Jiyuan Shen

Orcid: 0009-0007-3905-0426

According to our database1, Jiyuan Shen authored at least 15 papers between 2017 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis.
CoRR, March, 2026

OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets.
CoRR, March, 2026

OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions.
ACM Comput. Surv., January, 2025

Privacy-Preserving Federated Unlearning With Certified Client Removal.
IEEE Trans. Inf. Forensics Secur., 2025

Toward Efficient and Certified Recovery From Poisoning Attacks in Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2025

MSSI-Net: Multiscale Semantic-Guided Synergistic Interaction Network for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2025

Research on inferior litchi fruit detection in orchards based on YOLOv8n-BLS.
Comput. Electron. Agric., 2025

2024
Research for the Positioning Optimization for Portable Field Terrain Mapping Equipment Based on the Adaptive Unscented Kalman Filter Algorithm.
Remote. Sens., 2024

Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning.
CoRR, 2024

Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-Based Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Estimating the SPAD of Litchi in the Growth Period and Autumn Shoot Period Based on UAV Multi-Spectrum.
Remote. Sens., December, 2023

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions.
CoRR, 2023

Efficient Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories.
CoRR, 2023

2017
Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017


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