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Peng Cao

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HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback

Mar 14, 2024
Ang Li, Qiugen Xiao, Peng Cao, Jian Tang, Yi Yuan, Zijie Zhao, Xiaoyuan Chen, Liang Zhang, Xiangyang Li, Kaitong Yang, Weidong Guo, Yukang Gan, Xu Yu, Daniell Wang, Ying Shan

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Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation

Dec 23, 2023
Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaiane

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Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement

Jan 17, 2023
Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane

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Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Jan 11, 2023
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane

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Edge Enhanced Image Style Transfer via Transformers

Jan 02, 2023
Chiyu Zhang, Jun Yang, Zaiyan Dai, Peng Cao

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Contactless Oxygen Monitoring with Gated Transformer

Dec 06, 2022
Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi

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Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction

Nov 30, 2022
Guanxiong Luo, Mengmeng Kuang, Peng Cao

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Supervised Contrastive Regression

Oct 03, 2022
Kaiwen Zha, Peng Cao, Yuzhe Yang, Dina Katabi

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Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Nov 27, 2021
Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogerio Feris, Piotr Indyk, Dina Katabi

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UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

Sep 09, 2021
Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaiane

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