Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning. - Chuanxing Geng; Lue Tao; Songcan Chen (CoRR, 2019)

Accelerated Stochastic Gradient-free and Projection-free Methods. - Feihu Huang 001; Lue Tao; Songcan Chen (ICML, 2020)

With False Friends Like These, Who Can Have Self-Knowledge? - Lue Tao; Songcan Chen (CoRR, 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)

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. - Kun-Peng Ning; Lue Tao; Songcan Chen; Sheng-Jun Huang (AAAI, 2021)

Multiple-Instance Learning from Similar and Dissimilar Bags. - Lei Feng 006; Senlin Shu; Yuzhou Cao; Lue Tao; Hongxin Wei; Tao Xiang 001; Bo An 001; Gang Niu 001 (KDD, 2021)

Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. - Lue Tao; Lei Feng 006; Jinfeng Yi; Sheng-Jun Huang; Songcan Chen (NeurIPS, 2021)

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. - Hongxin Wei; Lue Tao; Renchunzi Xie; Bo An 001 (NeurIPS, 2021)

Provable Defense Against Delusive Poisoning. - Lue Tao; Lei Feng 006; Jinfeng Yi; Sheng-Jun Huang; Songcan Chen (CoRR, 2021)

With False Friends Like These, Who Can Notice Mistakes? - Lue Tao; Lei Feng 006; Jinfeng Yi; Songcan Chen (AAAI, 2022)

Diversity Guided Production Inventory Control in Automobile Manufacturers*. - Lue Tao; Weihua Chen; Gongshu Wang; Lijie Su; Yang Yang; Yun Dong (CASE, 2022)

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. - Hongxin Wei; Lue Tao; Renchunzi Xie; Lei Feng 006; Bo An 001 (ICML, 2022)

Can Adversarial Training Be Manipulated By Non-Robust Features? - Lue Tao; Lei Feng 006; Hongxin Wei; Jinfeng Yi; Sheng-Jun Huang; Songcan Chen (NeurIPS, 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)

Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. - Lei Feng 006; Senlin Shu; Yuzhou Cao; Lue Tao; Hongxin Wei; Tao Xiang 001; Bo An 001; Gang Niu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. - Lue Tao; Yu-Xuan Huang; Wang-Zhou Dai; Yuan Jiang 001 (AAAI, 2024)

On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. - Shengjie Zhou; Lue Tao; Yuzhou Cao; Tao Xiang 001; Bo An 001; Lei Feng 006 (ICLR, 2024)

New Rules for Causal Identification with Background Knowledge. - Tian-Zuo Wang; Lue Tao; Zhi-Hua Zhou (CoRR, 2024)

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)