Zuowen Wang

According to our database, Zuowen Wang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings.

Yuanxi Wang, Zuowen Wang, Shih-Chii Liu

CoRR, 2024

Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input.

Joachim Ott, Zuowen Wang, Shih-Chii Liu

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Event-Based Eye Tracking. AIS 2024 Challenge Survey.

Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning.

Pehuen Moure, Longbiao Cheng, Joachim Ott, Zuowen Wang, Shih-Chii Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training.

Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing.

Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Deep Polarization Reconstruction with PDAVIS Events.

Haiyang Mei, Zuowen Wang, Xin Yang, Xiaopeng Wei, Tobi Delbruck

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Live Demo: E2P-Events to Polarization Reconstruction from PDAVIS Events.

Tobi Delbruck, Zuowen Wang, Haiyang Mei, Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz B. Milde, Viktor Gruev

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis.

Hasan Mohamed, Bogdan C. Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Küçükoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez, Shih-Chii Liu

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network.

Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022

Exploiting Spatial Sparsity for Event Cameras with Visual Transformers.

Zuowen Wang, Yuhuang Hu, Shih-Chii Liu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Person identification using deep neural networks on physiological biomarkers during exercise.

Zuowen Wang, Shu Wang, Céline Lafaye, Mathieu Saubade, Vincent Gremeaux, Shih-Chii Liu

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

LiteEdge: Lightweight Semantic Edge Detection Network.

Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Understanding (Non-)Robust Feature Disentanglement and the Relationship Between Low- and High-Dimensional Adversarial Attacks.

Zuowen Wang, Leo Horne

CoRR, 2020

GRUBERT: A GRU-Based Method to Fuse BERT Hidden Layers for Twitter Sentiment Analysis.

Leo Horne, Matthias Matti, Pouya Pourjafar, Zuowen Wang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, 2020

2019

Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness.

Fanny Yang, Zuowen Wang, Christina Heinze-Deml

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019