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Author

Xingxuan Zhang

Observed name: Zhang, Xingxuan
Institution: Tsinghua University
ORCID: 0009-0002-4788-1127
Observed ORCID: 0009-0002-4788-1127
OpenAlex ID: A5054379354
Deep Stable Learning for Out-Of-Distribution Generalization
2021 · Xingxuan Zhang, Peng Cui, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 324
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NICO++: Towards Better Benchmarking for Domain Generalization
2023 · Xingxuan Zhang, Yue He, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 94
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Towards Unsupervised Domain Generalization
2022 · Xingxuan Zhang, Linjun Zhou, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 60
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Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
2023 · Xingxuan Zhang, Renzhe Xu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 52
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Flatness-Aware Minimization for Domain Generalization
2023 · Xingxuan Zhang, Renzhe Xu, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 31
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Rethinking the Evaluation Protocol of Domain Generalization
2024 · Han Yu, Xingxuan Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 22
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Stable Learning via Sparse Variable Independence
2023 · Han Yu, Peng Cui, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 17
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Adversarial Eigen Attack on BlackBox Models
2022 · Linjun Zhou, Peng Cui, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 16
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Regulatory Instruments for Fair Personalized Pricing
2022 · Renzhe Xu, Xingxuan Zhang, et al. · International World Wide Web Conference (WWW) · 15
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Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
2023 · Won-Dong Jang, Donglai Wei, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 13
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
2020 · Jang, Won-Dong, Wei, Donglai, et al. · arXiv (Cornell University) · 10
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COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
2025 · Jiansheng Li, Xingxuan Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 6
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Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization.
2021 · Xingxuan Zhang, Linjun Zhou, et al. · arXiv (Cornell University) · 5
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
2025 · Renzhe Xu, Haotian Wang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 4
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Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
2025 · Zhang, Xingxuan, Wang, Haoran, et al. · arXiv (Cornell University) · 4
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Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
2023 · Xu, Renzhe, Wang, Haotian, et al. · arXiv (Cornell University) · 3
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Meta Adaptive Task Sampling for Few-Domain Generalization
2023 · Shen, Zheyan, Yu, Han, et al. · arXiv (Cornell University) · 2
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Product Ranking for Revenue Maximization with Multiple Purchases
2022 · Renzhe Xu, Xingxuan Zhang, et al. · neural information processing systems · 2
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Exploring and Exploiting Data Heterogeneity in Recommendation
2025 · Zimu Wang, Jiashuo Liu, et al. · ACM Transactions on Knowledge Discovery from Data · 1
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Model-Agnostic Random Weighting for Out-of-Distribution Generalization
2024 · Yue He, Pengfei Tian, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
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SafeMol: Dual-Modality Safety Alignment for Molecular Multimodal Models
2026 · Wang, Xinmiao, Wang, Ruijie, et al. · arXiv (Cornell University)
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Toward Generalist Models for Structured Data: Fundamentals, Emerging Trends and Applications
2026 · Peng Cui, Xingxuan Zhang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Generating Risky Samples with Conformity Constraints via Diffusion Models
2026 · Han Yu, Hao Zou, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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Error Slice Discovery via Manifold Compactness
2026 · Han Yu, Hao Zou, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
Dynamic Model Fusion for Multi-Source Test-Time Adaptation
2025 · Yuan Xue, Qinting Jiang, et al. · Frontiers in artificial intelligence and applications
Works count: 28
Citation count: 682
H-index: 10
I10-index: 11
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