研究方向Research Directions 医学大数据分析与建模 2. 机电结构优化与控制 研究内容：在对机电结构进行分析和优化的基础上，运用控制理论进行结构参数的调整，使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容：以仿生结构为研究对象，运用连续体结构拓扑优化设计理论和方法，对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容：在对机电结构进行分析和优化的基础上，运用控制理论进行结构参数的调整，使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容：以仿生结构为研究对象，运用连续体结构拓扑优化设计理论和方法，对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。 研究成果 [1] Hua Xing, Xiaojie Su, Yushan Liu, Yang Chen, Yubin Ju,Zhiran Kang, Wuquan Sun, Fei Yao, Lijun Yao∗, Li Gong∗. Prediction of knee joint pain in Tai Chi practitioners: across-sectional machine learning approach. BMJ Open, 2023, 13(8):e067036. (∗共通讯)[2] Lijun Yao,Ziyi Wang, Hong Gu, Xudong Zhao, Yang Chen, Liang Liu. Prediction of Chinese clients' satisfaction withpsychotherapy by machine learning. Frontiers inPsychiatry, 2023, 14: 947081.[3] Lijun Yao, ZhiweiXu, Xudong Zhao, Yang Chen, Liang Liu, Xiaoming Fu, Fazhan Chen. Therapists andPsychotherapy Side Effects in China: A Machine Learning-based Study. Heliyon.2022, 8(11): e11821.[4] Lijun Yao, Xudong Zhao, Zhiwei Xu, Yang Chen, Liang Liu, Qiang Feng,Fazhan Chen. Influencing factors and machine learning-based prediction of sideeffects in psychotherapy. Frontiers in Psychiatry, 2020, 11:537442.[5] Yi Guo, Yushan Liu, Wenjie Ming, Zhongjin Wang, Junming Zhu,Yang Chen, Lijun Yao∗, Meiping Ding, Chunhong Shen∗.Distinguishing focal cortical dysplasia from glioneuronal tumors in patientswith epilepsy by machine learning. Frontiers in Neurology. 2020,11:548305. (∗共通讯)[6] Lijun Yao∗, Mengting Cai, Yang Chen, Chunhong Shen, Lei Shi,Yi Guo∗. Prediction of antiepileptic drug treatmentoutcomes of newly diagnosed epileptic patients by machine learning. Epilepsy & Behavior. 2019, 96:92-97.(∗共通讯)[7] Lijun Yao, Takeshi Sakaba. Activity-dependent modulation ofendocytosis by calmodulin at a large central synapse. Proceedings of theNational Academy of Sciences. 2012, 109 (1): 291-296.[8] Lijun Yao,Takeshi Sakaba. cAMP modulates intracellular Ca2+ sensitivity offast-releasing synaptic vesicles at the calyx of Held synapse. Journal ofNeurophysiology. 2010, 104(6): 3250-3260. 学生信息 当前位置：教师主页 > 学生信息 入学日期 所学专业 学号 学位 招生信息 当前位置：教师主页 > 招生信息 招生学院 招生专业 研究方向 招生人数 推免人数 考试方式 招生类别 招生年份
