Xingxuan Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
10
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Error Slice Discovery via Manifold Compactness. | Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui |
| 2026 | AAAI | Generating Risky Samples with Conformity Constraints via Diffusion Models. | Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He, Kehan Li, Peng Cui |
| 2026 | WWW | Generalist Model for Structured Data: Foundations, Frontiers and Applications. | Peng Cui, Xingxuan Zhang, Han-Jia Ye, Jintai Chen, Shuyang 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 | ECAI | Dynamic Model Fusion for Multi-Source Test-Time Adaptation. | Yuan Xue, Qinting Jiang, Yuan Meng, Xingxuan Zhang, Chen Tang, Jingyan Jiang, Zhi Wang |
| 2025 | ICCV | ODP-Bench: Benchmarking Out-Of-Distribution Performance Prediction. | Han Yu, Kehan Li, Dongbai Li, Yue He, Xingxuan Zhang, 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 | 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 | 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 | CVPR | Adversarial Eigen Attack on BlackBox Models. | Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang |
| 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 | 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 |
| 2020 | ICIP | Speaker-Independent Lipreading With Limited Data. | Chenzhao Yang, Shilin Wang, Xingxuan Zhang, Yun Zhu |
| 2019 | ICCV | Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading. | Xingxuan Zhang, Feng Cheng, Shilin Wang |
| 2018 | ICIP | 3D Convolutional Neural Networks Based Speaker Identification and Authentication. | Jianguo Liao, Shilin Wang, Xingxuan Zhang, Gongshen Liu |