咨询与建议

限定检索结果

文献类型

  • 31 篇 期刊文献
  • 25 篇 会议

馆藏范围

  • 56 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 35 篇 工学
    • 30 篇 计算机科学与技术...
    • 24 篇 软件工程
    • 6 篇 电气工程
    • 6 篇 生物工程
    • 5 篇 控制科学与工程
    • 4 篇 机械工程
    • 4 篇 信息与通信工程
    • 3 篇 生物医学工程(可授...
    • 2 篇 光学工程
    • 2 篇 电子科学与技术(可...
    • 2 篇 网络空间安全
    • 1 篇 力学(可授工学、理...
    • 1 篇 仪器科学与技术
    • 1 篇 化学工程与技术
    • 1 篇 交通运输工程
  • 15 篇 理学
    • 8 篇 数学
    • 6 篇 生物学
    • 5 篇 统计学(可授理学、...
    • 1 篇 物理学
    • 1 篇 化学
  • 8 篇 管理学
    • 4 篇 管理科学与工程(可...
    • 4 篇 图书情报与档案管...
    • 3 篇 工商管理
  • 3 篇 教育学
    • 3 篇 教育学
    • 1 篇 心理学(可授教育学...
  • 3 篇 医学
    • 3 篇 公共卫生与预防医...
    • 2 篇 基础医学(可授医学...
    • 2 篇 临床医学
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 2 篇 法学
    • 2 篇 社会学

主题

  • 5 篇 training
  • 3 篇 contrastive lear...
  • 3 篇 graph neural net...
  • 3 篇 autonomous vehic...
  • 2 篇 reinforcement le...
  • 2 篇 safety
  • 2 篇 prototypes
  • 2 篇 medical imaging
  • 2 篇 fall detection
  • 2 篇 data mining
  • 2 篇 computational mo...
  • 2 篇 federated learni...
  • 2 篇 sensors
  • 2 篇 adaptation model...
  • 1 篇 sensor systems
  • 1 篇 driving behavior
  • 1 篇 primary 62l10
  • 1 篇 smart homes
  • 1 篇 programmatic wea...
  • 1 篇 runtime

机构

  • 16 篇 data science and...
  • 6 篇 data science and...
  • 6 篇 data science and...
  • 5 篇 department of co...
  • 4 篇 department of co...
  • 4 篇 the hong kong un...
  • 4 篇 data science and...
  • 3 篇 data science and...
  • 3 篇 thrust of data s...
  • 3 篇 school of comput...
  • 2 篇 department of ma...
  • 2 篇 china mobile inf...
  • 2 篇 department of ma...
  • 2 篇 department of ma...
  • 2 篇 dept. computer s...
  • 2 篇 division of emer...
  • 2 篇 shenzhen institu...
  • 2 篇 guangdong provin...
  • 2 篇 data science and...
  • 2 篇 southeast univer...

作者

  • 8 篇 chu xiaowen
  • 6 篇 xiaowen chu
  • 5 篇 han xu
  • 4 篇 chen xianda
  • 4 篇 zhu meixin
  • 4 篇 lei chen
  • 4 篇 li jia
  • 3 篇 wang wenjia
  • 3 篇 ding ningning
  • 2 篇 xinglin pan
  • 2 篇 huang jianwei
  • 2 篇 kaishun wu
  • 2 篇 liu yang
  • 2 篇 shi shaohuai
  • 2 篇 zhong zixin
  • 2 篇 hou yunlong
  • 2 篇 tang jing
  • 2 篇 meixin zhu
  • 2 篇 tan vincent y.f.
  • 2 篇 li bo

