Xinyi Fu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
DongYuan: An LLM-Based Framework for Integrative Chinese and Western Medicine Spleen-Stomach Disorders Diagnosis.
CoRR, March, 2026

Roomify: Spatially-Grounded Style Transformation for Immersive Virtual Environments.
CoRR, March, 2026

Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25).
CoRR, February, 2026

System Design and Analysis of 2.5 MW Flywheel Energy Storage System.
IEEE Access, 2026

2025
I Can Tell Your Secrets: Inferring Privacy Attributes from Mini-app Interaction History in Super-apps.
CoRR, March, 2025

I Can Tell Your Secrets: Inferring Privacy Attributes from Mini-app Interaction History in Super-apps.
Proceedings of the 34th USENIX Security Symposium, 2025

Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

VR Calm+: Furry Stress Ball as a Haptic Modality for Relaxation in Virtual Reality.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2025

Dual-Interest Adaptive Network for Click-Through Rate Prediction.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Speeding up FaSTest: Parallel Cardinality Estimation of Subgraph Matching.
Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation.
CoRR, 2024

Protecting Split Learning by Potential Energy Loss.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Clean-Image Backdoor Attacks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Privacy-preserving design of graph neural networks with applications to vertical federated learning.
CoRR, 2023

Differentially Private Learning with Per-Sample Adaptive Clipping.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Differentially Private Learning with Per-Sample Adaptive Clipping.
CoRR, 2022

Privacy-Preserving and Robust Federated Deep Metric Learning.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

2020
Exploiting Adversarial Examples to Drain Computational Resources on Mobile Deep Learning Systems.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020


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