杨聪，男，副教授，苏州大学-地平线智能驾驶生态创新中心主任。博士毕业于德国锡根大学（University of Siegen），师从Marcin Grzegorzek教授，研究方向为计算机视觉与模式识别。后在法国国家信息与自动化研究所（INRIA）进行博士后研究，师从Marie-Odile Berger教授，方向集中于计算机视觉并涉及多个学科的交叉。2017年回国，担任扩博智能（Clobotics）算法团队负责人，带领团队成功研发并交付了多个智能零售相关产品，客户包括可口可乐，尼尔森，沃尔玛，宝洁等。2019年加入地平线（Horizon Robotics），担任南京人工智能高等研究院高级研究员，带领团队深度参与了地平线征程2-5代芯片在智能驾驶领域的落地与量产，也使得长安UNI-T成为首款搭载国产人工智能芯片的智能汽车。在此期间，他还设计并提出了多个基于国产大算力芯片的参考算法包。杨聪博士先后在IJCV，TVCG, TIP，ACM MM，TITS，ECCV, PR等国内外知名期刊或会议发表学术论文近60篇，专著2本，主编教材5部，专利近40个（含美国专利4个），并担任T-PAMI，TVCG，TITS等多个期刊/会议审稿人。杨聪博士注重产学研结合，并与国内外多所高校长期保持学术合作，目前主要研究方向为：计算机视觉，机器学习，智能驾驶、基于国产大算力芯片的智能感知等。
English website: https://cong-yang.github.io/ （最新科研进展）
Looking for post-doc, PhD, and M.Sc. candidates, top-tier (high GPA/proved research capability) undergraduates, who are interested in computer vision and machine learning, especially for solving real-industrial problems. Please send me up-to-date resume via cong.yang AT suda.edu.cn.
教材与专著（Books）
[1] 杨聪 （专著），《智能座舱开发与实践》，机械工业出版社，2022.（十佳汽车好书，京东）
[2] 杨聪 主编（教材），《智能驾驶与机器视觉》，机械工业出版社，2024.（京东）
[3] 杨聪 主编（教材），《智能驾驶与人机交互》，机械工业出版社，2025.（京东）
[4] 杨聪 主编（教材），《智能驾驶与三维重建》，机械工业出版社，2025.
[5] 杨聪 主编（教材），《智能驾驶与计算架构》，机械工业出版社，2025.
[6] 杨聪 主编（教材），《智能驾驶导论》，高等教育出版社，2025.
[7] Cong Yang（专著）, Object Shape Generation, Representation and Matching, Logos Verlag Berlin, 2016, ISBN: 978-3-8325-4399-0.（Amazon链接）
代表成果（* Corresponding）Full publication list is detailed in Google Scholar
[1] Zhijie Zhang, Cong Yang (*通讯作者), Xue Qin, Wei Sui, Zeyd Boukhers, Hui Kong, Jie Liu, Zhijun Li, R4-SLAM: Toward Real-time, Robust, and Resource-Restricted Visual SLAM in Dynamic Environments, IEEE Transactions on Instrumentation and Measurement (T-IM), pp 1-12, 2025. （中科院二区，IF=5.9）
[2] Ruohong Mei, Wei Sui, Jiaxing Zhang, Xue Qin, Gang Wang, Tao Peng, Tao Chen and Cong Yang (*通讯作者), RoMe: Towards large scale road surface reconstruction via mesh representation, IEEE Transactions on Intelligent Vehicles (T-IV), pp 1-12, 2024. （中科院一区，IF=14.0）
[3] Chenyao Yu, Yingfeng Cai, Jiaxin Zhang, Hui Kong, Wei Sui and Cong Yang（*通讯作者）, VRSO: Visual-Centric Reconstruction for Static Object Annotation, IEEE International Conference on Intelligent Robots and Systems (IROS 2024), pp 1-6, 2024.（机器人及智能驾驶顶会）
[4] Jiaxin Zhang, Shiyuan Chen, Haoran Yin, Ruohong Mei, Xuan Liu Liu, Cong Yang（*通讯作者） and Wei Sui, A Vision-Centric Approach for Static Map Element Annotation, IEEE International Conference on Robotics and Automation (ICRA 2024), pp 1-7, 2024.（机器人及智能驾驶顶会）
[5] Cong Yang, Hua Zhou, Xun Liu, Yan Ke, Tao Chen and John See, BladeView: Towards Automatic Wind Turbine Inspection with Unmanned Aerial Vehicle, IEEE Transactions on Automation Science and Engineering (T-ASE), pp 1-12, 2024. （中科院一区, IF=5.6）
[6] Cong Yang, Bipin Indurkhya, John See, Bo Gao, Yan Ke, Zeyd Boukhers, Zhenyu Yang and Marcin Grzegorzek, Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks, International Journal of Computer Vision (IJCV), 132(4), pp 1219-1241, 2024. （CCF A, IF=19.5）
[7] Cong Yang, Xun Liu, Hua Zhou, Yan Ke and John See, Towards Accurate Image Stitching for Drone-based Wind Turbine Blade Inspection, Renewable Energy, 203, pp 267-279,2023. (中科院一区，IF=8.634).
