周小虎，中国科学院自动化研究所研究员，博士研究生导师，国家优秀青年科学基金获得者，国家重点研发首席青年科学家，中国科学院青年创新促进会会员，入选中国科学院首批“特别研究助理人才计划”、“特聘研究骨干岗位”、“技术支撑人才”，国家基金委/北京市科委评审专家，主要研究方向包括心脑血管介入手术机器人、触觉仿生感知、智能影像导航等。目前已在该领域发表学术论文60余篇，其中IEEE汇刊20篇(第一/通讯作者13篇)，MICCAI/ICRA/IJCAI/AAAI等顶级会议论文18篇；获授权国际PCT专利3项、国家发明专利25项；主持NSFC优秀青年科学基金、国家重点研发首席青年科学家项目、面上项目、青年基金、腾讯Robotics X犀牛鸟专项、北京市面上专项、区域联合重点基金课题、国家重点研发计划子课题等；荣获亚太神经网络学会青年学者奖 (APNNS Young Researcher Award)、中国科学院“院长特别奖”、中国人工智能学会/自动化学会“优秀博士学位论文奖”、机器人国际会议IEEE RCAR 2022/2023 (连续两年)“最佳论文奖”、ICBIR 2023“最佳医疗机器人论文奖”、IEEE ROBIO 2023“最佳学生论文奖”、机器人旗舰会议IEEE ICRA 2020、医疗机器人会议CME 2017“最佳论文提名奖”等荣誉奖励。

医疗机器人，智慧医疗，人工智能，机器学习

●国家自然科学基金委员会，优秀青年科学基金项目，血管介入手术机器人，62222316，2023-01至2025-12，200万元，在研，主持
●科技部，国家重点研发计划-青年科学家项目，血管介入手术机器人精准感知与智能操控关键技术研究，2023YFC2415100，2023-11至2026-10，200万元，在研，主持
●***，介入*******机器人，E3T80208，2023-06至2025-07，200万元，在研，主持
●国家自然科学基金委员会，面上项目，基于脑-肌调控机制的机器人操作技能学习研究，62373351，2024-01至2027-12，50万元，在研，主持
●中国科学院，中国科学院“特聘研究骨干”(人才类资助)，血管介入手术机器人，E3S90213，2023-01至2027-12，150万元，在研，主持
●中国科学院，中国科学院技术支撑人才项目(人才类资助)，血管介入手术机器人，2024-01至2026-12，30万元，在研，主持
●中国电子学会-腾讯Robotics X犀牛鸟专项研究计划，机器人仿生触觉：从感知到认知，E3D102172，023-02至2024-01，45万元，在研，主持
●国家自然科学基金委员会，区域创新发展联合基金项目，融合多导联心电信号多维度特征的心肌梗死早期诊断及精准定位研究，U20A20224，2021-01至2024-12，258万元，在研，课题负责人
●国家自然科学基金委员会，青年科学基金项目，面向智能辅助的血管介入手术机器人技能学习研究，62003343，2021-01至2023-12，24万元，已结题，主持
●科技部，国家重点研发计划，面向复杂病变的多器械协同递送血管介入手术机器人关键技术及应用研究，2019YFB1311700，2019-12至2022-11，2553万元，已结题，子课题负责人
●中国科学院，中国科学院特别研究助理资助项目(人才类资助)，血管介入手术机器人触觉感知与反馈，Y9S9FZ07，2019-07至2021-07，80万元，已结题，主持
●中国科学院，中国科学院青年创新促进会会员资助项目(人才类资助)，血管介入手术机器人视觉感知与导航，2020140，2020-01至2023-12，80万元，已结题，主持
●北京市自然科学基金委员会，面上专项，心脑血管微创介入手术机器人的智能交互与安全操控研究，M22008，2022-01至2023-12，30万元，已结题，主持
●国家自然科学基金委员会，联合基金项目，眼科微创手术机器人的精确感知与精准操控，U1713220，2018-01至2021-01，300万元，已结题，参与
●国家自然科学基金委员会，面上项目，机器人辅助血管介入手术中器械跟踪与控制方法研究，61673379，2017-01至2017-12，16万元，已结题，参与
●国家自然科学基金委员会，国际(地区)合作与交流项目，基于专家医生操作技能的血管介入手术机器人的自适应学习控制，61611130217，2016-04至2018-03，10万元，已结题，参与

[1]Xiaohu Zhou, Xiaoliang Xie, Zhenqiu Feng, Zengguang Hou*, Guibin Bian, Ruiqi Li, Zhenliang Ni, Shiqi Liu, and Yanjie Zhou, “A multilayer and multimodal-fusion architecture for simultaneous recognition of endovascular manipulations and assessment of technical skills,” IEEE Transactions on Cybernetics, vol. 52, no. 4, pp. 2565-2577, April, 2022.  
[2]Xiaohu Zhou, Xiaoliang Xie*, Shiqi Liu, Zhenliang Ni, Yanjie Zhou, Ruiqi Li, Meijiang Gui, Chenchen Fan, Zhenqiu Feng, Guibin Bian, and Zengguang Hou*, “Learning skill characteristics from manipulations,” IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 12, pp. 9727-9741, December, 2023.
