信息与通信工程学院
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| 导师代码： |
11114
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| 导师姓名： |
郭贤生
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| 性 别： |
男 |
| 特 称： |
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| 职 称： |
教授
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| 学 位： |
工学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
xsguo@uestc.edu.cn
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| 学术经历：
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2008-2009 香港大学 副研究员
2012-2014 清华大学博士后
2016-2017 新泽西理工学院访问学者
2019-至今 IEEE 高级会员
入选2014年度四川省学术和技术带头人后备人选
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| 个人简介：
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2008年6月博士毕业于电子科技大学，2008-2009在香港大学EEE系做副研究员（Research Associate）， 2012-2014为清华大学电子工程系做博士后，2016-2017年在新泽西理工学院进行访问为期一年的访学。2018年晋升博士生导师，2019年晋升教授，2019年四月晋升 IEEE Senior member。
主持国家自然基金面上2项、青年项目1项，浙江省重点研发计划“尖兵”项目1项，中国博士后基金及省博士后基金一等资助项目3项，四川省科技厅项目1项，航天联合基金1项，华为技术有限公司、航天一院、北京宇航系统工程研究所等横向项目若干。
研究方向：
室内定位理论和方法，混构融合定位、多智能体交互感知、高精度地图、低速无人驾驶技术、SLAM、迁移学习、强化学习、多传感器融合、磁准静态场定位等。
已发表包括一区TOP期刊在内的高水平论文110余篇。申请专利35项，授权专利20项，在室内定位领域出版学术专著3本。
团队包括3名博士后，6名博士生，22名硕士。
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| 科研项目：
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[1] 多智能体众包强化迁移室内定位理论及方法研究，国家自然基金面上项目，No. 62171086
[2] 混构网融合高精度室内定位中的迁移学习理论及方法研究，国家自然基金面上项目，No. 61771114
[3] 室内混构网环境下高精度目标定位中的迁移学习理论及方法研究（面上），四川省科技厅，M112018JY0242
[4] 基于空间谱群指纹的高精度室内定位方法研究，国家自然基金青年项目，No. 61201277
[5] 自主可控开放互联的工业自动化系统平台，浙江省重点研发计划（尖兵）项目，2023C01026
[6] 多智能体交互定位理论和方法研究，衢州市科技计划项目，2021D002
[7] 旅游景点全地形车辅助安全驾驶关键技术研究，衢州市科技计划项目，2022D001
[8] NLOS指纹定位算法创新技术合作，华为技术有限公司，200235
[9] 高超声速****技术，***技术合作项目，2023-2024
[10] XX智能XX，航天联合基金项目，2017-2019
[11] XXX系统研制，北京宇航系统工程研究所，230032
[12] 组网协同任务XX技术研究，航天一院，200928
[13] 海面目标小样本探测信息知识迁移共享机理研究，航天预研基金，200595
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| 研究成果：
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[1]. H. Cui, X. Guo, M. Wang, D. Zhang, J. Zhang, Y. Zhang, F. Gu and S. Niu, “Industrial Implementation of Digital Twin in the Tissue Paper Converting System,” Processes 2025, 13(4), 986; https://doi.org/10.3390/pr13040986.
[2]. H. Cui, X. Guo and L. Yu, “Leveraging Pre-Trained GPT Models for Equipment Remaining Useful Life Prognostics,” Electronics 2025, 14(7), 1265; https://doi.org/10.3390/electronics14071265.
[3]. H. Si, X.Guo, G. O. Boateng, Y. Yang, N. Ansari, “Spatial Feature Topology-based Heterogeneous Knowledge Transfer Framework for Long-Term Fingerprint Positioning,” IEEE Transactions on Vehicular Technology, Accepted, DOI: 10.1109/TVT.2025.3555656, 2025.
[4]. K. Chen, G. O. Boateng, H. Si, X. Guo, N. Ansari, “A Contract-based Incentive Mechanism for Optimal Pricing and Allocation in Shared AVPC,” INFOCOM, 2025, Accepted.
[5]. L. Li, Z. Xing, X. Guo, H. Zheng, “D2-MLoc: Dual-Domain MLP-Mixer Framework for CSI-Fingerprinting Indoor Localization,” IEEE Transactions on Cognitive Communications and Networking, Early Access, DOI: 10.1109/TCCN.2025.3530698, 2025.
[6]. Y. Liu, H. Si, G. O. Boateng, X. Guo, Y. Cao, B. Qian, N. Ansari, “Hard Sample Meta-Learning for CIR NLOS Identification in UWB Positioning,” IEEE Internet of Things Journal, Early Access, DOI: 10.1109/JIOT.2025.3525722, 2025.
[7]. B. Q ian, X. Guo, G. O. Boateng, R. An, H. Liu, Z. Lai, C. Chen, “Magnetoquasistatic Positioning: Recent Advances, Applications, Potential Solutions, and Future Prospects,” IEEE Internet of Things Journal, vol.12, no. 6, pp. 6250-6274, 2025.
