XiaoMi-AI文件搜索系统
World File Search SystemLuo
CDK12损失驱动前列腺癌的进展，转录复制冲突和旁系同源性CDK13
Jean Ching-Yi Tien, 1,2 Jie Luo, 1,2,14 Yu Chang, 1,2,14 Yuping Zhang, 1,2,14 Yunhui Cheng, 1,2,14 Xiaoju Wang, 1,2 Jianzhang Yang, 3,4 Rahul Mannan, 1,2 Somnath Mahapatra, 1,2 Palak Shah, 1,2 Xiao-Ming Wang, 1,2 Abigail J. Todd, 1,2 Sanjana Eyunni, 1,2 Caleb Cheng, 1 Ryan J. Rebernick, 1,2 Lanbo Xiao, 1,2 Yi Bao, 1,2 James Neiswender, 5 Rachel Brough, 5 Stephen J. Pettitt, 5 Xuhong Cao, 1,2 Stephanie J.), arul@med.umich.edu (A.M.C.)https://doi.org/10.1016/j.xcrm.2024.101758
电磁材料和跨膜的路线图
Tie Jun Cui 1 , Shuang Zhang 2 , Andrea Alù 3 , Martin Wegener 4 , Sir John Pendry 5 , Jie Luo 6 , Yun Lai 7 , Zuojia Wang 8 , Xiao Lin 8 , Hongsheng Chen 8 , Ping Chen 7 , Rui-Xin Wu 7 , Yuhang Yin 9 , Pengfei Zhao 9 , Huanyang Chen 9 , Yue Li 10 , Ziheng Zhou 10 , Nadar Engheta 11 , Viktar Asadchy 12 , Constantin Simovski 13 , Sergei Tretyakov 13 , Biao Yang 14 , Sawyer D. Campbell 15 , Yang Hao 16 , Douglas H. Werner 15 , Shulin Sun 17 , Lei Zhou 17 , Su Xu 18 , Hong-Bo Sun 10 , Zhou Zhou 19 , Zile Li 19 , Guoxing Zheng 19 , Xianzhong Chen 20 , Tao Li 7 , Shining Zhu 7 , Junxiao Zhou 21 , Junxiang Zhao 21 , Zhaowei Liu 21 , Yuchao Zhang 22 , Qiming Zhang 22 , Min Gu 22 , Shumin Xiao 23 , Yongmin Liu 24 , Xianzhe Zhang 24 , Yutao Tang 25 , Guixin Li 25 , Thomas Zentgraf 26 , Kirill Koshelev 27, Yuri Kivshar 28 , Xin Li 29 , Trevon Badloe 30 , Lingling Huang 29 , Junsuk Rho 30 , Shuming Wang 7 , Din Ping Tsai 31 , A. Yu.Bykov 32 , A.V.Krasavin 32 , A.V.Zayats 32 , Cormac McDonnell 33 , Tal Ellenbogen 33 , Xiangang Luo 34 , Mingbo Pu 34 , Francisco J. Garcia-Vidal 35 , Liangliang Liu 36 , Zhuo Li 36 , Wenxuan Tang 1 , Hui Feng Ma 1 , Jingjing Zhang 1 , Yu Luo 37 , Xuanru Zhang 1 , Hao Chi Zhang 1 , Pei Hang He 1 , Le Peng Zhang 1 , Xiang Wan 1 , Haotian Wu 1 , Shuo Liu 1 , Wei Xiang Jiang 1 , Xin Ge Zhang 1 , Cheng-Wei Qiu 38 , Qian Ma 1 , Che Liu 1 , Long Li 39 , Jiaqi Han 39 , Lianlin Li 40 , Michele Cotrufo 3 , C. Caloz 41 , Z.-L. Deck-Léger 41 , A. Bahrami 41 , O. Céspedes 41 , E. Galiffi 3,5 , P. A. Huidobro 42 , Qiang Cheng 1 , Jun Yan Dai 1 , Jun Cheng Ke 1 , Lei Zhang 1 , Vincenzo Galdi 43 , Marco Di Renzo 44 1 - Southeast University, Nanjing 210096, China 2 - The University of Hong Kong, China 3 - City University of New York, United States of America 4 - Karlsruhe Institute of Technology, Germany 5 - Imperial College London, United Kingdom 6 - Soochow University, China 7 - Nanjing University, China 8 - Zhejiang University, China
关于土地湍流的可预测性
Matthias Cuntz 14，David Fairbairn 10，Craig R. Keith Oleson 19，Heather Rumbold 8，Heather Rumbold 8，Heather Rumbold Wang-Faivre 23，Yunfei Wang 24，Yuijian Zeng 24
PHD论文的论文