语言

  • 51 篇 英文
  • 5 篇 其他
检索条件"机构=Thrust of Data Science and Analytics"
56 条 记 录,以下是1-10 订阅
排序:
Beyond Non-Degeneracy: Revisiting Certainty Equivalent Heuristic for Online Linear Programming
arXiv
收藏 引用
arXiv 2025年
作者: Chen, Yilun Wang, Wenjia China Data Science and Analytics Thrust Information Hub The Hong Kong University of Science and Technology Guangzhou China
The Certainty Equivalent (CE) heuristic is a widely-used algorithm for various dynamic resource allocation problems in OR and OM. Despite its popularity, existing theoretical guarantees of CE are limited to settings s... 详细信息
来源: 评论
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
arXiv
收藏 引用
arXiv 2025年
作者: Peng, Zengqi Wang, Yubin Han, Xu Zheng, Lei Ma, Jun Robotics and Autonomous Systems Thrust The Hong Kong University of Science and Technology Guangzhou China Data Science and Analytics Thrust The Hong Kong University of Science and Technology Guangzhou China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology China
Recent advancements in reinforcement learning (RL) demonstrate the significant potential in autonomous driving. Despite this promise, challenges such as the manual design of reward functions and low sample efficiency ... 详细信息
来源: 评论
Incentive Mechanism Design for Federated Learning With Dynamic Network Pricing
收藏 引用
IEEE Transactions on Mobile Computing 2025年
作者: Ding, Ningning Gao, Lin Huang, Jianwei Data Science and Analytics Thrust Internet of Things Thrust Information Hub Guangzhou China Harbin Institute of Technology School of Electronics and Information Engineering Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology Shenzhen China The Chinese University of Hong Kong School of Science and Engineering Shenzhen Research Institute of Big Data Shenzhen Shenzhen518172 China
Federated learning protects users' data privacy by sharing users' local model parameters (instead of raw data) with a server. However, when massive users train a large machine learning model through federated ... 详细信息
来源: 评论
Incentivized Federated Learning and Unlearning
收藏 引用
IEEE Transactions on Mobile Computing 2025年
作者: Ding, Ningning Sun, Zhenyu Wei, Ermin Berry, Randall Data Science and Analytics Thrust Internet of Things Thrust Information Hub Guangzhou511453 China Northwestern University Department of Electrical and Computer Engineering EvanstonIL60208 United States Northwestern University Electrical and Computer Engineering Department Industrial Engineering and Management Sciences Department EvanstonIL60208 United States
To protect users' right to be forgotten in federated learning, federated unlearning aims at eliminating the impact of leaving users' data on the global learned model. The current research in federated unlearni... 详细信息
来源: 评论
Sparse Additive Contextual Bandits: A Nonparametric Approach for Online Decision-making with High-dimensional Covariates
arXiv
收藏 引用
arXiv 2025年
作者: Wang, Wenjia Zhang, Qingwen Zhang, Xiaowei Data Science and Analytics Thrust The Hong Kong University of Science and Technology Guangzhou China Department of Mathematics The Hong Kong University of Science and Technology Hong Kong Division of Emerging Interdisciplinary Areas The Hong Kong University of Science and Technology Hong Kong Department of Industrial Engineering and Decision Analytics The Hong Kong University of Science and Technology Hong Kong
Personalized services are central to today’s digital landscape, where online decision-making is commonly formulated as contextual bandit problems. Two key challenges emerge in modern applications: high-dimensional co... 详细信息
来源: 评论
Evolutionary Transfer Neural Architecture Search Across Spaces via Representation Learning
收藏 引用
IEEE Transactions on Evolutionary Computation 2025年
作者: Hou, Boyu Feng, Liang Chen, Xuefeng Tang, Jing Tan, Kay Chen Liao, Xiaofeng Chongqing University College of Computer Science China Chongqing Key Laboratory of Big Data Intelligence and Privacy Computing Chongqing400044 China The Hong Kong Polytechnic University Department of Data Science and Artificial Intelligence Hong Kong999077 Hong Kong Data Science and Analytics Thrust Guangzhou511453 China
