Linjun Zhou

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

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Publications

Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu
Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR (2023)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning With Stable Adversarial Training. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun
A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform. KDD (2022)
Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun
A Framework for Multi-stage Bonus Allocation in meal delivery Platform. CoRR (2022)
Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang
Adversarial Eigen Attack on BlackBox Models. CVPR (2022)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Towards Unsupervised Domain Generalization. CVPR (2022)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning with Stable Adversarial Training. CoRR (2021)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR (2021)
Linjun Zhou, Deling Fan, Wei Yin, Wen Gu, Zhen Wang, Jining Liu, Yanhua Xu, Lili Shi, Mingqing Liu, Guixiang Ji
Comparison of seven in silico tools for evaluating of daphnia and fish acute toxicity: case study on Chinese Priority Controlled Chemicals and new chemicals. BMC Bioinform. 22 (1) (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-Of-Distribution Generalization. CoRR (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-of-Distribution Generalization. CVPR (2021)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
Stable Adversarial Learning under Distributional Shifts. AAAI (2021)
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
Algorithmic Decision Making with Conditional Fairness. CoRR (2020)
Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang
Adversarial Eigen Attack on Black-Box Models. CoRR (2020)
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
Algorithmic Decision Making with Conditional Fairness. KDD (2020)
Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
Learning to Select Base Classes for Few-Shot Classification. CVPR (2020)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
Invariant Adversarial Learning for Distributional Robustness. CoRR (2020)
Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
Learning to Select Base Classes for Few-shot Classification. CoRR (2020)
Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian
Learning to Learn Image Classifiers With Visual Analogy. CVPR (2019)
Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian
Learning to Learn Image Classifiers with Informative Visual Analogy. CoRR (2017)