[3]Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, and Zengguang Hou*, “An interventionalist-behavior-based data fusion framework for guidewire tracking in percutaneous coronary intervention,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 11, pp. 4836-4849, November, 2020.
[4]Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, Zengguang Hou*, Xinkai Qu, and Shaofeng Guan, “Analysis of interventionalists’ natural behaviors for recognizing motion patterns of endovascular tools during percutaneous coronary interventions,” IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 2, pp. 330-342, April, 2019.  
[5]Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, Zengguang Hou*, Ruiqi Li, and Yanjie Zhou, “Qualitative and quantitative assessment of technical skills in percutaneous coronary intervention: in vivo porcine studies,” IEEE Transactions on Biomedical Engineering, vol. 67, no. 2, pp. 353-364, February, 2020.
[6]Xiaohu Zhou, Xiaoliang Xie*, Shiqi Liu, Zhenqiu Feng, Meijiang Gui, Jinli Wang, Hao Li, Tianyu Xiang, Guibin Bian, and Zengguang Hou*, “Surgical skill assessment based on dynamic warping manipulations,” IEEE Transactions on Medical Robotics and Bionics, vol. 4, no. 1, pp. 50-61, February, 2022.
[7]Meijiang Gui, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Hao Li, Tianyu Xiang, Jinli Wang, and Zengguang Hou*, “Design and experiments of a novel Halbach-cylinder-based magnetic skin: a preliminary study,” IEEE Transactions on Instrumentation and Measurement, vol. 71, p. 9502611, January, 2022. (Corresponding author)
[8]Meijiang Gui, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, and Zengguang Hou*, “Soft magnetic skin’s deformation analysis for tactile perception,” IEEE Transactions on Industrial Electronics, vol. 70, no. 12, pp. 12883-12893, December, 2023. (Corresponding author)
[9]Meijiang Gui, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Hao Li, Tianyu Xiang, Dexing Huang, Boxian Yao, Yonggen Lin, and Zengguang Hou*, “Highly interpretable representation for multi-dimensional tactile perception,” IEEE Transactions on Medical Robotics and Bionics, vol. 6, no. 1, pp. 340-350, January, 2024. (Corresponding author)
[10]Hao Li, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, and Zengguang Hou*, “CASOG: Conservative Actor-critic with SmOoth Gradient for skill learning in robot-assisted intervention,” IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2023.3310021, 2023. (Corresponding author)
[11]Tianyu Xiang, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Chen Wang, Meijiang Gui, Hao Li, and Zengguang Hou*, “Quantitative movement analysis using scaled information implied in monocular videos,” IEEE Transactions on Medical Robotics and Bionics, vol. 5, no. 1, pp. 88-99, February, 2023. (Corresponding author)
[12]Ruiqi Li, Xiaoliang Xie, Xiaohu Zhou*, Shiqi Liu, Zhenliang Ni, Yanjie Zhou, Guibin Bian, and Zengguang Hou*, “A unified framework for multi-guidewire endpoint localization in fluoroscopy images,” IEEE Transactions on Biomedical Engineering, vol. 69, no. 4, pp. 1406-1416, April, 2022. (Corresponding author)
[13]Hao Li, Xiaohu Zhou*, Xiaoliang Xie*, Shiqi Liu, Meijiang Gui, Tianyu Xiang, Jinli Wang, and Zengguang Hou, “Discrete soft actor-critic with auto-encoder on vascular robotic system,” Robotica, vol. 41, no. 4, pp. 1115-1126, April, 2023. (Corresponding author)
[14]Zhenliang Ni, Xiaohu Zhou, Guanan Wang, Wenqian Yue, Zhen Li, Guibin Bian*, and Zengguang Hou*, “SurgiNet: pyramid attention aggregation and class-wise self-distillation for surgical instrument segmentation,” Medical Image Analysis, vol. 76, no. 2022, p. 102310, February, 2022. 
[15]Ruiqi Li, Xiaoliang Xie, Xiaohu Zhou, Shiqi Liu, Zhenliang Ni, Yanjie Zhou, Guibin Bian, and Zengguang Hou*, “Real-time multi-guidewire endpoint localization in fluoroscopy images,” IEEE Transactions on Medical Imaging, vol. 40, no. 8, pp. 2002-2014, August, 2021.  
[16]Yanjie Zhou, Xiaoliang Xie, Xiaohu Zhou, Shiqi Liu, Guibin Bian, and Zengguang Hou*, “A real-time multifunctional framework for guidewire morphological and positional analysis in interventional X-ray fluoroscopy,” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 657-667, September, 2021.  
[17]Linsen Zhang, Shiqi Liu*, Xiaoliang Xie, Xiaohu Zhou, Zengguang Hou*, Chaonan Wang, Xinkai Qu, Wenzheng Han, Xiyao Ma, and Meng Song, “A novel spatial position prediction navigation system makes surgery more accurate,” IEEE Transactions on Medical Imaging, vol.42, no. 12, pp. 3614-3624, December, 2023.  
