5 citations · 8 across the 16 of their papers we have counts for
5 papers · 1 filter
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks
Yatao Li, Jianfeng Zhan
Artificial Intelligence for Science (AI4S) is an emerging research field that utilizes machine learning advancements to tackle complex scientific computational issues, aiming to en…
Hierarchical Masked 3D Diffusion Model for Video Outpainting
Fanda Fan, Chaoxu Guo, Litong Gong +5
Video outpainting aims to adequately complete missing areas at the edges of video frames. Compared to image outpainting, it presents an additional challenge as the model should mai…
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis
Yunyou Huang, Xiaoshuang Liang, Xiangjiang Lu +9
Although Alzheimer's disease (AD) cannot be reversed or cured, timely diagnosis can significantly reduce the burden of treatment and care. Current research on AD diagnosis models u…
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis
Yunyou Huang, Xianglong Guan, Xiangjiang Lu +8
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will significantly benefit patients' medical treatment and care. In recent works, AD diagnosis has the primary assu…
WPC: Whole-picture Workload Characterization
Lei Wang, Kaiyong Yang, Chenxi Wang +7
This article raises an important and challenging workload characterization issue: can we uncover each critical component across the stacks contributing what percentages to any spec…