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Lue Tao
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Journal Articles
- 2023
- [j3]Lei Feng
, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei
, Tao Xiang
, Bo An
, Gang Niu
:
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35(11): 11599-11609 (2023) - 2022
- [j2]Lue Tao, Yun Dong, Weihua Chen, Yang Yang, Lijie Su, Qingxin Guo, Gongshu Wang:
A differential evolution with reinforcement learning for multi-objective assembly line feeding problem. Comput. Ind. Eng. 174: 108714 (2022) - 2020
- [j1]Chuanxing Geng, Lue Tao, Songcan Chen:
Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes. Pattern Recognit. 102: 107263 (2020)
Conference and Workshop Papers
- 2024
- [c11]Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang:
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. AAAI 2024: 15310-15318 - [c10]Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng:
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR 2024 - 2022
- [c9]Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen:
With False Friends Like These, Who Can Notice Mistakes? AAAI 2022: 8458-8466 - [c8]Lue Tao, Weihua Chen, Gongshu Wang, Lijie Su, Yang Yang, Yun Dong:
Diversity Guided Production Inventory Control in Automobile Manufacturers*. CASE 2022: 148-153 - [c7]Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An:
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. ICML 2022: 23615-23630 - [c6]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 - 2021
- [c5]Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. AAAI 2021: 9161-9169 - [c4]Lei Feng
, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang
, Bo An, Gang Niu:
Multiple-Instance Learning from Similar and Dissimilar Bags. KDD 2021: 374-382 - [c3]Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An:
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. NeurIPS 2021: 7978-7992 - [c2]Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS 2021: 16209-16225 - 2020
- [c1]Feihu Huang, Lue Tao, Songcan Chen:
Accelerated Stochastic Gradient-free and Projection-free Methods. ICML 2020: 4519-4530
Informal and Other Publications
- 2024
- [i10]Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou:
New Rules for Causal Identification with Background Knowledge. CoRR abs/2407.15259 (2024) - 2023
- [i9]Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang:
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. CoRR abs/2308.10487 (2023) - 2022
- [i8]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR abs/2201.13329 (2022) - [i7]Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng
, Bo An:
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR abs/2206.08802 (2022) - 2021
- [i6]Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Provable Defense Against Delusive Poisoning. CoRR abs/2102.04716 (2021) - [i5]Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. CoRR abs/2103.14824 (2021) - [i4]Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An:
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. CoRR abs/2106.10891 (2021) - 2020
- [i3]Feihu Huang, Lue Tao, Songcan Chen:
Accelerated Stochastic Gradient-free and Projection-free Methods. CoRR abs/2007.12625 (2020) - [i2]Lue Tao, Songcan Chen:
With False Friends Like These, Who Can Have Self-Knowledge? CoRR abs/2012.14738 (2020) - 2019
- [i1]Chuanxing Geng, Lue Tao, Songcan Chen:
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning. CoRR abs/1908.03983 (2019)
Coauthor Index
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