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检索条件"机构=State Key Laboratory of Computer Science and Beijing Key Lab of Human-Computer Interaction"
128 条 记 录,以下是51-60 订阅
排序:
A Framework for Multi-devices Based Intelligent interactions
A Framework for Multi-devices Based Intelligent Interactions
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International Workshop on Intelligent Networks and Intelligent Systems (ICINIS)
作者: Chao Dong Ji-Zhi Tan Heng Wang Guo-Ping Wang Human Computer Interaction and Multimedia Laboratory Key Laboratory of Machine Perception and Intelligence MOE Department of Computer and Science Peking University Beijing China
Nowadays, intelligent interaction and multi-devices interaction have attracted great attention from researchers and industry, yet there are still no framework combining these two interactions together. We study this p... 详细信息
来源: 评论
The Super-large Ensemble Experiments of CAS FGOALS-g3
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Advances in Atmospheric sciences 2022年 第10期39卷 1746-1765,I0021-I0025页
作者: Pengfei LIN Bowen ZHAO Jilin WEI Hailong LIU Wenxia ZHANG Xiaolong CHEN Jie JIANG Mengrong DING Wenmin MAN Jinrong JIANG Xu ZHANG Yuewen DING Wenrong BAI Chenyang JIN Zipeng YU Yiwen LI Weipeng ZHENG Tianjun ZHOU State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Computer Network Information Center Chinese Academy of SciencesBeijing 100190China Group of Alpine Paleoecology and Human Adaptation(ALPHA) State Key Laboratory of Tibetan Plateau Earth SystemResources and Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100864China Key Laboratory of Western China’s Environmental Systems(Ministry of Education) College of Earth and Environmental ScienceLanzhou UniversityLanzhou 730000China
A super-large ensemble simulation dataset with 110 members has been produced by the fully coupled model FGOALS-g3 developed by researchers at the Institute of Atmospheric Physics,Chinese Academy of *** is the first da... 详细信息
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Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models  35
Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Mode...
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35th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2024
作者: Zhang, Shenglin Zhu, Pengtian Ma, Minghua Wang, Jiagang Sun, Yongqian Li, Dongwen Wang, Jingyu Guo, Qianying Hua, Xiaolei Zhu, Lin Pei, Dan Nankai University China Haihe Laboratory of Information Technology Application Innovation China Microsoft Tsinghua University China Tianjin Key Laboratory of Software Experience and Human Computer Interaction China China Mobile Research Institute China Beijing National Research Center for Information Science and Technology China
Large language models (LLMs) excel at general question-answering (Q&A) but often fall short in specialized domains due to a lack of domain-specific knowledge. Commercial companies face the dual challenges of priva... 详细信息
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MOTION ESTIMATION OF MULTIPLE DEPTH CAMERAS USING SPHERES
MOTION ESTIMATION OF MULTIPLE DEPTH CAMERAS USING SPHERES
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IEEE International Conference on Image Processing
作者: Xiaoming Deng Jie Liu Feng Tian Liang Chang Hongan Wang Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences College of Information Science and Technology Beijing Normal University
Automatic motion estimation of multiple depth cameras has remained a challenging topic in computer vision due to its reliance on the image correspondence problem. In this paper, spherical objects are employed to estim... 详细信息
来源: 评论
Advswap: Covert Adversarial Perturbation with High Frequency Info-Swapping for Autonomous Driving Perception  27
Advswap: Covert Adversarial Perturbation with High Frequency...
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27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024
作者: Huang, Yuanhao Zhang, Qinfan Xing, Jiandong Cheng, Mengyue Yu, Haiyang Ren, Yilong Xiong, Xiao School of Transportation Science and Engineering Beihang University Beijing100191 China State Key Lab of Intelligent Transportation System Beijing100191 China Zhongguancun Laboratory Beijing100094 China University of Alberta Department of Electrical and Computer Engineering Edmonton Canada
Perception module of Autonomous vehicles (AVs) are increasingly susceptible to be attacked, which exploit vulnerabilities in neural networks through adversarial inputs, thereby compromising the AI safety. Some researc...
