Lue Tao

According to our database1, Lue Tao authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.
IEEE Trans. Knowl. Data Eng., November, 2023

2022
A differential evolution with reinforcement learning for multi-objective assembly line feeding problem.
Comput. Ind. Eng., 2022

Can Adversarial Training Be Manipulated By Non-Robust Features?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.
Proceedings of the International Conference on Machine Learning, 2022

Diversity Guided Production Inventory Control in Automobile Manufacturers<sup>*</sup>.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

With False Friends Like These, Who Can Notice Mistakes?
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Provable Defense Against Delusive Poisoning.
CoRR, 2021

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multiple-Instance Learning from Similar and Dissimilar Bags.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes.
Pattern Recognit., 2020

With False Friends Like These, Who Can Have Self-Knowledge?
CoRR, 2020

Accelerated Stochastic Gradient-free and Projection-free Methods.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning.
CoRR, 2019


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