Qinyu Chen

Position:	Postdoc -- ended Jan 2024
Email:	qinyu@ini.uzh.ch
Work phone:

My name is Qinyu Chen and I am interested in designing neuromorphic AI chips that can hopefully improve the quality of our daily life.
I received my Ph.D. degree from Nanjing University, CHINA, in 2021, and joined INI (sensors group) as a visiting PhD student and postdoc in 2019 and 2022.

Supervisor

Shih-Chii Liu

Publications

2024

Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen and others Event-Based Eye Tracking. AIS 2024 Challenge Survey, The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 Workshop, 2024

2023

Fabrizio Ottati, Chang Gao, Qinyu Chen, Giovanni Brignone, Mario R Casu, Jason K Eshraghian, Luciano Lavagno To spike or not to spike: A digital hardware perspective on deep learning acceleration, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023 pdf
Qinyu Chen, Congyi Sun, Chang Gao, Xinyuan Fang, Haitao Luan FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation, 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023
Qinyu Chen, Yaoxing Chang, Kwantae Kim, Chang Gao, Shih-Chii Liu An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting, IEEE International Symposium on Circuits and Systems, 2023 pdf
Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao 3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network, 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023 pdf
Sheng Li, Jing Wu, Hanbai Lyu, Yuchen Xie, Yiqi Sun, Qinyu Chen, Yi Shi, Lijia Pan An artificial spiking afferent nerve based on synaptic transistor for thermal perception, IEEE Electron Device Letters, 2023 pdf

2022

Qinyu Chen*, Chang Gao*, Xinyuan Fang, Haitao Luan Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022
Qinyu Chen, Congyi Sun, Zhonghai Lu, Chang Gao Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks, 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022

2021

Chen, Q., Rueckauer, B., Li, L., Delbruck, T. and Liu, S-C. Reducing Latency in a Converted Spiking Video Segmentation Network, 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021

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