2011.3-2017.2,计算机学院，讲师

2017.3 至今，计算机学院，副教授

2024.9 至今，江苏省第十七批科技镇长团（挂职）

部委科技进步二等奖（第2完成人）

部委科技进步三等奖（第4完成人）

宁夏回族自治区科技进步三等奖（第3完成人）

南京理工大学科技成果特等奖（第2完成人）

南京理工大学优秀教师

教育部-华为智能基座“栋梁之师”

计算机科学与工程学院优秀教育教学教师奖-青橙奖

教育部-华为智能基座产教融合协同育人基地优秀课件

南京理工大学-华为智能基座产教融合协同育人优秀教师

中国人工智能学会智能机器人专委会委员，江苏省人工智能学会机器人专委会委员，江苏省计算机学会青少年人工智能专委会委员。

IJCV，IEEE T-ITS/T-CSVT/RA-L，CVPR，ICCV，ICRA，IROS，计算机学报，自动化学报等学术期刊和会议审稿人。

主要研究方向为基于主被动视觉的智能机器人环境理解技术、计算机视觉。主持国家自然基金、江苏省自然科学基金，教育部博士点基金等多项科研项目。参与省部级智能机器人领域项目多项；参与国家自然科学基金项目重大研究计划重点项目，面上项目等基金项目的研究工作。近年来承担科研项目如下：

一、主持项目

1、废渣外运机器人定位导航技术开发，企业横向

2、天空地一体化酿酒葡萄长势及病虫害智能诊断技术研究，宁夏农林科学院

3、10kg级无人车加改装、集成与试验试用，研究所横向

4、特种履带机器人研制，企业横向

5、三维场景中未知对象主动发现与选择性关注方法研究，国家自然科学基金委员会

6、基于三维彩色点云的复杂自然场景特征抽取技术研究，江苏省科技厅

7、基于超体素的彩色点云3D显著性层次化分析方法研究，校级自主科研

8、彩色点云数据的3D显著性分析方法研究，教育部重点实验室课题

9、应用于机器人导航的三维彩色点云特征抽取技术研究，博士点基金

10、视觉显著性引导的RGB-D视频目标主动提取方法研究，江苏省重点实验室课题

二、作为主要参研人员参与项目

1、基于多源视觉信息和眼动模拟的机器人主动视觉方法研究，国家自然科学基金委员会

2、基于辅助信息学习的无标签行人再识别方法研究，国家自然科学基金委员会

3、动态环境下的行为规划技术，部委基金

4、基于多模型嵌入技术的复杂环境感知研究，国家自然科学基金委员会

5、乡村道路环境下无人驾驶车辆的关键技术与集成验证平台研究，国家自然科学基金委员会

期刊论文：

[1] Di Hu, Xia Yuan(*), Chunxia Zhao. Active Layered Topology Mapping Driven by Road Intersection. Knowledge-Based Systems, 2025.

[2] Kai Zhang, Xia Yuan(*), Jiachen Xu, Kaiyang Wang, Shiwei Wu, Chunxia Zhao. A Travelable Area Boundary Dataset for Visual Navigation of Field Robots. Scientific Data, 2025, 12:164.

[3] Di Hu, Xia Yuan(*), Huiying Xi, Jie Li, Zhenbo Song, Fengchao Xiong, Kai Zhang, and Chunxia Zhao. Road Structure Inspired UGV-Satellite Cross-View Geo-Localization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024, 17:16767-16786.

[4] Xia Yuan, Xinyi Wu, Yanchao Cui, Chunxia Zhao. RGB-D Road Segmentation Based on Cross-Modality Feature Maintenance and Encouragement. IET Intelligent Transport Systems. 2024, 18:1355-1368.

[5] Dong Yang, Xia Yuan(*), Kang Zhang, Shiwei Wu, Chunxia Zhao.  A One-dimensional Continuous Function with Unbounded Variation. Fractals, 2024, 32(2):2440007.

[6] Haoyan Ma, Xiang Li, Xia Yuan(*), Chunxia Zhao. Two-phase Self-supervised Pretraining for Object Re-identification. Knowledge-Based Systems, 2023, 261:110220.

[7] 张康, 安泊舟, 李捷, 袁夏(*), 赵春霞. 基于RGB-D图像的语义场景补全研究进展综述. 软件学报, 2023, 34(1):444−462.

[8]  Xiaofeng Fu, Guoting Wei, Xia Yuan(*), Yongshun Liang, Yuming Bo. Efficient YOLOv7-Drone: An Enhanced Object Detection Approach for Drone-Aerial Imagery. Drones, 2023, 7:616.

[9] Zhiliang Wu, Kang Zhang, Hanyu Xuan, Xia Yuan(*), Chunxia Zhao. Divide-and-Conquer Model Based on Wavelet Domain for Multi-focus Image Fusion. Signal Processing: Image Communication, 2023, 113:116982.

[10] Fengming Sun, Xia Yuan(*), Chunxia Zhao. Selective Feature Fusion Network for Salient Object Detection. IET Computer Vision, 2023, 17:483-495.

