Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction. - Panle Li; Xiaohui He 001; Mengjia Qiao; Disheng Miao; Xijie Cheng; Dingjun Song; Mingyang Chen; Jiamian Li; Tao Zhou; Xiaoyu Guo; Xinyu Yan; Zhihui Tian (Int. J. Appl. Earth Obs. Geoinformation, 2021)

LR-RoadNet: A long-range context-aware neural network for road extraction via high-resolution remote sensing images. - Panle Li; Zhihui Tian; Xiaohui He 001; Mengjia Qiao; Xijie Cheng; Dingjun Song; Mingyang Chen; Jiamian Li; Tao Zhou; Xiaoyu Guo; Zhiqiang Li; Daidong Li; et al. (IET Image Process., 2021)

Corrigendum to "Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction" [Int. J. Appl. Earth Observ. Geoinf. 104 (2021) 102544]. - Panle Li; Xiaohui He 001; Mengjia Qiao; Disheng Miao; Xijie Cheng; Dingjun Song; Mingyang Chen; Jiamian Li; Tao Zhou; Xiaoyu Guo; Xinyu Yan; Zhihui Tian (Int. J. Appl. Earth Obs. Geoinformation, 2022)

An improved categorical cross entropy for remote sensing image classification based on noisy labels. - Panle Li; Xiaohui He 001; Xijie Cheng; Mengjia Qiao; Dingjun Song; Mingyang Chen; Tao Zhou; Jiamian Li; Xiaoyu Guo; Shaokai Hu; Zhihui Tian (Expert Syst. Appl., 2022)

Exploring Label Probability Sequence to Robustly Learn Deep Convolutional Neural Networks for Road Extraction With Noisy Datasets. - Panle Li; Xiaohui He 001; Mengjia Qiao; Xijie Cheng; Jiamian Li; Xiaoyu Guo; Tao Zhou; Dingjun Song; Mingyang Chen; Disheng Miao; Yinjie Jiang; Zhihui Tian (IEEE Trans. Geosci. Remote. Sens., 2022)

CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models. - Peiyuan Gong; Jiamian Li; Jiaxin Mao (SIGIR, 2024)

Improve Value Estimation of Q Function and Reshape Reward with Monte Carlo Tree Search. - Jiamian Li (CoRR, 2024)

A novel STAP algorithm via volume cross-correlation function on the Grassmann manifold. - Jiamian Li; Jian-Yi Chen; Bing-Zhao Li 001 (Digit. Signal Process., 2025)