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
17 Article
1 Chapter

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
5 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
LWiHS: A Lightweight Wi-Fi-Enabled Human Sensing Using Feature Fusion Strategy
Liu, C., Hao, Y., Liu, Y., Zhang, X., Wang, X. & Liu, Y., 2025, 於: IEEE Transactions on Instrumentation and Measurement. 74, 5031515.
研究成果: Article › 同行評審
1 引文斯高帕斯（Scopus）

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)
WONG, C. H. & LIU, Y.
24/01/25
1 的項目媒體報導
新聞/媒體: Press/Media
Faculty of Applied Sciences Researcher Broadens Understanding of Applied Sciences (Integrating Multi-Model Simulations to Address Partial Observability in Population Dynamics: A Python-Based Ecological Tool)
LIU, Y.
14/01/25
1 的項目媒體報導
新聞/媒體: Press/Media
Data from Faculty of Applied Sciences Broaden Understanding of Engineering (CAGE: A Curiosity-Driven Graph-Based Explore-Exploit Algorithm for Solving Deterministic Environment MDPs With Limited Episode Problem)
WONG, C. H. & LIU, Y.
18/10/24
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

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

LWiHS: A Lightweight Wi-Fi-Enabled Human Sensing Using Feature Fusion Strategy

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)

Faculty of Applied Sciences Researcher Broadens Understanding of Applied Sciences (Integrating Multi-Model Simulations to Address Partial Observability in Population Dynamics: A Python-Based Ecological Tool)

Data from Faculty of Applied Sciences Broaden Understanding of Engineering (CAGE: A Curiosity-Driven Graph-Based Explore-Exploit Algorithm for Solving Deterministic Environment MDPs With Limited Episode Problem)

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