Neural Architecture Search (NAS) has emerged as a crucial method for automating the design of deep learning models. Despite its potential, NAS frequently requires substantial computational and hardware resources. To m... 详细信息
来源: 评论
EditFollower: Tunable Car Following Models for Customizable Driving Behavior
收藏 引用
IEEE Transactions on Intelligent Transportation Systems 2025年
作者: Chen, Xianda Han, Xu Zhu, Meixin Chu, Xiaowen Tiu, PakHin Zheng, Xinhu Wang, Yinhai The Hong Kong University of Science and Technology (Guangzhou) Intelligent Transportation Thrust Systems Hub Guangzhou 511455 China The Hong Kong University of Science and Technology (Guangzhou) Data Science and Analytics Thrust Information Hub Guangzhou 511455 China Southeast University School of Transportation Nanjing 211189 China University of Washington Department of Civil and Environmental Engineering Seattle 98195 WA United States
In the realm of driving technologies, fully autonomous vehicles have not been widely adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing driving experiences. Among these, car-following ... 详细信息
来源: 评论
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding
收藏 引用
IEEE Transactions on Automation science and Engineering 2025年 22卷 15200-15214页
作者: Song, Yaoxian Sun, Penglei Jin, Piaopiao Ren, Yi Zheng, Yu Li, Zhixu Chu, Xiaowen Zhang, Yue Li, Tiefeng Gu, Jason Zhejiang University Center for X-Mechanics School of Aeronautics and Astronautics Zhejiang Hangzhou China Information Hub Data Science and Analytics Thrust Guangdong China Huawei Technologies Advanced Manufacturing Lab Guangdong Shenzhen China UBTECH Robotics Inc Research Institute Guangdong Shenzhen China Renmin University of China School of Information School of Smart Governance Beijing China Westlake University Institute of Advanced Technology Westlake Institute for Advanced Study School of Engineering Zhejiang Hangzhou China Dalhousie University Department of Electrical and Computer Engineering HalifaxB3H 4R2 Canada
Robotic grasping is a fundamental ability for a robot to interact with the environment. Current methods focus on how to obtain a stable and reliable grasping pose in object level, while little work has been studied on... 详细信息
来源: 评论
EnsembleFollower: A Hybrid Car-Following Framework Based on Hierarchical Planning and Reinforcement Learning
收藏 引用
IEEE Transactions on Vehicular Technology 2025年
作者: Han, Xu Chen, Xianda Zhu, Meixin Cai, Pinlong Zhou, Jianshan Chu, Xiaowen Data Science and Analytics Thrust Information Hub Guangzhou China Intelligent Transportation Thrust Systems Hub Guangzhou China Sensing and Computation for Ubiquitous Internet of Things Guangdong Provincial Key Lab of Integrated Communication China Southeast University School of Transportation Nanjing211189 China Shanghai Artificial Intelligence Laboratory Shanghai China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control State Key Laboratory of Intelligent Transportation Systems China Beihang University School of Transportation Science and Engineering Beijing100191 China
Car-following models have made significant contributions to our understanding of longitudinal driving behavior. However, they often exhibit limited accuracy and flexibility, as they cannot fully capture the complexity... 详细信息
来源: 评论
A dataset for Investigations of Amine-Impregnated Solid Adsorbent for Direct Air Capture
收藏 引用
Scientific data 2025年 第1期12卷 1-24页
作者: Wang, Eryu Luo, Liping Wang, Jiachuan Dai, Jiaxin Li, Shuangyin Chen, Lei Li, Jia Innovation Policy and Entrepreneurship Thrust Society Hub The Hong Kong University of Science and Technology (Guangzhou) No.1 Duxue Road Nansha Guangzhou 511453 China Data Science and Analytics Thrust Information Hub The Hong Kong University of Science and Technology (Guangzhou) No.1 Duxue Road Nansha Guangzhou 511453 China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Clearwater Bay Kowloon 999077 Hong Kong School of Computer Science South China Normal University Guangzhou China School of Interdisciplinary Studies Lingnan University Tuen Mun Hong Kong
Amine-impregnated solid adsorbents are widely explored for point source capture and direct air capture (DAC) to address climate change. Existing literature serves as a valuable source for the investigation of amine-fu...
来源: 评论