袁笛 (Di Yuan)，西安电子科技大学广州研究院华山准聘副教授，硕士研究生导师，IEEE、ACM、CCF、CAAI、CSIG会员，石光明教授广州研究院团队成员。2019年9月至2021年3月在澳大利亚莫纳什大学 (Monash University)进行博士联合培养 (合作导师：Prof.  Xiaojun Chang)，2021年11月在哈尔滨工业大学（深圳）计算机科学与技术学院获得工学博士学位（导师：何震宇教授）。国家自然基金函评专家、广东省自然科学基金入库专家、广州市科技局入库专家、全国研究生教育评估监测专家库专家等。2024年入选全球前2%顶尖科学家“年度科学影响力”榜单。目前主要研究方向为计算机视觉、图像处理、目标跟踪。主持国家自然科学基金青年项目、博士后科学基金（特别资助、面上资助）项目、广东省基础与应用基础研究基金自然科学基金面上项目、中央高校基本科研业务费专项资金项目、广州市基础研究计划基础与应用基础研究项目、智能光电教育部重点实验室开放课题项目；参与国家重点研发计划青年科学家项目、国家自然基金面上、广东省自然科学基金面上、深圳市学科布局、深圳市基础研究等项目。累计发表学术论文40余篇，其中一作论文20余篇，ESI高被引论文6篇。同时担任如IEEE TPAMI、TIP、TCSVT、TCYB、TNNLS、TGRS、TIV、TMM、TITS、TFS、TAI、THMS、TII、TETCI、IoT-J、ACM MM、AAAI、ICONIP等多种期刊或会议的审稿人。 

招生信息：

欢迎对计算机视觉、图像处理、深度学习等研究方向感兴趣的优秀本科生加入，可以通过邮件与我联系：yuandi@xidian.edu.cn。本人可根据学生的个人需求和发展，帮助规划学业。优秀学生可推荐到国内、国际一流课题组进行访问、交流、继续深造。

招生专业：计算机科学与技术（学术型）、电子信息（专业型：85401新一代电子信息技术 & 085404计算机技术）招生计划：2025年计划3个硕士名额，(已无空余招生指标更新日期：2024.09.18)。方向为电子信息（专业型：85401新一代电子信息技术 & 085404计算机技术）。研究生培养地点为广州研究院。欢迎咨询/报考硕士研究生!请邮件联系yuandi@xidian.edu.cn。

依托卓越工程师学院招生，报考信息详见：https://gzyjy.xidian.edu.cn/info/1009/7652.htm

授课信息：

本科生课程：《数值分析》、《知识工程》、《计算机导论与程序设计》

研究生课程：《机器学习理论与实践》

科研项目：

国家自然科学基金青年项目（主持）

广东省基础与应用基础研究基金自然科学基金面上项目（主持）

广州市基础研究计划基础与应用基础研究项目（主持）

中央高校基本科研业务费专项资金-自由探索项目(主持)

中国博士后科学基金第4批特别资助（站前）(主持)

中国博士后科学基金第74批面上资助(主持)

智能光电教育部重点实验室开放课题（重点项目）(主持)

中央高校基本科研业务费专项资金-新教师启动(主持-结题)

国家重点研发计划青年科学家项目（参与）

国家自然科学基金面上项目：基于表征学习的红外目标跟踪方法研究（参与）

国家自然科学基金面上项目：基于多视角与多示例学习的目标跟踪方法研究（参与）

深圳市学科布局项目：面向智能机器人的红外视觉跟踪方法研究（参与）

深圳市基础研究项目：面向增强现实的视觉目标跟踪方法（参与）

深圳市基础研究项目：面向虚拟现实的平面目标跟踪方法（参与）

广东省自然科学基金面上项目：基于分数阶对流扩散方程的地下水模型参数反演研究（参与）

待发表论文：

[p2.] Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning, In Peer Review, 2024.

[p1.] Progressive Domain Adaptation for Thermal Infrared Object Tracking, In Peer Review, 2024.

