Multi-Target Deep Learning for Algal Detection and Classification. - Peisheng Qian; Ziyuan Zhao; Haobing Liu 004; Yingcai Wang; Yu Peng; Sheng Hu; Jing Zhang; Yue Deng; Zeng Zeng (EMBC, 2020)

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. - Peisheng Qian; Ziyuan Zhao; Cong Chen; Zeng Zeng; Xiaoli Li 001 (EMBC, 2021)

DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection. - Ziyuan Zhao; Mingxi Xu; Peisheng Qian; Ramanpreet Singh Pahwa; Richard Chang 002 (BMVC, 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 (EMBC, 2022)

Residual Channel Attention Network for Brain Glioma Segmentation. - Yiming Yao; Peisheng Qian; Ziyuan Zhao; Zeng Zeng (EMBC, 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 (EMBC, 2022)

Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling. - Yaxin Zhu; Peisheng Qian; Ziyuan Zhao; Zeng Zeng (EMBC, 2022)

Iterative Contrastive Learning for Single Image Raindrop Removal. - Xulei Yang; Peisheng Qian; Li Wang 057; Shenghao Zhao; Cen Chen 001; Xiaoli Li 001; Zeng Zeng (ICIP, 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 (ICIP, 2022)

Adaptive Mean-Residue Loss for Robust Facial Age Estimation. - Ziyuan Zhao; Peisheng Qian; Yubo Hou; Zeng Zeng (ICME, 2022)

Contrastive R-CNN for Incremental Learning in Object Detection. - Peisheng Qian; Kai Zheng; Cen Chen 002; Zhongyao Cheng; Li Wang 057; Hui Li Tan (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. - Zeng Zeng; Wei Zhao 035; Peisheng Qian; Yingjie Zhou 001; Ziyuan Zhao; Cen Chen 002; Cuntai Guan (IEEE Trans. Cybern., 2022)

COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. - Zhongyao Cheng; Cen Chen 002; Ziyuan Zhao; Peisheng Qian; Xiaoli Li 001; Xulei Yang (ICIP, 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 001 (IJCAI, 2023)

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 (EMBC, 2024)

Graph Neural Networks for Protein-Protein Interactions - A Short Survey. - Mingda Xu; Peisheng Qian; Ziyuan Zhao; Zeng Zeng; Jianguo Chen 001; Weide Liu; Xulei Yang (CoRR, 2024)

AIC3DOD: Advancing Indoor Class-Incremental 3D Object Detection with Point Transformer Architecture and Room Layout Constraints. - Zhongyao Cheng; Fang Wu; Peisheng Qian; Ziyuan Zhao; Xulei Yang (WACV, 2025)

SDCoT++: Improved Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection. - Na Zhao 004; Peisheng Qian; Fang Wu; Xun Xu 002; Xulei Yang; Gim Hee Lee (IEEE Trans. Image Process., 2025)