武汉大学主页平台管理系统彭德华--中文主页--论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

彭德华

个人信息Personal information

教师拼音名称：Peng De Hua
电子邮箱：
所在单位：遥感信息工程学院
办公地点：信息学部教学实验大楼602
性别：男
联系方式：pengdh@whu.edu.cn
在职信息：在职
毕业院校：武汉大学
所属院系：遥感信息工程学院

联系方式Contact information

邮编:

通讯/办公地址:

移动电话:

邮箱:

论文成果

[1]. Peng D, Gui Z*, Gui J, Wu H. 2025. A robust and efficient boundary point detection method by measuring local direction dispersion. IEEE Transactions on Circuits and Systems for Video Technology. (中科院一区TOP期刊).

[2]. Zhang X, Gui Z*, Liu Y, Peng D, Lan Q, Shen Z, Chen H, Zuo Y, Yao Y, Wu H, Li K, Qin K. 2025. Individual mobility prediction by considering current traveling features and historical activity chain. Geo-spatial Information Science, 1-28. (中科院一区期刊).

[3]. Wei W, Gui Z*, Wu C, Zhao A, Peng D, Wu H. 2025. Dynamic visual semantic sub-embeddings and fast re-ranking for image-text retrieval. IEEE Transactions on Multimedia, 1-16. (中科院一区TOP期刊).

[4]. Liu Y, Gui Z*, Xu Y, Gao S, Zhao A, Meng F, Peng D, Li F, Bo L, Wu H, Gong J. 2024. Profiling mobility patterns and driving behaviors of individual drivers via trajectory trait. The Innovation Geoscience, 3(1), 100114..

[5]. Wang Y, Chen G*, Yang J, Gui Z, Peng D. 2024. A submesoscale eddy identification dataset in the northwest Pacific Ocean derived from GOCI I chlorophyll a data based on deep learning. Earth System Science Data, 16(12), 5737-5752. (中科院一区TOP期刊).

[6]. Peng D, Gui Z*, Wei W, Wu H. 2024. Scalable manifold learning by uniform landmark sampling and constrained locally linear embedding. Preprint at https://arxiv.org/abs/2401.01100.

[7]. Peng D, Gui Z*, Wu H. 2024. Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect. Preprint at https://arxiv.org/abs/ 2401.00422.

[8]. Peng D, Gui Z*, Wu H. 2023. MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion. Preprint at https://arxiv.org/abs/2312.04067.

[9]. Peng D, Gui Z*, Wang D, Ma Y, Huang Z, Zhou Y, Wu H. 2022. Clustering by measuring local direction centrality for data with heterogeneous density and weak connectivity. Nature Communications, 13: 5455. (中科院SCI一区TOP期刊).

[10]. Mei Y, Gui Z*, Wu J, Peng D, Wei Z, Wu H. 2022. Population Spatialization with Pixel-level Attribute Grading by Considering Scale Mismatch Issue in Regression Modeling. Geo-spatial Information Science, 25(3): 365-382. (中科院SCI一区期刊).

[11]. Gui Z*, Sun Y, Yang L, Peng D, Li F, Wu H, Guo C, Guo W, Gong J. 2021. LSI-LSTM: An Attention-aware LSTM for Real-time Driving Destination Prediction by Considering Location Semantics and Location Importance of Trajectory Points. Neurocomputing, 440: 72-88. (中科院SCI二区TOP期刊).

[12]. Gui Z, Wang Y, Cui Z, Peng D, Wu J, Ma Z, Luo S, Wu H. 2021. Developing Apache Spark based Ripley’s K Functions for Accelerating Spatiotemporal Point Pattern Analysis. in Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 545-552..

[13]. Gui Z*, Peng D*, Wu H*, Long X. 2020. MSGC: Multi-Scale Grid Clustering via Analytical Granularity and Visual Cognition for Detecting Hierarchical Spatial Patterns. Future Generation Computer Systems, 112: 1038-1056. (中科院SCI二区TOP期刊).

[14]. Wang Y, Gui Z*, Wu H, Peng D, Wu J, Cui Z. 2020. Optimizing and Accelerating Space-Time Ripley’s K Function based on Apache Spark for Distributed Spatiotemporal Point Pattern Analysis. Future Generation Computer Systems, 105: 96-118. (中科院SCI二区TOP期刊).

[15]. Li F, Gui Z*, Zhang Z, Peng D, Tian S, Yuan K, Sun Y, Wu H, Gong J, Lei Y. 2020. A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction. Neurocomputing, 403: 153-166. (中科院SCI二区TOP期刊).

[16]. 隆玺, 桂志鹏*, 彭德华, 吴华意, 宋爱红. 2022. 基于低通保边滤波和尺度约束大津法的网格空间多尺度聚类方法. 地理与地理信息科学, 36(01): 65-74.

[17]. 吴京航, 桂志鹏*, 申力, 吴华意, 刘洪波, 李锐, 梅宇翱, 彭德华. 2022. 顾及格网属性分级与空间关联的人口空间化方法. 武汉大学学报(信息科学版), 47(09): 1364-1375.

首页上页下页尾页