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。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）。2022-2024年在西安电子科技大学开展博士后研究工作（合作导师：石光明教授）。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项目、智能光电教育部重点实验室开放课题等项目；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。在IEEE TIP、TNNLS、TIV、TCSVT、TMM、TIM、TETCI、ACM MM、AAAI等国际期刊或会议上累计发表学论文50余篇，其中一作/通讯论文30余篇，ESI高被引论文7篇。申请发明专利10余项，授权4项。同时担任如PLOS ONE、Sensors、AI等国际期刊的客座编辑以及IEEE TPAMI、TIP、TCSVT、TCYB、TNNLS、TGRS、TIV、TMM、TITS、TFS、TAI、THMS、TII、TETCI、IoT-J、CVPR、ACM MM、AAAI等多种期刊或会议的审稿人。 

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招生信息：

2026年计划招收0854电子信息类硕士研究生3-4名（保研/考研），欢迎邮件联系。

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：3-4名。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

组内成员信息（姓氏顺序）：

2025级：马张立、王新超、文权锐、徐炜、于文晴

2024级：郭国茂、江海鹏(李旭阳联合指导)、熊有强(24年硕士研究生国家奖学金)、魏鹏飞、朱华毅

2023级：耿固(24年硕士研究生国家奖学金)、梁应勤、廖东海、罗旭东、张海平(24年硕士研究生国家奖学金)

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》

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科研项目：

国家自然科学基金青年项目（主持）2023.01--2025.12

广东省自然科学基金面上项目（主持）2024.01--2026.12

广东省自然科学基金面上项目（主持）2025.01--2027.12

广州市基础研究计划项目（主持-结题）2022.04--2025.03

中国博士后科学基金第4批特别资助（站前）(主持-结题)2022.11--2024.11

中国博士后科学基金第74批面上资助(主持-结题)2023.11--2024.11

云南省无人自主系统重点实验室开放课题（重点项目）(主持)2025.04--2026.04

智能光电教育部重点实验室开放课题（重点项目）(主持)2023.10--2025.09

中央高校基本科研业务费专项资金-自由探索项目(主持-结题)2024.01--2024.12

中央高校基本科研业务费专项资金-新教师启动 (主持-结题)2022.01--2023.12

国家重点研发计划青年科学家项目（参与）2022.11--2025.10

企业横向：智慧交通研究中心项目--雷视融合子课题（负责人） 2024.11-2026.06

博士在读期间参与项目列表：

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-结题）

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-结题）

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-结题）

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-结题）

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已发表论文：

英文期刊论文：

[j45.] Youqiang Xiong(熊有强-24硕), Xiu Shu*, Qiao Liu, Di Yuan*. HCMNet: A Hybrid CNN-Mamba Network for Breast Ultrasound Segmentation for Consumer Assisted Diagnosis[J]. IEEE Transactions on Consumer Electronics, (Early Access) 2025: 1-11. (SCI, JCR-Q1, 2025 IF=10.9)

[j44.] Gu Geng(耿固-23硕), Sida Zhou*, Jianing Tang, Xinming Zhang, Qiao Liu, Di Yuan*. Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning[J]. Sensors, 2025, vol. 25(15):4621. (SCI, JCR-Q2, 2025 IF=3.5)

[j43.] Di Yuan*, Haiping Zhang(张海平-23硕), Qiao Liu, Xiaojun Chang, Zhenyu He. Transformer-based RGBT Tracking with Spatio-Temporal Information Fusion[J]. IEEE Sensors Journal, (ACCEPT) 2025. (SCI, JCR-Q1, 2025 IF=4.5)

[j42.] Xudong Luo(罗旭东-23硕), Di Yuan*, Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He. Adaptive Trajectory Correction for Underwater Object Tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, (Early Access) 2025: 1-10. (SCI, JCR-Q1,CCF-B, 2025 IF=11.1)

[j41.] Donghai Liao(廖东海-23硕), Xiu Shu, Zhihui Li, Qiao Liu*, Di Yuan*, Xiaojun Chang, Zhenyu He. Fine-grained Feature and Template Reconstruction for TIR Object Tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, (Early Access) 2025: 1-11. (SCI, JCR-Q1,CCF-B, 2025 IF=11.1)

[j40.] Di Yuan*, Donghai Liao(廖东海-23硕), Feng Huang*, Zhaobing Qiu, Xiu Shu, Chunwei Tian, Qiao Liu. Hierarchical Attention Siamese Network for Thermal Infrared Target Tracking[J]. IEEE Transactions on Instrumentation & Measurement, 2024, vol. 73:5032411. (SCI, JCR-Q1,2022 IF=5.6)

[j39.] 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, 2022 IF=10.8, ESI高被引)（ 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）

[j38.] 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, 2024, vol.35, no.10, pp.13284-13296. (SCI, CCF-B, JCR-Q1,2022 IF=10.2, ESI高被引)（ 广东省计算机学会优秀论文二等奖，深圳市优秀科技学术论文成果奖）

[j37.] Di Yuan*, Haiping Zhang(张海平-23硕), 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, 2024, vol. 73:5032411. (SCI, JCR-Q1,2022 IF=5.6, ESI高被引)

[j36.] Di Yuan*, Haiping Zhang(张海平-23硕), 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)

[j35.] 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, 2022 IF=5.2, ESI高被引)（ 广东省计算机学会优秀论文二等奖）

[j34.] Di Yuan*, Gu Geng(耿固-23硕), Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He and Guangming Shi. Self-Supervised Discriminative Model Prediction for Visual Tracking[J]. Neural Computing and Applications, 2024, vol.36, pp.5153-5164. (SCI, CCF-C, JCR-Q2, 2022 IF=6.0)

[j33.] 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)

[j32.] 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)

[j31.] 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)