[8]. G. O. Baotoeng, A. Erbad, M. Abegaz, M. Hamdi, X. Guo, M. Guizani, “Coalitional Game-guided Reinforcement Learning for P2P Resource Trading in Sliced IIoT Networks,” 2024 IEEE Global Communications Conference (IEEE Globecom), Accepted, 2024.
[9]. Q. Dai, B. Qian, G. O. Baotoeng, X. Guo, and N. Ansari, “GRIDLoc: A Gradient Blending and Deep Learning based Localization Approach Combining RSS and CSI,” IEEE Wireless Communications Letters, IEEE Wireless Communications Letters, vol. 13, no. 9, pp. 2620-2624, 2024. （影响因子：4.6，中科院大类分区2区）
[10]. X. Guo, G. O. Boateng, H. Si, Y. Cao, Y. Qiu, Z. Lai, X. Li, and C. Chen, “Automated Valet Parking and Charging: A Novel Collaborative AI-empowered Architecture, ” IEEE Communications Magazine, vol. 63, no. 1, pp. 131-137, 2025.（影响因子：8.3，中科院大类分区1区TOP期刊）
[11]. G. O. Boateng, H. Si, H. Xia, X. Guo, C. Chen, I. O. Agyemang, and N. Ansari, “Automated Valet Parking and Charging: A Dynamic Pricing and Reservation-based Framework Leveraging Multi-Agent Reinforcement Learning”, IEEE Transactions on Intelligent Vehicle, Early access, DOI: 10.1109/TIV.2024.3421524, June, 2024. （影响因子：14，中科院大类分区1区TOP期刊）
[12]. Y. Yang, X. Guo, C. Chen, G. O. Boateng, H. Si, B. Qian, L. Duan, “TRAIL: A Three-step Robust Adversarial Indoor Localization Framework,” IEEE Sensors Journal, vol. 24, no. 7, pp. 10462–10473, Apr., 2024.（影响因子：4.3，中科院大类分区2区TOP期刊）
[13]. H. Si, X. Guo, N. Ansari, C. Chen, L. Duan, J. Huang, "Environment-Aware Positioning by Leveraging Unlabeled Crowdsourcing Data," IEEE Internet of Things Journal, vol. 11, no. 9, pp. 16436-16449, May., 2024. （影响因子：10.6，中科院大类分区1区TOP期刊）
[14]. H. T. Gidey，X. Guo，H. Si，L. Li，Y. Zhang, “Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments, “ Sensors 2024, 24(17), 5665;
[15]. H. T. Gidey, X. Guo, H. Si, L. Li and Y. Zhang, “Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures,” Sensors 2024, 24(21), 6876; https://doi.org/10.3390/s24216876
[16]. H. Si, X. Guo, N. Ansari, “Multi-Agent Interactive Localization: A Positive Transfer Learning Perspective,” IEEE Transactions on Cognitive Communications and Networking, Vol. 10, no. 2, pp. 553-566, Apr., 2024. （影响因子：7.4，中科院大类分区1区TOP期刊）
[17]. Y. Zhang, X. Guo, H. Leung, L. Li, “Cross-Task and Cross-Domain SAR Target Recognition: A Meta-Transfer Learning Approach,” Pattern Recognition, vol. 138, 109402, June 2023.（影响因子：8.518，中科院大类分区1区TOP期刊）
[18]. S. Qin, X. Guo, “Robust source positioning method with accurate and simplified worst-case approximation,” IEEE Internet of Things Journal, vol. 10, no. 1, pp. 66-80, 2023.（影响因子：10.238，中科院大类分区1区TOP期刊）
[19]. Y. Zhang, X. Guo, L. Li, N. Ansari, “Deep knowledge integration of heterogeneous features for domain adaptive SAR target recognition,” Pattern Recognition, vol. 126, 108590, June 2022. （影响因子：8.518，中科院大类分区1区TOP期刊）
[20]. L. Li, X. Guo, Y. Zhang, N. Ansari, H. Li, “Long Short-Term Indoor Positioning System via Evolving Knowledge Transfer,” IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 5556 - 5572, 2022. （影响因子：8.346，中科院大类分区1区TOP期刊）
[21]. L. Li, X. Guo, M. Zhao, N. Ansari, H. Li, “TransLoc: A Heterogeneous Knowledge Transfer Framework for Fingerprint-Based Indoor Localization,” IEEE Transactions on Wireless Communications, vol. 20, no. 6, pp. 3628-2642, 2021. （影响因子：8.346，中科院大类分区1区TOP期刊）
[22]. X. Guo, N. Ansari, L. Li, L. Duan, “A Hybrid Positioning System for Location-based Services: Design and Implementation,” IEEE Communications Magazine, vol. 58, no. 5, pp. 90-96, June, 2020. （影响因子：11.052，中科院大类分区1区TOP期刊）
