240 citations · 307 across the 16 of their papers we have counts for
13 papers
Dflow, a Python framework for constructing cloud-native AI-for-Science workflows
Xinzijian Liu, Yanbo Han, Zhuoyuan Li +15
In the AI-for-science era, scientific computing scenarios such as concurrent learning and high-throughput computing demand a new generation of infrastructure that supports scalable…
Universal interatomic potential for perovskite oxides
Jing Wu, Jiyuan Yang, Yuan-Jinsheng Liu +5
With their celebrated structural and chemical flexibility, perovskite oxides have served as a highly adaptable material platform for exploring emergent phenomena arising from the i…
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
Tianchen Zhao, Xuefei Ning, Ke Hong +8
Voxel-based methods have achieved state-of-the-art performance for 3D object detection in autonomous driving. However, their significant computational and memory costs pose a chall…
Tracking Berry curvature effect in molecular dynamics by ultrafast magnetic x-ray scattering
Ming Zhang, Xiaoyu Mi, Linfeng Zhang +2
The spin-dependent Berry force is a genuine effect of Berry curvature in molecular dynamics, which can dramatically result in spatial spin separation and change of reaction pathway…
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study
Muzhou Yu, Linfeng Zhang, Kaisheng Ma
The excellent performance of deep neural networks is usually accompanied by a large number of parameters and computations, which have limited their usage on the resource-limited ed…
Thermal Conductivity of Water at Extreme Conditions
Cunzhi Zhang, Marcello Puligheddu, Linfeng Zhang +2
Measuring the thermal conductivity () of water at extreme conditions is a challenging task and few experimental data are available. We predict for temperatures and pressures…