[18]Chenchen Fan, Hongjun Yang, Liang Pen, Xiaohu Zhou, Zhenliang Ni, Yanjie Zhou, Sheng Chen, and Zengguang Hou*, “BGL-Net: a brain-inspired global-local information fusion network for Alzheimer’s disease based on sMRI,” IEEE Transactions on Cognitive and Developmental Systems, vol. 15, no. 3, pp. 1161-1169, September, 2023.
[19]Chenchen Fan, Liang Pen, Tian Wang, Hongjun Yang, Xiaohu Zhou, Zhenliang Ni, Guanan Wang, Sheng Chen, Yanjie Zhou, and Zengguang Hou*, “TR-GAN: multi-session future MRI prediction with temporal recurrent generative adversarial network,” IEEE Transactions on Medical Imaging, vol. 41, no. 8, pp. 1925-1937, August, 2022.
[20]Chenchen Fan, Hongjun Yang, Chutian Zhang, Liang Pen, Xiaohu Zhou, Shiqi Liu, Sheng Chen, and Zengguang Hou*, “Graph reasoning module for Alzheimer’s disease diagnosis: a plug-and-play method,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, DOI: 10.1109/TNSRE.2023.3337533, November, 2023.
[21]Yanjie Zhou, Xiaoliang Xie, Xiaohu Zhou, Shiqi Liu, Guibin Bian, and Zengguang Hou*, “Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy,” Computerized Medical Imaging and Graphics, vol. 83, no. 2020, p. 101734, July, 2020.
[22]Zhenliang Ni, Guibin Bian*, Zhen Li, Xiaohu Zhou, Ruiqi Li, and Zengguang Hou*, “Space squeeze reasoning and low-rank bilinear feature fusion for surgical image segmentation,” IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 7, pp. 3209-3217, July, 2022.
[23]Jianlong Hao, Guibin Bian, Xiaoliang Xie, Zengguang Hou*, and Xiaohu Zhou, “Development and evaluation of a 7-DOF haptic interface,” IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 1, pp. 261-269, January, 2018.  
[24]桂美将, 周小虎, 谢晓亮, 刘市祺, 李浩, 王晋利, 侯增广*, “面向机器人触力觉感知的磁场解析与仿真,”浙江大学学报(工学版), 2022, 50(6): 1144-1151. (期刊论文, EI)
[25]奉振球, 侯增广*, 边桂彬, 谢晓亮, 周小虎,“微创血管介入手术机器人的主从交互控制方法与实现”, 自动化学报, 2016, 42(5): 696-705.
[26]赵含霖, 谢晓亮*, 奉振球, 刘市祺, 周小虎, 侯增广,“血管介入手术机器人系统综述”, 中国医疗设备, 2020, 35(12): 11-16.
[27]Boxian Yao, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Meijiang Gui, and Zengguang Hou*, “Accurate perception of manipulation force makes vascular intervention safer,” in Proceedings of International Conference on Biomimetic, Intelligence and Robots (ICBIR), Zunyi, China, pp. 15-21, July 25-28, 2023. (Corresponding author, 机器人领域国际会议, 最佳论文奖)
[28]Meijiang Gui, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Hao Li, Tianyu Xiang, Dexing Huang, Boxian Yao, and Zengguang Hou*, “Design and construction of a spherical magnet array for multi-dimensional tactile perception,” in Proceedings of The 2022 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR), Datong, China, pp. 25-31, July 17-22, 2023. (Corresponding author, 机器人领域国际会议, 最佳论文奖)
[29]Tianyu Xiang, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Chen Wang, Meijiang Gui, Hao Li, and Zengguang Hou*, “Single camera based gait analysis methods with scaled and image coordinate key-points,” in Proceedings of The 2022 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR), Guiyang, China, pp. 25-32, July 17-22, 2022. (Corresponding author, 机器人领域国际会议, 最佳论文奖)
[30]Xiaohu Zhou, Xiaoliang Xie, Zhenqiu Feng, Zengguang Hou*, Guibin Bian, Ruiqi Li, Zhenliang Ni, Shiqi Liu, and Yanjie Zhou, “A multilayer-multimodal fusion architecture for pattern recognition of natural manipulations in percutaneous coronary interventions,” in Proceedings of 2020 IEEE International Conference on Robotics and Automation (IEEE ICRA), Paris, France, pp. 3039-3045, May 31-August 31, 2020. (机器人领域旗舰会议, 最佳论文提名奖)
[31]Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, Zengguang Hou*, and Jianlong Hao, “Prediction of natural guidewire rotation using an sEMG-based NARX neural network,” in Proceedings of 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, USA, pp. 419-424, May 14-17, 2017.
[32]Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, and Zengguang Hou*, “An HMM-based recognition framework for endovascular manipulations,” in Proceedings of 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, pp. 3393-3396, July 11-15, 2017.
