I am a first-year PhD student on machine learning and data science in Institute for Computational Science at University of Zürich and ETH AI Center.
Bio: I obtained my master degree from ETH Zürich in 2021, and my bachelor degree from Dalian University of Technology in 2017.
I am interested in and focus on multimodal NLP, computer vision and digital health. I also work closely with University Hospital Zürich (USZ). I am open to academic collaborations, and feel free to reach out to me via mail!
[11 Oct 2022] My co-authored paper about camouflaged object detection is accepted by WACV 2023!
*: equal contribution
@InProceedings{zheng2023simts,
author = {Xiaochen Zheng* and Xingyu Chen* and Manuel Schurch and Amina Mollaysa and Ahmed Allam and Michael Krauthammer},
title = {SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting},
booktitle = {arXiv preprint arXiv:2303.18205},
year = {2023},
}
@InProceedings{Zheng_2023_WACV,
author = {Dehua Zheng and Xiaochen Zheng and Laurence Yang and Yuan Gao and Chenlu Zhu and Yiheng Ruan},
title = {MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
year = {2023},
}
@InProceedings{Zheng_2021_ICCV,
author = {Xiaochen Zheng and Benjamin Kellenberger and Rui Gong and Irena Hajnsek and Devis Tuia},
title = {Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
year = {2021},
}
Xingyu Chen (2022 - 2023), master student at ETH Zurich.
Richard Affolter (2022 - 2023), master student at ETH Zurich.
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