activity
20232026
collaborators

5 papers

cs.LG2026

Graph2TS: Structure-Controlled Time Series Generation via Quantile-Graph VAEs

Shaoshuai Du, Joze M. Rozanec, Andy Pimentel +1

Although recent generative models can produce time series with close marginal distributions, they often face a fundamental tension between preserving global temporal structure and…

cs.LG2025

MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection

Yixian Shen, Qi Bi, Jia-Hong Huang +3

We present a new adaptation method MaCP, Minimal yet Mighty adaptive Cosine Projection, that achieves exceptional performance while requiring minimal parameters and memory for fine…

cs.CV2025

SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation

Yixian Shen, Qi Bi, Jia-Hong Huang +3

Low-rank adaptation (LoRA) has been demonstrated effective in reducing the trainable parameter number when fine-tuning a large foundation model (LLM). However, it still encounters…

cs.LG2024

MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection

Yixian Shen, Qi Bi, Jia-Hong Huang +3

We present a new adaptation method MaCP, Minimal yet Mighty adaptive Cosine Projection, that achieves exceptional performance while requiring minimal parameters and memory for fine…

cs.NE2023

Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays

Stephen Nicholas Swatman, Ana-Lucia Varbanescu, Andy D. Pimentel +2

The layout of multi-dimensional data can have a significant impact on the efficacy of hardware caches and, by extension, the performance of applications. Common multi-dimensional l…