A Research and Analysis Method of Open Source Threat Intelligence Data. - Ruyue Liu; Ziping Zhao 001; Chengjun Sun; Xiaoyu Yang; Xiaoli Gong; Jin Zhang 003 (ICPCSEE (1), 2017)

LoRaSense: An Interference-aware Concurrent Transmission Model. - Jing Zhang; Ruyue Liu; Xiaoqing Gong; Feng Chen 002; Baoying Liu; Dingyi Fang; Jingjing Zhao; Xiaojiang Chen (EWSN, 2019)

An Improved YOLOV3 for Pedestrian Clothing Detection. - Ruyue Liu; Zeyu Yan; Zhijie Wang 001; Shenyi Ding (ICSAI, 2019)

Human Activity Recognition Based on Wearable Sensor Using Hierarchical Deep LSTM Networks. - Lukun Wang; Ruyue Liu (Circuits Syst. Signal Process., 2020)

microbioTA: an atlas of the microbiome in multiple disease tissues of Homo sapiens and Mus musculus. - Ping Wang 033; Sainan Zhang; Guoyou He; Meiyu Du; Changlu Qi; Ruyue Liu; Siyuan Zhang; Liang Cheng 006; Lei Shi; Xue Zhang (Nucleic Acids Res., 2023)

FSS-Tag: High Accuracy Material Identification System Based On Frequency Selective Surface Tag. - Liqiong Chang; Xiaofeng Yang; Ruyue Liu; Guodong Xie; Fuwei Wang; Ju Wang 003 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network. - Ruyue Liu; Rong Yin 001; Yong Liu 018; Weiping Wang 005 (AAAI, 2024)

DB-FSCIL: Few-Shot Class-Incremental Learning Using Dual Bridges. - Kexin Bao; Fanzhao Lin; Ruyue Liu; Shiming Ge (PRICAI (3), 2024)

Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition. - Ruyue Liu; Rong Yin 001; Xiangzhen Bo; Xiaoshuai Hao; Xingrui Zhou; Yong Liu 018; Can Ma; Weiping Wang 005 (CoRR, 2024)

Unbiased and augmentation-free self-supervised graph representation learning. - Ruyue Liu; Rong Yin 001; Yong Liu 018; Weiping Wang 005 (Pattern Recognit., 2024)

Multi-Modal Molecular Representation Learning via Structure Awareness. - Rong Yin 001; Ruyue Liu; Xiaoshuai Hao; Xingrui Zhou; Yong Liu 018; Can Ma; Weiping Wang 005 (IEEE Trans. Image Process., 2025)

AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning. - Ruyue Liu; Rong Yin 001; Yong Liu 018; Xiaoshuai Hao; Haichao Shi; Can Ma; Weiping Wang 005 (CoRR, 2025)