已发表论文：

英文期刊论文：

[j34.]  Di Yuan*, Donghai Liao(廖东海-23级), Feng Huang*, Zhaobing Qiu, Xiu Shu, Chunwei Tian, Qiao Liu. Hierarchical Attention Siamese Network for Thermal Infrared  Target Tracking, IEEE Transactions on Instrumentation & Measurement, Accept, 2024. (SCI, JCR-Q1,2022 IF=5.6)

[j33.] Di Yuan, Xiaojun Chang, Po-Yao Huang, Qiao Liu and Zhenyu He. Self-supervised deep correlation tracking [J]. IEEE Transactions on Image Processing, 2021, vol. 30, pp. 976-985. (SCI, CCF-A, JCR-Q1, 2021 IF=11.041, ESI高被引, 热点论文)（ 广东省计算机学会优秀论文一等奖，深圳市优秀科技学术论文成果奖）

[j32.] Di Yuan, Xiaojun Chang, Qiao Liu, Yi Yang, Dehua Wang, Minglei Shu, Zhenyu He and Guangming Shi. Active learning for deep visual tracking [J]. IEEE Transactions on Neural Networks and Learning Systems, (Early Access) 2023: 1-13. (SCI, CCF-B, JCR-Q1,2021 IF=14.255, ESI高被引, 热点论文)

[j31.] Di Yuan, Haiping Zhang(张海平-23级), Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He and Guangming Shi. Thermal Infrared Target Tracking: A Comprehensive Review[J]. IEEE Transactions on Instrumentation and Measurement, (Early Access) 2023: 1-19. (SCI, JCR-Q1,2022 IF=5.6)

[j30.] Di Yuan, Haiping Zhang(张海平-23级), Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He and Guangming Shi. An Attention Mechanism Based AVOD Network for 3D Vehicle Detection [J]. IEEE Transactions on Intelligent Vehicles, (Early Access) 2023: 1-13. (SCI, JCR-Q1,2022 IF=8.2)

[j29.] Di Yuan, Xiaojun Chang, Zhihui Li and Zhenyu He. Learning adaptive spatial-temporal context-aware correlation filters for UAV tracking [J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2022, vol. 18, no.3 Article No.: 70, pp 1–18. (SCI, CCF-B, JCR-Q1, 2021 IF=4.094, ESI高被引, 热点论文)（ 广东省计算机学会优秀论文二等奖）

[j28.] Di Yuan, Gu Geng(耿固-23级), Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He and Guangming Shi. Self-Supervised Discriminative Model Prediction for Visual Tracking, Neural Computing and Applications, published online, 2023. (SCI, CCF-C, JCR-Q2, 2022 IF=6.0)

[j27.] Di Yuan, Xiu Shu, Qiao Liu and Zhenyu He. Aligned spatial-temporal memory network for thermal infrared target tracking [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023, vol.70, no.3,  pp.1224-1228. (SCI, JCR-Q2, 2022 IF=4.4, ESI高被引)

[j26. Di Yuan, Xiu Shu, Qiao Liu, Xinming Zhang and Zhenyu He. Robust thermal infrared tracking via an adaptively multi-feature fusion model [J]. Neural Computing and Applications, 2023, vol. 24,  pp.3423–3434.  (SCI, CCF-C, JCR-Q2, 2022 IF=6.0)

[j25.] Di Yuan, Xiu Shu, Qiao Liu and Zhenyu He. Structural target-aware model for thermal infrared tracking [J]. Neurocomputing, 2022, vol. 491,  pp.44-56. (SCI, CCF-C, JCR-Q1, 2022 IF= 6.0)

[j24.] Di Yuan, Xiu Shu, Nana Fan, Xiaojun Chang, Qiao Liu and Zhenyu He. Accurate bounding-box regression with distance-IoU loss for visual tracking, Journal of Visual Communication and Image Representation, 2022, vol. 83, p.103428. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.678)

[j23.] Di Yuan, Nana Fan and Zhenyu He. Learning target-focusing convolutional regression model for visual object tracking [J]. Knowledge-Based Systems, 2020, vol. 194, p.105526. (SCI, CCF-C, JCR-Q1,2020 IF= 8.038)

