Linjun Zhou

22 papers A* 8Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning de-biased environment models for delivery incentive policy optimization on food delivery platforms.
Mach. Learn.
Yu-Ren Liu, Xiong-Hui Chen, Siyuan Xiao, Xinyu Yang, Xintong Qi, Linjun Zhou, Yang Yu, Fangsheng Huang
2025 J jnl
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence.
CoRR
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
2023 J jnl
Distributionally Robust Learning With Stable Adversarial Training.
IEEE Trans. Knowl. Data Eng.
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
2023 J jnl
Meta Adaptive Task Sampling for Few-Domain Generalization.
CoRR
Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu
2022 A* conf
A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform.
KDD
Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun
2022 J jnl
A Framework for Multi-stage Bonus Allocation in meal delivery Platform.
CoRR
Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun
2022 A* conf
Adversarial Eigen Attack on BlackBox Models.
CVPR
Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang
2022 A* conf
Towards Unsupervised Domain Generalization.
CVPR
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
2021 J jnl
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.
Linjun Zhou, Deling Fan, Wei Yin, Wen Gu, Zhen Wang, Jining Liu, Yanhua Xu, Lili Shi, Mingqing Liu, Guixiang Ji
2021 J jnl
Deep Stable Learning for Out-Of-Distribution Generalization.
CoRR
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
2021 A* conf
Deep Stable Learning for Out-of-Distribution Generalization.
CVPR
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
2021 J jnl
Distributionally Robust Learning with Stable Adversarial Training.
CoRR
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
2021 J jnl
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization.
CoRR
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
2021 A* conf
Stable Adversarial Learning under Distributional Shifts.
AAAI
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2020 J jnl
Adversarial Eigen Attack on Black-Box Models.
CoRR
Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang
2020 A* conf
Algorithmic Decision Making with Conditional Fairness.
KDD
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020 J jnl
Algorithmic Decision Making with Conditional Fairness.
CoRR
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020 J jnl
Invariant Adversarial Learning for Distributional Robustness.
CoRR
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2020 A* conf
Learning to Select Base Classes for Few-Shot Classification.
CVPR
Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
2020 J jnl
Learning to Select Base Classes for Few-shot Classification.
CoRR
Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
2019 A* conf
Learning to Learn Image Classifiers With Visual Analogy.
CVPR
Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian
2017 J jnl
Learning to Learn Image Classifiers with Informative Visual Analogy.
CoRR
Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian