2 citations · 3 across the 5 of their papers we have counts for
5 papers
Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations
Xinglong Zhang, Cong Li, Hangjie Mo +13
Soft-bodied organisms such as octopuses and elephant trunks exhibit remarkable morphological adaptability, dynamically reconfiguring body shape and stiffness, and flexibly adjustin…
Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model
Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng +84
Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if…
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Yi Sun, Xin Xu, Jian Li +3
Multi-output deep neural networks(MONs) contain multiple task branches, and these tasks usually share partial network filters that lead to the entanglement of different task infere…
Frequency-specific segregation and integration of human cerebral cortex: an intrinsic functional atlas
Zhiguo Luo, Ling-Li Zeng, Hui Shen +1
The frequency-specific coupling mechanism of the functional human brain networks underpins its complex cognitive and behavioral functions. Nevertheless, it is not well unveiled wha…
Secure Classification With Augmented Features
Chenping Hou, Ling-Li Zeng, Dewen Hu
With the evolution of data collection ways, it is possible to produce abundant data described by multiple feature sets. Previous studies show that including more features does not…