[23]. X. Guo, R. Nkrow, N. Ansari, L. Li, and L. Wang, “Robust WiFi Localization by Fusing Derivative Fingerprints of RSS and Multiple Classifiers,” IEEE Transactions on Industrial Informatics, vol. 16, no. 5, pp. 3177-3186, 2020. （影响因子：11.64，中科院大类分区1区TOP期刊，ESI高被引论文，2020年上榜）
[24]. L. Li, X. Guo, N. Ansari, “SmartLoc: Smart Wireless Indoor Localization Empowered by Machine Learning,” IEEE Transactions on Industrial Electronics, vol. 67, no. 8, pp. 6883-6893, 2020. （影响因子：8.16，中科院大类分区1区TOP期刊）
[25]. X. Guo, N. Ansari, F. Hu, Y. Shao, R. Nkrow, L. Lin, “A Survey on Fusion-based Indoor Positioning,” IEEE Communications Surveys & Tutorials, vol. 22, no. 1, First Quarter, pp. 566-594, 2020. （影响因子：33.84，中科院大类分区1区TOP期刊）
[26]. L. Li, X. Guo, N. Ansari, H. Li, “A Hybrid Fingerprint Quality Evaluation Model for WiFi Localization,” IEEE Internet of Things Journal, vol. 6, no. 6, pp. 9829-9840, 2019.（影响因子：10.238，中科院大类分区1区TOP期刊）
[27]. X. Guo, L. Li, F. Xu, and N. Ansari, “Expectation Maximization Indoor Localization Utilizing Supporting Set for Internet of Things,” IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2573-2582, 2019. （影响因子：10.238，中科院大类分区1区TOP期刊）
[28]. X. Guo, S. Zhu, L. Li, F. Hu, and N. Ansari, “Accurate WiFi Localization by Unsupervised Fusion of Extended Candidate Location Set,” IEEE Internet of Things Journal, vol. 6, no.2, pp. 2476 -2485, 2019. （影响因子：10.238，中科院大类分区1区TOP期刊）
[29]. X. Guo, L. Li, N. Ansari, and B. Liao, “Knowledge Aided Adaptive Localization via Global Fusion Profile,” IEEE Internet of Things Journal, vol. 5, no. 2, pp. 1081-1089, 2018. （影响因子：10.238，中科院大类分区1区TOP期刊）
[30]. X. Guo, N. Ansari, L. Li, and H. Li, “Indoor Localization by Fusing a Group of Fingerprints Based on Random Forests,” IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4686-4698, 2018. （影响因子：10.238，中科院大类分区1区TOP期刊）
[31]. X. Guo, L. Li, N. Ansari, and B. Liao, “Accurate WiFi Localization by Fusing a Group of Fingerprints via Global Fusion Profile,” IEEE Transactions on Vehicular Technology, vol. 67, no. 8, pp. 7314-7325, 2018. （影响因子：5.339，中科院大类分区2区）
[32]. X. Guo and N. Ansari, “Localization by fusing a group of fingerprints via multiple antennas in indoor environment,” IEEE Transactions on Vehicular Technology, vol. 66, no. 11, pp. 9904–9915, 2017. （影响因子：6.239，中科院大类分区2区）
[33]. S. Qin, X. Guo, “Robust source positioning method with accurate and simplified worst-case approximation,” IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 1891-1900, 2022. （影响因子：6.239，中科院大类分区2区）
[34]. X. Guo, L. Chu, X. Sun, “Accurate Localization of Multiple Sources Using Semidefinite Programming Based on Incomplete Range Matrix,” IEEE Sensors Journal, vol. 16, no. 13, pp. 5319-5324, 2016. （影响因子：4.325，中科院大类分区2区）
[35]. Y. Zhang, X. Guo, “Multi-view Classification with Semi-Supervised Learning for SAR Target Recognition,” Signal Processing, vol. 183, 108030, 2021. （影响因子：4.729，中科院大类分区2区）
[36]. H. Huang, B. Liao, X. Guo, J. Huang, “DOA estimation of rectilinear signals with a partly calibrated uniform linear array, ” Signal Processing, vol. 147, pp. 203-207, 2018. （影响因子：4.729，中科院大类分区2区）
[37]. X. Guo, L. Chu, N. Ansari, “Joint localization of multiple sources from incomplete noisy Euclidean distance matrix in wireless networks,” Computer Communications, vol. 122, pp. 20-29, 2018. （影响因子：5.047，中科院大类分区3区）
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 081000信息与通信工程 |
03雷达探测与成像识别，08智能感知与信息系统，09机器学习与人工智能 |
博士学术学位 |
| 085400电子信息 |
01不区分研究方向，02不区分研究方向（非全） |
博士专业学位 |
| 086100交通运输 |
01不区分研究方向 |
博士专业学位 |
| 081000信息与通信工程 |
03雷达探测与成像识别，08智能感知与信息系统，09机器学习与人工智能 |
硕士学术学位 |
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