个人简介
韩跃辉，2024年11月获得南京理工大学计算机科学与技术专业博士学位。目前主要研究方向为自监督学习，涉及图、点云、点云序列等。
学术成果
[1] Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, and Jin Xie. Generative Subgraph Contrast for Self-Supervised Graph Representation Learning. ECCV 2022. (CCF-B, CAAI-A)[2] Yuehui Han, Jiaxin Chen, Jianjun Qian, and Jin Xie. Graph Spectral Perturbation for 3D Point Cloud Contrastive Learning. ACM MM 2023. (CCF-A, CAAI-A)[3] Yuehui Han. Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning. ACM Transactions on Knowledge Discovery from Data 2024. (CCF-B, CAAI-B)[4] Yuehui Han, Can Xu, Rui Xu, Jianjun Qian, and Jin Xie. Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning. ECCV 2024. (CCF-B, CAAI-A)[5] Can Xu, Yuehui Han, Rui Xu, Le Hui, Jin Xie, and Jian Yang. Multi-Attribute Interactions Matter for 3D Visual Grounding. CVPR 2024. (CCF-A, CAAI-A)[6] Can Xu, Le Hui, Yuehui Han, Haobo Jiang, Jiaxin Chen, Jin Xie, and Jian Yang. Learning Local Semantic Region Activations for Weakly Supervised Object Localization. IEEE Transactions on Circuits and Systems for Video Technology 2024. (CCF-B, CAAI-B)[7] Rui Xu, Le Hui, Yuehui Han, Jiaxin Chen, Jin Xie. Scene Graph Masked Variational Autoencoders for 3D Scene Generation. ACM MM 2023. (CCF-A, CAAI-A)
[8] Rui Xu, Le Hui, Yuehui Han, Jiaxin Chen, Jin Xie. Transformer-based Point Cloud Generation Network. ACM MM 2023. (CCF-A, CAAI-A)
工作经历
[1]
2024.12-
至今
南京信息工程大学
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软件学院
研究方向
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其他联系方式
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