3D Convolutional Neural Networks Based Speaker Identification and Authentication. - Jianguo Liao; Shilin Wang; Xingxuan Zhang; Gongshen Liu (ICIP, 2018)

Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading. - Xingxuan Zhang; Feng Cheng; Shilin Wang (ICCV, 2019)

Speaker-Independent Lipreading With Limited Data. - Chenzhao Yang; Shilin Wang; Xingxuan Zhang; Yun Zhu (ICIP, 2020)

Deep Stable Learning for Out-of-Distribution Generalization. - Xingxuan Zhang; Peng Cui 001; Renzhe Xu; Linjun Zhou; Yue He 001; Zheyan Shen (CVPR, 2021)

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. - Xingxuan Zhang; Linjun Zhou; Renzhe Xu; Peng Cui 001; Zheyan Shen; Haoxin Liu 002 (CoRR, 2021)

Towards Out-Of-Distribution Generalization: A Survey. - Zheyan Shen; Jiashuo Liu; Yue He 001; Xingxuan Zhang; Renzhe Xu; Han Yu 009; Peng Cui 001 (CoRR, 2021)

Why Stable Learning Works? A Theory of Covariate Shift Generalization. - Renzhe Xu; Peng Cui 001; Zheyan Shen; Xingxuan Zhang; Tong Zhang 001 (CoRR, 2021)

Towards Unsupervised Domain Generalization. - Xingxuan Zhang; Linjun Zhou; Renzhe Xu; Peng Cui 001; Zheyan Shen; Haoxin Liu 002 (CVPR, 2022)

Adversarial Eigen Attack on BlackBox Models. - Linjun Zhou; Peng Cui 001; Xingxuan Zhang; Yinan Jiang; Shiqiang Yang (CVPR, 2022)

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. - Xingxuan Zhang; Yue He 001; Tan Wang; Jiaxin Qi; Han Yu 009; Zimu Wang; Jie Peng; Renzhe Xu; Zheyan Shen; Yulei Niu; Hanwang Zhang; Peng Cui 001 (ECCV Workshops (6), 2022)

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. - Renzhe Xu; Xingxuan Zhang; Zheyan Shen; Tong Zhang 001; Peng Cui 001 (ICML, 2022)

Product Ranking for Revenue Maximization with Multiple Purchases. - Renzhe Xu; Xingxuan Zhang; Bo Li 064; Yafeng Zhang; Xiaolong Chen; Peng Cui 001 (NeurIPS, 2022)

Regulatory Instruments for Fair Personalized Pricing. - Renzhe Xu; Xingxuan Zhang; Peng Cui 001; Bo Li 064; Zheyan Shen; Jiazheng Xu (WWW, 2022)

Towards Domain Generalization in Object Detection. - Xingxuan Zhang; Zekai Xu; Renzhe Xu; Jiashuo Liu; Peng Cui 001; Weitao Wan; Chong Sun; Chen Li (CoRR, 2022)

Stable Learning via Sparse Variable Independence. - Han Yu 009; Peng Cui 001; Yue He 001; Zheyan Shen; Yong Lin; Renzhe Xu; Xingxuan Zhang (AAAI, 2023)

NICO++: Towards Better Benchmarking for Domain Generalization. - Xingxuan Zhang; Yue He 001; Renzhe Xu; Han Yu 009; Zheyan Shen; Peng Cui 001 (CVPR, 2023)

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. - Xingxuan Zhang; Renzhe Xu; Han Yu 009; Hao Zou 001; Peng Cui 001 (CVPR, 2023)

Flatness-Aware Minimization for Domain Generalization. - Xingxuan Zhang; Renzhe Xu; Han Yu 009; Yancheng Dong; Pengfei Tian; Peng Cui 001 (ICCV, 2023)

Measure the Predictive Heterogeneity. - Jiashuo Liu; Jiayun Wu; Renjie Pi; Renzhe Xu; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (ICLR, 2023)

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. - Renzhe Xu; Haotian Wang 001; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (ICML, 2023)

Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. - Won-Dong Jang; Donglai Wei 001; Xingxuan Zhang; Brian D. Leahy; Helen Y. Yang; James Tompkin 001; Dalit Ben-Yosef; Daniel Needleman; Hanspeter Pfister (ISBI, 2023)

Meta Adaptive Task Sampling for Few-Domain Generalization. - Zheyan Shen; Han Yu 009; Peng Cui 001; Jiashuo Liu; Xingxuan Zhang; Linjun Zhou; Furui Liu (CoRR, 2023)

TouchStone: Evaluating Vision-Language Models by Language Models. - Shuai Bai; Shusheng Yang; Jinze Bai; Peng Wang 028; Xingxuan Zhang; Junyang Lin; Xinggang Wang; Chang Zhou; Jingren Zhou 001 (CoRR, 2023)

Qwen Technical Report. - Jinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang 005; Binyuan Hui; Luo Ji; et al. (CoRR, 2023)

Class Incremental Robotic Pick-and-Place via Incremental Few-Shot Object Detection. - Jieren Deng; Haojian Zhang; Jianhua Hu; Xingxuan Zhang; Yunkuan Wang (IEEE Robotics Autom. Lett., 2023)

Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton. - Xingxuan Zhang; Haojian Zhang; Jianhua Hu; Jieren Deng; Yunkuan Wang (IEEE Robotics Autom. Lett., 2023)

Rethinking the Evaluation Protocol of Domain Generalization. - Han Yu 009; Xingxuan Zhang; Renzhe Xu; Jiashuo Liu; Yue He 001; Peng Cui 001 (CVPR, 2024)

Model-Agnostic Random Weighting for Out-of-Distribution Generalization. - Yue He 001; Pengfei Tian; Renzhe Xu; Xinwei Shen 002; Xingxuan Zhang; Peng Cui 001 (KDD, 2024)

Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. - Jieren Deng; Haojian Zhang; Kun Ding; Jianhua Hu; Xingxuan Zhang; Yunkuan Wang (NeurIPS, 2024)

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; Peng Cui 001 (CoRR, 2024)

A Survey on Evaluation of Out-of-Distribution Generalization. - Han Yu 009; Jiashuo Liu; Xingxuan Zhang; Jiayun Wu; Peng Cui 001 (CoRR, 2024)

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. - Renzhe Xu; Haotian Wang 001; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (CoRR, 2024)

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. - Jiansheng Li; Xingxuan Zhang; Hao Zou 001; Yige Guo; Renzhe Xu; Yilong Liu; Chuzhao Zhu; Yue He 001; Peng Cui 001 (CVPR, 2025)

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 001 (CVPR, 2025)

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 001; Han Yu 009; Peng Cui 001 (ICLR, 2025)

Exploring and Exploiting Data Heterogeneity in Recommendation. - Zimu Wang; Jiashuo Liu; Hao Zou 001; Xingxuan Zhang; Yue He 001; Dongxu Liang; Peng Cui 001 (ACM Trans. Knowl. Discov. Data, 2025)

Error Slice Discovery via Manifold Compactness. - Han Yu 009; Jiashuo Liu; Hao Zou 001; Renzhe Xu; Yue He 001; Xingxuan Zhang; Peng Cui 001 (CoRR, 2025)