YUE LIU

查看斯高帕斯 (Scopus) 概要

電話8599 6433
電子郵件yue.liumpu.edumo

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每年研究成果

指紋

查看啟用 YUE LIU 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。

1 類似的個人檔案

31 Conference contribution
18 Article
1 Chapter

WiSACL: A subdomain adaptive Wi-Fi-based gesture recognition via contrastive learning
Liu, C., Zhou, Y., Yuan, X., Liu, Y. & Liu, Y., 2026, (Accepted/In press) 於: IEEE Internet of Things Journal.
研究成果: Article › 同行評審
Contrastive Learning via Randomly Generated Deep Supervision
Wang, S., Ma, Z., Chan, K. H., Liu, Y., Tong, T., Gao, Q., Zhai, G., Liu, X. & Tan, T., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings. Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (編輯). Institute of Electrical and Electronics Engineers Inc., (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).
研究成果: Conference contribution › 同行評審
Deep Learning-based Human Activity Recognition using Wi-Fi Signals
Fong, S. P., Liu, Y., Liu, C. & Ding, Z., 2025, Sixteenth International Conference on Signal Processing Systems, ICSPS 2024. Minasian, R. & Chai, L. (編輯). SPIE, 1355932. (Proceedings of SPIE - The International Society for Optical Engineering; 卷 13559).
研究成果: Conference contribution › 同行評審
Generative Artificial Intelligence for Mobile Communications: A Diffusion Model Perspective
Xu, X., Mu, X., Liu, Y., Xing, H., Liu, Y. & Nallanathan, A., 2025, 於: IEEE Communications Magazine. 63, 7, p. 98-105 8 p.
研究成果: Article › 同行評審

開啟存取
10 引文斯高帕斯（Scopus）
Integrating Multi-Model Simulations to Address Partial Observability in Population Dynamics: A Python-Based Ecological Tool
Yu, Y., Li, H., Liu, Y. & Ma, Y., 1月 2025, 於: Applied Sciences (Switzerland). 15, 1, 89.
研究成果: Article › 同行評審

開啟存取

Queen Mary University of London Researchers Provide New Data on Dementia (Circulating inflammatory proteins predict dementia risk, and are linked to structural brain changes and modifiable risk factors)
LIU, Y.
24/02/26
1 的項目媒體報導
新聞/媒體: Press/Media
Study Data from Queen Mary University of London Update Understanding of Dementia (Circulating inflammatory proteins predict dementia risk, are linked to structural brain changes and modifiable risk factors)
LIU, Y.
29/01/26
1 的項目媒體報導
新聞/媒體: Press/Media
Recent Findings in Engineering Described by Researchers from Faculty of Applied Sciences (WiMUAR: Wi-Fi-Based Multi-User Human Activity Recognition Using Hybrid Spatio-Temporal Neural Network)
LIU, Y.
26/11/25
1 的項目媒體報導
新聞/媒體: Press/Media
Reports from Faculty of Applied Sciences Add New Data to Research in Engineering (MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection)
TAN, T. & LIU, Y.
5/08/25
1 的項目媒體報導
新聞/媒體: Press/Media
Data from Faculty of Applied Sciences Advance Knowledge in Engineering (POMA-C: A Framework for Solving the Problem of Precise Anesthesia Control Under Incomplete Observation Environment in Low-Income Areas)
LIU, Y. & WONG, C. H.
24/01/25
1 的項目媒體報導
新聞/媒體: Press/Media

劉玥

指紋

過去五年中的合作和熱門研究領域

深入探索詳細資料

WiSACL: A subdomain adaptive Wi-Fi-based gesture recognition via contrastive learning

Contrastive Learning via Randomly Generated Deep Supervision

Deep Learning-based Human Activity Recognition using Wi-Fi Signals

Generative Artificial Intelligence for Mobile Communications: A Diffusion Model Perspective

Integrating Multi-Model Simulations to Address Partial Observability in Population Dynamics: A Python-Based Ecological Tool

Queen Mary University of London Researchers Provide New Data on Dementia (Circulating inflammatory proteins predict dementia risk, and are linked to structural brain changes and modifiable risk factors)

Study Data from Queen Mary University of London Update Understanding of Dementia (Circulating inflammatory proteins predict dementia risk, are linked to structural brain changes and modifiable risk factors)

Recent Findings in Engineering Described by Researchers from Faculty of Applied Sciences (WiMUAR: Wi-Fi-Based Multi-User Human Activity Recognition Using Hybrid Spatio-Temporal Neural Network)

Reports from Faculty of Applied Sciences Add New Data to Research in Engineering (MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection)

Data from Faculty of Applied Sciences Advance Knowledge in Engineering (POMA-C: A Framework for Solving the Problem of Precise Anesthesia Control Under Incomplete Observation Environment in Low-Income Areas)

劉 玥

指紋

過去五年中的合作和熱門研究領域

研究成果

新聞/媒體

劉玥