[j22.] Di Yuan, Xin Li, Zhenyu He, Qiao Liu and Shuwei Lu. Visual object tracking with adaptive structural convolutional network [J]. Knowledge-Based Systems, 2020, vol. 194, p.105554. (SCI, CCF-C, JCR-Q1,2020 IF= 8.038)

[j21.] Di Yuan, Wei Kang and Zhenyu He. Robust visual tracking with correlation filters and metric learning [J]. Knowledge-Based Systems, 2020, vol. 195, p.105697. (SCI, CCF-C, JCR-Q1,2020 IF= 8.038)

[j20.] Di Yuan, Xiu Shu and Zhenyu He. TRBACF: Learning temporal regularized correlation filters for high performance online visual object tracking [J]. Journal of Visual Communication and Image Representation, 2020, vol. 72, p.102882. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.678)

[j19.] Di Yuan, Xiaohuan Lu, Donghao Li, Yingyi Liang and Xinming Zhang. Particle filter re-detection for visual tracking via correlation filters [J]. Multimedia Tools & Applications, 2019: vol. 78, no.11, pp. 14277–14301. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.757)

[j18.] Di Yuan, Xinming Zhang, Jiaqi Liu and Donghao Li. A multiple feature fused model for visual object tracking via correlation filters [J]. Multimedia Tools & Applications, 2019: vol. 78, no.19, pp. 27271–27290. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.757)

[j17.] Di Yuan, Shuwei Lu, Donghao Li and Xinming Zhang. Graph refining via iterative regularization framework [J]. SN Applied Sciences, 2019: vol. 1, no.5, p.387. (EI, ESCI, 2022 IF= 2.6)

[j16.] Di Yuan and Xinming Zhang. An overview of numerical methods for the first kind Fredholm integral equation [J]. SN Applied Sciences, 2019: vol. 1, no.10, p.1178. (EI, ESCI, 2022 IF= 2.6)

[j15.] Haiping Zhang(张海平-23级), Di Yuan*, Xiu Shu, Zhihui Li, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi, A Comprehensive Review of RGBT Tracking[J]. IEEE Transactions on Instrumentation and Measurement,2024, vol.73: 5027223. (SCI, JCR-Q1,2022 IF=5.6)

[j14.] Bing Liu, Di Yuan*, Xiaofang Li*. APR-Net Tracker: Attention Pyramidal Residual Network for Visual Object Tracking, IEEE Transactions on Emerging Topics in Computational Intelligence, Accept, 2024.

[j13.] Qiao Liu, Jiatian Pi, Peng Gao, Di Yuan*. STFNet: Self-Supervised Transformer for Infrared and Visible Image Fusion[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024: 1-14. (SCI, JCR-Q2,2022 IF= 5.3)

[j12.] Xiu Shu, Feng Huang*, Zhaobing Qiu, Xinming Zhang , Di Yuan*. Learning Unsupervised Cross-Domain Model for TIR Target Tracking[J]. Mathematics 2024, 12(18), 2882. (SCI, JCR-Q1,2022 IF= 2.3)

[j11.] Youqiang Xiong(熊有强-24级), Lu Li, Di Yuan, Haoqi Wang, Tianliang Ma, Zhongqi Wang, Yuping Yang. CFRNet: Road Extraction in Remote Sensing Images Based on Cascade Fusion Network[J]. IEEE Geoscience and Remote Sensing Letters, 2024, Vol. 21:6011705. (SCI, JCR-Q1,2022 IF= 4.0)

[j10.] Qiao Liu, Xin Li, Di Yuan, Chao Yang,  Xiaojun Chang and Zhenyu He. LSOTB-TIR: A large-scale high-diversity thermal infrared single object tracking benchmark[J]. IEEE Transactions on Neural Networks and Learning Systems, (Early Access) 2023: 1-14. (SCI, CCF-B, JCR-Q1,2020 IF= 14.255)

