Ye Zhu
Department of Computer Science |
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I am a second-year PhD student in the Department of Computer Science, Hong Kong Baptist University, commencing my doctoral studies under the supervision of Prof. Pong C. Yuen in 2023. Prior to this, I gained valuable research experience through two RA positions. The first, under the guidance of Prof. Ruimao Zhang in The Chinese University of Hong Kong, Shenzhen [10/2021-06/2023], and the second, working alongside Prof. Chang-Dong Wang in Sun Yat-sen University [03/2021-09/2021]. In 2021, I received the B. Eng degree from College of Mathematics and Information, South China Agriculture University.
My research interest lies in deep learning and computer vision, including scene understanding, semi-supervised learning and multimodal learning in medical.
Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning Ye Zhu, Jingwen Xu, Fei Lyu, Pong C. Yuen*. Medical Image Computing and Computer Assisted Interventions (MICCAI), 2024. |
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Temporal Neighboring Multi-modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction Jingwen Xu, Ye Zhu, Fei Lyu, Grace Lai-Hung Wong, Pong C. Yuen*. Medical Image Computing and Computer Assisted Interventions (MICCAI), 2024. |
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Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation Ye Zhu, Jie Yang, Siqi Liu, Ruimao Zhang*. Proc. of Conference on Medical Imaging with Deep Learning (MIDL), 2023. |
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Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency Jie Yang, Ye Zhu, Chaoqun Wang, Zhen Li, Ruimao Zhang*. Proc. of Conference on Medical Imaging with Deep Learning (MIDL), 2023. [paper] |
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AMOS_A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation Yuanfeng Ji, Haotian Bai, Jie Yang, Chongjian Ge, Ye Zhu, Xiang Wan*, Ping Luo* and Ruimao Zhang*. Proc. of Conference on Neural Information Processing Systems (NeurIPS), 2022. |
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Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal
Representation Consistency Weijie Ma, Ye Zhu, Jie Yang, Yiwen Hu, Zhen Li, Li Xiang and Ruimao Zhang*. Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. |
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Hybrid-Order Anomaly Detection on Attributed Networks Ling Huang, Ye Zhu, Yuefang Gao, Tuo Liu, Chao Chang, Caixing Liu, Yong Tang and Chang-Dong Wang*. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. [paper](early accept) |
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