Renzhe Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents. | Xinpeng Lv, Chunyuan Zheng, Yunxin Mao, Renzhe Xu, Hao Zou, Shanzhi Gu, Liyang Xu, Huan Chen, Yuanlong Chen, Wenjing Yang, Haotian Wang |
| 2026 | AAAI | Error Slice Discovery via Manifold Compactness. | Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui |
| 2026 | KDD | Lower Bias, Higher Welfare: How Creator Competition Reshapes Bias-Variance Tradeoff in Recommendation Platforms? | Kang Wang, Renzhe Xu, Bo Li |
| 2025 | CVPR | COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. | Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui |
| 2025 | CVPR | On the Out-Of-Distribution Generalization of Large Multimodal Models. | Xingxuan Zhang, Jiansheng Li, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, Liping Jing, Peng Cui |
| 2025 | ICLR | Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study. | Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui |
| 2025 | ICML | Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources. | Renzhe Xu, Kang Wang, Bo Li |
| 2025 | KDD | PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. | Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui |
| 2024 | CVPR | Rethinking the Evaluation Protocol of Domain Generalization. | Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui |
| 2024 | KDD | Model-Agnostic Random Weighting for Out-of-Distribution Generalization. | Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui |
| 2023 | AAAI | Covariate-Shift Generalization via Random Sample Weighting. | Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui |
| 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 |
| 2023 | CVPR | Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. | Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui |
| 2023 | ICCV | Flatness-Aware Minimization for Domain Generalization. | Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui |
| 2023 | ICLR | Measure the Predictive Heterogeneity. | Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui |
| 2023 | ICML | Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. | Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, 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 | ICML | A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. | Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui |
| 2022 | ICML | Model Agnostic Sample Reweighting for Out-of-Distribution Learning. | Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang |
| 2022 | WWW | Regulatory Instruments for Fair Personalized Pricing. | Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu |
| 2021 | CVPR | Deep Stable Learning for Out-of-Distribution Generalization. | Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen |
| 2021 | KDD | DARING: Differentiable Causal Discovery with Residual Independence. | Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang |
| 2020 | KDD | Algorithmic Decision Making with Conditional Fairness. | Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui |
| 2019 | KDD | Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. | Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu |