On the performance of dual-hop regenerative cooperative relaying of IR-UWB system. - Yongjie Xu; Zhiquan Bai; Kyung Sup Kwak (ISCIT, 2011)

MAI and MI Performance of the Orthogonal Complementary Code Based DS-BPAM UWB System. - Zhiquan Bai; Fang Zhao 005; Yongjie Xu; Dongfeng Yuan; Kyungsup Kwak (VTC Fall, 2012)

Pattern recognition methodology for operation task allocation under intuitionistic fuzzy setting. - Hongquan Shi; Yongchun Wang; Xudong Miao; Yongjie Xu (FSKD, 2013)

Ship Classification in SAR Images Improved by AIS Knowledge Transfer. - Haitao Lang; Siwen Wu; Yongjie Xu (IEEE Geosci. Remote. Sens. Lett., 2018)

Distribution Discrepancy Maximization Metric Learning for Ship Classification in Synthetic Aperture Radar Images. - Yongjie Xu; Haitao Lang; Xiaopeng Chai (IGARSS, 2019)

Discriminative Adaptation Regularization Framework-Based Transfer Learning for Ship Classification in SAR Images. - Yongjie Xu; Haitao Lang; Lihui Niu; Chenguang Ge (IEEE Geosci. Remote. Sens. Lett., 2019)

Distribution Shift Metric Learning for Fine-Grained Ship Classification in SAR Images. - Yongjie Xu; Haitao Lang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

ESampler: Efficient Sampling of Satisfying Assignments for Boolean Formulas. - Yongjie Xu; Fu Song; Taolue Chen 001 (SETTA, 2021)

Unsupervised Deep Manifold Attributed Graph Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Jianzhu Guo; Yongjie Xu; Stan Z. Li (CoRR, 2021)

Application of Mobile APP in Moral Education Course Teaching Based on Intelligent Internet of Things. - Guoyong Liu; Yongjie Xu (Mob. Inf. Syst., 2021)

Ship Classification in SAR Images With Geometric Transfer Metric Learning. - Yongjie Xu; Haitao Lang (IEEE Trans. Geosci. Remote. Sens., 2021)

Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. - Haitao Lin; Zhangyang Gao; Yongjie Xu; Lirong Wu; Ling Li; Stan Z. Li (AAAI, 2022)

OT Cleaner: Label Correction as Optimal Transport. - Jun Xia 001; Cheng Tan 012; Lirong Wu; Yongjie Xu; Stan Z. Li (ICASSP, 2022)

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. - Cheng Tan 012; Zhangyang Gao; Siyuan Li 002; Yongjie Xu; Stan Z. Li (CoRR, 2022)

UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. - Zelin Zang; Yongjie Xu; Yulan Geng; Siyuan Li 002; Stan Z. Li (CoRR, 2022)

EVNet: An Explainable Deep Network for Dimension Reduction. - Zelin Zang; Shenghui Cheng; Linyan Lu; Hanchen Xia; Liangyu Li; Yaoting Sun; Yongjie Xu; Lei Shang; Baigui Sun; Stan Z. Li (CoRR, 2022)

Protein Language Models and Structure Prediction: Connection and Progression. - Bozhen Hu; Jun Xia 001; Jiangbin Zheng 002; Cheng Tan 012; Yufei Huang 002; Yongjie Xu; Stan Z. Li (CoRR, 2022)

Non-equispaced Fourier Neural Solvers for PDEs. - Haitao Lin; Lirong Wu; Yongjie Xu; Yufei Huang 002; Siyuan Li 002; Guojiang Zhao; Stan Z. Li (CoRR, 2022)

Model-based automated testing of JavaScript Web applications via longer test sequences. - Pengfei Gao; Yongjie Xu; Fu Song; Taolue Chen 001 (Frontiers Comput. Sci., 2022)

Deep manifold embedding of attributed graphs. - Zelin Zang; Siyuan Li 002; Di Wu 057; Jianzhu Guo; Yongjie Xu; Stan Z. Li (Neurocomputing, 2022)

ESampler: Boosting sampling of satisfying assignments for Boolean formulas via derivation. - Yongjie Xu; Fu Song; Taolue Chen 001 (J. Syst. Archit., 2022)

Application of FBG Sensor to Safety Monitoring of Mine Shaft Lining Structure. - Kun Hu; Zhishu Yao; Yanshuang Wu; Yongjie Xu; Xiaojian Wang; Chen Wang (Sensors, 2022)

