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017


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