Yun Chen

Decoding molecular weight cut-off (MWCO)-pressure-temperature synergy on flux via machine learning

Shengbo Yu, Xuena Dong, Yu Liu, Lu Liu, Yue Zhao, Yun Chen, et al.

DGNA: Dissecting GPU NUMA Architecture through Microbenchmarking and Data Analysis

Changxi Liu, Yun Chen, Trevor E. Carlson

Graphics Processing Units (GPUs), due to their immense parallel processing capabilities, have become essential across various fields, including gaming and artificial intelligence. With significant advancements in GPU cores, GPU memory efficiency has lagged, resulting in bottlenec…Read more

Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting

Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Yanchang Zhao, et al.

Regional climate prediction presents unique challenges for time series foundation models, which typically process temporal patterns through single-pass inference. Expert climatologists, in contrast, employ multi-scale temporal analysis and iterative refinement based on systematic…Read more

Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting

Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Yanchang Zhao, et al.

Large \emph{Time Series Foundation Models} (TSFMs) demonstrate strong zero-shot forecasting capabilities across diverse domains. However, their application to regional climate forecasting faces practical challenges: model weights are often proprietary, local training records are…Read more

Efficient Text-to-Audio Generation via Pruning

Arshdeep Singh, Yi Yuan, Yun Chen, Wenwu Wang, Mark D. Plumbley

Diffusion-based text-to-audio generative models such as AudioLDM achieve high perceptual quality and strong semantic consistency; however, their practical deployment is hindered by the substantial computational cost of the U-Net denoising backbone. In this work, we apply model pr…Read more

MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters

Yuming Yang, Xiao Sun, Yuanwei Zou, Zhengxiao Wu, Yun Chen, Jiang Zhong, et al.

Large language models (LLMs) have shown strong performance on isolated psychiatric tasks, including dialogue, diagnosis, and treatment planning, yet existing benchmarks rarely simulate complete psychiatric clinical encounters. We introduce $\textbf{MentalHospital}$, a virtual eva…Read more

Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL

Hanqing Wang, Yongdong Chi, Jian Yang, Lei Yang, Jiehui Zhao, Yun Chen, et al.

While Large Language Models (LLMs) have achieved remarkable success in Text-to-SQL tasks, their deployment in real-world environments is hindered by latent reliability issues. Identifying these latent weaknesses is critical for building trustworthy database interfaces, yet curren…Read more