Yuhan Lin

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

Known people with the same name:

Bibliography

2026
GF-SVD: Global knowledge-infused singular value decomposition of large language models.
Inf. Fusion, 2026

2025
Edge Assisted Low-Latency Cooperative BEV Perception With Progressive State Estimation.
IEEE Trans. Mob. Comput., April, 2025

Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction.
IEEE Access, 2025

Sharpness-aware Zeroth-order Optimization for Graph Transformers.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

From Voices to Beats: Enhancing Music Deepfake Detection by Identifying Forgeries in Background.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Hypergradient-free Training for Deep Equilibrium Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Potential Representation Learning for Visible-Infrared Person Re-Identification in Virtual Surveillance Systems.
Proceedings of the Computer Animation and Social Agents - 38th International Conference, 2025

2024
Switch mode: Scaffold Learners from Block-based Programming to Text-based Programming.
PhD thesis, 2024

VEX CTE: Design an Educational Industrial Robotic Arm.
Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

2023
Diluted binary neural network.
Pattern Recognit., August, 2023

Switch Mode: Exploring Authoring Python inside a Block-Based Programming Environment.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

2022
A lightweight multi-scale context network for salient object detection in optical remote sensing images.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2019
Optimization Strategies in Quantized Neural Networks: A Review.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019


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