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Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence
arXiv
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arXiv 2025年
作者: Sun, Yingying Jun, A. Liu, Zhiwei Sun, Rui Qian, Liujia Payne, Samuel H. Bittremieux, Wout Ralser, Markus Li, Chen Chen, Yi Dong, Zhen Perez-Riverol, Yasset Khan, Asif Sander, Chris Aebersold, Ruedi Vizcaíno, Juan Antonio Krieger, Jonathan R. Yao, Jianhua Wen, Han Zhang, Linfeng Zhu, Yunping Xuan, Yue Sun, Benjamin Boyang Qiao, Liang Hermjakob, Henning Tang, Haixu Gao, Huanhuan Deng, Yamin Zhong, Qing Chang, Cheng Bandeira, Nuno Li, Ming Weinan, E. Sun, Siqi Yang, Yuedong Omenn, Gilbert S. Zhang, Yue Xu, Ping Fu, Yan Liu, Xiaowen Overall, Christopher M. Wang, Yu Deutsch, Eric W. Chen, Luonan Cox, Jürgen Demichev, Vadim He, Fuchu Huang, Jiaxing Jin, Huilin Liu, Chao Li, Nan Luan, Zhongzhi Song, Jiangning Yu, Kaicheng Wan, Wanggen Wang, Tai Zhang, Kang Zhang, Le Bell, Peter A. Mann, Matthias Zhang, Bing Guo, Tiannan Affiliated Hangzhou First People’s Hospital State Key Laboratory of Medical Proteomics School of Medicine Westlake University Zhejiang Province Hangzhou China Westlake Center for Intelligent Proteomics Westlake Laboratory of Life Sciences and Biomedicine Zhejiang Province Hangzhou China Biology Department Brigham Young University ProvoUT84602 United States Department of Computer Science University of Antwerp Antwerp2020 Belgium Department of Biochemistry CharitéUniversitätsmedizin Berlin Berlin Germany Biomedicine Discovery Institute Department of Biochemistry and Molecular Biology Monash University MelbourneVICVIC 3800 Australia Wellcome Genome Campus Hinxton CambridgeCB10 1SD United Kingdom Harvard Medical School Ludwig Center at Harvard United States Harvard Medical School Broad Institute Ludwig Center at Harvard Dana-Farber Cancer Institute United States Department of Biology Institute of Molecular Systems Biology ETH Zürich Zürich Switzerland Bruker Ltd. MiltonONL9T 6P4 Canada AI for Life Sciences Lab Tencent Shenzhen518057 China State Key Laboratory of Medical Proteomics AI for Science Institute Beijing100080 China Beijing Institute of Lifeomics Beijing102206 China Thermo Fisher Scientific GmbH Hanna-Kunath Str. 11 Bremen28199 Germany Informatics and Predictive Sciences Research Bristol Myers Squibb United States Department of Chemistry Fudan University Songhu Road 2005 Shanghai200438 China Department of Computer Science Luddy School of Informatics Computing and Engineering Indiana University IN47408 United States ProCan® Children’s Medical Research Institute Faculty of Medicine and Health The University of Sydney WestmeadNSW Australia La Jolla CA United States Central China Institute of Artificial Intelligence University of Waterloo Canada AI for Science Institute Center for Machine Learning Research School of Mathematical Sciences Peking University China Research Institute of Intelligent Complex Systems Fudan U
Artificial intelligence (AI) is transforming scientific research, including proteomics. Advances in mass spectrometry (MS)-based proteomics data quality, diversity, and scale, combined with groundbreaking AI technique... 详细信息
来源: 评论
The fNIRS-based Emotion Recognition by Spatial Transformer and WGAN Data Augmentation Towards Developing A Novel Affective BCI
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IEEE Transactions on Affective Computing 2024年 第2期16卷 875-890页
作者: Si, Xiaopeng Huang, He Yu, Jiayue Ming, Dong Tianjin University Academy of Medical Engineering and Translational Medicine State Key Laboratory of Advanced Medical Materials and Devices Haihe Laboratory of Brain-computer Interaction and Human-machine Integration Tianjin Key Laboratory of Brain Science and Neural Engineering Institute of Applied Psychology Tianjin300072 China Tianjin University Academy of Medical Engineering and Translational Medicine State Key Laboratory of Advanced Medical Materials and Devices Haihe Laboratory of Brain-computer Interaction and Human-machine Integration Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin300072 China
The affective brain-computer interface (aBCI) facilitates the objective identification or regulation of human emotions. Current aBCI mainly relies on electroencephalography (EEG). However, research shows that emotions... 详细信息
来源: 评论
Spectral clustering based null space linear discriminant analysis (SNLDA)
Spectral clustering based null space linear discriminant ana...
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11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007
作者: Wenxin, Yang Junping, Zhang Department of Electronic Engineering Fudan University Shanghai 200433 China Shanghai Key Lab. of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University China
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with same covariance each class. Meanwhile, ... 详细信息
来源: 评论
A Neural Architecture Search Method with Multi-Dimensional Correlation Representation for Fault Diagnosis
A Neural Architecture Search Method with Multi-Dimensional C...
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Smart World Congress (SWC), IEEE
作者: Yumeng Liu Tingqi Wang Xu Zheng Ling Tian Hongan Wang Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China
As deep learning has become more widely used for fault diagnosis, the shortcomings of model transferability and human model design costs are growing increasingly evident. The current work has tackled each of these two...
来源: 评论
A Dual-view Semi-supervised Learning Framework for Combinatorial Few-shot Fault Diagnosis
A Dual-view Semi-supervised Learning Framework for Combinato...
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IEEE International Conference on Performance, Computing and Communications (IPCCC)
作者: Yumeng Liu Wenzhang Zhong Ke Yan Ling Tian Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China
The accurate and comprehensive fault diagnosis is pivotal for the maintenance of mechanical equipment, which may directly impact the safety in production and avoid unnecessary losses of equipment. With the pervasively...
来源: 评论