咨询与建议

限定检索结果

文献类型

  • 112 篇 会议
  • 46 篇 期刊文献

馆藏范围

  • 158 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 81 篇 工学
    • 62 篇 计算机科学与技术...
    • 43 篇 软件工程
    • 13 篇 控制科学与工程
    • 12 篇 生物工程
    • 9 篇 信息与通信工程
    • 7 篇 生物医学工程(可授...
    • 6 篇 电气工程
    • 5 篇 机械工程
    • 5 篇 土木工程
    • 5 篇 化学工程与技术
    • 4 篇 光学工程
    • 4 篇 电子科学与技术(可...
    • 4 篇 船舶与海洋工程
    • 2 篇 仪器科学与技术
  • 34 篇 理学
    • 13 篇 生物学
    • 8 篇 数学
    • 5 篇 化学
    • 4 篇 物理学
    • 4 篇 海洋科学
    • 3 篇 统计学(可授理学、...
  • 22 篇 管理学
    • 16 篇 图书情报与档案管...
    • 7 篇 管理科学与工程(可...
    • 4 篇 工商管理
  • 8 篇 法学
    • 8 篇 社会学
  • 7 篇 教育学
    • 5 篇 教育学
    • 3 篇 心理学(可授教育学...
  • 7 篇 医学
    • 7 篇 临床医学
    • 4 篇 基础医学(可授医学...
    • 3 篇 药学(可授医学、理...
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 1 篇 哲学
  • 1 篇 文学
  • 1 篇 历史学
  • 1 篇 农学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 11 篇 humans
  • 9 篇 feature extracti...
  • 8 篇 human computer i...
  • 7 篇 accuracy
  • 6 篇 biomedical engin...
  • 6 篇 data mining
  • 6 篇 information scie...
  • 6 篇 user interfaces
  • 5 篇 neurons
  • 5 篇 databases
  • 5 篇 data visualizati...
  • 4 篇 computer science
  • 4 篇 anomaly detectio...
  • 4 篇 history
  • 4 篇 educational inst...
  • 4 篇 visualization
  • 4 篇 semantics
  • 4 篇 entropy
  • 4 篇 training
  • 3 篇 object detection

机构

  • 10 篇 nankai universit...
  • 10 篇 tianjin key labo...
  • 9 篇 haihe laboratory...
  • 5 篇 haihe laboratory...
  • 5 篇 human-computer i...
  • 4 篇 shenyang institu...
  • 4 篇 tsinghua univers...
  • 4 篇 department of co...
  • 4 篇 information scie...
  • 4 篇 beijing national...
  • 4 篇 department of co...
  • 4 篇 tsinghua univers...
  • 3 篇 institute for sy...
  • 3 篇 shandong univers...
  • 3 篇 aeronautical and...
  • 3 篇 china mobile res...
  • 3 篇 human computer i...
  • 3 篇 shenyang institu...
  • 3 篇 human-computer i...
  • 2 篇 swinburne comput...

作者

  • 12 篇 shneiderman ben
  • 9 篇 ben shneiderman
  • 8 篇 plaisant catheri...
  • 6 篇 r. kamimura
  • 5 篇 hongliang wang
  • 5 篇 sun yongqian
  • 5 篇 zhang shenglin
  • 5 篇 pei dan
  • 5 篇 b. shneiderman
  • 5 篇 yongqian sun
  • 5 篇 dan pei
  • 5 篇 shenglin zhang
  • 4 篇 christopher ahlb...
  • 4 篇 h. takeuchi
  • 3 篇 chih-chang chen
  • 3 篇 yang xin
  • 3 篇 xiaozhou liu
  • 3 篇 penelope m. sand...
  • 3 篇 neelam naikar
  • 3 篇 lijun fu

