Robotics and Automation Activities in China [Industrial Activities]. - Hong Qiao; Rui Li 077; Peijie Yin (IEEE Robotics Autom. Mag., 2015)

NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning. - Peijie Yin; Lu Qi; Xuanyang Xi; Bo Zhang 006; Hong Qiao (IJCNN, 2016)

Biologically inspired model simulating visual pathways and cerebellum function in human - Achieving visuomotor coordination and high precision movement with learning ability. - Wei Wu 003; Hong Qiao; Jiahao Chen 003; Peijie Yin; Yinlin Li (CoRR, 2016)

A Novel Biologically Mechanism-Based Visual Cognition Model-Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity. - Peijie Yin; Hong Qiao; Wei Wu 003; Lu Qi; Yinlin Li; Shanlin Zhong; Bo Zhang 006 (CoRR, 2016)

A biologically inspired model mimicking the memory and two distinct pathways of face perception. - Xuanyang Xi; Peijie Yin; Hong Qiao; Yinlin Li; WenSen Feng (Neurocomputing, 2016)

Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework. - Xiao Huang 004; Wei Wu 003; Peijie Yin; Hong Qiao (IJCNN, 2017)

A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity. - Peijie Yin; Hong Qiao; Wei Wu 003; Lu Qi; Yinlin Li; Shanlin Zhong; Bo Zhang 006 (IEEE Trans. Cogn. Dev. Syst., 2018)

Achieving Fine-Grained QoS for Privacy-Aware Users in LBSs. - Fenghua Li; Peijie Yin; Yahong Chen; Ben Niu 001; Hui Li 006 (IEEE Wirel. Commun., 2020)

Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application. - Hong Qiao; Ya-Xiong Wu; Shanlin Zhong; Peijie Yin; Jiahao Chen 003 (Int. J. Autom. Comput., 2023)