[11] Fengming Sun, Junjie Cui, Xia Yuan(*), Chunxia Zhao. Rich-scale Feature Fusion Network for Salient Object Detection. IET Image Processing. 2023, 17:794–806.

[12] Haoyan Ma, Xiang Li, Xia Yuan(*), Chunxia Zhao, Ming Zhang. Denseformer: A Dense Transformer Framework for Person Re-identification. IET Computer Vision, 2023, 17(5):527-536.

[13] Kang Zhang, Zhiliang Wu, Xia Yuan(*), Chunxia Zhao. CFNet: Context Fusion Network for Multi-focus Images. IET Image Processing. 2022, 16:499-508.

[14] Jie Li, Yu Liu, Xia Yuan, etc.. Depth Based Semantic Scene Completion with Position Importance Aware Loss. IEEE Robotics and Automation Letters (RA-L). 2020, 5(1): 219-226. (https://github.com/waterljwant/SSC）

[15] Kang Zhang, Yongdong Huang, Xia Yuan(*), Chunxia Zhao. Infrared and Visible Image Fusion Based on Intuitionistic Fuzzy Sets. Infrared Physics & Technology. 2020, 105:103124.

会议论文：

[1] Huiying Xi, Xia Yuan(*), Shiwei Wu, Runze Geng, Kaiyang Wang, Yongshun Liang, ChunXia Zhao. FOTV-HQS: A Fractional-Order Total Variation Model for LiDAR Super-Resolution with Deep Unfolding Network. Asian Conference on Computer Vision (ACCV), 2024.

[2] Kai Zhang, Xia Yuan(*), Shuntong Chen, Di Hu, Chunxia Zhao. Multi-Modality Semantic-Shared Cross-View Ground-to-Aerial Localization. ACM Multimedia Asia (MMAsia), 2024.

[3] Shiwei Wu, Kang Zhang, Xia Yuan(*), Chunxia Zhao. Infrared and Visible Image Fusion by Using Multi-scale Transformation and Fractional-order Gradient Information. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

[4] Junjie Cui, Fengming Sun, Xia Yuan(*). Finding Camouflaged Object Guided by Contour and Attention. IEEE International Conference on Image Processing (ICIP), 2023.

[5] Shuntong Chen, Jiachen Xu, Xia Yuan(*), Chunxia Zhao. Semantic Mapping of Incremental 3D Point Clouds Based on Multi-hop Graph Attention Network. IEEE International Conference on Image Processing (ICIP), 2023.

[6] Junjie Cui, Fengming Sun, Xia Yuan(*). Contour-assisted Long-range Perceptual Network for Camouflaged Instance Segmentation. IEEE International Conference on Image Processing (ICIP), 2023.

[7] Fengming Sun, Kang Zhang, Xia Yuan(*), Chunxia Zhao. Feature Enhancement and Fusion For RGB-T Salient Object Detection. IEEE International Conference on Image Processing (ICIP), 2023.

[8] Xia Yuan, Junjie Cui, Zhengyu Liu, Shuting Yang, Xuejian Zhang. Camouflaged Object Segmentation Based on Fractional Edge Perception. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.

[9] Kang Zhang, Shiwei Wu, Zhiliang Wu, Xia Yuan(*), ChunXia Zhao. Fractional Optimization Model for Infrared and Visible Image Fusion. British Machine Vision Conference (BMVC), 2022.

[10] Lufei Huang, Fengming Sun, Xia Yuan(*). COMatchNet: Co-Attention Matching Network for Video Object Segmentation. Asian Conference on Patter Recognition (ACPR), 2021. (https://github.com/huanglf714/COMatchNet)

[11] Qiuyan Tang, Jialin Ye, Fukang Chen, Xia Yuan(*). Attention Guided Multi-level Feedback Network for Camouflage Object Detection. Asian Conference on Patter Recognition (ACPR), 2021. (https://github.com/baekqiu/AGMFNet-for-COD/)

[12] Fengming Sun, Lufei Huang, Xia Yuan(*), Chunxia Zhao. Salient Object Detection Via Cascaded Bottom-Up Feature Aggregation with Attention. IEEE International Conference on Multimedia and Expo (ICME), 2021.

[13] Jie Li, Peng Wang, Kai Han, Yu Liu, Xia Yuan. Anisotropic Convolutional Networks for 3D Semantic Scene Completion. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. （https://github.com/waterljwant/SSC）

[14] Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid. RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

参与编写专著：《人工智能-智能机器人》，电子工业出版社，2020

申请发明专利29件，已授权17件。

登记软件著作权5件。

主讲本科生课程：人工智能与智能机器人，智能科学技术导论。

主讲研究生课程：智能机器人系统与设计。

指导硕士研究生30余人，协助指导博士研究生8人。毕业生去向包括华为、腾讯、海康威视、大华、荣耀、毫末智行、美团、东方财富、国家教育部等。

指导学生竞赛获奖：

“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛特等奖。

中国研究生人工智能创新大赛一等奖。

中国研究生数学建模竞赛一等奖。

全国人工智能应用场景创新挑战赛全国总决赛一等奖。

全国青年科普创新实验暨作品大赛江苏赛区一等奖。