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

2024

  • Joachim Ott, Zuowen Wang, Shih-Chii Liu Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input, Proceedings of the 2024 Annual Neuro-Inspired Computational Elements Conference, 2024
  • Pehuen Moure, L.ongbiao Cheng, Joachim Ott, Zuowen Wang, and Shih-Chii Liu Regularized parameter uncertainty for improving generalization in reinforcement learning, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 23805-23814, 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
  • 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
  • Zuowen Wang, Pehuen Moure, Longbiao Cheng, Niklas Hahn, and Shih-Chii Liu DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations, Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024

2023

2022

2021

2019