1：Michalski等，2013 https：//doi.org/10.1038/ngeo1706 2：Alberts等，2002 https https：//www.ncbi.ncbi.nlm.nih.gov/books/nbkk21054/ https://doi.org/10.1016/j.earscirev.2018.03.005 4: https://open.oregonstate.education/aandp/chaptter/3-1---the-mell-membrane/ 5: Rapin et al., 2019 https://doi.org/10.1038/s41561-019-0458-8 6：Vreeland等，2000 https：///doi.org/10.10.10.1038/35038060 7：Schwenzer等Mahaffy等，2012 https：//doi.org/10.1007/s11214-012-9879-z 9：Vago JL等，2017 http：//doi.org/10.1089/ast.2016.16.1533
MICCAI 2024 计划一览
论文 ID 标题/作者 指定会议 6 时空对比网络用于冠状动脉 CT 血管造影中冠状动脉疾病的数据高效学习 马兴华，邹明业，方欣燕，刘洋，罗恭宁，王伟，王宽泉，邱兆文，高鑫，李硕 海报 5 14 TP-DRSeg：通过显式文本提示辅助 SAM 改善糖尿病视网膜病变病变分割 李文学，熊新宇，夏鹏，鞠烈，葛宗元 海报 4 26 用于外科三联体识别的尾部增强表征学习 桂双春，王振坤 海报 1 40 MH-pFLGB：通过全局旁路模型进行医学图像分析的异构个性化联邦学习 谢璐媛，林曼青，徐晨明，栾天宇，曾志鹏，文俊Chen, Cong Li, Yuejian Fang, Qingni Shen,zhonghai Wu 海报 2 50 FM-ABS：即时基础模型驱动 3D 医学图像分割的主动无监督学习 Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Cheng, Quanzheng Li, Raymond Kai-yu Tong 海报 1 53 心脏副驾驶：使用世界模型自动引导超声心动图蒋浩军、孙振国、贾宁、李萌、孙宇、罗沙琪、宋世吉、黄高海报 2 65 拥抱海量医疗数据 周宇成、周宗伟、Alan Yuille 海报 1 67 掩蔽缺失：不完整多模态脑肿瘤分割的任意跨模态特征重建 曾志林、彭泽林、杨小康、沉伟海报 4 73 迈向直肠内超声视频中结直肠癌分割的基准：数据集和模型开发 Yun Cheng Jiang、Yiwen Hu、Zixun 张、Jun Wei、Chun-Mei Feng、Xuemei Tang、Xiang Wan、Yong Liu、Shuguang Cui、Zhen Li 海报 5 74 UinTSeg：统一婴儿脑组织分割与解剖描绘 Jiameng Liu、Feihong Liu、Kaicong Sun、Yuhang Sun、 Jiawei Huang, Caiwen Jiang, Islem Rekik, Dinggang Shen 海报 2 77 XCoOp：通过概念引导上下文优化实现计算机辅助诊断的可解释即时学习 Yequan Bie, Luyang Luo,zhixuan Chen,hao Chen 海报 5 78 DiffExplainer：通过反事实生成揭开黑盒模型 Yingying Fang, Shuang Wu, Zihao Jin, Shiyi Wang, Caiwen Xu, Simon沃尔什·光阳海报 5
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.
人工智能作为版权作者
1 美国宪法第 1 条第 8 款第 8 项。2 17 USC § 102(a) (2018)。3 美国版权局，版权通函 9：雇佣作品 (2021)。4 Burrow-Giles Lithographic Co. 诉 Sarony，111 US 53, 58 (1884)。5 同上。 6 Luo Li，《产权组织知识产权与人工智能对话（第三届会议）》干预报告，https://www.wipo.int/export/sites/www/about- ip/en/artificial_intelligence/conversation_ip_ai/pdf/ind_li.pdf（上次访问时间为 2021 年 12 月 14 日） 7 Christopher Manning，《人工智能定义》，斯坦福大学人类计算与人工智能（2020 年 9 月），https://hai.stanford.edu/sites/default/files/2020-09/AI- Definitions-HAI.pdf
Q-12 社区成长行动会议
在 Tahan 博士发言之后，美国国家科学基金会数学和物理科学部副助理主任 Tie Luo 博士和美国国家科学基金会教育和人力资源部助理主任 Sylvia Butterfield 博士谈到了建设能力和提供更多教育机会以参与 QIS 的努力。在发言中，美国国家科学基金会讨论了他们最近的征集活动，即扩大量子信息科学和工程能力 (ExpandQISE)。ExpandQISE 的目标是通过五年内高达 500 万美元的资助，帮助新机构开展 QISE 研究和教育活动，特别关注那些一半以上的学生来自科学领域代表性不足的群体的机构。
清洁技术行业的循环经济及其在振兴当地经济中的作用
1 Zhou, LF., Yang, D., Du, T., Gong, H. 和 Luo, WB. (2020)。当前废旧锂离子电池的回收工艺。Front. Chem. 8:578044。doi: 10.3389/fchem.2020.578044 2 Pagliaro, M. 和 Meneguzzo, F. (2019)。锂电池的再利用和回收：循环经济洞察。Heliyon, 5 (6)，E01866，https://doi.org/10.1016/j.heliyon.2019.e01866 3 Niese, N.、Pieper, C.、Arora, A. 和 Xie, A. (2020)。电动汽车电池循环经济的案例。波士顿咨询集团，https://www.bcg.com/en-au/publications/2020/case-for-circular-economy-in-electric-vehicle-batteries 4 (2022)。Redwood Materials 为报废电动汽车开辟了第一条道路；在加州启动。Redwood Materials，https://www.redwoodmaterials.com/press/redwood-materials-creates-the-first-pathways-for-end-of-life-electric-vehicles-kicks-off-in-california