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Author

Xinyi Shang

Observed name: Shang, Xinyi
ORCID: 0000-0003-1147-1417
Observed ORCID: 0000-0003-1147-1417
OpenAlex ID: A5098823733
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
2022 · Xinyi Shang, Yang Lu, et al. · International Joint Conference on Artificial Intelligence · 121
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No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
2023 · Zexi Li, Xinyi Shang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 73
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FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation
2022 · Xinyi Shang, Yang Lu, et al. · IEEE International Conference on Multimedia and Expo (ICME) · 57
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Revisiting Weighted Aggregation in Federated Learning with Neural Networks
2023 · Li, Zexi, Lin, Tao, et al. · arXiv (Cornell University) · 51
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FediOS: decoupling orthogonal subspaces for personalization in feature-skew federated learning
2025 · Lingzhi Gao, Zexi Li, et al. · Machine Learning · 8
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Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
2025 · Yijie Liu, Xinyi Shang, 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
Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
2026 · Liu, Jiacheng, Zhao, Xiaohan, et al. · arXiv (Cornell University) · 2
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Federated Semi-Supervised Learning with Annotation Heterogeneity
2025 · Xinyi Shang, Gang Huang, et al. · IEEE Transactions on Artificial Intelligence · 2
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Federated learning with noisy labels: A comprehensive and concise review of current methodologies and future directions
2026 · Jia Dong, Rui Zhu, et al. · Neural Networks · 1
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
2024 · Lv, Fengling, Shang, Xinyi, et al. · arXiv (Cornell University) · 1
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Extreme Compression of Per-Layer Embeddings via Cross-Layer Latent Vector Quantization
2026 · Liu, Jiacheng, Luo, Yaxin, et al. · arXiv (Cornell University)
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Magenta: Closing the Loop Between Mathematical Reasoning and Lean Verification
2026 · Leang, Joshua Ong Jun, Li, Haonan, et al. · arXiv (Cornell University)
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DARTree: Speculative Diffusion Decoding with Autoregressive Draft Trees
2026 · Li, Tianyi, Luo, Yaxin, et al. · arXiv (Cornell University)
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Three-Body Scattering for Generative Modeling
2026 · Sun, Peng, Cheng, Zhenglin, et al. · arXiv (Cornell University)
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Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs
2026 · Tang, Yi, Shang, Xinyi, et al. · arXiv (Cornell University)
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Operation-Guided Progressive Human-to-AI Text Transformation Benchmark for Multi-Granularity AI-Text Detection
2026 · Bsharat, Sondos Mahmoud, Liu, Jiacheng, et al. · arXiv (Cornell University)
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LLMSurgeon: Diagnosing Data Mixture of Large Language Models
2026 · Association for Computational Linguistics 2026, Bi, Xinyue, et al. · Underline Science Inc.
LLMSurgeon: Diagnosing Data Mixture of Large Language Models
2026 · Luo, Yaxin, Cui, Jiacheng, et al. · arXiv (Cornell University)
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Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
2026 · Hou, Shihao, Shang, Chikai, et al. · arXiv (Cornell University)
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Decision Boundary-aware Generation for Long-tailed Learning
2026 · Yang, Jiacheng, Zhang, Ruichi, et al. · arXiv (Cornell University)
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Dawid-Skene-model-based label-noise mitigation for federated learning
2026 · Jia Dong, Rui Zhu, et al. · Information Sciences
Exploring 3D Dataset Pruning
2026 · Zhao, Xiaohan, Shang, Xinyi, et al. · arXiv (Cornell University)
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Fast and Scalable Analytical Diffusion
2026 · Shang, Xinyi, Sun, Peng, et al. · arXiv (Cornell University)
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Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense
2026 · Liu, Jiacheng, Luo, Yaxin, et al. · arXiv (Cornell University)
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Duality Models: An Embarrassingly Simple One-step Generation Paradigm
2026 · Sun, Peng, Shang, Xinyi, et al. · arXiv (Cornell University)
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Works count: 35
Citation count: 322
H-index: 6
I10-index: 4
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