Lue Tao

27 papers A* 12Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Avoiding Undesired Future with Sequential Decisions.
IJCAI
Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou
2025 A* conf
Enabling Optimal Decisions in Rehearsal Learning under CARE Condition.
ICML
Wen-Bo Du, Hao-Yi Lei, Lue Tao, Tian-Zuo Wang, Zhi-Hua Zhou
2025 J jnl
Estimating possible causal effects with latent variables via adjustment and novel rule orientation.
Artif. Intell.
Tian-Zuo Wang, Lue Tao, Tian Qin, Zhi-Hua Zhou
2024 A* conf
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees.
AAAI
Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang
2024 J jnl
New Rules for Causal Identification with Background Knowledge.
CoRR
Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou
2024 A* conf
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks.
ICLR
Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
2023 J jnl
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees.
CoRR
Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang
2023 J jnl
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.
IEEE Trans. Knowl. Data Eng.
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2022 J jnl
A differential evolution with reinforcement learning for multi-objective assembly line feeding problem.
Comput. Ind. Eng.
Lue Tao, Yun Dong, Weihua Chen, Yang Yang, Lijie Su, Qingxin Guo, Gongshu Wang
2022 A* conf
Can Adversarial Training Be Manipulated By Non-Robust Features?
NeurIPS
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022 J jnl
Can Adversarial Training Be Manipulated By Non-Robust Features?
CoRR
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022 — conf
Diversity Guided Production Inventory Control in Automobile Manufacturers
CASE
Lue Tao, Weihua Chen, Gongshu Wang, Lijie Su, Yang Yang, Yun Dong
2022 A* conf
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.
ICML
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
2022 J jnl
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.
CoRR
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
2022 A* conf
With False Friends Like These, Who Can Notice Mistakes?
AAAI
Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen
2021 A* conf
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training.
NeurIPS
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021 A* conf
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
AAAI
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
2021 J jnl
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
CoRR
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
2021 A* conf
Multiple-Instance Learning from Similar and Dissimilar Bags.
KDD
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2021 A* conf
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.
NeurIPS
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
2021 J jnl
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.
CoRR
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
2021 J jnl
Provable Defense Against Delusive Poisoning.
CoRR
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2020 A* conf
Accelerated Stochastic Gradient-free and Projection-free Methods.
ICML
Feihu Huang, Lue Tao, Songcan Chen
2020 J jnl
Accelerated Stochastic Gradient-free and Projection-free Methods.
CoRR
Feihu Huang, Lue Tao, Songcan Chen
2020 J jnl
Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes.
Pattern Recognit.
Chuanxing Geng, Lue Tao, Songcan Chen
2020 J jnl
With False Friends Like These, Who Can Have Self-Knowledge?
CoRR
Lue Tao, Songcan Chen
2019 J jnl
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning.
CoRR
Chuanxing Geng, Lue Tao, Songcan Chen