[8] Cong Yang, Zhenyu Yang, Yan Ke, Tao Chen, Marcin Grzegorzek and John See, Doing More with Moiré Pattern Detection in Digital Photos, IEEE Transactions on Image Processing, 32, pp 694-708, 2023. （中科院一区，CCF A，IF=11.041）
[9] Cong Yang, Zhenyu Yang, Weiyu Li and John See, FatigueView: A Multi-Camera Video Dataset for Vision-based Drowsiness Detection, IEEE Transactions on Intelligent Transportation Systems, 24(1), pp 233-246, 2022. (中科院一区, IF=9.551)
[10] Cong Yang, Bipin Indurkhya, John See and Marcin Grzegorzek, Towards Automatic Skeleton Extraction with Skeleton Grafting, IEEE Transactions on Visualization and Computer Graphics, 27(12), pp 4520-4532, 2021. (中科院一区，CCF A, IF= 5.226)
[11] Cong Yang, Olaf Flak and Marcin Grzegorzek, Representation and matching of team managers: An experimental research, IEEE Transactions on Computational Social Systems, pp 311-323, 2018. (CAA A, IF=4.747)
[12] Cong Yang, Oliver Tiebe, Kimiaki Shirahama and Marcin Grzegorzek, Object matching with hierarchical skeletons, Pattern Recognition, pp 183-197, 2016. (中科院一区，IF=8.0)
[13] Yulu Zhang, Liang Sang, Marcin Grzegorzek, John See and Cong Yang(*通讯作者), BlumNet: Graph Component Detection for Object Skeleton Extraction, ACM Multimedia, pp 5528-5536, 2022. （CCF A）
[14] Kai Leng, Cong Yang(*通讯作者), Wei Sui, Jie Liu and Zhijun Li(*), SiTPose: A Siamese Convolutional Transformer for Relative Camera Pose Estimation, IEEE International Conference on Multimedia and Expo (ICME 2023), pp 1-6, 2023. （CCF B）
[15] R. Sun, C. Qian, C. Zhu, W. Sui, Z. Boukhers and Cong Yang (*通讯作者). YawnNet: A Visual-Centric Approach for Yawning Detection. International Conference on Multimedia Retrieval (ICMR), 1-4, 2024.（CCF B）
[16] Cong Yang, Wenfeng Wang, Yunhui Zhang, Zhikai Zhang, Lina Shen, Yipeng Li and John See, MLife: a lite framework for machine learning lifecycle initialization, Machine Learning, pp 1-21, 2021. (CCF B, IF=5.414)
[17] Zhiming Chen, Kean Chen, Weiyao Lin, John See, Hui Yu, Yan Ke and Cong Yang(*通讯作者), PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments, European Conference on Computer Vision (ECCV 2020), pp 1-17, 2020. (CCF B，机器视觉三大顶会)
杨聪，男，副教授，苏州大学-地平线智能驾驶生态创新中心主任。博士毕业于德国锡根大学（University of Siegen），师从Marcin Grzegorzek教授，研究方向为计算机视觉与模式识别。后在法国国家信息与自动化研究所（INRIA）进行博士后研究，师从Marie-Odile Berger教授，方向集中于计算机视觉并涉及多个学科的交叉。2017年回国，担任扩博智能（Clobotics）算法团队负责人，带领团队成功研发并交付了多个智能零售相关产品，客户包括可口可乐，尼尔森，沃尔玛，宝洁等。2019年加入地平线（Horizon Robotics），担任南京人工智能高等研究院高级研究员，带领团队深度参与了地平线征程2-5代芯片在智能驾驶领域的落地与量产，也使得长安UNI-T成为首款搭载国产人工智能芯片的智能汽车。在此期间，他还设计并提出了多个基于国产大算力芯片的参考算法包。杨聪博士先后在IJCV，TVCG, TIP，ACM MM，TITS，ECCV, PR等国内外知名期刊或会议发表学术论文近60篇，专著2本，主编教材5部，专利近40个（含美国专利4个），并担任T-PAMI，TVCG，TITS等多个期刊/会议审稿人。杨聪博士注重产学研结合，并与国内外多所高校长期保持学术合作，目前主要研究方向为：计算机视觉，机器学习，智能驾驶、基于国产大算力芯片的智能感知等。
