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职业迁徙
个人简介
My research interests range across computer vision, machine learning, robotics, and data mining. I have published top-tier journal and conference papers in these four fields, which include topics of deep learning, graph theory, unsupervised learning, object detection, 3D reconstruction, 3D point cloud processing, knowledge mining, and etc.
Now, I am leading a group for explainable AI. The related topics include explainable CNNs, explainable generative networks, unsupervised semanticization of pre-trained neural networks, and unsupervised/weakly-supervised learning of neural networks. I aim to end-to-end learn interpretable models and/or unsupervisedly transform the black-box knowledge representation of pre-trained neural networks into a hierarchical and semantically interpretable model. Meanwhile, I also expect strong interpretability can ensure high transferability of features and help unsupervised/weakly-supervised learning from small data.
Now, I am leading a group for explainable AI. The related topics include explainable CNNs, explainable generative networks, unsupervised semanticization of pre-trained neural networks, and unsupervised/weakly-supervised learning of neural networks. I aim to end-to-end learn interpretable models and/or unsupervisedly transform the black-box knowledge representation of pre-trained neural networks into a hierarchical and semantically interpretable model. Meanwhile, I also expect strong interpretability can ensure high transferability of features and help unsupervised/weakly-supervised learning from small data.
研究兴趣
论文共 139 篇作者统计合作学者相似作者
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ICLR 2024 (2024)
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Proceedings of the AAAI Conference on Artificial Intelligenceno. 15 (2024): 17105-17113
IEEE transactions on pattern analysis and machine intelligenceno. 99 (2024): 1-17
ICLR 2024 (2024)
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IEEE transactions on pattern analysis and machine intelligenceno. 99 (2024): 1-17
IEEE Transactions on Mobile Computingno. 99 (2023): 1-14
ICML 2023pp.28889-28913, (2023)
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Chinese Conference on Pattern Recognition and Computer Visionpp.69-83, (2023)
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