Alert button
Picture for Yinan Wang

Yinan Wang

Alert button

School of Engineering, University of Liverpool, Liverpool, UK

Order Estimation of Linear-Phase FIR Filters for DAC Equalization in Multiple Nyquist Bands

Feb 19, 2024
Deijany Rodriguez Linares, Håkan Johansson, Yinan Wang

Viaarxiv icon

H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses

Jan 05, 2024
Haidong Gu, Nathan Gaw, Yinan Wang, Chancellor Johnstone, Christine Beauchene, Sophia Yuditskaya, Hrishikesh Rao, Chun-An Chou

Viaarxiv icon

Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks

May 10, 2022
Xiaodong He, Yinan Wang, Juan Li

Figure 1 for Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks
Figure 2 for Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks
Figure 3 for Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks
Figure 4 for Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks
Viaarxiv icon

Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty

Jan 12, 2022
Yinhua Liu, Wenzheng Zhao, Hongpeng Liu, Yinan Wang, Xiaowei Yue

Figure 1 for Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty
Figure 2 for Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty
Figure 3 for Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty
Figure 4 for Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty
Viaarxiv icon

WOOD: Wasserstein-based Out-of-Distribution Detection

Dec 13, 2021
Yinan Wang, Wenbo Sun, Jionghua "Judy" Jin, Zhenyu "James" Kong, Xiaowei Yue

Figure 1 for WOOD: Wasserstein-based Out-of-Distribution Detection
Figure 2 for WOOD: Wasserstein-based Out-of-Distribution Detection
Figure 3 for WOOD: Wasserstein-based Out-of-Distribution Detection
Figure 4 for WOOD: Wasserstein-based Out-of-Distribution Detection
Viaarxiv icon

NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis

Dec 12, 2020
Yinan Wang, Kaiwen Wang, Wenjun Cai, Xiaowei Yue

Figure 1 for NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis
Figure 2 for NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis
Figure 3 for NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis
Figure 4 for NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis
Viaarxiv icon

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials

Nov 20, 2020
Yinan Wang, Diane Oyen, Weihong, Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue

Figure 1 for StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Figure 2 for StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Figure 3 for StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Figure 4 for StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Viaarxiv icon

CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning

May 28, 2020
Yinan Wang, Weihong, Guo, Xiaowei Yue

Figure 1 for CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning
Figure 2 for CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning
Figure 3 for CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning
Figure 4 for CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning
Viaarxiv icon

Gmail Smart Compose: Real-Time Assisted Writing

May 17, 2019
Mia Xu Chen, Benjamin N Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu

Figure 1 for Gmail Smart Compose: Real-Time Assisted Writing
Figure 2 for Gmail Smart Compose: Real-Time Assisted Writing
Figure 3 for Gmail Smart Compose: Real-Time Assisted Writing
Figure 4 for Gmail Smart Compose: Real-Time Assisted Writing
Viaarxiv icon