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Xingxuan Zhang
Xingxuan Zhang
Postdoctoral Research Scientist at Department of Computer Science, Tsinghua University
Verified email at mails.tsinghua.edu.cn
Title
Cited by
Cited by
Year
Qwen technical report
J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ...
arXiv preprint arXiv:2309.16609, 2023
13942023
Towards out-of-distribution generalization: A survey
Z Shen, J Liu, Y He, X Zhang, R Xu, H Yu, P Cui
arXiv preprint arXiv:2108.13624, 2021
5552021
Deep stable learning for out-of-distribution generalization
X Zhang, P Cui, R Xu, L Zhou, Y He, Z Shen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
3052021
Spatio-temporal fusion based convolutional sequence learning for lip reading
X Zhang, F Cheng, S Wang
Proceedings of the IEEE/CVF International conference on Computer Vision, 713-722, 2019
1002019
NICO++: Towards Better Benchmarking for Domain Generalization
X Zhang, Y He, R Xu, H Yu, Z Shen, P Cui
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
802023
Towards Unsupervised Domain Generalization
X Zhang, L Zhou, R Xu, P Cui, Z Shen, H Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
642022
Gradient norm aware minimization seeks first-order flatness and improves generalization
X Zhang, R Xu, H Yu, H Zou, P Cui
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
432023
Touchstone: Evaluating vision-language models by language models
S Bai, S Yang, J Bai, P Wang, X Zhang, J Lin, X Wang, C Zhou, J Zhou
arXiv preprint arXiv:2308.16890, 2023
392023
Towards domain generalization in object detection
X Zhang, Z Xu, R Xu, J Liu, P Cui, W Wan, C Sun, C Li
arXiv preprint arXiv:2203.14387, 2022
272022
A theoretical analysis on independence-driven importance weighting for covariate-shift generalization
R Xu, X Zhang, Z Shen, T Zhang, P Cui
International Conference on Machine Learning, 24803-24829, 2022
262022
Speaker-independent lipreading with limited data
C Yang, S Wang, X Zhang, Y Zhu
2020 IEEE international conference on image processing (ICIP), 2181-2185, 2020
222020
Why stable learning works? a theory of covariate shift generalization
R Xu, P Cui, Z Shen, X Zhang, T Zhang
arXiv preprint arXiv:2111.02355 2, 2021, 2021
212021
Towards out-of-distribution generalization: A survey. arXiv 2021
Z Shen, J Liu, Y He, X Zhang, R Xu, H Yu, P Cui
arXiv preprint arXiv:2108.13624, 0
21
Learning vector quantized shape code for amodal blastomere instance segmentation
WD Jang, D Wei, X Zhang, B Leahy, H Yang, J Tompkin, D Ben-Yosef, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
202023
Qwen technical report. 2023
J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ...
arXiv preprint cs.CL/2309.16609, 2023
192023
Flatness-Aware Minimization for Domain Generalization
X Zhang, R Xu, H Yu, Y Dong, P Tian, P Cu
International Conference on Computer Vision (ICCV), 2023, 2023
162023
Regulatory instruments for fair personalized pricing
R Xu, X Zhang, P Cui, B Li, Z Shen, J Xu
Proceedings of the ACM Web Conference 2022, 4-15, 2022
152022
On the out-of-distribution generalization of multimodal large language models
X Zhang, J Li, W Chu, J Hai, R Xu, Y Yang, S Guan, J Xu, P Cui
arXiv preprint arXiv:2402.06599, 2024
122024
Stable Learning via Sparse Variable Independence
H Yu, P Cui, Y He, Z Shen, Y Lin, R Xu, X Zhang
37th AAAI Conference on Artificial Intelligence (AAAI), 2023
122023
Adversarial eigen attack on black-box models
L Zhou, P Cui, X Zhang, Y Jiang, S Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
112022
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