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Wenli Zhang，博士 - 常春藤商学院
● Predicting Consultation Success in Online Health Platforms Using Dynamic Knowledge Networks and Multimodal Data Fusion, University of Arizona, 2024 ● Predicting Consultation Success in Online Health Platforms Using Dynamic Knowledge Graphs and Multimodal Data Fusion, Summer Workshop on AI for Business (SWAIB), Shanghai, China, 2024 ● Achieving Equitable Access to Medical Laboratory Tests through Optimal Sparse Decision Tree, IISE Annual Conference & EXPO，加拿大蒙特利尔，2024●使用多模式和多通道多通道的多渠道综合语音术数据，IISE年度会议和博览会，加拿大蒙特利尔，2024年，患者辍学的预测：一种多模式的动态知识和文本矿业，IC Science，IC Scorial，IC Scorial，IC Science，IC Science，IC Scorial，IC Scorial，IC Sciencal，Arona social IC， Real-Time Signals with Wavelet-Transform-based Convolutional Neural Network, in: Proceedings of the 54 th Hawaii International Conference on System Sciences (HICSS), Hawaii, USA, 2023 ● Depression Detection in Social Media Using Time-and-knowledge-aware LSTM and Depression Diagnosis-related Entity Extraction, FoRMLA - Front Range of Machine Learning Alliance Seminar Series, University of Colorado, 2022 ● ICU Mortality预测：我们可以做得更好吗？一个基于机器学习和随机信号分析技术的新模型，爱荷华州立大学，2021●域●领域适应从大型社交媒体数据集中提取信号的域名，爱荷华州立大学，2018年，对哮喘的风险因素的全面分析：基于机器学习和机器学习和大型异构数据源的疾病，及其在jossection和sysport of Systems of Systems的疾病和分析的信息， Management, UT Dallas, 2018 ● A Machine Learning Approach for Understanding Population-Level Health Effects of E-Cigarettes, Conference on Health IT and Analytics (CHITA), 2017 ● Are Electronic Nicotine Delivery Systems (ENDS) a Safe Substitute for Cigarettes Among Asthma Patients: A Social Media Based Analysis, INFORMS Annual Meeting, Houston, Texas, USA, 2017 ● Domain Adaptation for Signal Extraction from Large Social Media Datasets, the INFORMS Conference on Information Systems and Technology (CIST), Houston, Texas, USA, 2017 ● Are Electronic Cigarettes a Safer Substitute for Cigarettes for Asthma Patients, Workshop on Information Technologies and Systems (WITS), Seoul, South Korea, 2017 ● A Comprehensive Analysis of Risk Factors for Asthma: Based on Machine Learning and Large Heterogeneous Data Sources, Iowa State University, 2017 ● Extracting Signals from Social Media for Chronic Disease监视，国际数字健康会议（DigitalHealth'16），蒙特利尔，加拿大魁北克，2016年●社交媒体上有关电子烟的关键对话趋势和模式，信息会议，田纳西州纳什维尔，田纳西州，2016年，2016年
Tairan He
CONFERENCE PROCEEDiNGS [C15] HOVER: Versatile Neural Whole‑Body Controller for Humanoid Robots.Tairan He*, WenliXiao*, ToruLin, ZhengyiLuo, ZhenjiaXu, ZhenyuJiang, JanKautz, ChangliuLiu, GuanyaShi, Xiaolong Wang, Linxi “Jim” Fan † , Yuke Zhu † ICRA , 2025 [Paper] [C14] OmniH2O: Universal and Dexterous Human‑to‑Humanoid Whole‑Body Teleoperation and Learning.Tairan He*, Zhengyi Luo*, Xialin He*, Wenli Xiao, Chong Zhang, Kris Kitani, Weinan Zhang, Changliu Liu, Guanya Shi.CoRL , 2024 [Paper] [C13] WoCoCo: Learning Whole‑Body Humanoid Control with Sequential Contacts.Chong Zhang*, Wenli Xiao*, Tairan He, Guanya Shi.CoRL ( Oral ), 2024 [Paper] [C12] Learning Human‑to‑Humanoid Real‑Time Whole‑Body Teleoperation.Tairan He*, Zhengyi Luo*, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi IROS , 2024 ( Oral ) [Paper] [C11] Progressive Adaptive Chance‑Constrained Safeguards for Reinforcement Learning.Zhaorun Chen, Binhao Chen, Tairan He, Liang Gong, Chengliang Liu.IROS , 2024 [Paper] [C10] Agile But Safe: Learning Collision‑Free High‑Speed Legged Locomotion.Tairan He*, Chong Zhang*, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi.RSS , 2024 ( Outstanding Student Paper Award Finalist ‑ Top 3 ) [Paper] [C9] Safe Deep Policy Adaptation.Wenli Xiao*, Tairan He*, John Dolan, Guanya Shi.ICRA , 2024 [Paper] [C8] State‑wise Safe Reinforcement Learning: A Survey.Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu.IJCAI (Survey Track) , 2023.[Paper] [C7] Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models.