[33]Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, Zengguang Hou*, and Jianlong Hao, “PCA-based muscle selection for interventional manipulation recognition,” in Proceedings of IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Qingdao, China, pp. 921-926, December 3-7, 2016.
[34]Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, Zengguang Hou*, and Jianlong Hao, “Tracking natural guidewire manipulations with an improved data glove,” in Proceedings of IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Qingdao, China, pp. 1832-1837, December 3-7, 2016.  
[35]周小虎, 边桂彬, 谢晓亮, 侯增广*, “基于光纤数据手套的血管介入手术捻转与推送操作识别的方法,” 第35届中国控制会议论文集, 2016: 9406-9411.
[36]Dexing Huang, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Jianlong Hao, Zengguang Hou*, Ning Ma, and Long Yan, “A novel two-stage framework for 2D/3D registration in neurological interventions,” in Proceedings of the 2022 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Xihuangbanna, China, pp. 266-271, December 5-9, 2022. (Corresponding author)
[37]Tianyu Xiang, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Meijiang Gui, Hao Li, and Zengguang Hou*, “A DNN-based learning framework for continuous movements segmentation,” The 2023 29th International Conference on Neural Information Processing (ICONIP 2023), Changsha, China, pp. 399-410, November 20-23, 2023. (Corresponding author)
[38]Tianyu Xiang, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Hongjun Yang, Zhenqiu Feng, Jianlong Hao, and Zengguang Hou*, “A novel two-stream model for human motor characteristics learning,” in Proceedings of the 2022 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Xishuangbanna, China, pp. 339-344, December 5-9, 2022. (Corresponding author)
[39]Tianyu Xiang, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Hongjun Yang, Zhenqiu Feng, Meijiang Gui, Hao Li, Dexing Huang, and Zengguang Hou*, “Learning shared semantic information from multimodal bio-signals for brain-muscle modulation analysis,” in Proceedings of the 31st ACM International Conference on Multimedia, Ottawa, ON, Canada, pp. 6016-6024, October 29-November 3, 2023. (Corresponding author, 多模态信息处理领域顶会)
[40]Zhe Yu, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, and Zengguang Hou*, “Feature-fusion-based haze recognition in endoscopic images,” The 2023 29th International Conference on Neural Information Processing (ICONIP 2023), Changsha, China, pp. 375-387, November 20-23, 2023. (Corresponding author)
[41]Hao Li, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Meijiang Gui, Tianyu Xiang, Dexing Huang, and Zengguang Hou*, “Effective skill learning on vascular robotic systems: combining offline and online reinforcement learning,” The 2023 29th International Conference on Neural Information Processing (ICONIP 2023), Changsha, China, pp. 28-40, November 20-23, 2023. (Corresponding author)
[42]Siyi Wei, Xiaobo Sun, Xiaohu Zhou*, and Zengguang Hou, “A novel vascular robotic system: performance evaluation,” in Proceedings of the 27th International Conference on Neural Information Processing (ICONIP), Bangkok, Thailand, pp. 727-737, December 12-15, 2020. (Corresponding author)
[43]Ruiqi Li, Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, and Zengguang Hou*, “Recognition of endovascular manipulations using recurrent neural network,” in Proceedings of 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, pp. 7010-7013, July 23-27, 2019.
[44]Ruiqi Li, Guibin Bian, Xiaohu Zhou, Xiaoliang Xie, Zhenliang Ni, and Zengguang Hou*, “A two-stage framework for real-time guidewire endpoint localization,” in Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, pp. 357-365, October 13-17, 2019. (医学影像分析领域顶级会议)
[45]Ruiqi Li, Guibin Bian, Xiaohu Zhou, Xiaoliang Xie, Zhenliang Ni, Yanjie Zhou, Yuhan Wang, and Zengguang Hou*, “Vessel width estimation via convolutional regression,” in Proceedings of the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, pp. 600-610, September 27-October 1, 2021. (医学影像分析领域顶级会议)
[46]Ruiqi Li, Guibin Bian, Xiaohu Zhou, Xiaoliang Xie, Zhenliang Ni, and Zengguang Hou*, “CAU-net: a novel convolutional neural network for coronary artery segmentation in digital substraction angiography,” in Proceedings of the 27th International Conference on Neural Information Processing (ICONIP), Bangkok, Thailand, pp. 185-196, December 12-15, 2020.
[47]Zhenliang Ni, Guibin Bian*, Xiaohu Zhou, Zengguang Hou, Xiaoliang Xie, and Zhen Li, “Attention-guided lightweight network for real-time segmentation of robotic surgical instruments,” in Proceedings of 2020 IEEE International Conference on Robotics and Automation (IEEE ICRA), Paris, France, pp. 9939-9945, May 31-August 31, 2020. (机器人领域旗舰会议)
[48]Zhenliang Ni, Guibin Bian*, Xiaohu Zhou, Zengguang Hou, Xiaoliang Xie, Chen Wang, Yanjie Zhou, Ruiqi Li, and Zhen Li, “RAUNet: residual attention U-net for semantic segmentation of cataract surgical instruments,” in Proceedings of 2019 International Conference on Neural Information Processing (ICONIP), Sydney, Australia, pp. 139-149, December 12-15, 2019.
[49]Zhenliang Ni, Guibin Bian*, Guanan Wang, Xiaohu Zhou, Zengguang Hou, Xiaoliang Xie, Zhen Li, and Yuhan Wang, “BARNet: bilinear attention network with adaptive receptive fields for surgical instrument segmentation,” in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, pp. 832-838, January 7-15, 2021. (CCF-A)
[50]Zhenliang Ni, Guibin Bian*, Guanan Wang, Xiaohu Zhou, Zengguang Hou, Huabin Chen, and Xiaoliang Xie, “Pyramid attention aggregation network for semantic segmentation of surgical instruments,” in Proceedings of the 34th AAAI Conference on Artificial Intelligence, New York, USA, pp. 11782-11790, February 7-12, 2020. (CCF-A)
[51]Zhenliang Ni, Guibin Bian, Xiaoliang Xie, Zengguang Hou*, Xiaohu Zhou, and Yanjie Zhou, “RASNet: segmentation for tracking surgical instruments in surgical videos using refined attention segmentation network,” in Proceedings of 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, pp. 5735-5738, July 23-27, 2019.  
[52]Yanjie Zhou, Xiaoliang Xie, Zengguang Hou*, Xiaohu Zhou, Guibin Bian, and Shiqi Liu, “Lightweight double attention-fused networks for intraoperative stent segmentation,” in Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Lima, Peru, pp. 3-13, October 4-8, 2020.
[53]Yanjie Zhou, Shiqi Liu, Xiaoliang Xie, Xiaohu Zhou, Guanan Wang, Zengguang Hou*, Ruiqi Li, Zhenliang Ni, and Chenchen Fan, “A real-time multi-task framework for guidewire segmentation and endpoint localization in endovascular interventions,” in Proceedings of 2021 IEEE International Conference on Robotics and Automation (IEEE ICRA), Xi’an, China, pp. 13784-13790, May 30-June 5, 2021. (机器人领域旗舰会议)
[54]Yanjie Zhou, Shiqi Liu, Xiaoliang Xie, Xiaohu Zhou, Zengguang Hou*, Ruiqi Li, Zhenliang Ni, and Chenchen Fan, “A dual-stream architecture for real-time morphological analysis of aneurysm in robot-assisted minimally invasive surgery,” in Proceedings of 2022 IEEE International Conference on Robotics and Automation (IEEE ICRA), Philadelphia, USA, pp. 2686-2692, May 23-27, 2022. (机器人领域旗舰会议)
[55]Yanjie Zhou, Xiaoliang Xie, Zengguang Hou*, Guibin Bian, Shiqi Liu, and Xiaohu Zhou, “FRR-Net: fast recurrent residual networks for real-time catheter segmentation and tracking in endovascular aneurysm repair,” in Proceedings of International Symposium on Biomedical Imaging (ISBI), Iowa city, USA, pp. 961-964, April 3-7, 2020.  
[56]Yanjie Zhou, Xiaoliang Xie, Guibin Bian, Zengguang Hou*, Yudong Wu, Shiqi Liu, Xiaohu Zhou, and Jiaxing Wang, “Fully automatic dual-guidewire segmentation for coronary bifurcation lesion,” in Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, N-19577, July 14-19, 2019.  
[57]Yanjie Zhou, Xiaoliang Xie, Guibin Bian, Zengguang Hou*, Bao Liu, Zhichao Lai, Xinkai Qu, Shiqi Liu, and Xiaohu Zhou, “Real-time guidewire segmentation and tracking in endovascular aneurysm repair,” in Proceedings of 2019 International Conference on Neural Information Processing (ICONIP), Sydney, Australia, pp. 491-500, December 12-15, 2019.
[58]Jianlong Hao, Guibin Bian, Zengguang Hou*, and Xiaohu Zhou, “Development of a multi-modal interactive system for endoscopic endonasal approach surgery simulation,” in Proceedings of IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Qingdao, China, pp. 143-148, December 3-7, 2016.  
[59]Jianlong Hao, Guibin Bian, Xiaoliang Xie, Zengguang Hou*, and Xiaohu Zhou, “A 3-DOF compact haptic interface for endoscopic endonasal approach surgery simulation,” in Proceedings of 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Banff, Canada, pp. 136-141, July 12-15, 2016.
[60]Linsen Zhang, Shiqi Liu, Xiaoliang Xie, Xiaohu Zhou, Zengguang Hou*, Yanjie Zhou, Hanlin Zhao, and Meijiang Gui, “An improved networked predictive controller for vascular robot using 5G networks,” in Proceedings of 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Virtual Conference, pp. 4674-4678, October 31-November 4, 2021.
[61]Hanlin Zhao, Shiqi Liu, Xiaohu Zhou, Xiaoliang Xie*, Zengguang Hou, Yanjie Zhou, Linsen Zhang, Meijiang Gui, and Jinli Wang, “Design and performance evaluation of a novel vascular robotic system for complex percutaneous coronary interventions,” in Proceedings of 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Virtual Conference, pp. 4679-4682, October 31-November 4, 2021.  
[62]Xiyao Ma, Shiqi Liu, Xiaoliang Xie, Xiaohu Zhou, Zengguang Hou*, Yanjie Zhou, Meng Song, Linsen Zhang, and Chaonan Wang, “DSP-Net: deeply-supervised pseudo-siamese network for dynamic angiographic image matching,” in Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Online, pp. 44-53, September 17, 2022.
[63]Xiyao Ma, Shiqi Liu, Xiaoliang Xie, Xiaohu Zhou, Zengguang Hou*, Xinkai Qu, Wenzheng Han, Min Wang, Meng Song, and Linsen Zhang, “Towards flexible and universal: a novel endpoint-based framework for vessel structural information extraction,” in Proceedings of the 31st ACM International Conference on Multimedia, Ottawa, ON, Canada, pp. 2035-2044, October 29-November 3, 2023.
[64]Meng Song, Shiqi Liu, Xiaoliang Xie*, Xiaohu Zhou, Zengguang Hou, Yanjie Zhou, and Xiyao Ma, “A novel fusion network for morphological analysis of common iliac artery,” in Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Online, pp. 54-63, September 17, 2022.
[65]Bo Zhang, Shiqi Liu, Xiaoliang Xie, Xiaohu Zhou, Zengguang Hou*, Meng Song, Xiyao Ma, and Linsen Zhang, “Towards automated segmentation of human abdominal aorta and its branches using a hybrid feature extraction module with LSTM,” in Proceedings of International Conference on Neural Information Processing (ICONIP), IIT Indore, India, November 22-26, 2022.  
[66]Haining Zhao, Tao Wang, Shiqi Liu*, Xiaoliang Xie*, Xiaohu Zhou, Zengguang Hou, Liqun Jiao, Yan Ma, Ye Li, Jichang Luo, Jia Dong, and Bairu Zhang, “An effective morphological analysis framework of intracranial artery in 3D digital subtraction angiography,” The 2023 29th International Conference on Neural Information Processing (ICONIP 2023), Changsha, China, pp. 50-61, November 20-23, 2023.
[67]He Liu, Shiqi Liu, Xiaoliang Xie, Ye Li, Xiaohu Zhou, Zhenqiu Feng, Guotao Li, Xiyao Ma, Zengguang Hou, Yongyi Yuan, Yong Cui, Yuhong Tian, and Pu Dai, “An original design of robotic-assisted flexible nasotracheal intubation system,” in Proceedings of the 2023 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Samui, Thailand, pp. 143-148, December 4-9, 2023. (Best Student Paper Award)
[68]Wentao Wang, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Dexing Huang, Hao Li, Tianyu Xiang, and Zengguang Hou*, “MFEDA-Net multi-scale feature extraction and depthwise attention network for accurate carotid artery segmentation,” in Proceedings of International Conference on Biomimetic, Intelligence and Robots (ICBIR), Zunyi, China, pp. 1-7, July 25-28, 2023. (Corresponding author)
[69]Dexing Huang, Xiaohu Zhou*, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Zengguang Hou*, Ning Ma, and Long Yan, “Real-time 2D/3D registration via CNN regression and centroid alignment,” IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2023.3345927, 2023. (Corresponding author)
[70]Chenchen Fan, Hongjun Yang, Liang Pen, Xiaohu Zhou, Sheng Chen, and Zengguang Hou*, “TR-TransGAN: temporal recurrent transformer generative adversarial network for longitudinal MRI dataset expansion,” IEEE Transactions on Cognitive and Developmental Systems, DOI: 10.1109/TCDS.2023.3345922, 2023.
[71]Xiaohu Zhou, Guibin Bian, Xiaoliang Xie, and Zengguang Hou*, “A hidden Markov recognition model for PCI manipulations”, in Proceedings of 2017 ICME International Conference of Complex Medical Engineering (CME), Shenzhen, China, November 22-26, 2017. (最佳论文提名奖)
[72]李英田, 童鑫, 陈星宇, 莫菲, 孙众卿, 高兴, 王磊, 周小虎*, “适应性气管支架植入机器人系统设计与验证,” 机械工程学报, 2023. (通讯作者)

1. 亚太神经网络学会 (APNNS) 青年学者奖 (Young Researcher Award)，2023
2. 中国科学院院长特别奖，2019
3. 中国科学院青年创新促进会会员，2020
4. 中国人工智能学会“优秀博士学位论文奖”，2020
5. 中国自动化学会“优秀博士学位论文奖”，2020
6. 中国科学院“特别骨干岗位”人才，2023
7. 中国科学院脑科学与智能技术卓越创新中心青年人才，2020
8. ICBIR 2023 “Best Paper in Medical Robotics”
9. IEEE RCAR 2022/2023 “Best Paper”
10. ROBIO 2023 “Best Student Paper Award”
11. IEEE ICRA 2020 “Best Paper in Medical Robotics-Finalists”

[1] Guibin Bian, Zengguang Hou, Xiaoliang Xie, Long Cheng, Min Tan, Zhenqiu Feng, and Xiaohu Zhou, Catheter or guide wire manipulating device for vascular intervention, 2017-08-15至2037-08-15, USA, US9731096B2.
[2] Zengguang Hou, Guibin Bian, Xiaoliang Xie, Long Cheng, Min Tan, Zhenqiu Feng, and Xiaohu Zhou, Catheter or guide wire manipulating device with two-point-clamping for vascular intervention, 2019-04-09至2039-04-09, USA, US10252029B2.
[3] Xiaoliang Xie, Zengguang Hou, Lingwu Meng, Zhenqiu Feng, Xiaohu Zhou, and Shiqi Liu, Vascular interventional instrument control device with double guide wire or balloons, 2021-10-26至2041-10-26, USA, US11154689B2.
[4] 周小虎，刘市祺，谢晓亮，侯增广，王晋利，桂美将，李浩，奉振球，孟令武，张林森，血管介入器械搓捻装置及方法，授权专利号：ZL202111235746.7，授权公告日：2022-09-27
[5] 周小虎，刘市祺，谢晓亮，侯增广，王晋利，桂美将，李浩，奉振球，孟令武，赵含霖，血管介入器械推送装置及方法，授权专利号：ZL202111234034.3，授权公告日：2023-11-17
[6] 周小虎，侯增广，桂美将，谢晓亮，刘市祺，奉振球，周彦捷，孟令武，李浩，基于仿生结构的力信息采集装置、系统及方法，授权专利号：ZL202110605003.8，授权公告日：2022-09-06
[7] 周小虎，侯增广，桂美将，谢晓亮，刘市祺，奉振球，李芮麒，倪振梁，赵含霖，应用于血管介入手术的力检测系统及方法，授权专利号：ZL202110605016.5，授权公告日：2022-12-06
[8] 谢晓亮，周小虎，刘市祺，侯增广，一种Y阀锁紧装置及导向装置，授权专利号：ZL202110159903.4，授权公告日：2022-06-06
[9] 谢晓亮，周小虎，刘市祺，侯增广，一种介入手术递送装置，授权专利号：ZL202110988669.6，授权公告日：2023-04-21
[10 ]边桂彬，侯增广，周小虎，谢晓亮，奉振球，郝剑龙，王莉，高占杰，一种血管介入手术操作采集装置及方法，授权专利号：ZL201610266715.0，授权公告日：2018-05-18
[11] 刘市祺，谢晓亮，周小虎，侯增广，周彦捷，马西瑶，基于X光图像的导丝分割和尖端点定位方法、系统和装置，授权专利号：ZL202011325897.7，授权公告日：2021-06-25
[12] 刘市祺，谢晓亮，周小虎，侯增广，曲新凯，韩文正，周彦捷，马西瑶，基于双流边界感知的动脉瘤图像分析系统、方法和设备，授权专利号：ZL202110048844.3，授权公告日：2022-02-08
[13] 刘市祺，谢晓亮，周小虎，侯增广，周彦捷，血管介入手术中介入器械端点实时定位系统、方法、装置，授权专利号：ZL202011325869.5，授权公告日：2021-06-29
[14] 刘市祺，谢晓亮，周小虎，侯增广，刘暴，来志超，王超楠，周彦捷，马西瑶，基于多任务算法的实时多器械分割方法和系统，授权专利号：ZL202110815335.9，授权公告日：2022-03-25
[15] 刘市祺，谢晓亮，周小虎，侯增广，刘暴，来志超，张勃，用于血管内动脉瘤手术的血管配准方法、系统和装置，授权专利号：ZL202011161676.0，授权公告日：2022-08-16
[16] 边桂彬，侯增广，周小虎，谢晓亮，奉振球，郝剑龙，王莉，高占杰，一种血管介入手术送丝机构的人机交互装置、系统及方法，授权专利号：ZL201610266180.7，授权公告日：2021-12-24
[17] 刘市祺，谢晓亮，侯增广，奉振球，周小虎，周彦捷，曲新凯，马西瑶，血管介入器械操控装置，授权专利号：ZL202010389069.3，授权公告日：2021-08-31
[18] 边桂彬，侯增广，郝剑龙，谢晓亮，周小虎，彭龙，奉振球，一种三自由度触力觉交互系统及触力觉交互装置，授权专利号：ZL201510837411.0，授权公告日：2018-05-04
[19] 谢晓亮，侯增广，孟令武，奉振球，周小虎，刘市祺，陈弈楠，双导丝或球囊的血管介入器械操控装置，授权专利号：ZL201910887426.6，授权公告日：2020-06-12
[20] 谢晓亮，侯增广，周彦捷，边桂彬，周小虎，刘市祺，奉振球，导丝操控手柄，授权专利号：ZL201910778269.5，授权公告日：2021-04-20
