师资队伍

计算机系

张喜亮

发布日期:2026-01-08

点击量:

一、个人简介

张喜亮,男,汉族,1997.9出生,讲师,硕导

归属学科专业:计算机科学与技术

二、主要学习与工作经历

2025.6---至今,上海应用技术大学 智能技术学部计算机系,讲师

2020.9---2025.6,上海海事大学 信息工程学院,信息管理与信息系统,博士

2016.9---2020.6,青岛科技大学 信息科学技术学院,物联网工程,本科

三、主要科研工作与成绩

3.1 科研项目

1、上海海事大学研究生拔尖创新人才培养项目,海运船舶自主避碰关键技术研究,2023YBR018,2023-2025,已结题,主持

2、国家社科基金重大项目课题五,中国海洋人才生态圈动态数据库建设研究,20&ZD130,2020-2023,已结题,参与

3、国家重点研发计划项目子课题,船载综合应用平台数据处理模型及信息安全技术研究,2021YFC2801001,2022-2025,已结题,参与

3.2 科研成果

[1] X. Zhang, J. Liu, C. Chen, P. Gong, Z. Wu and B. Han, Modeling Temporal Continuity of Spatial Interactions for Vessel Trajectories Prediction in Maritime Intelligent Transportation Systems, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 158, 111378, 2025

[2] X. Zhang, J. Liu, C. Chen, L. Wei, Z. Wu and W. Dai, Goal-driven Long-term Marine Vessel Trajectory Prediction with a Memory-enhanced Network, EXPERT SYSTEMS WITH APPLICATIONS, 263, 125715, 2024

[3] X. Zhang, J. Liu, K. Chen, P. Gong, Y. Liu and Z. Wu, Learning Dynamic Interactions and Long-term Patterns with Spatio-Temporal Graphs for Multi-Vessel Trajectory Prediction, IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, vol. 9, no. 12, 2024

[4] X. Zhang, J. Liu, P. Gong, C. Cheng, B. Han and Z. Wu, Trajectory prediction of seagoing ships in dynamic traffic scenes via a gated spatio-temporal graph aggregation network, OCEAN ENGINEERING, 287, 115886, 2023

[5] X. Zhang, J. Liu, S. Chang, P. Gong, Z. Wu, and B. Han, MIRN: A multi-interest retrieval network with sequence-to-interest EM routing, PLOS ONE, 18(2), 2023

[6] X. Zhang, J. Liu, P. Gong, Z. Wu, B. Han and J. Wang, Vessel trajectory prediction with a Gated Spatio-Temporal Graph Aggregation Network, International Conference on Transportation Information and Safety (ICTIS), 2023

[7] X. Zhang, J. Liu, Y. Li, Z. Wu, and Y.K. Wang, Triple Multimodal Cyclic Fusion and Self-Adaptive Balancing for Video Q&A Systems, CMC-COMPUTERS MATERIALS & CONTINUA, 027097, 2022

[8] C. Chen, X. Zhang, Y. Zhou, Y. Chang and W. Zeng, HGM: A General High-Order Spatial and Spectral Global Feature Fusion Module for Visual Multi-Tasking, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024

[9] 一种基于SWPEM路由算法的职位推荐方法,申请号CN202110770959,申请日2021.7.8,公开日2024.2.2

四、主要社会学术团体兼职

CCF专业会员

五、主要研究方向

智能信息处理、时空分析、路径预测与规划、人工智能

六、联系方式

办公室:七科A317

Email地址:xlzhang@sit.edu.cn