Xingxuan Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 42

Top Topics

Object Detection

Convolutional Neural Networks

Top Venues

IEEE Robotics Autom. Lett.

Publications

Xingxuan Zhang, Jiansheng Li, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, Peng Cui
On the Out-Of-Distribution Generalization of Multimodal Large Language Models. CoRR (2024)
Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui
Model-Agnostic Random Weighting for Out-of-Distribution Generalization. KDD (2024)
Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang
Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. CoRR (2024)
Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui
A Survey on Evaluation of Out-of-Distribution Generalization. CoRR (2024)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. CoRR (2024)
Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu
Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CVPR (2023)
Xingxuan Zhang, Haojian Zhang, Jianhua Hu, Jieren Deng, Yunkuan Wang
Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton. IEEE Robotics Autom. Lett. 8 (9) (2023)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CVPR (2023)
Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui
Exploring and Exploiting Data Heterogeneity in Recommendation. CoRR (2023)
Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
Rethinking the Evaluation Protocol of Domain Generalization. CoRR (2023)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. CoRR (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CoRR (2023)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. AAAI (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
Flatness-Aware Minimization for Domain Generalization. CoRR (2023)
Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu
Qwen Technical Report. CoRR (2023)
Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. ISBI (2023)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. ICML (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
Flatness-Aware Minimization for Domain Generalization. ICCV (2023)
Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou
TouchStone: Evaluating Vision-Language Models by Language Models. CoRR (2023)
Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
Measure the Predictive Heterogeneity. ICLR (2023)
Jieren Deng, Haojian Zhang, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang
Class Incremental Robotic Pick-and-Place via Incremental Few-Shot Object Detection. IEEE Robotics Autom. Lett. 8 (9) (2023)
Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li
Towards Domain Generalization in Object Detection. CoRR (2022)
Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
Product Ranking for Revenue Maximization with Multiple Purchases. NeurIPS (2022)
Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
Product Ranking for Revenue Maximization with Multiple Purchases. CoRR (2022)
Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang
Adversarial Eigen Attack on BlackBox Models. CVPR (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. WWW (2022)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CoRR (2022)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. CoRR (2022)
Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. ECCV Workshops (6) (2022)
Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. ICML (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. CoRR (2022)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Towards Unsupervised Domain Generalization. CVPR (2022)
Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang
Why Stable Learning Works? A Theory of Covariate Shift Generalization. CoRR (2021)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-Of-Distribution Generalization. CoRR (2021)
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui
Towards Out-Of-Distribution Generalization: A Survey. CoRR (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-of-Distribution Generalization. CVPR (2021)
Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. CoRR (2020)
Chenzhao Yang, Shilin Wang, Xingxuan Zhang, Yun Zhu
Speaker-Independent Lipreading With Limited Data. ICIP (2020)
Xingxuan Zhang, Feng Cheng, Shilin Wang
Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading. ICCV (2019)
Jianguo Liao, Shilin Wang, Xingxuan Zhang, Gongshen Liu
3D Convolutional Neural Networks Based Speaker Identification and Authentication. ICIP (2018)