Zheyan Shen - RankMe

38 papers A* 16B 1Journal 20Unranked 1

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