Yu Sun

Deep learning-based screening for mild cognitive impairment through clock-drawing test

Wen-Yu Hsieh, Yu Sun, Daw-Tung Lin

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion

Yu Sun, Yuan Chang, Xiaohou Shi, Yan Sun

Large-scale multivariate time series from heterogeneous IoT sensors demand accurate long-term forecasting for resource scheduling and predictive maintenance. While recent time series foundation models exhibit strong generalization, they rely on static parametric knowledge and lac…Read more

TableVerse: A Large-scale Tabletop Dataset with Real-world Grounded Layouts for Generalizable Manipulation

Boyuan Wang, Yue Zhang, Xutao Xue, Xueyu Song, Yu Sun

The development of generalizable robotic manipulation policies is inherently bounded by the availability of large-scale, high-fidelity scene data. While recent automated synthesis methods attempt to bridge this gap via text-to-layout hallucination or simplified procedural generat…Read more

Lessons learned from the 2025 agentic AI for science hackathon

Jaehyung Lee, Harichandana Neralla, Charles Rhys Campbell, Kent Zhang, Akshaya Ajith, Justin Ely, et al.

Abstract The rapid emergence of agentic AI presents new opportunities and challenges for accelerating scientific discovery through tool-augmented reasoning, autonomous workflows, and reproducible results. To explore these capabilities in a hands-on, community-driven setting, we h…Read more

Evolution of network structure and driving mechanisms of food production resilience in arid regions: a machine learning-based approach

Yu Sun, Xinwu Li, Ben Tong, Xiao Ding, Hankun Ye

A Review of Deep Learning Model Approach for Pain Assessment in Infant Cry Sounds

Anthony McCofie, Dmitry Goldgof, Jacqueline Hausmann, Peter R. Mouton, Yu Sun, Md Imran Hossain

Infant cries serve as a primary indicator of distress and pain; however, distinguishing pain-related cries from those triggered by other needs remains a challenging task, even for trained professionals. Timely and accurate pain assessment is essential for appropriate medical inte…Read more

A Novel Dual-Modality Dual-View Hybrid Deep Learning–Machine Learning Framework for the Prediction of Carotid Plaque Vulnerability via Late Fusion

Wenxuan Zhang, Chao Hou, Xinyi Wang, Hongyu Kang, Shuai Li, Yu Sun, et al.

Background: Ultrasound imaging is an ideal tool for regular carotid plaque screening to identify individuals at high risk of stroke for clinical intervention. However, no existing study leverages multi-modal multi-view ultrasound imaging for AI-enabled auto-classification of caro…Read more