Axis rotation MTD algorithm for weak target detection. - Xuan Rao; Haihong Tao; Jia Su; Xiaolu Guo; Jinze Zhang (Digit. Signal Process., 2014)

Robust multicomponent LFM signals synthesis algorithm based on masked ambiguity function. - Jia Su; Haihong Tao; Xuan Rao; Jian Xie 001; Dawei Song 002; Cao Zeng (Digit. Signal Process., 2015)

Passive Localization of Mixed Far-Field and Near-Field Sources without Estimating the Number of Sources. - Jian Xie 001; Haihong Tao; Xuan Rao; Jia Su (Sensors, 2015)

Comments on "Near-Field Source Localization via Symmetric Subarrays". - Jian Xie 001; Haihong Tao; Xuan Rao; Jia Su (IEEE Signal Process. Lett., 2015)

Detection of constant radial acceleration weak target via IAR-FRFT. - Xuan Rao; Haihong Tao; Jia Su; Jian Xie 001; Xiangyang Zhang (IEEE Trans. Aerosp. Electron. Syst., 2015)

Localization of mixed far-field and near-field sources under unknown mutual coupling. - Jian Xie 001; Haihong Tao; Xuan Rao; Jia Su (Digit. Signal Process., 2016)

Residual energy aware mobile data gathering in wireless sensor networks. - Xuan Rao; Hongyu Huang; Jiqiang Tang; Huan Zhao (Telecommun. Syst., 2016)

Imaging and Doppler parameter estimation for maneuvering target using axis mapping based coherently integrated cubic phase function. - Jia Su; Haihong Tao; Jian Xie 001; Xuan Rao; Xiaolu Guo (Digit. Signal Process., 2017)

Improved axis rotation MTD algorithm and its analysis. - Xuan Rao; Tiantian Zhong; Haihong Tao; Jian Xie 001; Jia Su (Multidimens. Syst. Signal Process., 2019)

Route Search and Planning: A Survey. - Ke Li 019; Xuan Rao; Xiaobing Pang; Lisi Chen 001; Siqi Fan 001 (Big Data Res., 2021)

FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting. - Xuan Rao; Hao Wang 005; Liang Zhang; Jing Li 034; Shuo Shang; Peng Han 005 (IJCAI, 2022)

Graph-Flashback Network for Next Location Recommendation. - Xuan Rao; Lisi Chen 001; Yong Liu 020; Shuo Shang; Bin Yao 002; Peng Han 005 (KDD, 2022)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks. - Xuan Rao; Bo Zhao 015; Xiaosong Yi; Derong Liu 001 (CoRR, 2022)

SSAR-GNN: Self-Supervised Artist Recommendation from spatio-temporal perspectives in art history with Graph Neural Networks. - Qinglin Zhang; Menghan Wang; Haiyan Wang; Xuan Rao; Lisi Chen 001 (Future Gener. Comput. Syst., 2023)

Simultaneous multiple angular displacement estimation precision enhanced by the intramode correlation. - Shoukang Chang; Wei Ye; Xuan Rao; Min Liu; Huan Zhang; Liqing Huang; Mengmeng Luo; Yuetao Chen; Shaoyan Gao (Quantum Inf. Process., 2023)

ENAO: Evolutionary Neural Architecture Optimization in the Approximate Continuous Latent Space of a Deep Generative Model. - Zheng Li; Xuan Rao; Shaojie Liu; Bo Zhao 015; Derong Liu 001 (IJCNN, 2024)

Uncertainty-based Continual Learning for Neural Networks with Low-rank Variance Matrices. - Xuan Rao; Bo Zhao 015; Derong Liu 001 (SMC, 2024)

Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation. - Xuan Rao; Shuo Shang; Renhe Jiang; Peng Han 005; Lisi Chen 001 (WWW, 2025)

On robust learning of memory attractors with noisy deep associative memory networks. - Xuan Rao; Bo Zhao 015; Derong Liu 001 (Neural Networks, 2025)

Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning. - Xuan Rao; Renhe Jiang; Shuo Shang; Lisi Chen 001; Peng Han 005; Bin Yao 002; Panos Kalnis (IEEE Trans. Knowl. Data Eng., 2025)

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking. - Xuan Rao; Bo Zhao 015; Derong Liu 001; Cesare Alippi (CoRR, 2025)

DNAD: Differentiable Neural Architecture Distillation. - Xuan Rao; Bo Zhao 015; Derong Liu 001 (CoRR, 2025)

Traffic forecasting with patch-based graph convolutional recurrent network. - Xuan Rao; Shuo Shang; Renhe Jiang; Lisi Chen 001; Peng Han 005 (GeoInformatica, 2025)