Renzhe Xu | Publications

Publications

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Lower Bias, Higher Welfare: How Creator Competition Reshapes Bias-Variance Tradeoff in Recommendation Platforms?

Kang Wang, Renzhe Xu^†, Bo Li

In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2026)

Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens

Junbin Qiu, Zhaowei Hong, Renzhe Xu, Yao Shu

In Forty-third International Conference on Machine Learning (ICML 2026)

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach

Xinpeng Lv, Yunxin Mao, Renzhe Xu, Chunyuan Zheng, Haoxuan Li, Yikai Chen, Jinxuan Yang, Wanrong Huang, Yuanlong Chen, Mingyang Geng, Shixuan Liu, Kun Kuang, Shaowu Yang, Wenjing Yang, Zhouchen Lin, Haotian Wang

In Forty-third International Conference on Machine Learning (ICML 2026)

Beyond Rational Illusion: Behaviorally Realistic Strategic Classification

Xinpeng Lv, Yunxin Mao, Renzhe Xu, Chunyuan Zheng, Jinxuan Yang, Yikai Chen, Yuanlong Chen, Yang Shi, Yuanxing Zhang, Haoxuan Li, Wenjing Yang, Shaowu Yang, Zhouchen Lin, Haotian Wang

In Forty-third International Conference on Machine Learning (ICML 2026)

Sample Weight Averaging for Stable Prediction

Han Yu, Yue He, Renzhe Xu, Dongbai Li, Jiayin Zhang, Wenchao Zou, Peng Cui

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026)

Error Slice Discovery via Manifold Compactness

Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui

In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2026)

Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents

Xinpeng Lv, Chunyuan Zheng, Shanzhi Gu, Yunxin Mao, Renzhe Xu, Hao Zou, Liyang Xu, Huan Chen, Yuanlong Chen, Haotian Wang, Wenjing Yang

In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2026)

The Limits of Interval-Regulated Price Discrimination

(α-β) Kamesh Munagala, Yiheng Shen, Renzhe Xu

In International Conference on Web and Internet Economics (WINE 2025)

Best Paper Award

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence

Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zimu Wang, Zhenlei Wang, Peng Cui

arXiv preprint arXiv:2509.03505

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2025)

Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources

Renzhe Xu, Kang Wang, Bo Li

In Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)

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)

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)

Highlight (3.7%)

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

In International Conference on Learning Representations (ICLR 2025)

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)

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)

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)

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)

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)

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)

Highlight (2.6%)

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)

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)

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)

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)

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

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)

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)

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)

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)

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)

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)

Research summary featured by media: Scientific American · Montreal AI Ethics Institute

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

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)

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

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)

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)

Listed in IEEE Standard for Evaluation Method of Machine Learning Fairness

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)