CAMB-5110-Syllabus-2024.pdf
课程教师：Juan Alvarez，Juan.alvarez@pennmedicine.upen.upen.edu Montserrat Anguish Anguish anguish@vet.upen.upen.edu Joel Boetckel，boetckel@pennmedicine.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.up dan.up kesser.up kesspern.up，kpern.up，kpern.up， klein，pklein@pennmedicine.upen.upen.edu chris lengner，lengner@vet.upen.upen.edu mustafa mir，mirm@chop.edu andrew andrew andrew andrew andus and amodz@vet.upenn.upenn.upen.upen.upen.upen.edu fayeeemerkioti plachta，nicolas.plachta@pennmedicine.upen.upen.edu bushra raj，bushra.raj@pennmedicine.upen.upen.upen.upen.upen.edu Meera，星期日，周日Wenli Yang，@Penmadicine.upenn.upenn.edu课程教师：Juan Alvarez，Juan.alvarez@pennmedicine.upen.upen.edu Montserrat Anguish Anguish anguish@vet.upen.upen.edu Joel Boetckel，boetckel@pennmedicine.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.upen.up dan.up kesser.up kesspern.up，kpern.up，kpern.up， klein，pklein@pennmedicine.upen.upen.edu chris lengner，lengner@vet.upen.upen.edu mustafa mir，mirm@chop.edu andrew andrew andrew andrew andus and amodz@vet.upenn.upenn.upen.upen.upen.upen.edu fayeeemerkioti plachta，nicolas.plachta@pennmedicine.upen.upen.edu bushra raj，bushra.raj@pennmedicine.upen.upen.upen.upen.upen.edu Meera，星期日，周日Wenli Yang，@Penmadicine.upenn.upenn.edu
人口过渡，工业政策和中文...
* Michael Dotsey和Wenli Li：费城联邦储备银行研究部（Michael.dotsey@phil.frb.org; wenli.li@phil.frb.org）。fang Yang：达拉斯联邦储备银行研究部（fang.yang@dal.frb.org）。We thank Tao Zha, Xiaodong Zhu, Loren Brandt, Jonathan Heathcote, Mariacristina De Nardi, Marco Bassetto, Todd Schoellman, Lance Lochner, Kei-Mu Yi, Kaiji Chen, Hui He, Kai Zhao, Kian Ong, and other seminar participants at the Minneapolis Fed, Society of Economic Dynamics 2019会议，亚洲计量学会，2019年夏季会议，欧洲计量学会2019夏季会议，加拿大第五届加拿大 - tsinghua pbcsf pbcsf-多伦多中国经济会议，第四届国际货币基金组织中国国际货币基金组织，第四届IMF FRBA中国研讨会，第12乔治华盛顿大学华盛顿大学第12届乔治华盛顿大学年度大会在中国经济发展和美国国际联盟，梅斯特·梅斯特·梅斯特·梅斯特，梅斯特·米斯特·米斯特，梅斯特，consic，cons con。 2023年南方经济协会会议有用的评论。免责声明：本文所表达的观点仅是作者的观点，不一定反映了达拉斯联邦储备银行，费城联邦储备银行或美联储系统的意见。任何错误或遗漏都是作者的责任。
回顾性鉴定标记稀有体细胞多能性潜能的细胞内在因素
Naveen Jain, 1 Yogesh Goyal, 2 , 3 , 4 , 5 Margaret C. Dunagin, 5 Christopher J. Cote, 5 Ian A. Mellis, 6 Benjamin Emert, 6 Connie L. Jiang, 1 Ian P. Dardani, 5 Sam Reffsin, 5 Miles Arnett, 5 Wenli Yang, 7 , 8 , 9 和 Arjun Raj 5 , 10 , 11 ,* 1 宾夕法尼亚大学佩雷尔曼医学院细胞与分子生物学研究生组遗传学与表观遗传学项目，宾夕法尼亚州费城 19104，美国 2 西北大学范伯格医学院细胞与发育生物学系，伊利诺伊州芝加哥 60611，美国 3 西北大学合成生物学中心，伊利诺伊州芝加哥 60611，美国 4 范伯格医学院 Robert H. Lurie 综合癌症中心西北大学医学院，伊利诺伊州芝加哥 60611，美国 5 宾夕法尼亚大学工程与应用科学学院生物工程系，宾夕法尼亚州费城 19104，美国 6 宾夕法尼亚大学佩雷尔曼医学院基因组学和计算生物学研究生组，宾夕法尼亚州费城 19104，美国 7 宾夕法尼亚大学医学系，宾夕法尼亚州费城，美国 8 宾夕法尼亚大学再生医学研究所，宾夕法尼亚州费城 19104，美国 9 宾夕法尼亚大学佩雷尔曼医学院宾夕法尼亚心血管研究所，宾夕法尼亚州费城 19104，美国 10 宾夕法尼亚大学佩雷尔曼医学院遗传学系，宾夕法尼亚州费城 19104，美国 11 主要联系人 *通信地址：arjunrajlab@gmail.com https://doi.org/10.1016/j.cels.2024.01.001