Lue Tao

According to our database, Lue Tao authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Estimating possible causal effects with latent variables via adjustment and novel rule orientation.

Tian-Zuo Wang, Lue Tao, Tian Qin, Zhi-Hua Zhou

Artif. Intell., 2025

2024

New Rules for Causal Identification with Background Knowledge.

Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou

CoRR, 2024

On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks.

Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees.

Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang

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

2023

Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.

Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu

IEEE Trans. Knowl. Data Eng., November, 2023

2022

A differential evolution with reinforcement learning for multi-objective assembly line feeding problem.

Lue Tao, Yun Dong, Weihua Chen, Yang Yang, Lijie Su, Qingxin Guo, Gongshu Wang

Comput. Ind. Eng., 2022

Can Adversarial Training Be Manipulated By Non-Robust Features?

Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

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.

Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An

Proceedings of the International Conference on Machine Learning, 2022

Diversity Guided Production Inventory Control in Automobile Manufacturers^*.

Lue Tao, Weihua Chen, Gongshu Wang, Lijie Su, Yang Yang, Yun Dong

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

With False Friends Like These, Who Can Notice Mistakes?

Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Provable Defense Against Delusive Poisoning.

Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

CoRR, 2021

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.

Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An

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.

Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

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.

Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu

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.

Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

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.

Chuanxing Geng, Lue Tao, Songcan Chen

Pattern Recognit., 2020

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

Lue Tao, Songcan Chen

CoRR, 2020

Accelerated Stochastic Gradient-free and Projection-free Methods.

Feihu Huang, Lue Tao, Songcan Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

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

Chuanxing Geng, Lue Tao, Songcan Chen

CoRR, 2019