Zheyan Shen

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 38

Top Topics

Convertible Bonds

Causal Inference

Image Classification

Top Venues

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)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CVPR (2023)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. AAAI (2023)
Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui
Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. WWW (2022)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CoRR (2022)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. CoRR (2022)
Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. ECCV Workshops (6) (2022)
Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. ICML (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. CoRR (2022)
Yulan Chen, Zhiyong Wu, Zheyan Shen, Jia Jia
Learning from Designers: Fashion Compatibility Analysis Via Dataset Distillation. ICIP (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)
Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang
Why Stable Learning Works? A Theory of Covariate Shift Generalization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Heterogeneous Risk Minimization. ICML (2021)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Kernelized Heterogeneous Risk Minimization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Heterogeneous Risk Minimization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Kernelized Heterogeneous Risk Minimization. NeurIPS (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-Of-Distribution Generalization. CoRR (2021)
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui
Towards Out-Of-Distribution Generalization: A Survey. CoRR (2021)
Yue He, Zheyan Shen, Peng Cui
Towards Non-I.I.D. image classification: A dataset and baselines. Pattern Recognit. 110 (2021)
Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
DARING: Differentiable Causal Discovery with Residual Independence. KDD (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)
Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen
Stable Learning via Differentiated Variable Decorrelation. KDD (2020)
Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
Causal Inference Meets Machine Learning. KDD (2020)
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
Algorithmic Decision Making with Conditional Fairness. KDD (2020)
Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang
Stable Learning via Sample Reweighting. AAAI (2020)
Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He
Counterfactual Prediction for Bundle Treatment. NeurIPS (2020)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
Invariant Adversarial Learning for Distributional Robustness. CoRR (2020)
Yue He, Zheyan Shen, Peng Cui
NICO: A Dataset Towards Non-I.I.D. Image Classification. CoRR (2019)
Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang
Stable Learning via Sample Reweighting. CoRR (2019)
Zheyan Shen, Xiaolin Zhu, Xin Cao, Jin Chen
Measurement of blooming effect of DMSP-OLS nighttime light data based on NPP-VIIRS data. Ann. GIS 25 (2) (2019)
Zheyan Shen, Peng Cui, Kun Kuang, Bo Li, Peixuan Chen
Causally Regularized Learning with Agnostic Data Selection Bias. ACM Multimedia (2018)
Zheyan Shen, Peng Cui, Kun Kuang, Bo Li
On Image Classification: Correlation v.s. Causality. CoRR (2017)