[j9.] Qiao Liu, Di Yuan, Nana Fan, Peng Gao, Xin Li and Zhenyu He. Learning dual-level deep representation for thermal infrared tracking[J]. IEEE Transactions on Multimedia, 2022, vol. 25,  pp.1269 - 1281. (SCI, CCF-B, JCR-Q1,2021 IF= 8.182, ESI高被引)

[j8.] Bing Liu, Xiaojun Chang, Di Yuan and Yong Yang. HCDC-SRCF tracker: Learning an adaptively multi-feature fuse tracker in spatial regularized correlation filters framework [J]. Knowledge-Based Systems, 2022, vol. 238, p.107913. (SCI, CCF-C, JCR-Q1,2020 IF= 8.038)

[j7.] Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan and Hongpeng Wang. Learning deep multi-level similarity for thermal infrared object tracking [J]. IEEE Transactions on Multimedia,2021: vol. 23, pp.2114 - 2126. (SCI, CCF-B, JCR-Q1, 2021 IF= 8.182, ESI高被引)

[j6.] Kai Yang, Zhenyu He, Wenjie Pei, Zikun Zhou, Xin Li, Di Yuan and Haijun Zhang. SiamCorners: Siamese corner networks for visual tracking [J]. IEEE Transactions on Multimedia,  2022: vol. 24, pp.1956 - 1967. (SCI, CCF-B, JCR-Q1, 2021 IF= 8.182, ESI高被引)（ 广东省计算机学会优秀论文二等奖）

[j5.] Xiu Shu, Di Yuan*, Qiao Liu and Jiaqi Liu. Adaptive weight part-based convolutional network for person re-identification [J]. Multimedia Tools & Applications, 2020, vol. 79, no.31, pp. 23617-23632. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.757)

[j4.] Jiaqi Liu, Kang Wang, Di Yuan and Jianjun Li. Lower bounds of the average mixture discrepancy for row augmented designs with mixed four-and five-level[J]. Communication in Statistics- Theory and Methods, 2022.(SCI, JCR-Q3, 2020 IF= 0.893)

[j3.] Weihua Ou, Di Yuan, Qiao Liu, et al. Object tracking based on online representative sample selection via non-negative least square [J]. Multimedia Tools & Applications, 2018: vol. 77, no.9, pp.10569-10587. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.757)

[j2.] Xinming Zhang and Di Yuan. A niche ant colony algorithm for parameter identification of space fractional order diffusion equation [J]. IAENG International Journal of Applied Mathematics, 2017: vol. 47, no.2, pp.197-208. (EI)

[j1.] Weihua Ou, Di Yuan, Donghao Li, et al. Patch-based visual tracking with online representative sample selection [J]. Journal of Electronic Imaging, 2017:26(3), p.033006. (SCI, JCR-Q4, 2020 IF= 0.945)

英文会议论文：

[c9.] Youqiang Xiong(熊有强-24级), Di Yuan*, Lu Li, Xiu Shu. MFPNet: Mixed Feature Perception Network for Automated Skin Lesion Segmentation[C]. the 7th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Accept, 2024. (CCF-C)

[c8.] Xiu Shu and Di Yuan*. Local Variance-driven Level Set Model withApplication to Segment Medicallmages [C]. International Conference on Cyber-physical Social Intelligence (ICCSI) 2023:1-6. (EI, Best Oral Paper Award)

[c7.] Di Yuan, Xiu Shu and Qiao Liu. Recent Advances on Thermal Infrared Target Tracking: A Survey [C]. 6th Asian Conference on Artificial Intelligence Technology (ACAIT) 2022:1-6. (EI)

[c6.] Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan and Feng Zheng. LSOTB-TIR: A large-scale high-diversity thermal infrared object tracking benchmark [C]. 28th ACM International Conference on Multimedia (ACM MM), 2020:3847-3856. (EI, CCF-A)

[c5.] Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu and Yongsheng Liang. Multi-task driven feature models for thermal infrared tracking [C]. Thirty-Fourth AAAI Conference on Artifical Intelligence (AAAI), 2020: 11604-11611. (EI, CCF-A)

