Yi Xu

I am a 5th-year PhD student in Computer Science at Fudan University, advised by Prof. Shuigeng Zhou. I received my bachelor's degree from Shanghai University.

I work in the areas of video understanding, and weakly/semi-supervised learning.

I am working as a research intern in Tencent. I have worked as a research intern in DAMO Academy Alibaba (8 months), research intern in Bilibili AI group (3 years) and summer intern in Microsoft Bing Ads group (4 months). I was selected into the 2021 Tencent Rhino-Bird Elite Training Program.

I am expected to graduate in 2022, and looking for a full-time job. Welcome to contact me!

Email / CV / Google Scholar / Github

Recent News

Our paper on Semi-supervised Learning for Image Classification is accepted by NeurIPS 2021.
Our paper on Weakly Supervised Learning for Text Classification is accepted by EMNLP 2021.
Our paper on Video Compression Artifact Reduction is accepted by MM 2021.
Our paper on Video Compression Artifact Reduction is accepted by CVPR Workshp NTIRE 2021
Our preprint on Dance Style Transfering is released.
Our paper on GIF Thumbnail Generation is accepted by AAAI 2021.

Publications

	DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou, NeurIPS, 2021 paper / bibtex
	Weakly-supervised Text Classification Based on Keyword Graph Lu Zhang, Jiandong Ding, Yi Xu, Yingyao Liu, Shuigeng Zhou, EMNLP, 2021 paper / bibtex Code
	Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction Minyi Zhao, Yi Xu (Co-author), Shuigeng Zhou, MM, 2021 paper / bibtex / Code
	Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun CVPR Workshop, 2021 NTIRE Challenge on Quality Enhancement of Compressed Video Winner of Tracks 1 and 2, Runner-up of Track 3 paper / bibtex / Challenge Page
	Dance Generation with Style Embedding: Learning and Transferring Latent Representations of Dance Styles Xinjian Zhang, Yi Xu, Su Yang, Longwen Gao, Huyang Sun Arxiv, PrePrint paper / Demo / bibtex
	GIF Thumbnails: Attract More Clicks to Your Videos Yi Xu, Fan Bai, Yingxuan Shi, Qiuyu Chen, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun AAAI, 2021 paper / Supp / Presentation / project page / Demo / bibtex
	Optimal Trade Execution Based on Deep Deterministic Policy Gradient Zekun Ye, Weijie Deng, Shuigeng Zhou, Yi Xu, Jihong Guan DASFAA, 2020 paper / bibtex
	Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment Qiuyu Chen, Wei Zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan CVPR, 2020 paper / bibtex
	Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance Kai Tian, Yi Xu, Shuigeng Zhou, Jihong Guan AAAI, 2020 (Oral Presentation) paper / project page / bibtex
	Non-Local ConvLSTM for Video Compression Artifact Reduction Yi Xu, Longwen Gao Kai Tian, Shuigeng Zhou, Huyang Sun ICCV, 2019 paper / Supp / project page / Demo / bibtex
	Versatile Multiple Choice Learning and Its Application to Vision Computing Kai Tian, Yi Xu, Shuigeng Zhou, Jihong Guan CVPR, 2019 paper / bibtex
	Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning Fan Wu, Shuigeng Zhou, Kang Wang, Yi Xu, Jihong Guan, Jun Huan PRICAI, 2019 (Oral Presentation) paper / bibtex
	Effective community division based on improved spectral clustering Yi Xu, Zhi Zhuang, Weimin Li Xiaokang Zhou NeuroComputing, 2018 paper / bibtex

Stolen from Jon Barron