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Yi Zhou

Southeast University

Banani, Dhaka, Bangladesh

Dhaka

Bangladesh

  • Southeast University

SCHOLARLY PAPERS

4

DOWNLOADS

418

TOTAL CITATIONS

1

Scholarly Papers (4)

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1.

WeakPolyp-SAM: Segment Anything Model-Driven Weakly-Supervised Polyp Segmentation

Number of pages: 25 Posted: 18 Dec 2024
Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu and Huafu Zhu
Nanjing University of Science and Technology, Nanjing University of Science and Technology, Nanjing University of Information Science and Technology, Southeast University, Nanjing University of Information Science and Technology, Nanjing University of Science and Technology and Agency for Science, Technology and Research (A*STAR) - Institute of High Performance Computing
Downloads 259 (304,988)

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Polyp segmentation, Segment Anything Model, Cross-level fusion, Local-and-global context decoder

2.

Dual-Scale Enhanced and Cross-Generative Consistency Learning for Semi-Supervised Medical Image Segmentation

Number of pages: 27 Posted: 07 Jun 2024
Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong and Huafu Zhu
Nanjing University of Information Science and Technology, Nanjing University of Science and Technology, Nanjing University of Information Science and Technology, Southeast University, Nanjing University, Nanjing University of Science and Technology and Agency for Science, Technology and Research (A*STAR) - Institute of High Performance Computing
Downloads 101 (689,572)
Citation 1

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Medical image segmentation, semi-supervised learning, scale-enhanced consistency, cross-generative consistency.

3.

Boosting Open-Set Domain Adaptation with Threshold Self-Tuning and Cross-Domain Mixup

Number of pages: 36 Posted: 03 Feb 2023
Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin and Shengcai Liao
Southeast University, Southeast University, Nanjing University of Science and Technology, Nanjing University of Aeronautics and Astronautics and affiliation not provided to SSRN
Downloads 51 (1,052,702)

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Transfer learning, unsupervised domain adaptation, Open-Set Domain Adaptation

4.

Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness

Number of pages: 34 Posted: 22 Apr 2026
Yi Zhou, Jinsong Shi, Sheng Luo and Tao Zhou
Southeast University, affiliation not provided to SSRN, affiliation not provided to SSRN and Nanjing University of Science and Technology
Downloads 7 (1,566,597)

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Universal incremental learning, Multi-objective learning, Distribution randomness, class imbalance