# Mengwen Yuan

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/mengwen-yuan/

## Facts

| Field | Value |
| --- | --- |
| Citations | 127 |
| Field | Advanced Memory and Neural Computing |
| h-index | 6 |
| i10-index | 5 |
| Last Known Institution | Zhejiang Lab |
| OpenAlex ID | https://openalex.org/A5068760851 |
| ORCID iD | 0000-0002-4957-4289 |
| Works | 13 |

## Researcher papers

- [Trainable Spiking-YOLO for low-latency and high-performance object detection](https://scholariq.org/papers/trainable-spiking-yolo-for-low-latency-and-high-performance-object-detection/)
- [Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses](https://scholariq.org/papers/reinforcement-learning-in-spiking-neural-networks-with-stochastic-and/)
- [Effects of mobile phone App-based continuing nursing care on self-efficacy, quality of life, and motor function of stroke patients in the community](https://scholariq.org/papers/effects-of-mobile-phone-app-based-continuing-nursing-care-on-self-efficacy/)
- [Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model](https://scholariq.org/papers/enhancing-snn-based-spatio-temporal-learning-a-benchmark-dataset-and-cross/)
- [SPAIC: A Spike-Based Artificial Intelligence Computing Framework](https://scholariq.org/papers/spaic-a-spike-based-artificial-intelligence-computing-framework-2/)
- [Spiking Reinforcement Learning with Memory Ability for Mapless Navigation](https://scholariq.org/papers/spiking-reinforcement-learning-with-memory-ability-for-mapless-navigation/)
- [An Unsupervised Spiking Deep Neural Network for Object Recognition](https://scholariq.org/papers/an-unsupervised-spiking-deep-neural-network-for-object-recognition/)
- [CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents](https://scholariq.org/papers/casrl-collision-avoidance-with-spiking-reinforcement-learning-among-dynamic/)
- [SPAIC: A Spike-based Artificial Intelligence Computing Framework](https://scholariq.org/papers/spaic-a-spike-based-artificial-intelligence-computing-framework/)
- [A temporal encoding method based on expansion representation](https://scholariq.org/papers/a-temporal-encoding-method-based-on-expansion-representation/)

## Researcher topics

- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [Ferroelectric and Negative Capacitance Devices](https://scholariq.org/topics/ferroelectric-and-negative-capacitance-devices/)
- [Neural Networks and Reservoir Computing](https://scholariq.org/topics/neural-networks-and-reservoir-computing/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)

## Researcher university

- [Zhejiang Lab](https://scholariq.org/institutions/zhejiang-lab/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.