Cao, Peng

9 publications

IJCAI 2023 Co-Training with High-Confidence Pseudo Labels for Semi-Supervised Medical Image Segmentation Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

MLHC 2023 Contactless Oxygen Monitoring with Radio Waves and Gated Transformer Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi

NeurIPS 2023 Rank-N-Contrast: Learning Continuous Representations for Regression Kaiwen Zha, Peng Cao, Jeany Son, Yuzhe Yang, Dina Katabi

NeurIPSW 2022 Contactless Oxygen Monitoring with Gated Transformer Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi

CVPR 2022 Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogerio S. Feris, Piotr Indyk, Dina Katabi

AAAI 2022 UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane

ECCV 2020 TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang

NeurIPS 2019 L_DMI: A Novel Information-Theoretic Loss Function for Training Deep Nets Robust to Label Noise Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang

ICLR 2019 Max-MIG: An Information Theoretic Approach for Joint Learning from Crowds Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang