Peisheng Qian

According to our database, Peisheng Qian authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Neural Networks for Protein-Protein Interactions - A Short Survey.

Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang

CoRR, 2024

Hybrid Model Design For Protein Function Prediction.

Shenghao Zhao, Xiaoyu Zhang, Ziyuan Zhao, Peisheng Qian, Weide Liu, Zeng Zeng, Bharadwaj Veeravalli, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Tam Wai Leong, Xulei Yang

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction.

Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection.

Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning.

Zeng Zeng, Wei Zhao, Peisheng Qian, Yingjie Zhou, Ziyuan Zhao, Cen Chen, Cuntai Guan

IEEE Trans. Cybern., 2022

Contrastive R-CNN for Incremental Learning in Object Detection.

Peisheng Qian, Kai Zheng, Cen Chen, Zhongyao Cheng, Li Wang, Hui Li Tan

Proceedings of the IEEE Smartworld, 2022

Adaptive Mean-Residue Loss for Robust Facial Age Estimation.

Ziyuan Zhao, Peisheng Qian, Yubo Hou, Zeng Zeng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation.

Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Iterative Contrastive Learning for Single Image Raindrop Removal.

Xulei Yang, Peisheng Qian, Li Wang, Shenghao Zhao, Cen Chen, Xiaoli Li, Zeng Zeng

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling.

Yaxin Zhu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines.

Zeng Zeng, Shenghao Zhao, Qing Da, Peisheng Qian, Tam Wai Leong, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Ziyuan Zhao, Xulei Yang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Residual Channel Attention Network for Brain Glioma Segmentation.

Yiming Yao, Peisheng Qian, Ziyuan Zhao, Zeng Zeng

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction.

Xulei Yang, Qing Da, Peisheng Qian, Bharadwaj Veeravalli, Tam Wai Leong, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Ziyuan Zhao, Zeng Zeng

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection.

Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading.

Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Multi-Target Deep Learning for Algal Detection and Classification.

Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020