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. - Cheng Tan 012; Zhangyang Gao; Lirong Wu; Yongjie Xu; Jun Xia 001; Siyuan Li 002; Stan Z. Li (CVPR, 2023)

Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. - Jun Xia 001; Ge Wang; Bozhen Hu; Cheng Tan 012; Jiangbin Zheng 002; Yongjie Xu; Stan Z. Li (ICASSP, 2023)

UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. - Zelin Zang; Yongjie Xu; Linyan Lu; Yulan Geng; Senqiao Yang; Stan Z. Li (Neural Networks, 2023)

MuST: Maximizing the Latent Capacity of Spatial Transcriptomics Data with Multi-modality Structure Transformation. - Zelin Zang; Liangyu Li; Yongjie Xu; Jiahao Li; Chenrui Duan; Yi Sun; Zhen Lei 001; Stan Z. Li (BIBM, 2024)

PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. - Chenrui Duan; Zelin Zang; Siyuan Li 002; Yongjie Xu; Stan Z. Li (NeurIPS, 2024)

Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. - Bozhen Hu; Cheng Tan 012; Jun Xia 001; Yue Liu 008; Lirong Wu; Jiangbin Zheng 002; Yongjie Xu; Yufei Huang 002; Stan Z. Li (NeurIPS, 2024)

ProtGO: Function-Guided Protein Modeling for Unified Representation Learning. - Bozhen Hu; Cheng Tan 012; Yongjie Xu; Zhangyang Gao; Jun Xia 001; Lirong Wu; Stan Z. Li (NeurIPS, 2024)

FGeneBERT: function-driven pre-trained gene language model for metagenomics. - Chenrui Duan; Zelin Zang; Yongjie Xu; Hang He; Siyuan Li 002; Zihan Liu; Zhen Lei 001; Ju-Sheng Zheng; Stan Z. Li (Briefings Bioinform., 2024)

Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation. - Yongjie Xu; Zelin Zang; Bozhen Hu; Yue Yuan; Cheng Tan 012; Jun Xia 001; Stan Z. Li (Briefings Bioinform., 2024)

Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model. - Yongjie Xu; Zengjie Yu; Yisheng Li; Yuehan Liu; Ye Li 002; Yishan Wang (Comput. Methods Programs Biomed., 2024)

Must: Maximizing Latent Capacity of Spatial Transcriptomics Data. - Zelin Zang; Liangyu Li; Yongjie Xu; Chenrui Duan; Kai Wang 036; Yang You 001; Yi Sun; Stan Z. Li (CoRR, 2024)

FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics. - Chenrui Duan; Zelin Zang; Yongjie Xu; Hang He; Zihan Liu; Zijia Song; Ju-Sheng Zheng; Stan Z. Li (CoRR, 2024)

A Review of Artificial Intelligence based Biological-Tree Construction: Priorities, Methods, Applications and Trends. - Zelin Zang; Yongjie Xu; Chenrui Duan; Jinlin Wu; Stan Z. Li; Zhen Lei 001 (CoRR, 2024)

GNN Cleaner: Label Cleaner for Graph Structured Data. - Jun Xia 001; Haitao Lin; Yongjie Xu; Cheng Tan 012; Lirong Wu; Siyuan Li 002; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 2024)

DMT-EV: An Explainable Deep Network for Dimension Reduction. - Zelin Zang; Shenghui Cheng; Hanchen Xia; Liangyu Li; Yaoting Sun; Yongjie Xu; Lei Shang; Baigui Sun; Stan Z. Li (IEEE Trans. Vis. Comput. Graph., 2024)

LaserGuider: A Laser Based Physical Backdoor Attack Against Deep Neural Networks. - Yongjie Xu; Guangke Chen; Fu Song; Yuqi Chen 001 (ACNS (3), 2025)

Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis. - Abdur Rasool; Saba Aslam; Yongjie Xu; Yishan Wang; Yi Pan 001; Weiyang Chen (Neurocomputing, 2025)

A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends. - Zelin Zang; Yongjie Xu; Chenrui Duan; Yue Yuan; Yue Shen; Jinlin Wu; Zhen Lei 001; Stan Z. Li (Inf. Fusion, 2025)

Hierarchical Quantized Diffusion Based Tree Generation Method for Hierarchical Representation and Lineage Analysis. - Zelin Zang; WenZhe Li; Fei Chen; Yongjie Xu; Chang Yu 001; Zhen Lei 001; Stan Z. Li (CoRR, 2025)