Zuowen Wang

Position:
PhD Student
Email:
Work phone:
Before I joined the Sensors Group at INI in May. 2021 as a doctoral student, I received my B.Sc. (2019) and M.Sc. (2021) degrees in computer science from ETH Zurich. I am a member of the Neural active Visual Prosthetics for Restoring function (NeuraViPeR) project led by Prof. Shih-Chii Liu and will be working on the development and acceleration of visual scene parsing algorithms. My research interests lie in event-based vision processing, robust deep learning, as well as acceleration and compression of deep learning models. I enjoy learning languages and reading (non-academic) literature in different languages in my free time.

Supervisor

Shih-Chii Liu

Publications

2023

  • Haiyang Mei, Zuowen Wang, Xin Yang, Xiaopeng Wei, Tobi Delbruck Deep Polarization Reconstruction with PDAVIS Events, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  • Hasan Mohamed, Bogdan Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Kucukoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez. Shih-Chii Liu A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis, The 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023
  • 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
  • Tobi Delbruck, Zuowen Wang, Haiyang Mei, Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz B. Milde, and Viktor Gruev Live Demo: E2P–Events to Polarization Reconstruction from PDAVIS Events, The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 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
  • Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing, Advances in Neural Information Processing Systems (NeurIPS) 2023 Workshop, 2023

2022

2021

2019

© 2023 Institut für Neuroinformatik