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检索条件"机构=National Engineering Laboratory for Big Data System Computing Technology Shenzhen University"
639 条 记 录,以下是141-150 订阅
排序:
Bridging prediction and decision: Advances and challenges in data-driven optimization
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Nexus 2025年 第1期2卷
作者: Yanzhi Wang Jianxiao Wang Haoran Zhang Jie Song Department of Industrial Engineering and Management College of Engineering Peking University Beijing 100871 China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing 100871 China PKU-Changsha Institute for Computing and Digital Economy Changsha 410000 China School of Urban Planning and Design Peking University Shenzhen Guangdong 518055 China
data-driven approaches have revolutionized traditional optimization methods by integrating prediction with decision-making. This review examines the theoretical foundations, strengths, recent advancements, and limitat... 详细信息
来源: 评论
Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction  30th
Dendritic Neural Regression Model Trained by Chicken Swarm O...
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30th International Conference on Neural Information Processing, ICONIP 2023
作者: Wang, Qi Zhang, Haiyan Ji, Junkai Tang, Cheng Tang, Yajiao College of Economics Central South University of Forestry and Technology Changsha410004 China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China Faculty of Information Science and Electrical Engineering Kyushu University Fukuoka819-0395 Japan
Recently, banks are constantly facing the problem of customers churning. Customer churn not only leads to a decline in bank funds and profits but also reduces its credit capacity and affects the bank’s operational ma... 详细信息
来源: 评论
Diffusion-based Dynamic Contract for Federated AI Agent Construction in Mobile Metaverses
arXiv
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arXiv 2025年
作者: Wen, Jinbo Kang, Jiawen Zhang, Yang Zhong, Yue Niyato, Dusit Xu, Jie Tang, Jianhang Yuen, Chau College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China School of Automation Guangdong University of Technology China College of Computing and Data Science Nanyang Technological University Singapore Guangdong Provincial Key Laboratory of Future Networks of Intelligence The Chinese University of Hong Kong Shenzhen China State Key Laboratory of Public Big Data Guizhou University China School of Electrical and Electronics Engineering Nanyang Technological University Singapore
Mobile metaverses have attracted significant attention from both academia and industry, which are envisioned as the next-generation Internet, providing users with immersive and ubiquitous metaverse services through mo... 详细信息
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Towards Stricter Black-box Integrity Verification of Deep Neural Network Models  24
Towards Stricter Black-box Integrity Verification of Deep Ne...
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32nd ACM International Conference on Multimedia, MM 2024
作者: He, Chaoxiang Bai, Xiaofan Ma, Xiaojing Zhu, Bin B. Hu, Pingyi Fu, Jiayun Jin, Hai Zhang, Dongmei Huazhong University of Science and Technology Hubei Wuhan China Shanghai Jiao Tong University Shanghai China Microsoft Corporation Beijing China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security Hubei Key Laboratory of Distributed System Security School of Cyber Science and Engineering Huazhong University of Science and Technology China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China
Cloud-based machine learning services offer significant advantages but also introduce the risk of tampering with cloud-deployed deep neural network (DNN) models. Black-box integrity verification (BIV) allows model own... 详细信息
来源: 评论
A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media  28th
A Topic-Aware Graph-Based Neural Network for User Interest ...
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28th International Conference on database systems for Advanced Applications, DASFAA 2023
作者: Chen, Junyang Fan, Ge Gong, Zhiguo Li, Xueliang Leung, Victor C. M. Wang, Mengzhu Yang, Ming College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen China Tencent Inc. Shenzhen China State Key Laboratory of Internet of Things for Smart City Department of Computer Information Science University of Macau China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China
User-generated content is daily produced in social media, as such user interest summarization is critical to distill salient information from massive information. While the interested messages (e.g., tags or posts) fr... 详细信息
来源: 评论
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion  38
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent D...
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38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Zeng, Yu Zhang, Yang Liu, Jiachen Shen, Linlin Deng, Kaijun He, Weizhao Wang, Jinbao Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China
Hair editing is a critical image synthesis task that aims to edit hair color and hairstyle using text descriptions or reference images, while preserving irrelevant attributes (e.g., identity, background, cloth). Many ...
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Research Landscapes, Hotspots and Emerging Frontiers of Combinatorial Optimization Algorithms on Graphs: A Scientometric Analysis (1987 - 2022)  9
Research Landscapes, Hotspots and Emerging Frontiers of Comb...
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9th International Conference on big data and Information Analytics, bigDIA 2023
作者: Sun, Boliang Chen, Hai You, Ziqi National University of Defense Technology Laboratory for Big Data and Decision ChangSha China National University of Defense Technology College of System Engineering ChangSha China
This paper presents a scientometric analysis of the research landscapes, hotspots, and emerging frontiers of combinatorial optimization algorithms on graphs from 1987 to 2022. The study investigates technical maturity... 详细信息
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A method for accelerating relations search over big data scenario  5
A method for accelerating relations search over big data sce...
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5th International Conference on Algorithms, computing and Artificial Intelligence, ACAI 2022
作者: Liu, Lihua Wang, Mao Xiao, Kaiming Chen, Haiwen College of System Engineering National University of Defense Technology China and Laboratory for Big Data and Decision National University of Defense Technology Changsha410073 China
We propose an acceleration method for relations search over big data scenario. The relations search is in essence an induced subgraph search of graph data model, which is to search all edges with all adjacent vertices... 详细信息
来源: 评论
Video2Reward: Generating Reward Function from Videos for Legged Robot Behavior Learning  27
Video2Reward: Generating Reward Function from Videos for Leg...
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27th European Conference on Artificial Intelligence, ECAI 2024
作者: Zeng, Runhao Zhou, Dingjie Liang, Qiwei Liu, Junlin Li, Hui Huang, Changxin Li, Jianqiang Hu, Xiping Sun, Fuchun Artificial Intelligence Research Institute Shenzhen MSU-BIT University China College of Mechatronics and Control Engineering Shenzhen University China College of Computer Science and Software Engineering Shenzhen University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Department of Computer Science and Technology Tsinghua University China
Learning behavior in legged robots presents a significant challenge due to its inherent instability and complex constraints. Recent research has proposed the use of a large language model (LLM) to generate reward func... 详细信息
来源: 评论
Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence Diagrams through Evolutionary Algorithms  21
Ev-IDID: Enhancing Solutions to Interactive Dynamic Influenc...
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21st International Conference on Autonomous Agents and Multiagent systems, AAMAS 2022
作者: Ma, Biyang Pan, Yinghui Zeng, Yifeng Ming, Zhong School of Computer Science and Engineering Minnan Normal University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Department of Computer and Information Sciences Northumbria University United Kingdom College of Computer Science and Software Engineering Shenzhen University China
Interactive dynamic influence diagrams (I-DIDs) are a general framework for multiagent sequential decision making under uncertainty. Due to the model complexity, a significant amount of research has been invested into... 详细信息
来源: 评论