1 citations · 2 across the 4 of their papers we have counts for
4 papers
A noise-tolerant, resource-saving probabilistic binary neural network implemented by the SOT-MRAM compute-in-memory system
Yu Gu, Puyang Huang, Tianhao Chen +5
We report a spin-orbit torque(SOT) magnetoresistive random-access memory(MRAM)-based probabilistic binary neural network(PBNN) for resource-saving and hardware noise-tolerant compu…
Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance
Zheng Fang, Tianhao Chen, Dong Jiang +2
Multiple autonomous underwater vehicles (multi-AUV) can cooperatively accomplish tasks that a single AUV cannot complete. Recently, multi-agent reinforcement learning has been intr…
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework
Tianhao Chen, Pengbo Xu, Haibiao Zheng
In the field of scientific computing, many problem-solving approaches tend to focus only on the process and final outcome, even in AI for science, there is a lack of deep multimoda…
Use neural networks to recognize students' handwritten letters and incorrect symbols
JiaJun Zhu, Zichuan Yang, Binjie Hong +6
Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task. Assuming possible options are 'abcd' and…