Zheyan Shen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
7
Active years
2020–2023
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | AAAI | Stable Learning via Sparse Variable Independence. | Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang |
| 2023 | CVPR | NICO++: Towards Better Benchmarking for Domain Generalization. | Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui |
| 2022 | CVPR | Towards Unsupervised Domain Generalization. | Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu |
| 2022 | ECCV | NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. | 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 | ICIP | Learning from Designers: Fashion Compatibility Analysis Via Dataset Distillation. | Yulan Chen, Zhiyong Wu, Zheyan Shen, Jia Jia |
| 2022 | ICML | A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. | Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui |
| 2022 | WWW | Regulatory Instruments for Fair Personalized Pricing. | Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu |
| 2021 | AAAI | Stable Adversarial Learning under Distributional Shifts. | Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin |
| 2021 | CVPR | Deep Stable Learning for Out-of-Distribution Generalization. | Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen |
| 2021 | ICML | Heterogeneous Risk Minimization. | Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen |
| 2021 | KDD | DARING: Differentiable Causal Discovery with Residual Independence. | Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang |
| 2020 | AAAI | Stable Learning via Sample Reweighting. | Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang |
| 2020 | KDD | Causal Inference Meets Machine Learning. | Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao |
| 2020 | KDD | Stable Learning via Differentiated Variable Decorrelation. | Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen |
| 2020 | KDD | Algorithmic Decision Making with Conditional Fairness. | Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui |