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周雨熙




姓    名周雨熙

职    称讲师

导师类型硕士生导师

电子邮箱joy_yuxi@pku.edu.cn; yxz@email.tjut.edu.cn

办公地点:7-314A

研究方向:人工智能、智慧医疗、计算机视觉

2021.10-今     清华大学  博士后(助理教授)

2016.9-2021.1   北京大学  博士

2013.10-2016.9   云南省人民政府研究室 副主任科员

2013.7-2013.8   红云红河集团  研发工程师

2011.9-2013.6   北京大学  硕士

(1)国家自然基金青年项目——复杂条件下的可适配健康状态感知决策支持方法研究,2023-2025,主持,在研;

(2)天津市自然基金青年项目——复杂医疗场景下骨关节炎的智能诊断与临床风险预测预警研究,2021-2023,主持,结题;

(3)国家自然基金重大集成项目——面向航空制造的人-机器人协作技术及应用研究,2021-2024,参与,在研;

(4)国家科技部-科技创新2030重大项目——复杂医疗场景的人机协同模型与医务人员操作流程优化,2021-2023,参与,结题;

(5)国家自然基金面上项目——大场景开放世界目标跟踪中视觉知识学习关键技术研究,2024-2026,参与,在研;

(6)天津市自然基金面上项目——目标跟踪中视觉知识的获取、学习及协同,2023-2025,参与,在研;

(7)国家技术创新特区项目——设备数据的机器学习算法,2017-2018,参与,结题;

(8)国家“核高基”重大项目——非结构化数据管理,2011-2012,参与,结题。



代表性论文

(1)Yuxi Zhou *, Xiujie Wang, Jianhua Zhang, et al. Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution[C] // AAAI, 2024, 38(7): 7713-7721. (CCF-A类人工智能国际顶会)

(2)Jun Lei, Yuxi Zhou *, Tian Xue, et al. A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm[J]. Biomedical Signal Processing and Control, 2024. (SCI 1区, 影响因子:4.9)

(3)Qingyu Yao, Zhang L, Wenguang Zheng *, Yuxi Zhou *, et al. Multi-scale SE-residual network with transformer encoder for myocardial infarction classification[J]. Applied Soft Computing, 2023, 149: 110919. (SCI 1区, 影响因子:7.2)

(4)Chenyang Xu, Xin Li, Yuxi Zhou *, etc. Risk analysis of pathological diseases and cardiac murmur based on heterogeneous modal adaptive multitasking learning [J]. Health Information Science and Systems, 2023, 12(1): 2. (SCI 2区, 影响因子:4.7)

(5)Yaoming Wang, Chenzhe Jin, Yuxi Zhou *, Shenda Hong. Deep Learning-Based Detection of Obstructive Sleep Apnea through Combined ECG and ECG-Derived Respiration Signals[J], Health Data Science, 2023. (Science合作新期刊)

(6)Shenda Hong, Wenrui Zhang, Chenxi Sun, Yuxi Zhou, Hongyan Li. Practical Lessons on 12-Le ad ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge[J], Frontiers in Physiology, 2022, 12: 811661.  (SCI 2区, 影响因子:3.2)

(7)Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng. Learning optimal treatment strategies for sepsis using offline reinforcement learning in continuous space[J]//Health Information Science and Systems, 2022: 113-124. (SCI 2区, 影响因子:4.7)

(8)Yuxi Zhou, Shenda Hong, etc. A ddressing Noise and Skewness in Interpretable Health-condition Assessment by Learning Model Confidence[J], Sensors, 2020, 20(24): 7307.  (SCI 2区, 影响因子:3.4)

(9)Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao and Jimeng Sun. Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review[J]. Computers in Biology and Medicine, 2020, 122: 103801.  (SCI 1区, 影响因子:7)

(10)Yuxi Zhou, Shenda Hong, Meng Wu, Junyuan Shang, Qingyun Wang, Junqing Xie, Hongyan Li. K-margin-based Residual-convolution-recurrent Neural Network for Atrial Fibrillation Detection[C]. IJCAI, 2019: 6057–6063. (CCF-A类人工智能国际顶会)

(11)Shenda Hong, Yuxi Zhou, Meng Wu, Qingyun Wang, Junyuan Shang, Hongyan Li and Junqing Xie. Combining Deep Neural Networks and Engineered Features for Cardiac Arrhythmia Detection from ECG Recordings[J]. Physiological Measurement, 2019 , 40(5): 054009.  (SCI 2区, 影响因子:4.7)

(12)Chou Yanxiu, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li. Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data[J]. Neurocomputing, 2020, 417: 64-73.  (SCI 2区, 影响因子:5.5)

(13)Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu and Hongyan Li. Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction[C]. Asian Conference on Machine Learning (ACML), 2018: 831–846. (CCF-C类人工智能国际会议)

(14)Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie. ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks[C]. IEEE Computing in Cardiology, 2017:1-4.



(1)2022年10月获得国际会议HDIS 2022 Outstading Service Award

(2)2021年1月获得北京市优秀毕业生荣誉称号、北京大学优秀毕业生荣誉称号                  

(3)2019年12月获国家奖学金、北京大学三好员工荣誉称号、北京大学学术创新奖        

(4)2019年6月获得人工智能国际顶会IJCAI 2019 travel grants

(5)2018年12月获得北京大学专项奖学金

(6)2018年10月获北京大学信科院优秀共产党员荣誉称号    

(7)2013年6月获得北京大学优秀毕业生荣誉称号  

(8)2012年12月获北京大学五四奖学金


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