语言

  • 147 篇 英文
  • 10 篇 其他
  • 1 篇 中文
检索条件"机构=Human Computer Interaction Research and Application Laboratory"
158 条 记 录,以下是1-10 订阅
排序:
Ensemble Knowledge Distillation for Federated Semi-Supervised Image Classification
收藏 引用
Tsinghua Science and Technology 2025年 第1期30卷 112-123页
作者: Ertong Shang Hui Liu Jingyang Zhang Runqi Zhao Junzhao Du School of Computer Science and Technology Xidian UniversityXi’an 710126China Engineering Research Center of Blockchain Technology Application and Evaluation Ministry of EducationXi’an 710126China Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province Xi’an 710126China
Federated learning is an emerging privacy-preserving distributed learning paradigm,in which many clients collaboratively train a shared global model under the orchestration of a remote *** current works on federated l... 详细信息
来源: 评论
Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing  35
Auto-PIP: Real-time Identification of Critical Performance I...
收藏 引用
35th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2024
作者: Zhang, Shenglin Xiong, Xiao Li, Mengyao Sun, Yongqian Zhao, Yongxin Chen, Xia Deng, Bowen Pei, Dan Nankai University China Haihe Laboratory of Information Technology Application Innovation China Tianjin Key Laboratory of Software Experience and Human Computer Interaction China Huawei Cloud Tsinghua University Beijing National Research Center for Information Science and Technology China
Conducting stress testing is essential to ensure the stability and performance of software systems post-launch. Among its various aspects, the real-time identification of the "Smooth Load Area"(SLA) is cruci... 详细信息
来源: 评论
Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism  35
Multivariate Time Series Anomaly Detection based on Pre-trai...
收藏 引用
35th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2024
作者: Sun, Yongqian Guo, Yang Liang, Minghan Wen, Xidao Kuang, Junhua Zhang, Shenglin Li, Hongbo Xia, Kaixu Pei, Dan Nankai University China Tianjin Key Laboratory of Software Experience and Human Computer Interaction China BizSeer Haihe Laboratory of Information Technology Application Innovation China Tencent Tsinghua University Beijing National Research Center for Information Science and Technology China
In major tech companies, monitoring server performance data with anomaly detection algorithms is crucial for assessing operational status. Existing models often require separate training or fine-tuning for each server... 详细信息
来源: 评论
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...
收藏 引用
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
来源: 评论
LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices  35
LabelEase: A Semi-Automatic Tool for Efficient and Accurate ...
收藏 引用
35th IEEE International Symposium on Software Reliability Engineering, ISSRE 2024
作者: Zhang, Shenglin Che, Zeyu Pan, Zhongjie Nie, Xiaohui Sun, Yongqian Pan, Lemeng Pei, Dan Nankai University China Haihe Laboratory of Information Technology Application Innovation China Chinese Academy of Sciences Computer Network Information Center China Tianjin Key Laboratory of Software Experience and Human Computer Interaction China Huawei China Tsinghua University Beijing National Research Center for Information Science and Technology China
Trace data is crucial for system observability and maintainability within microservices architectures, and many operation algorithms depend heavily on trace data, including anomaly detection, root cause analysis, etc.... 详细信息
来源: 评论
Artificial Intelligence Driven Predictive Analysis of Acoustic and Linguistic Behaviors for ASD Identification
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial Intelligence 2024年 第11期5卷 5709-5719页
作者: Ashwini, B. Deeptanshu Gulati, Sheffali Shukla, Jainendra Human-Machine Interaction Laboratory Delhi New Delhi110020 India All India Institute of Medical Sciences Department of Pediatrics Child Neurology Division Centre of Excellence and Advanced Research for Childhood Neurodevelopmental Disorders New Delhi110029 India Department of Computer Science and Engineering Delhi New Delhi110020 India
The identification of autism spectrum disorder (ASD) faces challenges due to the lack of reliable biomarkers and the subjectivity in diagnostic procedures, necessitating improved tools for objectivity and efficiency. ... 详细信息
来源: 评论
Biogas Fermentation Monitoring research Based on Borderline-SMOTE Algorithm and Stacking Ensemble Learning  13
Biogas Fermentation Monitoring Research Based on Borderline-...
收藏 引用
13th International Conference of Information and Communication Technology, ICTech 2024
作者: Xiu, Pengfei Fu, Lijun Sun, Yukun Wang, Hongliang Li, Xuerao Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin Shenyang China Shandong University Big Data Technology and Cognitive Intelligence Laboratory University of Chinese Academy of Sciences Shenyang China Shenyang Institute of Computing Technology Chinese Academy of Sciences Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin Shenyang China
Anaerobic fermentation is the most important link to gas production, this paper solves the current problem with the help of the current complete machine learning technology, combining perception and intelligent proces... 详细信息
来源: 评论
Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing
Auto-PIP: Real-time Identification of Critical Performance I...
收藏 引用
IEEE International Conference on Software Reliability Engineering Workshops (ISSRE Wksp)
作者: Shenglin Zhang Xiao Xiong Mengyao Li Yongqian Sun Yongxin Zhao Xia Chen Bowen Deng Dan Pei Nankai University Haihe Laboratory of Information Technology Application Innovation Tianjin Key Laboratory of Software Experience and Human Computer Interaction Huawei Cloud Tsinghua University Beijing National Research Center for Information Science and Technology
Conducting stress testing is essential to ensure the stability and performance of software systems post-launch. Among its various aspects, the real-time identification of the "Smooth Load Area" (SLA) is cruc... 详细信息
来源: 评论
Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism
Multivariate Time Series Anomaly Detection based on Pre-trai...
收藏 引用
IEEE International Conference on Software Reliability Engineering Workshops (ISSRE Wksp)
作者: Yongqian Sun Yang Guo Minghan Liang Xidao Wen Junhua Kuang Shenglin Zhang Hongbo Li Kaixu Xia Dan Pei Nankai University Tianjin Key Laboratory of Software Experience and Human Computer Interaction BizSeer Haihe Laboratory of Information Technology Application Innovation Tencent Beijing National Research Center for Information Science and Technology Tsinghua University
In major tech companies, monitoring server performance data with anomaly detection algorithms is crucial for assessing operational status. Existing models often require separate training or fine-tuning for each server... 详细信息
来源: 评论
Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models
Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Mode...
收藏 引用
IEEE International Conference on Software Reliability Engineering Workshops (ISSRE Wksp)
作者: Shenglin Zhang Pengtian Zhu Minghua Ma Jiagang Wang Yongqian Sun Dongwen Li Jingyu Wang Qianying Guo Xiaolei Hua Lin Zhu Dan Pei Nankai University Haihe Laboratory of Information Technology Application Innovation Microsoft Tsinghua University Tianjin Key Laboratory of Software Experience and Human Computer Interaction China Mobile Research Institute Beijing National Research Center for Information Science and Technology
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
来源: 评论