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En-Xiao Liu

Adjunct Associate Professor

National University of Singapore (NUS)

Singapore

Research Interests

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About

En-Xiao Liu is an Adjunct Associate Professor at the National University of Singapore. His research focuses on advanced testing methodologies for mixed-signal systems, machine learning applications in electromagnetic interference, and the design and analysis of neuromorphic chips. Recent contributions include innovative approaches to signal integrity and radiation protection in integrated systems, as well as the development of deep learning models for optimization in high-speed interconnects.

Articles (18)

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2025

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2025

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2025

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2025

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2022

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2022

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2020

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2020

Collaborators (4)

Zhenyu Zhao

National University of Singapore (NUS)

SINGAPORE

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Yang Jiang

Institute of High Performance Computing

SINGAPORE

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Alistair Duffy

Professor of Electromagnetics

De Montfort University

UNITED KINGDOM

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Yongxin Guo

Professor

National University of Singapore (NUS)

SINGAPORE

View details

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En-Xiao Liu

Research Interests

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About

Articles (18)

A novel test items evaluation method for mixed-signal system-on-chips based on extra information gain cost

Machine Learning to Predict EMI Radiation and Optimize the Structure of Pinmap Packages

Near-Field Radiation Prediction for Neuromorphic Chip Based on Deep Learning

Neuron Circuit Design and Signal Integrity Analysis of a Large-scale Memristor-based Crossbar Array

Signal Integrity Analysis and Radiation Protection Design for Neuronal Signal in 3-D Heterogeneous Integrated Neuromorphic Chip

Signal Integrity and Coupling Electric Field Analysis of a Novel Double-Layer RRAM Crossbar Array in Neuromorphic Chips

System-on-Chip Test and Characterization: A Review

Deep Neural Network-Based Surrogate-Assisted Inverse Optimization for High-Speed Interconnects

Hybrid Signal Integrity Modeling and Analysis of Heterogeneous Integrated System With Neuromorphic Darwin Chip

Editorial: Introduction to the Special Issue on AI, Machine Learning, and Deep Learning: Advances and Applications for EMC

A New Pre-conditioned STDP Rule and Its Hardware Implementation in Neuromorphic Crossbar Array

Modeling and Analysis of Spike Signal Sequence for Memristor Crossbar Array in Neuromorphic Chips

A Full-Wave Generalized PEEC Model for Periodic Metallic Structure With Arbitrary Shape

Modeling and Signal Integrity Analysis of RRAM-Based Neuromorphic Chip Crossbar Array Using Partial Equivalent Element Circuit (PEEC) Method

Uncertainty Quantification of Signal Integrity Analysis for Neuromorphic Chips

Circuit modeling for RRAM-Based neuromorphic chip crossbar array with and without write-verify scheme

A framework for community noise modelling using machine learning methods

An approach combining the integral equation method with a generalized image technique for modeling incabin radio wave propagation

Collaborators (4)

Zhenyu Zhao

Yang Jiang

Alistair Duffy

Yongxin Guo

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