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- research-articleAugust 2024
NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation
Proceedings of the ACM on Networking (PACMNET), Volume 2, Issue CoNEXT3Article No.: 16, Pages 1–21https://doi.org/10.1145/3676870Network flow traces are fundamental to many network management workflows. In this paper, we aim to generate high-fidelity network flow traces by explicitly modeling users' dynamic network usage intents. We propose NetDiff, a service-guided hierarchical ...
- research-articleJuly 2024
Mobile User Traffic Generation Via Multi-Scale Hierarchical GAN
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 18, Issue 8Article No.: 189, Pages 1–19https://doi.org/10.1145/3664655Mobile user traffic facilitates diverse applications, including network planning and optimization, whereas large-scale mobile user traffic is hardly available due to privacy concerns. One alternative solution is to generate mobile user traffic data for ...
- short-paperMay 2024
Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation
WWW '24: Companion Proceedings of the ACM Web Conference 2024Pages 851–854https://doi.org/10.1145/3589335.3651530Generating mobile traffic in urban contexts is important for network optimization. However, existing solutions show weakness in capturing complex temporal features of mobile traffic. In this paper, we propose a Knowledge-Guided Conditional Diffusion ...
- research-articleAugust 2023
Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph
KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 4842–4851https://doi.org/10.1145/3580305.3599801The problem of cellular traffic generation in cities without historical traffic data is critical and urgently needs to be solved to assist 5G base station deployments in mobile networks. In this paper, we propose ADAPTIVE, a deep transfer learning ...
- research-articleFebruary 2022
Pixel-level segmentation method of concrete cracks based on MU-Net
ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial IntelligenceArticle No.: 65, Pages 1–7https://doi.org/10.1145/3508546.3508611In order to improve the segmentation accuracy of complex crack and lightweight network, this paper proposes a concrete crack segmentation network named MU-Net (Modified U-Net). In the encoder part, depthwise separable convolution is used to reduce ...
- ArticleJuly 2020
How to Present Calorie Information on the Electronic Menu to Help People Order More Healthily
Human-Computer Interaction. Human Values and Quality of LifePages 200–212https://doi.org/10.1007/978-3-030-49065-2_15AbstractA large study published in THE LANCET in 2014 showed that the number and proportion of obese and overweight people in the world have been increasing in the past 30 years. The problem of high obesity rate has attracted people’s attention. At the ...
- ArticleMarch 2019
Accurate CSI Estimation to Eliminate Unnecessary Transmission for MU-MIMO Networks
EWSN '19: Proceedings of the 2019 International Conference on Embedded Wireless Systems and NetworksPages 166–177In large scale networks with many concurrently active IoT devices, Multi-user MIMO (MU-MIMO) is an important technology to improve data transmission efficiency, due to its ability of enabling multiple clients’ concurrent transmissions. To achieve ...
- ArticleSeptember 2005
Joint detection for a bandwidth efficient modulation method
KES'05: Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IIIPages 483–487https://doi.org/10.1007/11553939_69A bandwidth efficient communication model is propoded via a narrowband band-pass filter at the transmitting end of the system. In order to reduce the ISI caused by the filter, a joint detection algorithm based on low-density parity check matrix codes (...