Research

* indicates equal contributions. (α-β) indicates alphabetical order.

Publications

  1. On the Out-Of-Distribution Generalization of Multimodal Large Language Models
    Xingxuan Zhang*, Jiansheng Li*, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, Liping Jing, Peng Cui
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
  2. 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
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
  3. Generalization of Transformers with In-Context Learning: An Empirical Study
    Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui
    In International Conference on Learning Representations (ICLR 2025)
  4. Stable Cox Regression for Survival Analysis under Distribution Shifts
    Shaohua Fan*, Renzhe Xu*, Qian Dong*, Yue He, Cheng Chang, Peng Cui
    Nature Machine Intelligence (NMI 2024)
  5. Model-Agnostic Random Weighting for Out-of-Distribution Generalization
    Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2024)
  6. Rethinking the Evaluation Protocol of Domain Generalization
    Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  7. Flatness-Aware Minimization for Domain Generalization
    Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023)
  8. Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
    Renzhe Xu*, Haotian Wang*, Xingxuan Zhang, Bo Li, Peng Cui
    In Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
  9. Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
    Xingxuan Zhang*, Renzhe Xu*, Han Yu, Hao Zou, Peng Cui
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)
    Highlights (2.6%)
  10. NICO++: Towards Better Benchmarking for Domain Generalization
    Xingxuan Zhang*, Yue He*, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)
  11. Measure the Predictive Heterogeneity
    Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
    In International Conference on Learning Representations (ICLR 2023)
  12. Factual Observation Based Heterogeneity Learning for Counterfactual Prediction
    Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Junjian Ye, Peng Cui
    In Second Conference on Causal Learning and Reasoning (CLeaR 2023)
  13. Covariate-Shift Generalization via Random Sample Weighting
    Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023)
  14. Stable Learning via Sparse Variable Independence
    Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023)
    Oral
  15. Product Ranking for Revenue Maximization with Multiple Purchases
    Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
    In Advances in Neural Information Processing Systems (NeurIPS 2022)
  16. 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
    In European conference on computer vision workshop (ECCV Workshop 2022)
  17. A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
    Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui
    In Proceedings of the 39th International Conference on Machine Learning (ICML 2022)
  18. Model Agnostic Sample Reweighting for Out-of-Distribution Learning
    Xiao Zhou*, Yong Lin*, Renjie Pi*, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
    In Proceedings of the 39th International Conference on Machine Learning (ICML 2022)
  19. Towards Unsupervised Domain Generalization
    Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
  20. Regulatory Instruments for Fair Personalized Pricing
    Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
    In Proceedings of the ACM Web Conference 2022 (WWW 2022)
    Scientific AmericanMontreal AI Ethics Institute
  21. Daring: Differentiable Causal Discovery with Residual Independence
    Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
    In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2021)
  22. Deep Stable Learning for Out-of-distribution Generalization
    Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)
  23. Algorithmic Decision Making with Conditional Fairness
    Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
    In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2020)
  24. 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
    In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2019)

Working Papers

  1. Sample Weight Averaging for Stable Prediction
    Han Yu, Yue He, Renzhe Xu, Dongbai Li, Jiayin Zhang, Wenchao Zou, Peng Cui
    arXiv preprint arXiv:2502.07414
  2. Error Slice Discovery via Manifold Compactness
    Han Yu, Jiashuo Liu, Hao Zou, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui
    arXiv preprint arXiv:2501.19032
  3. The Limits of Interval-Regulated Price Discrimination
    (α-β) Kamesh Munagala, Yiheng Shen, Renzhe Xu
    arXiv preprint arXiv:2406.06023
  4. PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
    Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
    arXiv preprint arXiv:2403.15524
  5. Towards Domain Generalization in Object Detection
    Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li
    arXiv preprint arXiv:2203.14387
  6. Towards out-of-distribution generalization: A survey
    Jiashuo Liu*, Zheyan Shen*, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui
    arXiv preprint arXiv:2108.13624