Jianbiao Xiao

According to our database, Jianbiao Xiao authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

14.8 KASP: A 96.8% 10-Keyword Accuracy and 1.68μJ/Classification Keyword Spotting and Speaker Verification Processor Using Adaptive Beamforming and Progressive Wake-Up.

Jianbiao Xiao, Xuhui Zhang, Shijian Zhu, Zhengwei Yang, Meng Du, Chunsheng Ji, Yu Long, Xiao Chen, Xiaoyu Miao, Liang Zhou, Liang Chang, Shanshan Liu, Jun Zhou

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

A High Accuracy and Low Power CNN-Based Environmental Sound Classification Processor.

Lujie Peng, Junyu Yang, Zhiyi Chen, Longke Yan, Xiben Jiao, Jianbiao Xiao, Liang Zhou, Liang Chang, Yu Long, Jun Zhou

IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023

An Ultra-Low Power Reconfigurable Biomedical AI Processor With Adaptive Learning for Versatile Wearable Intelligent Health Monitoring.

Jiahao Liu, Jiajing Fan, Zirui Zhong, Hui Qiu, Jianbiao Xiao, Yong Zhou, Zhen Zhu, Guanghai Dai, Ning Wang, Qingsong Liu, Yuxiang Xie, Hongduo Liu, Liang Chang, Jun Zhou

IEEE Trans. Biomed. Circuits Syst., October, 2023

BSN-ESC: A Big-Small Network-Based Environmental Sound Classification Method for AIoT Applications.

Lujie Peng, Junyu Yang, Longke Yan, Zhiyi Chen, Jianbiao Xiao, Liang Zhou, Jun Zhou

Sensors, August, 2023

2022

ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network.

Jianbiao Xiao, Jiahao Liu, Huanqi Yang, Qingsong Liu, Ning Wang, Zhen Zhu, Yulong Chen, Yu Long, Liang Chang, Liang Zhou, Jun Zhou

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.

Ruixin Mao, Sixu Li, Zhaomin Zhang, Zihan Xia, Jianbiao Xiao, Zixuan Zhu, Jiahao Liu, Weiwei Shan, Liang Chang, Jun Zhou

IEEE Trans. Biomed. Circuits Syst., 2022

ULSED: An ultra-lightweight SED model for IoT devices.

Lujie Peng, Junyu Yang, Jianbiao Xiao, Mingxue Yang, Yujiang Wang, Haojie Qin, Xiaorong Li, Jun Zhou

J. Parallel Distributed Comput., 2022

An energy-efficient seizure detection processor using event-driven multi-stage CNN classification and segmented data processing with adaptive channel selection.

Jiahao Liu, Zirui Zhong, Yong Zhou, Hui Qiu, Jianbiao Xiao, Jiajing Fan, Zhaomin Zhang, Sixu Li, Yiming Xu, Siqi Yang, Weiwei Shan, Shuisheng Lin, Liang Chang, Jun Zhou

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.

Jiahao Liu, Jianbiao Xiao, Jiajing Fan, Qingsong Liu, Zixuan Zhu, Sixu Li, Zhaomin Zhang, Siqi Yang, Weiwei Shan, Shuisheng Lin, Liang Chang, Liang Zhou, Jun Zhou

Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

2021

A Fast and Energy-Efficient SNN Processor With Adaptive Clock/Event-Driven Computation Scheme and Online Learning.

Sixu Li, Zhaomin Zhang, Ruixin Mao, Jianbiao Xiao, Liang Chang, Jun Zhou

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Energy-efficient computing-in-memory architecture for AI processor: device, circuit, architecture perspective.

Liang Chang, Chenglong Li, Zhaomin Zhang, Jianbiao Xiao, Qingsong Liu, Zhen Zhu, Weihang Li, Zixuan Zhu, Siqi Yang, Jun Zhou

Sci. China Inf. Sci., 2021

4.5 BioAIP: A Reconfigurable Biomedical AI Processor with Adaptive Learning for Versatile Intelligent Health Monitoring.

Jiahao Liu, Zhen Zhu, Yong Zhou, Ning Wang, Guanghai Dai, Qingsong Liu, Jianbiao Xiao, Yuxiang Xie, Zirui Zhong, Hongduo Liu, Liang Chang, Jun Zhou

Proceedings of the IEEE International Solid-State Circuits Conference, 2021

2020

Scalability Analysis and Modeling of XPoint-based MRAM.

Liang Chang, Siqi Yang, Jiahao Liu, Jianbiao Xiao, Jun Zhou

Proceedings of the International SoC Design Conference, 2020