Yupeng Chang

Orcid: 0009-0007-7068-0864

According to our database1, Yupeng Chang authored at least 12 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HMambaOcc: Hierarchical Mamba for occupancy flow field prediction in autonomous driving under mixed traffic environments.
Expert Syst. Appl., 2026

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
The SGC-Informer-Based Deep Learning Framework: Managing the Efficiency-Accuracy Trade-Off in Vehicle Trajectory Prediction.
IEEE Trans. Veh. Technol., September, 2025

Personalized Car-Following Strategy Based on Convolutional Variational Autoencoder and Mildly Conservative Q-Learning.
IEEE Trans. Veh. Technol., September, 2025

LoRA-GGPO: Mitigating Double Descent in LoRA Fine-Tuning via Gradient-Guided Perturbation Optimization.
CoRR, February, 2025

Transfer-Prompting: Enhancing Cross-Task Adaptation in Large Language Models via Dual-Stage Prompts Optimization.
CoRR, February, 2025

LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Research on Vehicle Trajectory Prediction Methods in Urban Main Road Scenarios.
IEEE Trans. Intell. Transp. Syst., November, 2024

A Survey on Evaluation of Large Language Models.
ACM Trans. Intell. Syst. Technol., June, 2024

SSU-Net: A Model for Mapping Burned Areas Using Landsat-8 and Sentinel-2.
IEEE Trans. Geosci. Remote. Sens., 2024

Bias-Aware Low-Rank Adaptation: Mitigating Catastrophic Inheritance of Large Language Models.
CoRR, 2024

Trajectory Planning for Autonomous Driving in Unstructured Scenarios Based on Graph Neural Network and Numerical Optimization.
CoRR, 2024


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