An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation.

WGAN-GP_Glu: A semi-supervised model based on double generator-Wasserstein GAN with gradient penalty algorithm for glutarylation site identification.

DMHGNN: Double multi-view heterogeneous graph neural network framework for drug-target interaction prediction.

ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-μ J/Sample On-Chip Learning for Edge-AI Applications.

Modelling and Mitigating Wind Turbine Clutter in Space-Air Bistatic Radar.

DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor.

A Novel Non-Stationary Clutter Suppression Approach for Space-Based Early Warning Radar Using an Interpulse Multi-Frequency Mode.

Hierarchical Hypergraph Learning in Association- Weighted Heterogeneous Network for miRNA- Disease Association Identification.

Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor.

Vector-Symbolic Architecture for Event-Based Optical Flow.

Real-time sub-milliwatt epilepsy detection implemented on a spiking neural network edge inference processor.

Clutter Characteristic Analysis and Grating Lobe Suppression for Distributed Small Satellite Space-Based Early Warning Radar.

AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA-disease associations identification.

Adaptive cruise control method based on improved grey prediction.

Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline.

2022 roadmap on neuromorphic devices and applications research in China.

A Novel Method for Identification of Glutarylation Sites Combining Borderline-SMOTE With Tomek Links Technique in Imbalanced Data.

SSKM_Succ: A Novel Succinylation Sites Prediction Method Incorporating K-Means Clustering With a New Semi-Supervised Learning Algorithm.

FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites.

DLF-Sul: a multi-module deep learning framework for prediction of S-sulfinylation sites in proteins.

Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similarities.

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence.

A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar.

Convolutional neural network for human behavior recognition based on smart bracelet.

New three-dimensional positioning algorithm through integrating TDOA and Newton's method.

Neural State Machines for Robust Learning and Control of Neuromorphic Agents.

Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology.

Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.

A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain.

Detecting Succinylation sites from protein sequences using ensemble support vector machine.

An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks.

An ultra-low leakage synaptic scaling homeostatic plasticity circuit with configurable time scales up to 100 kilo-seconds.

A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).

Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction.