
一、个人简历
夏晨星,男,博士(后),副教授,硕士研究生导师,CCF、CAAI、CCS等学会会员,国家自然科学基金评审专家,安徽省/广东省/河北省科技项目入库专家,安徽省计算机学会理事,先后入选安徽理工大学“青苗”、“青托”人才托举工程。主要研究显著性目标检测、深度预测、图像场景理解、3D点云等计算机视觉前沿课题,目前主持国家自然科学基金1项,省部级科研项目3项,省级海外访学类项目2项,其他市级、校级纵向科研项目3项。近几年,发表高质量国际会议和权威期刊上发表高水平学术论文50篇,其中SCI论文38篇;授权国家发明专利11项,获安徽省优秀硕士论文指导教师1次、安徽省计算机学会优秀硕士论文指导教师1次;获批六卓越一拔尖等省部级教研项目3项,参编教材2部。
1. 教育经历
2014-2019,湖南大学,计算机科学与技术专业,博士
2010-2014,武汉纺织大学,电气工程及其自动化专业,学士
2. 科研与学术工作经历
2024.9-至今,澳门大学,科技学院,访学
2021-12 至 今, 安徽理工大学, 计算机科学与工程学院, 副教授
2021-02至今, 在站, 安徽理工大学
2019-12 至 2021-12, 安徽理工大学, 计算机科学与工程学院, 讲师
2019-09 至 2019-12, 安徽理工大学, 计算机科学与工程学院, 助教
3.主要研究方向
显著性目标检测、深度预测、图像场景理解、3D点云、多媒体安全
二、主持科研课题
1.国家自然科学基金(青年项目):基于深度预测和链式图神经网络的显著性检测方法研究,62102003;
2.安徽省自然科学基金(青年项目): 复杂场景下基于伪深度信息的显著性目标检测方法研究,2108085QF258;
3.安徽省高等学校自然科学研究项目(重点项目):基于多视角场景分析的显著性目标检测方法研究,KJ2020A0299;
4.安徽省博士后基金: 面向轻量级的通用密集预测任务研究,2022B623;
5.安徽省青年骨干教师境外访学研修资助项目,JWFX2023016;
6.安徽省新时代育人质量工程项目(研究生教育)海外研修,2024dshwyx019;
7.淮南市科技计划项目:基于深度预测与和多源信息交互的电力系统安全状态监测研究,2023A316;
8.安徽理工大学医学专项培育项目(重点项目):基于弱监督和多模态学习的肺部病灶检测研究,YZ2023H2B003;
9.安徽理工大学青年科学研究基金项目(重点项目):基于自底向上的显著性目标检测算法研究,QN2019102;
10.安徽理工大学博士、硕士基金项目:基于图模型和传播机制的显著性检测方法研究,在研,主持;
三、近3年部分学术成果(时间倒叙排列)
[1]Chenxing Xia; Chaofan Liu; Yicong Zhou; Kuan-Ching Li. VLDFNet: Views-Graph and Latent Feature Disentangled Fusion Network for Multimodal Industrial Anomaly Detection[J]. IEEE Transactions on Instrumentation & Measurement, 2025. (SCI 2区TOP)
[2] Chenxing Xia; Yanguang Sun; Kuan-Ching Li; Bin Ge, Hanling Zhang, Bo Jiang, Ji Zhang. RCNet: Related Context-Driven Network with Hierarchical Attention for Salient Object Detection[J]. Expert Systems with Applications, 2024, 237: 121441. (SCI 1区 TOP,IF: 8.5)
[3] Chenxing Xia; Xinyu Chen; Yanguang Sun; Bin Ge; Xianjin Fang; Xiuju Gao; Kuan-Ching Li; Hanling Zhang; Yan Zhang. CEMINet: Context exploration and multi-level interaction network for salient object detection[J]. Digital Signal Processing, 2024, 147: 104403. (SCI 三区,IF: 2.9)
[4] Chenxing Xia; Xinyu Chen; Yanguang Sun; Bin Ge; Xianjin Fang; Xiuju Gao; Yan Zhang. Integrating Multiple Context and Hybrid Interaction for Salient Object Detection[J]. 电子与信息学报, 2024, 46: 1-14. (EI,A类论文)
[5]Chenxing Xia; Xubing Li; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Yan Zhang; Ke Yang. PCDR-DFF: multi-modal 3D object detection based on point cloud diversity representation and dual feature fusion[J]. Neural Computing and Applications, 2024: 1-18. (SCI 三区,IF: 6.0)
[6]Chenxing Xia; Wenjun Zhao; Huidan Han; Zhanpeng Tao; Bin Ge; Xiuju Gao; Kuan-Ching Li; Yan Zhang. MonoSAID: Monocular 3D Object Detection based on Scene-Level Adaptive Instance Depth Estimation[J]. Journal of Intelligent & Robotic Systems, 2024, 110(1): 2. (SCI 三区,IF: 3.3)
[7]Chenxing Xia; Xiuzhen Duan; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Yan Zhang; Ke Yang. PCTDepth: Exploiting Parallel CNNs and Transformer via Dual Attention for Monocular Depth Estimation[J]. Neural Processing Letters, 2024, 56(2): 73. (SCI 三区,IF: 3.1)
[8]Chenxing Xia; Difeng Chen; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Yan Zhang; Ke Yang. MFCINet: multi-level feature and context information fusion network for RGB-D salient object detection[J]. The Journal of Supercomputing, 2024, 80(2): 2487-2513. (SCI 三区,IF: 3.3)
[9]Chenxing Xia; Huizhen Cao; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Yan Zhang; Xingzhu Liang. Boundary enhancement and refinement network for camouflaged object detection[J]. Machine Vision and Applications, 2024, 35(5): 107. (SCI 四区,IF: 2.4)
[10]Chenxing Xia; Mengge Zhang; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Xingzhu Liang; Yan Zhang. RCFNet: Related cross-level feature network with cascaded self-distillation for monocular depth estimation[J]. Digital Signal Processing, 2024, 154: 104681.(SCI 三区,IF: 2.9)
[11]Chenxing Xia; Mengge Zhang; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Yan Zhang; Xingzhu Liang. EDFIDepth: enriched multi-path vision transformer feature interaction networks for monocular depth estimation[J]. The Journal of Supercomputing, 2024: 1-25.(SCI 三区,IF: 3.3)
[12]Chenxing Xia; Feng Yang; Songsong Duan; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Yan Zhang; Yang Ke. ECW-EGNet: Exploring Cross-ModalWeighting and edge-guided decoder network for RGB-D salient object detection[J]. Computer Science and Information Systems, 2024 (00): 22-22.(SCI 四区,IF: 1.2)
[13]Chenxing Xia; Zhanpeng Tao; Wei Wang; Wenjun Zhao; Bin Ge; Xiuju Gao; Kuan-Ching Li; Yan Zhang. CTA-Net: A gaze estimation network based on dual feature aggregation and attention cross fusion[J]. Computer Science and Information Systems, 2024 (00): 20-20.(SCI 四区,IF: 1.2)
[14]Chenxing Xia; Yanguang Sun*;Xianjin Fang; Bin Ge; Xiuju Gao; Kuan-Ching Li. Imsfnet: integrated multi-source feature network for salient object detection[J]. Applied Intelligence, 2023, 53(19): 22228-22248.(SCI 二区,IF: 5.3)
[15]Chenxing Xia; Songsong Duan*; Bin Ge; Hanling Zhang; Kuan-Ching Li. HDNet: Multi-Modality Hierarchy-Aware Decision Network for RGB-D Salient Object Detection [J]. IEEE Signal Processing Letters, 2022, 29: 2577-2581. (SCI 二区,IF: 3.9)
[25]Chenxing Xia; Songsong Duan*; Xianjin Fang; Xiuju Gao; Bin Ge; Hanling Zhang; Kuan-Ching Li. EFGNet: Encoder steered multi-modality feature guidance network for RGB-D salient object detection[J]. Digital Signal Processing, 2022, 131: 103775. (SCI 三区,IF: 2.9)
[26]Chenxing Xia; Songsong Duan*; Xiuju Gao; Rongmei Huang; Yanguang Sun; Bin Ge. GCENet: Global Contextual Exploration Network for RGB-D Salient Object Detection [J]. Journal of Visual Communication and Image Representation, 2022. (SCI 三区,IF: 2.6)
[27]Chenxing Xia; Yanguang Sun*; Xiuju Gao; Bin Ge; Songsong Duan. DMINet: Dense Multi-scale Inference Network for Salient Object Detection [J]. The Visual Computer, 2022: 1-14 (SCI 三区)
[16]Songsong Duan; Chenxing Xia*; Xianjin Fang; Xiuju Gao; Bin Ge; Kuan-Ching Li. PSINet: Progressive Saliency Iteration Network for RGB-D Salient Object Detection [C]. ACM International Conference on Multimedia(ACM MM) Workshop , 2022 (CCF A类会议 Workshop)
[21]Chenxing Xia, Duan Songsong, Xianjin Fang, Bin Ge, Xiuju Gao and Jianhua Cui. DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection [C]. Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2022. (CCF C类会议)
[22]Chenxing Xia; Yanguang Sun; Xianjin Fang; Bin Ge; Xiuju Gao; Jianhua Cui. CMNet: Cross-aggregation Multi-branch Network for Salient Object Detection [C]. Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2022(CCF C类会议)
[19]Yanguang Sun; Chenxing Xia*; Xiuju Gao; Bin Ge; Hanling Zhang; Kuan-Ching Li. EMCENET: Efficient Multi-Scale Context Exploration Network for Salient Object Detection. [C]. IEEE International Conference on Image Processing(ICIP), 2022. (CCF C类会议)
[20]Songsong Duan; Chenxing Xia*; Xiuju Gao; Bin Ge; Hanling Zhang; Kuan-Ching Li. Multi-Modality Diversity Fusion Network with SwinTransformer for RGB-D Salient Object Detection [C]. IEEE International Conference on Image Processing(ICIP), 2022. (CCF C类会议)
四、授权发明专利
[1]夏晨星,孙延光,高修菊,等.基于高效多尺度上下文探索网络的显著性目标检测算法[P].安徽省: CN202210279696.0,2025-01-03.
[2]夏晨星,孙延光,高修菊,等.基于密集多尺度推理网络的显著性目标检测算法[P].安徽省:CN202210279654.7,2024-06-21.
[3]夏晨星,孙延光,高修菊,等.基于渐进收缩和循环交互网络的显著性目标检测算法[P].安徽:CN202210413768.6,2024-08-09.
[4]夏晨星,孙延光,段松松,等.集成多源特征网络的显著性目标检测算法[P].安徽省:CN202111461687.5,2024-08-09.
[5]夏晨星,段松松,黄荣梅,等.一种基于自适应跨模态融合机制和深度注意力网络的RGB-D显著性目标检测方法[P].安徽省: CN202111565872.9,2024-08-06.
[6]夏晨星,李续兵,高修菊,等.一种基于时间域信息传递的视频目标检测方法[P].安徽省: CN202210443675.8,2024-11-15.
[7]段松松,夏晨星,黄荣梅,等.一种基于跨模态双向互补网络的RGB-D显著性目标检测方法[P].安徽省: CN202210308537.9,2024-08-09.
[8]段松松,夏晨星,黄荣梅,等.一种基于交互式引导注意力和梯形金字塔融合的RGB-D显著性目标检测方法[P].安徽省: CN202111565805.7,2024-08-16.
[9]孙延光,夏晨星,段松松,等.一种基于特征重构的显著性目标检测方法[P].安徽省: CN202111463853.5,2024-08-09.
[10]孙延光,夏晨星,段秀真,等.聚合密集和注意力多尺度特征的显著性目标检测算法[P].安徽省: CN202111654905.7,2024-07-12.
[11]段秀真,夏晨星,段松松,等.一种基于密集特征提取与轻量级网络的多类商品目标检测方法[P].安徽省: CN202210544450.1,2024-06-25.
五、获奖情况
1.安徽省优秀硕士学位论文指导教师奖(2024)
2.安徽省计算机学会优秀硕士学位论文指导教师奖(2023)
3.安徽理工大学优秀硕士学位论文指导教师奖(2023)
4.安徽理工大学青年教师教学基本功竞赛一等奖(2023)
5.安徽理工大学优秀教师(2023)
6.安徽理工大学优秀教学质量奖(2021、2022、2023)
六、招生要求
硕士招生条件:性格开朗、听话、坐得住;继续攻读博士更好。
七、联系方式
信箱*:cxxia@aust.edu.cn