Xiaochen Zheng


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!

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News


Publications

*: equal contribution

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SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting
Xiaochen Zheng*, Xingyu Chen*, Manuel Schurch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
arXiv preprint arXiv:2303.18205, 2023
Paper / Supplemental / Code /
@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}, 
                }
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MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection
Dehua Zheng, Xiaochen Zheng, Laurence Yang, Yuan Gao, Chenlu Zhu, Yiheng Ruan
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
Paper / Supplemental / Code /
@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}, 
                }
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Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images
Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021
Paper / Supplemental / Code /
@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}, 
                }

Supervision

Xingyu Chen (2022 - 2023), master student at ETH Zurich.

Richard Affolter (2022 - 2023), master student at ETH Zurich.

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