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检索条件"机构=Cas Key Lab of Network Data Science and Technology"
497 条 记 录,以下是221-230 订阅
Semantic and Emotional Dual Channel for Emotion Recognition in Conversation
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IEEE Transactions on Affective Computing 2025年
作者: Yang, Zhenyu Zhang, Zhibo Cheng, Yuhu Zhang, Tong Wang, Xuesong Jinan250353 China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan250353 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan250353 China China University of Mining and Technology Engineering Research Center of Intelligent Control for Underground Space Ministry of Education Xuzhou Key Laboratory of Artificial Intelligence and Big Data School of Information and Control Engineering Xuzhou221116 China South China University of Technology Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information School of Computer Science and Engineering Guangzhou510006 China Pazhou Lab Guangzhou510335 China Engineering Research Center Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human Guangzhou China
Emotion recognition in conversation (ERC) aims at accurately identifying emotional states expressed in conversational content. Existing ERC methods, although relying on semantic understanding, often encounter challeng... 详细信息
来源: 评论
Link Prediction on n-ary relational data based on relatedness evaluation
arXiv
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arXiv 2021年
作者: Guan, Saiping Jin, Xiaolong Guo, Jiafeng Wang, Yuanzhuo Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences Beijing100049 China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing100864 China
With the overwhelming popularity of Knowledge Graphs (KGs), researchers have poured attention to link prediction to fill in missing facts for a long time. However, they mainly focus on link prediction on binary relati... 详细信息
来源: 评论
A Chinese multimodal depression dataset with personality labeling for older adults with underlying medical conditions
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IEEE Transactions on Affective Computing 2025年
作者: Zhao, Yuliang Zhang, Huawei Li, Jian Song, Siyang Lian, Chao Liu, Yinghao Wang, Yulin Fu, Changzeng School of Information Science and Engineering Northeastern University Shenyang110819 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China Northeastern University SSTC NEU Hebei Key Laboratory of Marine Perception Network and Data Processing Hebei Qinhuangdao066004 China Osaka University Japan University of Cambridge AFAR Lab Department of Computer Science and Technology CambridgeCB3 0FT United Kingdom First Hospital of Qinhuangdao Qinhuangdao066004 China
Elderly individuals often suffer from underlying medical conditions, resulting in a significant decline in quality of life and a heightened susceptibility to depression. Presently, AI screening tools based on behavior... 详细信息
来源: 评论
Search from history and reason for future: Two-stage reasoning on temporal knowledge graphs
arXiv
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arXiv 2021年
作者: Li, Zixuan Jin, Xiaolong Guan, Saiping Li, Wei Guo, Jiafeng Wang, Yuanzhuo Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Baidu Inc
Temporal Knowledge Graphs (TKGs) have been developed and used in many different areas. Reasoning on TKGs that predicts potential facts (events) in the future brings great challenges to existing models. When facing a p... 详细信息
来源: 评论
Adaptive information seeking for open-domain question answering
arXiv
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arXiv 2021年
作者: Zhu, Yunchang Pang, Liang Lan, Yanyan Shen, Huawei Cheng, Xueqi Data Intelligence System Research Center CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Institute for AI Industry Research Tsinghua University
Information seeking is an essential step for open-domain question answering to efficiently gather evidence from a large corpus. Recently, iterative approaches have been proven to be effective for complex questions, by... 详细信息
来源: 评论
Sketch and customize: A counterfactual story generator
arXiv
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arXiv 2021年
作者: Hao, Changying Pang, Liang Lan, Yanyan Wang, Yan Guo, Jiafeng Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China Tencent AI Lab United States
Recent text generation models are easy to generate relevant and fluent text for the given text, while lack of causal reasoning ability when we change some parts of the given text. Counterfactual story rewriting is a r...
来源: 评论
Transductive learning for unsupervised text style transfer
arXiv
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arXiv 2021年
作者: Xiao, Fei Pang, Liang Lan, Yanyan Wang, Yan Shen, Huawei Cheng, Xueqi Data Intelligence System Research Center Cas Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Institute for Ai Industry Research Tsinghua University University of Chinese Academy of Sciences Tencent Ai Lab
Unsupervised style transfer models are mainly based on an inductive learning approach, which represents the style as embeddings, decoder parameters, or discriminator parameters and directly applies these general rules... 详细信息
来源: 评论
Ginsenoside compound-K attenuates OVX-induced osteoporosis via the suppression of RANKL-induced osteoclastogenesis and oxidative stress
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Natural Products and Bioprospecting 2023年 第1期13卷 159-170页
作者: Lingli Ding Zhao Gao Siluo Wu Chen Chen Yamei Liu Min Wang Yage Zhang Ling Li Hong Zou Guoping Zhao Shengnan Qin Liangliang Xu Key Laboratory of Orthopaedics and Traumatology Lingnan Medical Research CenterThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhou University of Chinese MedicineGuangzhouChina Er Sha Sports Training Center of Guangdong Province GuangzhouChina School of Basic Medical Science Guangzhou University of Chinese MedicineGuangzhouChina Engineering Laboratory for Nutrition Shanghai Institute of Nutrition and HealthChinese Academy of SciencesShanghaiChina Master Lab for Innovative Application of Nature Products National Center of Technology Innovation for Synthetic BiologyTianjin Institute of Industrial BiotechnologyChinese Academy of SciencesTianjinChina CAS Key Laboratory of Quantitative Engineering Biology Shenzhen Institute of Synthetic BiologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenChina CAS-Key Laboratory of Synthetic Biology CAS Center for Excellence in Molecular Plant SciencesShanghai Institute of Plant Physiology and EcologyChinese Academy of SciencesShanghaiChina Bio-Med Big Data Center Shanghai Institute of Nutrition and HealthChinese Academy of SciencesShanghaiChina State Key Laboratory of Genetic Engineering Department of Microbiology and ImmunologySchool of Life SciencesFudan UniversityShanghaiChina Department of Microbiology The Chinese University of Hong KongHong KongChina Department of Orthopaedics Guangzhou Institute of Traumatic SurgeryGuangzhou Red Cross HospitalMedical CollegeJinan UniversityGuangzhouChina
Osteoporosis(OP),a systemic and chronic bone disease,is distinguished by low bone mass and destruction of bone *** Compound-K(CK),one of the metabolites of ginsenoside Rb1,has anti-aging,anti-inflammatory,anti-cancer,... 详细信息
来源: 评论
BiKT: Unleashing the potential of GNNs via Bi-directional Knowledge Transfer
arXiv
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arXiv 2023年
作者: Zheng, Shuai Liu, Zhizhe Zhu, Zhenfeng Zhang, Xingxing Li, Jianxin Zhao, Yao The Institute of Information Science Beijing Jiaotong University Beijing100044 China The Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Qiyuan Lab Beijing China The Beijing Advanced Innovation Center for Big Data and Brain Computing School of Computer Science and Engineering Beihang University Beijing100083 China
Based on the message-passing paradigm, there has been an amount of research proposing diverse and impressive feature propagation mechanisms to improve the performance of GNNs. However, less focus has been put on featu... 详细信息
来源: 评论
SDGNN: Learning Node Representation for Signed Directed networks
arXiv
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arXiv 2021年
作者: Huang, Junjie Shen, Huawei Hou, Liang Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
network embedding is aimed at mapping nodes in a network into low-dimensional vector representations. Graph Neural networks (GNNs) have received widespread attention and lead to state-of-the-art performance in learnin... 详细信息
来源: 评论