2 citations · 2 across the 5 of their papers we have counts for
6 papers
Self-organized learning emerges from coherent coupling of critical neurons
Chuanbo Liu, Jin Wang
Deep artificial neural networks have surpassed human-level performance across a diverse array of complex learning tasks, establishing themselves as indispensable tools in both soci…
Understanding Cellular Noise with Optical Perturbation and Deep Learning
Chuanbo Liu, Yu Fu, Lu Lin +2
Noise plays a crucial role in the regulation of cellular and organismal function and behavior. Exploring noise's impact is key to understanding fundamental biological processes, su…
Towards a dissipative quantum classifier
He Wang, Chuanbo Liu, Jin Wang
In this paper, we propose a novel quantum classifier utilizing dissipative engineering. Unlike standard quantum circuit models, the classifier consists of a central spin-qubit mode…
Language models as master equation solvers
Chuanbo Liu, Jin Wang
Master equations are of fundamental importance in modeling stochastic dynamical systems.However, solving master equations is challenging due to the exponential increase in the numb…
Absolute quantification of real-time PCR data with stage signal difference analysis
Chuanbo Liu, Jin Wang
Real-time PCR, or Real-time Quantitative PCR (qPCR) is an effective approach to quantify nucleic acid samples. Given the complicated reaction system along with thermal cycles, ther…
Parallel implementations of random time algorithm for chemical network stochastic simulations
Chuanbo Liu, Jin Wang
In this study, we have developed a parallel version of the random time simulation algorithm. Firstly, we gave a rigorous basis of the random time description of the stochastic proc…