English website: https://cong-yang.github.io/ （最新科研进展）
Looking for post-doc, PhD, and M.Sc. candidates, top-tier (high GPA/proved research capability) undergraduates, who are interested in computer vision and machine learning, especially for solving real-industrial problems. Please send me up-to-date resume via cong.yang AT suda.edu.cn.
教材与专著（Books）
[1] 杨聪 （专著），《智能座舱开发与实践》，机械工业出版社，2022.（十佳汽车好书，京东）
[2] 杨聪 主编（教材），《智能驾驶与机器视觉》，机械工业出版社，2024.（京东）
[3] 杨聪 主编（教材），《智能驾驶与人机交互》，机械工业出版社，2025.（京东）
[4] 杨聪 主编（教材），《智能驾驶与三维重建》，机械工业出版社，2025.
[5] 杨聪 主编（教材），《智能驾驶与计算架构》，机械工业出版社，2025.
[6] 杨聪 主编（教材），《智能驾驶导论》，高等教育出版社，2025.
[7] Cong Yang（专著）, Object Shape Generation, Representation and Matching, Logos Verlag Berlin, 2016, ISBN: 978-3-8325-4399-0.（Amazon链接）
代表成果（* Corresponding）Full publication list is detailed in Google Scholar
[1] Zhijie Zhang, Cong Yang (*通讯作者), Xue Qin, Wei Sui, Zeyd Boukhers, Hui Kong, Jie Liu, Zhijun Li, R4-SLAM: Toward Real-time, Robust, and Resource-Restricted Visual SLAM in Dynamic Environments, IEEE Transactions on Instrumentation and Measurement (T-IM), pp 1-12, 2025. （中科院二区，IF=5.9）
[2] Ruohong Mei, Wei Sui, Jiaxing Zhang, Xue Qin, Gang Wang, Tao Peng, Tao Chen and Cong Yang (*通讯作者), RoMe: Towards large scale road surface reconstruction via mesh representation, IEEE Transactions on Intelligent Vehicles (T-IV), pp 1-12, 2024. （中科院一区，IF=14.0）
[3] Chenyao Yu, Yingfeng Cai, Jiaxin Zhang, Hui Kong, Wei Sui and Cong Yang（*通讯作者）, VRSO: Visual-Centric Reconstruction for Static Object Annotation, IEEE International Conference on Intelligent Robots and Systems (IROS 2024), pp 1-6, 2024.（机器人及智能驾驶顶会）
[4] Jiaxin Zhang, Shiyuan Chen, Haoran Yin, Ruohong Mei, Xuan Liu Liu, Cong Yang（*通讯作者） and Wei Sui, A Vision-Centric Approach for Static Map Element Annotation, IEEE International Conference on Robotics and Automation (ICRA 2024), pp 1-7, 2024.（机器人及智能驾驶顶会）
[5] Cong Yang, Hua Zhou, Xun Liu, Yan Ke, Tao Chen and John See, BladeView: Towards Automatic Wind Turbine Inspection with Unmanned Aerial Vehicle, IEEE Transactions on Automation Science and Engineering (T-ASE), pp 1-12, 2024. （中科院一区, IF=5.6）
[6] Cong Yang, Bipin Indurkhya, John See, Bo Gao, Yan Ke, Zeyd Boukhers, Zhenyu Yang and Marcin Grzegorzek, Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks, International Journal of Computer Vision (IJCV), 132(4), pp 1219-1241, 2024. （CCF A, IF=19.5）
[7] Cong Yang, Xun Liu, Hua Zhou, Yan Ke and John See, Towards Accurate Image Stitching for Drone-based Wind Turbine Blade Inspection, Renewable Energy, 203, pp 267-279,2023. (中科院一区，IF=8.634).
