Learning to Learn Image Classifiers with Informative Visual Analogy. - Linjun Zhou; Peng Cui 001; Shiqiang Yang; Wenwu Zhu 001; Qi Tian 001 (CoRR, 2017)

Learning to Learn Image Classifiers With Visual Analogy. - Linjun Zhou; Peng Cui 001; Shiqiang Yang; Wenwu Zhu 001; Qi Tian 001 (CVPR, 2019)

Learning to Select Base Classes for Few-Shot Classification. - Linjun Zhou; Peng Cui 001; Xu Jia 012; Shiqiang Yang; Qi Tian 001 (CVPR, 2020)

Algorithmic Decision Making with Conditional Fairness. - Renzhe Xu; Peng Cui 001; Kun Kuang; Bo Li 064; Linjun Zhou; Zheyan Shen; Wei Cui (KDD, 2020)

Invariant Adversarial Learning for Distributional Robustness. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064; Yishi Lin (CoRR, 2020)

Adversarial Eigen Attack on Black-Box Models. - Linjun Zhou; Peng Cui 001; Yinan Jiang; Shiqiang Yang (CoRR, 2020)

Stable Adversarial Learning under Distributional Shifts. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064; Yishi Lin (AAAI, 2021)

Deep Stable Learning for Out-of-Distribution Generalization. - Xingxuan Zhang; Peng Cui 001; Renzhe Xu; Linjun Zhou; Yue He 001; Zheyan Shen (CVPR, 2021)

Comparison of seven in silico tools for evaluating of daphnia and fish acute toxicity: case study on Chinese Priority Controlled Chemicals and new chemicals. - Linjun Zhou; Deling Fan; Wei Yin; Wen Gu; Zhen Wang; Jining Liu; Yanhua Xu 002; Lili Shi; Mingqing Liu; Guixiang Ji (BMC Bioinform., 2021)

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. - Xingxuan Zhang; Linjun Zhou; Renzhe Xu; Peng Cui 001; Zheyan Shen; Haoxin Liu 002 (CoRR, 2021)

Towards Unsupervised Domain Generalization. - Xingxuan Zhang; Linjun Zhou; Renzhe Xu; Peng Cui 001; Zheyan Shen; Haoxin Liu 002 (CVPR, 2022)

Adversarial Eigen Attack on BlackBox Models. - Linjun Zhou; Peng Cui 001; Xingxuan Zhang; Yinan Jiang; Shiqiang Yang (CVPR, 2022)

A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform. - Zhuolin Wu; Li Wang; Fangsheng Huang; Linjun Zhou; Yu Song; Chengpeng Ye; Pengyu Nie 002; Hao Ren; Jinghua Hao; Renqing He; Zhizhao Sun (KDD, 2022)

Meta Adaptive Task Sampling for Few-Domain Generalization. - Zheyan Shen; Han Yu 009; Peng Cui 001; Jiashuo Liu; Xingxuan Zhang; Linjun Zhou; Furui Liu (CoRR, 2023)

Distributionally Robust Learning With Stable Adversarial Training. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)