Person

Xi Chen

Position:	PhD Student -- ended Mar 2024
Email:	xi@ini.uzh.ch
Work phone:	076 414 6220

I joined the Sensors Group of INI in November 2018 and have been working with Prof. Shih-Chii Liu and Prof. Tobi Delbruck. I am researching on DNN training accelerators, more specifically on hardware architectures for incremental learning of RNNs on mobile and IoT devices.

Supervisor

Shih-Chii Liu

Publications

2025

Demuru, Silvia and Kim, Jaemin and Kiselev, Ilya and Jeanneret-Grosjean, Guillaume Joël and Kunnel, Brince Paul and Liu, Min and Chen, Xi and Saubade, Mathieu and Lafaye, Celine and Liu, Shih-Chii and Briand, Danick Advanced analysis of fully-printed organic transistors platform for multi-ion detection in sweat, Biosensors and Bioelectronics: X 100661, 2025

2024

Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training, The AAAI Conference on Artificial Intelligence (AAAI), 2024

2023

Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck Exploiting symmetric temporally sparse BPTT for efficient RNN training, Advances in Neural Information Processing Systems (NeurIPS) 2023 Workshop, 2023

2021

Xi Chen, Chang Gao, Tobi Delbruck, Shih-Chii Liu EILE: Efficient Incremental Learning on the Edge, The International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021

2020

Gao, C., Rios-Navarro, A., Chen, X., Delbruck, T., Liu, S-C., EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference, 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2020
Gao, C., Rios-Navarro, A., Chen, X., Delbruck, T., Liu, S-C., EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference, IEEE Journal on Emerging and Selected Topics in Circuits and Systems , 2020