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2020 – today
- 2024
[c19]Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui:
Rethinking the Evaluation Protocol of Domain Generalization. CVPR 2024: 21897-21908- [c18]Yue He
, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui:
Model-Agnostic Random Weighting for Out-of-Distribution Generalization. KDD 2024: 1050-1061 - [i22]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 abs/2402.06599 (2024) - [i21]Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang:
Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. CoRR abs/2403.01680 (2024) - [i20]Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui:
A Survey on Evaluation of Out-of-Distribution Generalization. CoRR abs/2403.01874 (2024) - [i19]Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui:
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. CoRR abs/2403.15524 (2024) - 2023
- [j2]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): 5783-5790 (2023) - [j1]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): 5974-5981 (2023) - [c17]Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang:
Stable Learning via Sparse Variable Independence. AAAI 2023: 10998-11006 - [c16]Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui:
NICO++: Towards Better Benchmarking for Domain Generalization. CVPR 2023: 16036-16047 - [c15]Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui:
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CVPR 2023: 20247-20257 - [c14]Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui:
Flatness-Aware Minimization for Domain Generalization. ICCV 2023: 5166-5179 - [c13]Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui:
Measure the Predictive Heterogeneity. ICLR 2023 - [c12]Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui:
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. ICML 2023: 38674-38706 - [c11]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: 1-5 - [i18]Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui:
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CoRR abs/2303.03108 (2023) - [i17]Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui:
Rethinking the Evaluation Protocol of Domain Generalization. CoRR abs/2305.15253 (2023) - [i16]Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui:
Exploring and Exploiting Data Heterogeneity in Recommendation. CoRR abs/2305.15431 (2023) - [i15]Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu:
Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR abs/2305.15644 (2023) - [i14]Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui:
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. CoRR abs/2305.19158 (2023) - [i13]Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui:
Flatness-Aware Minimization for Domain Generalization. CoRR abs/2307.11108 (2023) - [i12]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 abs/2308.16890 (2023) - [i11]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 abs/2309.16609 (2023) - 2022
- [c10]Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu:
Towards Unsupervised Domain Generalization. CVPR 2022: 4900-4910 - [c9]Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang:
Adversarial Eigen Attack on BlackBox Models. CVPR 2022: 15233-15241 - [c8]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: 433-450 - [c7]Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui:
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. ICML 2022: 24803-24829 - [c6]Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui:
Product Ranking for Revenue Maximization with Multiple Purchases. NeurIPS 2022 - [c5]Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu:
Regulatory Instruments for Fair Personalized Pricing. WWW 2022: 4-15 - [i10]Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu:
Regulatory Instruments for Fair Personalized Pricing. CoRR abs/2202.04245 (2022) - [i9]Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li:
Towards Domain Generalization in Object Detection. CoRR abs/2203.14387 (2022) - [i8]Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui:
NICO++: Towards Better Benchmarking for Domain Generalization. CoRR abs/2204.08040 (2022) - [i7]Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui:
Product Ranking for Revenue Maximization with Multiple Purchases. CoRR abs/2210.08268 (2022) - [i6]Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang:
Stable Learning via Sparse Variable Independence. CoRR abs/2212.00992 (2022) - 2021
- [c4]Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen:
Deep Stable Learning for Out-of-Distribution Generalization. CVPR 2021: 5372-5382 - [i5]Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen:
Deep Stable Learning for Out-Of-Distribution Generalization. CoRR abs/2104.07876 (2021) - [i4]Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu:
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR abs/2107.06219 (2021) - [i3]Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui:
Towards Out-Of-Distribution Generalization: A Survey. CoRR abs/2108.13624 (2021) - [i2]Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang:
Why Stable Learning Works? A Theory of Covariate Shift Generalization. CoRR abs/2111.02355 (2021) - 2020
- [c3]Chenzhao Yang, Shilin Wang, Xingxuan Zhang, Yun Zhu:
Speaker-Independent Lipreading With Limited Data. ICIP 2020: 2181-2185 - [i1]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 abs/2012.00985 (2020)
2010 – 2019
- 2019
- [c2]Xingxuan Zhang, Feng Cheng, Shilin Wang:
Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading. ICCV 2019: 713-722 - 2018
- [c1]Jianguo Liao, Shilin Wang, Xingxuan Zhang, Gongshen Liu:
3D Convolutional Neural Networks Based Speaker Identification and Authentication. ICIP 2018: 2042-2046
Coauthor Index
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