Jiahao Liu

Orcid: 0000-0002-7776-2439

According to our database1, Jiahao Liu authored at least 13 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A High-Accuracy and Ultra-Energy-Efficient Cardiac Arrhythmia Classification Processor for Wearable Intelligent ECG Monitoring.
IEEE J. Solid State Circuits, October, 2025

2024
A High Accuracy and Ultra-Energy-Efficient Zero-Shot-Retraining Seizure Detection Processor.
IEEE J. Solid State Circuits, November, 2024

33.1 A High-Accuracy and Energy-Efficient Zero-Shot-Retraining Seizure-Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adaptive Channel Selection.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023
An Ultra-Low Power Reconfigurable Biomedical AI Processor With Adaptive Learning for Versatile Wearable Intelligent Health Monitoring.
IEEE Trans. Biomed. Circuits Syst., October, 2023

sEMG-Based Wearable HMI System For Real-Time Robotic Arm Control With Edge AI.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

A Lightweight Convolutional Neural Network for Atrial Fibrillation Detection Using Dual-Channel Binary Features from Single-Lead Short ECG.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network.
IEEE J. Biomed. Health Informatics, 2022

An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning.
IEEE Trans. Biomed. Circuits Syst., 2022

An energy-efficient seizure detection processor using event-driven multi-stage CNN classification and segmented data processing with adaptive channel selection.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

An Energy-Efficient Cardiac Arrhythmia Classification Processor using Heartbeat Difference based Classification and Event-Driven Neural Network Computation with Adaptive Wake-Up.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

2021
4.5 BioAIP: A Reconfigurable Biomedical AI Processor with Adaptive Learning for Versatile Intelligent Health Monitoring.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021

A High Accuracy & Low Power EDR Estimation Processor for Wearable Devices.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

2020
Scalability Analysis and Modeling of XPoint-based MRAM.
Proceedings of the International SoC Design Conference, 2020


  Loading...