Linjun Zhou

According to our database, Linjun Zhou authored at least 17 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning de-biased environment models for delivery incentive policy optimization on food delivery platforms.

Yu-Ren Liu, Xiong-Hui Chen, Siyuan Xiao, Xinyu Yang, Xintong Qi, Linjun Zhou, Yang Yu, Fangsheng Huang

Mach. Learn., December, 2025

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence.

Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zimu Wang, Zhenlei Wang, Peng Cui

CoRR, September, 2025

2023

Distributionally Robust Learning With Stable Adversarial Training.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li

IEEE Trans. Knowl. Data Eng., November, 2023

Meta Adaptive Task Sampling for Few-Domain Generalization.

Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu

CoRR, 2023

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, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adversarial Eigen Attack on BlackBox Models.

Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Unsupervised Domain Generalization.

Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization.

Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu

CoRR, 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, Lili Shi, Mingqing Liu, Guixiang Ji

BMC Bioinform., 2021

Deep Stable Learning for Out-of-Distribution Generalization.

Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Stable Adversarial Learning under Distributional Shifts.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Eigen Attack on Black-Box Models.

Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang

CoRR, 2020

Invariant Adversarial Learning for Distributional Robustness.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

CoRR, 2020

Algorithmic Decision Making with Conditional Fairness.

Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning to Select Base Classes for Few-Shot Classification.

Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Learn Image Classifiers With Visual Analogy.

Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Learning to Learn Image Classifiers with Informative Visual Analogy.

Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian

CoRR, 2017