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I am a third year PhD student at Fudan University, advised by Professor Yuejie Zhang. I also work closely with Professor Weidi Xie. My research focuses on multimodal machine learning, video understanding, and medical image analysis. I hope that someday medical AI agents would heal the world, make it a better place, for the entire human race.
Google Scholar /
Twitter /
GitHub /
Zhihu
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Yifei Huang*, Guo Chen*, Jilan Xu*, Mingfang Zhang*, Baoqi Pei, Hongjie Zhang, Lu Dong, Yali Wang, Limin Wang, Yu Qiao, CVPR 2024 arXiv / project page / code A cross-view benchmark dataset that emulates the human demonstration following process, containing recorded egocentric videos guided by exocentric-view demonstration videos. |
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Jilan Xu, Yifei Huang, Junlin Hou, Guo Chen, Yuejie Zhang, Rui Feng, Weidi Xie CVPR 2024 arXiv / project page / code Given an egocentric video, Egoinstructor automatically retrieves relevant exocentric instructional videos for assisting egocentric video captioning. |
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Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, Weidi Xie CVPR 2023 arXiv / project page / code Training open-vocabulary semantic segmentation models with image-text pairs only, which enables zero-transfer to various segmentation datasets. |
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Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao CVPR 2022 arXiv A weakly-supervised object localization model that generates better CAMs via soft-clustering algorithms. |
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Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng ECCV 2022 AIMIA Workshop arXiv / code A Transformer-based model with contrastive representation enhancement. Winner of the 2nd COVID-19 Detection in ECCV 2022. |
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Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang, Limin Wang, Yu Qiao Tech report 2022 arXiv / code A fundation model for video / video-text understanding, achieving SOTA over 30 benchmark datasets. |
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Xiaotong Li, Jilan Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao IJCAI 2022, Oral paper Co-training a model for semi-supervised video polyp segmentation, achieving comparable results using only 15% labeled data. |
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Junlin Hou*, Jilan Xu*, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi ICCV 2021, AIMIA Workshop. paper / code A ResNest-50 model combined with contrastive mixup technique for 3D COVID-19 CT image classification. Winner of the 1st COVID-19 detection challenge. |
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Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Chunyang Ruan, Tao Zhang, Weiguo Fan BIBM 2020, Oral paper Introducing a self-supervised deformation representation learning technique for histopathology image analysis. |
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Reviewer : ECCV24, MICCAI24, CVPR24, CVPR23, ICCV23, NeurIPS22, IJCV, TMM, NeuroComputing TA : Data Structure, Theory of Computation |
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This guy is good at website design. |