2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations
Yuan Chen, Abdul Khaliq, Khaled M. Furati
Nonlinear time-dependent partial differential equations are essential in modeling complex phenomena across diverse fields, yet they pose significant challenges due to their computa…
cs.LG2024★ 1 cited
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
Xing Hu, Yuan Cheng, Dawei Yang +4
Post-training quantization (PTQ) serves as a potent technique to accelerate the inference of large language models (LLMs). Nonetheless, existing works still necessitate a considera…
cs.LG2023★ 2 cited
Learning Stochastic Dynamical System via Flow Map Operator
Yuan Chen, Dongbin Xiu
We present a numerical framework for learning unknown stochastic dynamical systems using measurement data. Termed stochastic flow map learning (sFML), the new framework is an exten…