70 citations · 70 across the 9 of their papers we have counts for
10 papers
A neuromorphic vision system for open-world visual intelligence
Jiankai Yin, Zheng Miao, Lianghao Guo +13
Time-efficient and robust visual intelligence remains a critical challenge in unstructured open-world environments, yet current approaches often rely on computationally intensive n…
Wearable-informed generative digital avatars predict task-conditioned post-stroke locomotion
Yanning Dai, Chenyu Tang, Ruizhi Zhang +16
Dynamic prediction of locomotor capacity after stroke could enable more individualized rehabilitation, yet current assessments largely provide static impairment scores and do not i…
High-Order Associative Learning Based on Memristive Circuits for Efficient Learning
Shengbo Wang, Xuemeng Li, Jialin Ding +5
Memristive associative learning has gained significant attention for its ability to mimic fundamental biological learning mechanisms while maintaining system simplicity. In this wo…
Neuromorphic spatiotemporal optical flow: Enabling ultrafast visual perception beyond human capabilities
Shengbo Wang, Jingwen Zhao, Tongming Pu +14
Optical flow, inspired by the mechanisms of biological visual systems, calculates spatial motion vectors within visual scenes that are necessary for enabling robotics to excel in c…
GEM: A GEneral Memristive Transistor Model
Shengbo Wang, Jingfang Pei, Cong Li +5
Neuromorphic devices, with their distinct advantages in energy efficiency and parallel processing, are pivotal in advancing artificial intelligence applications. Among these device…
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
Mengtian Kang, Yansong Hu, Shuo Gao +13
Childhood myopia constitutes a significant global health concern. It exhibits an escalating prevalence and has the potential to evolve into severe, irreversible conditions that det…
Self-reconfigurable Multifunctional Memristive Nociceptor for Intelligent Robotics
Shengbo Wang, Mingchao Fang, Lekai Song +5
Artificial nociceptors, mimicking human-like stimuli perception, are of significance for intelligent robotics to work in hazardous and dynamic scenarios. One of the most essential…
Real-Time State Modulation and Acquisition Circuit in Neuromorphic Memristive Systems
Shengbo Wang, Cong Li, Tongming Pu +5
Memristive neuromorphic systems are designed to emulate human perception and cognition, where the memristor states represent essential historical information to perform both low-le…
Diagnosis of Multiple Fundus Disorders Amidst a Scarcity of Medical Experts Via Self-supervised Machine Learning
Yong Liu, Mengtian Kang, Shuo Gao +12
Fundus diseases are major causes of visual impairment and blindness worldwide, especially in underdeveloped regions, where the shortage of ophthalmologists hinders timely diagnosis…
Intelligent machines work in unstructured environments by differential neuromorphic computing
Shengbo Wang, Shuo Gao, Chenyu Tang +9
Efficient operation of intelligent machines in the real world requires methods that allow them to understand and predict the uncertainties presented by the unstructured environment…