[8] Cong Yang, Zhenyu Yang, Yan Ke, Tao Chen, Marcin Grzegorzek and John See, Doing More with Moiré Pattern Detection in Digital Photos, IEEE Transactions on Image Processing, 32, pp 694-708, 2023. （中科院一区，CCF A，IF=11.041）
[9] Cong Yang, Zhenyu Yang, Weiyu Li and John See, FatigueView: A Multi-Camera Video Dataset for Vision-based Drowsiness Detection, IEEE Transactions on Intelligent Transportation Systems, 24(1), pp 233-246, 2022. (中科院一区, IF=9.551)
[10] Cong Yang, Bipin Indurkhya, John See and Marcin Grzegorzek, Towards Automatic Skeleton Extraction with Skeleton Grafting, IEEE Transactions on Visualization and Computer Graphics, 27(12), pp 4520-4532, 2021. (中科院一区，CCF A, IF= 5.226)
[11] Cong Yang, Olaf Flak and Marcin Grzegorzek, Representation and matching of team managers: An experimental research, IEEE Transactions on Computational Social Systems, pp 311-323, 2018. (CAA A, IF=4.747)
[12] Cong Yang, Oliver Tiebe, Kimiaki Shirahama and Marcin Grzegorzek, Object matching with hierarchical skeletons, Pattern Recognition, pp 183-197, 2016. (中科院一区，IF=8.0)
[13] Yulu Zhang, Liang Sang, Marcin Grzegorzek, John See and Cong Yang(*通讯作者), BlumNet: Graph Component Detection for Object Skeleton Extraction, ACM Multimedia, pp 5528-5536, 2022. （CCF A）
[14] Kai Leng, Cong Yang(*通讯作者), Wei Sui, Jie Liu and Zhijun Li(*), SiTPose: A Siamese Convolutional Transformer for Relative Camera Pose Estimation, IEEE International Conference on Multimedia and Expo (ICME 2023), pp 1-6, 2023. （CCF B）
[15] R. Sun, C. Qian, C. Zhu, W. Sui, Z. Boukhers and Cong Yang (*通讯作者). YawnNet: A Visual-Centric Approach for Yawning Detection. International Conference on Multimedia Retrieval (ICMR), 1-4, 2024.（CCF B）
[16] Cong Yang, Wenfeng Wang, Yunhui Zhang, Zhikai Zhang, Lina Shen, Yipeng Li and John See, MLife: a lite framework for machine learning lifecycle initialization, Machine Learning, pp 1-21, 2021. (CCF B, IF=5.414)
[17] Zhiming Chen, Kean Chen, Weiyao Lin, John See, Hui Yu, Yan Ke and Cong Yang(*通讯作者), PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments, European Conference on Computer Vision (ECCV 2020), pp 1-17, 2020. (CCF B，机器视觉三大顶会)