[21] 侯增广，孟令武，谢晓亮，刘市祺，周小虎，面向CTO病变的新型血管介入装置及主动开通器械，授权专利号：ZL202110517426.4，授权公告日：2023-10-31
[22] 刘市祺，谢晓亮，侯增广，周彦捷，奉振球，周小虎，马西瑶，血管内动脉瘤修复手术的介入器械检测方法、系统及装置，授权专利号：ZL202010546847.5，授权公告日：2021-11-09
[23] 刘市祺，谢晓亮，侯增广，周彦捷，奉振球，周小虎，马西瑶，基于双注意力机制的血管内支架图像分割方法和系统，授权专利号：ZL202010859488.9，授权公告日：2021-07-30
[24] 刘市祺，谢晓亮，侯增广，曲新凯，韩文正，周小虎，马西瑶，周彦捷，基于两阶段CNN的X射线血管造影图像匹配方法和系统，授权专利号：ZL202110772730.3，授权公告日：2022-03-11
[25] 谢晓亮，侯增广，王巧利，边桂彬，周彦捷，周小虎，刘市祺，血管介入手术机器人的导管递送装置, 授权专利号：ZL201910614679.6，授权公告日：2020-06-30
[26] 谢晓亮，侯增广，高占杰，边桂彬，奉振球，郝剑龙，王莉，周小虎，程笑冉，一种针对虚拟微创血管介入手术的导丝建模方法，授权专利号：ZL201610404708.2，授权公告日：2018-12-21
[27] 刘市祺，来志超，王超楠，宋猛，谢晓亮，周小虎，侯增广，马西瑶，张林森，刘暴，用于多分段血管实时自动分割方法、装置、设备及介质，授权专利号：ZL202310446004.1，授权公告日：2023-12-08
[28] 刘市祺，关韶峰，韩文正，马西瑶，谢晓亮，周小虎，侯增广，曲新凯，王鸣，血管结构信息提取方法、装置及存储介质，授权专利号：ZL202310801739.1，授权公告日：2023-12-26
[29] 谢晓亮，周小虎，刘市祺，介入手术递送装置及递送系统，申请号：CN202110215666.9
[30] 刘市祺，侯增广，谢晓亮，边桂彬，周小虎，周彦捷，医疗器械图像检测方法及装置，申请号：CN201911288468.4
[31] 刘市祺，谢晓亮，侯增广，周彦捷，奉振球，周小虎，马西瑶，用于血管动脉瘤介入手术导航系统的导管检测方法及系统，申请号：CN202010546190.2
[32] 刘市祺，谢晓亮，侯增广，刘暴，来志超，周彦捷，周小虎，马西瑶, 基于金字塔形注意力循环网络的手术介入器械追踪方法，申请号：CN202010858840.7  
[33] 周小虎，项天宇，刘市祺，谢晓亮，奉振球，侯增广，姚泊先，黄德兴，于喆，李浩，桂美将，基于低分辨率单目相机的步态量化方法及装置，申请号：CN202211643838.3
[34] 周小虎，项天宇，刘市祺，谢晓亮，奉振球，侯增广，姚泊先，黄德兴，于喆，李浩，桂美将，一种用于远程医疗场景下的运动步态分析方法及系统，申请号：CN202310004885.1
[35] 周小虎，姚泊先，谢晓亮，刘市祺，奉振球，侯增广，桂美将，李浩，项天宇，于喆，导丝导管递送装置和血管介入手术机器人，申请号：CN202211551925.6
[36] 周小虎，谢晓亮，李浩，刘市祺，奉振球，侯增广，桂美将，项天宇，于喆，黄德兴，介入手术的操作方法、装置、设备和存储介质，申请号：CN202211329875.7
[37] 周小虎，陶可欣，谢晓亮，刘市祺，李芮麒，奉振球，侯增广，项天宇，冠脉血管分割方法、装置、电子设备及存储介质，申请号：CN202211515553.1
[38] 周小虎，陶可欣，谢晓亮，刘市祺，李芮麒，奉振球，侯增广，于喆，李思远，张鑫，多导丝端点定位模型建立方法和多导丝端点定位模型，申请号：CN202211393972.2
[39] 周小虎，谢晓亮，陶可欣，刘市祺，李芮麒，奉振球，侯增广，项天宇，目标定位方法、装置、电子设备及存储介质，申请号：CN202211516138.8
[40] 周小虎，谢晓亮，陶可欣，刘市祺，李芮麒，奉振球，侯增广，李浩，黄德兴，姚泊先，血管宽度估计模型建立方法和血管宽度估计模型，申请号：CN202211295057.X
[41] 周小虎，黄德兴，谢晓亮，刘市祺，奉振球，侯增广，桂美将，李浩，项天宇，于喆，一种基于卷积神经网络回归与质心对齐的2D/3D影像配准方法，申请号：KHP221128051.2
[42] Xiaohu Zhou, Zengguang Hou, Meijiang Gui, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Yanjie Zhou, Lingwu Meng, Hao Li, Device, system and method for acquiring force information based on bionic structure, USA, Appl. No. : US20220379490