[j30.] Di Yuan, Xiu Shu, Nana Fan, Xiaojun Chang, Qiao Liu and Zhenyu He*. Accurate bounding-box regression with distance-IoU loss for visual tracking [J]. Journal of Visual Communication and Image Representation, 2022, vol. 83, p.103428. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.678)

[j29.] 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)

[j28.] 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)

[j27.] 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)

[j26.] 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)

[j25.] 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)

[j24.] 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)

[j23.] 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)

[j22.] 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)

[j21.] Haiping Zhang(张海平-23硕), 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)

[20.] Yingqin Liang(梁应勤-23硕), Feng Huang*, Zhaobing Qiu, Xiu Shu, Qiao Liu, Di Yuan*.Uncertainty and diversity-based active learning for UAV tracking[J]. Neurocomputing, 2025, 639: 130265. (SCI, JCR-Q1, 2024 IF= 5.5)

[19.] Xiu Shu, Zhihui Li, Xiaojun Chang, Di Yuan*.Variational methods with application to medical image segmentation: A survey[J]. Neurocomputing, 2025, 639: 130260. (SCI, JCR-Q1, 2024 IF= 5.5)

[j18.] 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, (Early Access) 2024: 1-13. (SCI, JCR-Q2, 2022 IF= 5.3)

[j17.] Xiu Shu, Zhihui Li, Chunwei Tian, Xiaojun Chang, Di Yuan*. An active learning model based on image similarity for skin lesion segmentation[J]. Neurocomputing, 2025, 630: 129690. (SCI, JCR-Q1, 2024 IF= 5.5)

[j16.] Xiu Shu, Feng Huang, Zhaobing Qiu, Chunwei Tian, Qiao Liu, Di Yuan*. Search region updating with hierarchical feature fusion for accurate thermal infrared tracking[J]. Journal of the Franklin Institute, 2024, 361(18): 107332. (SCI, JCR-Q1, 2022 IF= 3.7)

[j15.] 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)

[j14.] 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)

[j13.] Renping Xie, Ming Tao, Hengye Xu, Mengyao Chen, Di Yuan, Qiao Liu*. Overexposed infrared and visible image fusion benchmark and baseline[J]. Expert Systems with Applications, 2025, 266: 126024.(SCI, JCR-Q1,2022 IF=7.5)

[j12.] Qiao Li, Kanlun Tan, Di Yuan, Qiao Liu*. Progressive Domain Adaptation for Thermal Infrared Tracking[J]. Electronics, 2025, 14(1): 162.(SCI, JCR-Q2,2022 IF=2.6)

[j11.] Youqiang Xiong(熊有强-24硕), 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, 2024, vol. 35, no. 7, pp. 9844-9857. (SCI, CCF-B, JCR-Q1, IF=10.2)

[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：

[c11.] Pengfei Wei(魏鹏飞-24硕), Qiao Liu, Zhenyu He, Di Yuan*. A Multi-Stream Visual-Spectral-Spatial Adaptive Hyperspectral Object Tracking[C].The International Conference on Multimedia Retrieval (ICMR 2025), ACCEPT.(CCF-B)

[c10.] Qiao Li, Kanlun Tan, Qiao Liu, Di Yuan, Xin Li, Yunpeng Liu. Efficient Hierarchical Domain Adaptive Thermal Infrared Tracking[C].2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2025: 1-5. (CCF-B)

[c9.] Youqiang Xiong(熊有强-24硕), 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),2024: 105-117. (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硕),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,2024,34(11):1-8.

[z5.]罗旭东(23硕),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,2025,51(1):11-19.

[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) 

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发明专利：

19.袁笛等，基于自然语言与目标状态信息的视觉目标跟踪方法.发明专利，(受理)2025

18.袁笛等，基于双重更新策略与互指导损失的视频目标跟踪方法及系统.发明专利，(受理)2025

17.袁笛等，一种基于多流混合专家适配器的高光谱目标跟踪方法.发明专利，(受理)2025

16.袁笛等，基于多流视觉-光谱-空间适配器的高光谱目标跟踪方法.发明专利，(受理)2025

15. 袁笛等，一种基于交互隐藏状态时空信息的RGBT目标跟踪方法及系统.发明专利，(受理)2025

14. 袁笛等，基于混合特征感知网络的皮肤病变图像分割方法.发明专利，(受理)2025

13. 袁笛等，基于高效视觉状态空间解码的医学图像分割方法.发明专利，(受理)2025

12. 袁笛等，基于大语言模型与知识图谱的故障问答方法.发明专利，(受理)2025

11. 袁笛等，基于不确定性与样本多样性的无人机目标跟踪方法及系统.发明专利，(受理)2025

10. 袁笛等，基于视频流与输入特征引导融合的RGBT目标跟踪方法及系统.发明专利，(受理)2025

9. 袁笛等，一种基于自适应轨迹校正的水下目标跟踪方法及系统.发明专利，(受理)2025

8. 袁笛等，基于多尺度自适应级联融合的视觉语言跟踪方法及系统.发明专利，(受理)2025

7. 袁笛等，基于域适应和时空信息融合的 RGBT目标跟踪方法.发明专利，(实审)2024

6. 袁笛等，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

5. 袁笛等，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

4. 袁笛等，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（授权）2024

3. 袁笛等，基于多周期循环一致性的自监督目标跟踪方法。发明专利（授权）2024

2. 袁笛等，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

1. 袁笛等，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

软件著作：

1. 袁笛等，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

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荣誉与奖励：

12/2024 广东省计算机学会优秀论文二等奖

12/2024 深圳市优秀科技学术论文成果奖

12/2023 广东省计算机学会优秀论文二等奖

10/2023 International Conference on Cyber-physical Social Intelligence Best Oral Paper Award 

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