1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation
Chaoran Pang, Lin Wang, Shuangrong Liu +4
In this paper, a Convolution-Based Converter (CBC) is proposed to develop a methodology for removing the strong or fixed priors in estimating the probability distribution of target…
cs.RO2024★ 1 cited
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
Junjie Zhou, Lin Wang, Qiang Meng +1
Generating realistic and diverse road scenarios is essential for autonomous vehicle testing and validation. Nevertheless, owing to the complexity and variability of real-world road…
cs.LG2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent
Lin Wang, Zhichao Wang, Xiaoying Tang
The advent of large language models (LLMs) has revolutionized the deep learning paradigm, yielding impressive results across a wide array of tasks. However, the pre-training or fin…