Xinyi Shang

According to our database, Xinyi Shang authored at least 28 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLMSurgeon: Diagnosing Data Mixture of Large Language Models.

Yaxin Luo, Jiacheng Cui, Xiaohan Zhao, Xinyi Shang, Jiacheng Liu, Xinyue Bi, Zhaoyi Li, Zhiqiang Shen

CoRR, May, 2026

Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning.

Shihao Hou, Chikai Shang, Zhiheng Yang, Jiacheng Yang, Xinyi Shang, Junlong Gao, Yiqun Zhang, Yang Lu

CoRR, May, 2026

Decision Boundary-aware Generation for Long-tailed Learning.

Jiacheng Yang, Ruichi Zhang, Chikai Shang, Mengke Li, Xinyi Shang, Junlong Gao, Yonggang Zhang, Yang Lu

CoRR, May, 2026

Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems.

Jiacheng Liu, Xiaohan Zhao, Xinyi Shang, Zhiqiang Shen

CoRR, April, 2026

From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering.

Xinyi Shang, Yi Tang, Jiacheng Cui, Ahmed Elhagry, Salwa K. Al Khatib, Sondos Mahmoud Bsharat, Jiacheng Liu, Xiaohan Zhao, Jing-Hao Xue, Hao Li, Salman Khan, Zhiqiang Shen

CoRR, March, 2026

Exploring 3D Dataset Pruning.

Xiaohan Zhao, Xinyi Shang, Jiacheng Liu, Zhiqiang Shen

CoRR, March, 2026

Duality Models: An Embarrassingly Simple One-step Generation Paradigm.

Peng Sun, Xinyi Shang, Tao Lin, Zhiqiang Shen

CoRR, February, 2026

Fast and Scalable Analytical Diffusion.

Xinyi Shang, Peng Sun, Jingyu Lin, Zhiqiang Shen

CoRR, February, 2026

Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense.

Jiacheng Liu, Yaxin Luo, Jiacheng Cui, Xinyi Shang, Xiaohan Zhao, Zhiqiang Shen

CoRR, February, 2026

Federated learning with noisy labels: A comprehensive and concise review of current methodologies and future directions.

Jia Dong, Rui Zhu, Xinyi Shang, Jing-Hao Xue

Neural Networks, 2026

Dawid-Skene-model-based label-noise mitigation for federated learning.

Jia Dong, Rui Zhu, Xinyi Shang, Jing-Hao Xue

Inf. Sci., 2026

2025

FediOS: decoupling orthogonal subspaces for personalization in feature-skew federated learning.

Lingzhi Gao, Zexi Li, Xinyi Shang, Yang Lu, Chao Wu

Mach. Learn., October, 2025

Equally Critical: Samples, Targets, and Their Mappings in Datasets.

Runkang Yang, Peng Sun, Xinyi Shang, Yi Tang, Tao Lin

CoRR, June, 2025

Collaborative Unlabeled Data Optimization.

Xinyi Shang, Peng Sun, Fengyuan Liu, Tao Lin

CoRR, May, 2025

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model.

Shihao Hou, Xinyi Shang, Shreyank N. Gowda, Yang Lu, Chao Wu, Yan Yan, Hanzi Wang

CoRR, March, 2025

Secure color image encryption algorithm for face recognition using Zaslavsky and Arnold cat maps with binary bit-plane decomposition.

Wenli Shang, Zhenyu Liu, Shuang Wang, Lei Ding, Xinyi Shang, Zheng Zhou, Lianhai Wang

Inf. Sci., 2025

Benchmarking large language models for genomic knowledge with GeneTuring.

Xinyi Shang, Xu Liao, Zhicheng Ji, Wenpin Hou

Briefings Bioinform., 2025

GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost.

Xinyi Shang, Peng Sun, Tao Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch.

Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning.

Fengling Lv, Xinyi Shang, Yang Zhou, Yiqun Zhang, Mengke Li, Yang Lu

CoRR, 2024

2023

An On-Orbit Relative Sensor Normalization for Unbalance Images from the Ice Pathfinder Satellite (BNU-1).

Sishi Zhang, Xinyi Shang, Lanjing Li, Ying Zhang, Xiaoxu Wu, Fengming Hui, Huabing Huang, Xiao Cheng

Remote. Sens., December, 2023

Federated Semi-Supervised Learning with Annotation Heterogeneity.

Xinyi Shang, Gang Huang, Yang Lu, Jian Lou, Bo Han, Yiu-ming Cheung, Hanzi Wang

CoRR, 2023

Revisiting Weighted Aggregation in Federated Learning with Neural Networks.

Zexi Li, Tao Lin, Xinyi Shang, Chao Wu

Proceedings of the International Conference on Machine Learning, 2023

No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier.

Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Decadal Changes in Greenland Ice Sheet Firn Aquifers from Radar Scatterometer.

Xinyi Shang, Xiao Cheng, Lei Zheng, Qi Liang, Zhaohui Chi

Remote. Sens., 2022

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features.

Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation.

Xinyi Shang, Yang Lu, Yiu-Ming Cheung, Hanzi Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Emotional Experience Design of Medical Working Space Based on Color Semantics.

Ren Long, Xinyi Shang, Huai Cao, Jun Li

Proceedings of the Advances in Industrial Design, 2021