[c4.] Di Yuan, Guanglei Zhao, Donghao Li, Zhenyu He and Nan Luo. Visual object tracking based on particle filter re-detection [C]. International Conference on Security, Pattern Analysis, and Cybernetics, (ICSPAC) 2017:7-12. (EI)

[c3.] Di Yuan, Xiaohuan Lu, Donghao Li, Zhenyu He and Nan Luo. Multi feature fused for visual tracking via correlation filters [C]. International Conference on Security, Pattern Analysis, and Cybernetics, (ICSPAC) 2017:88-93. (EI)

[c2.] Qiao Liu, Di Yuan and Zhenyu He. Thermal infrared object tracking via Siamese convolutional neural networks[C]. International Conference on Security, Pattern Analysis, and Cybernetics, (ICSPAC) 2017:1-6. (EI, Best Paper Award)

[c1.] Xiaohuan Lu, Di Yuan, Zhenyu He and Donghao Li. Sparse selective kernelized correlation filter model for visual object tracking[C]. International Conference on Security, Pattern Analysis, and Cybernetics, (ICSPAC) 2017:100-105. (EI) 

中文期刊论文：

[z6.] 梁应勤(23级),袁笛*.无人机目标跟踪技术中的研究进展[J].计算机技术与发展,2024,在线发表.

[z5.]罗旭东(23级),袁笛*,常晓军,何震宇.基于不确定性启发图像增强的水下目标跟踪[J].计算机工程,2024,在线发表.

[z4.]代宇航,刘乔,袁笛,等.低秩自适应微调的一阶段红外目标跟踪[J].红外与激光工程,2024,53(08):99-113.

[z3.]范焱,刘乔,袁笛,等.空域和频域特征解耦的红外与可见光图像融合[J].红外与激光工程,2024,53(08):222-237.

[z2.]袁笛.基于弱监督表示学习的热红外目标跟踪[J].计算机技术与发展,2024,34(04):35-41.

[z1.] 张新明,袁笛,关晨辰.分数阶扩散方程参数反演的改进花朵授粉算法[J].哈尔滨工业大学学报,2018,50(10):151-161.

教改论文：

1. Di Yuan. Discussion and Thinking in Course Design and Teaching of Numerical Analysis[C]. 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023):419-425. (EI) 

发明专利：

7. 基于图像合成和域对抗学习的自监督目标跟踪方法及系统。发明专利（授权）2024

6. 一种基于单目标跟踪的半自动化视频图像标注方法及系统。发明专利（授权）2024

5.一种基于对齐时空记忆网络的热红外目标跟踪方法。发明专利（实审）2023

4. 一种基于主动学习指导的深度相关目标跟踪方法。发明专利（实审）2023

3. 一种基于响应峰值的多特征融合目标跟踪定位方法。发明专利（实审）2022

2. 基于多周期循环一致性的自监督目标跟踪方法。发明专利（实审）2022

1. 在相关滤波框架下基于粒子滤波重检测的目标跟踪方法。发明专利（授权）公告日：2022.2.11

软件著作：

1. 基于多层卷积神经网络的热红外目标跟踪软件V1.0。原始取得，2023

荣誉与奖励：

12/2023 广东省计算机学会优秀论文二等奖

02/2023 广东省计算机学会优秀论文一等奖

12/2022 深圳市优秀科技学术论文成果奖

12/2020 哈尔滨工业大学优秀学生

12/2020 博士研究生国家奖学金

12/2019 哈尔滨工业大学优秀学生

06/2019 国家留学基金委联合培养博士生奖学金

05/2019 哈尔滨工业大学优秀团员

12/2018 哈尔滨工业大学优秀学生

 05/2018 哈尔滨工业大学优秀团员

12/2017 “华为杯”第十四届中国研究生数学建模竞赛二等奖

06/2017 哈尔滨工业大学(深圳校区)2017届优秀毕业生 (~10%)

05/2016 哈尔滨工业大学优秀团员

09/2015 哈尔滨工业大学研究生入学一等奖学金

04/2014 Mathematical Contest In Modeling (MCM) Was Designated As Honorable Mention

06/2013 “深圳杯”东三省数学建模联赛一等奖