Ship Classification in SAR Images Improved by AIS Knowledge Transfer. - Haitao Lang; Siwen Wu; Yongjie Xu 001 (IEEE Geosci. Remote. Sens. Lett., 2018)

Distribution Discrepancy Maximization Metric Learning for Ship Classification in Synthetic Aperture Radar Images. - Yongjie Xu 001; Haitao Lang; Xiaopeng Chai (IGARSS, 2019)

Discriminative Adaptation Regularization Framework-Based Transfer Learning for Ship Classification in SAR Images. - Yongjie Xu 001; 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 001; Haitao Lang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Unsupervised Deep Manifold Attributed Graph Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Jianzhu Guo; Yongjie Xu 001; Stan Z. Li (CoRR, 2021)

Ship Classification in SAR Images With Geometric Transfer Metric Learning. - Yongjie Xu 001; Haitao Lang (IEEE Trans. Geosci. Remote. Sens., 2021)

Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. - Haitao Lin; Zhangyang Gao; Yongjie Xu 001; 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 001; Stan Z. Li (ICASSP, 2022)

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. - Cheng Tan 012; Zhangyang Gao; Siyuan Li 002; Yongjie Xu 001; Stan Z. Li (CoRR, 2022)

UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. - Zelin Zang; Yongjie Xu 001; 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 001; 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 001; Stan Z. Li (CoRR, 2022)

Non-equispaced Fourier Neural Solvers for PDEs. - Haitao Lin; Lirong Wu; Yongjie Xu 001; Yufei Huang 002; Siyuan Li 002; Guojiang Zhao; Stan Z. Li (CoRR, 2022)

Deep manifold embedding of attributed graphs. - Zelin Zang; Siyuan Li 002; Di Wu 057; Jianzhu Guo; Yongjie Xu 001; Stan Z. Li (Neurocomputing, 2022)

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

UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. - Zelin Zang; Yongjie Xu 001; 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 001; 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 001; 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 001; Yufei Huang 002; Stan Z. Li (NeurIPS, 2024)

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

Must: Maximizing Latent Capacity of Spatial Transcriptomics Data. - Zelin Zang; Liangyu Li; Yongjie Xu 001; 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 001; 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 001; 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 001; 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 001; Lei Shang; Baigui Sun; Stan Z. Li (IEEE Trans. Vis. Comput. Graph., 2024)

MuST: multiple-modality structure transformation for single-cell spatial transcriptomics. - Zelin Zang; Liangyu Li; Yongjie Xu 001; Chenrui Duan; Yue Shen; Yi Sun; Zhen Lei 001; Stan Z. Li (Briefings Bioinform., 2025)

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

Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation. - Yongjie Xu 001; Zelin Zang; Bozhen Hu; Yue Yuan; Cheng Tan 012; Jun Xia 001; Stan Z. Li (Briefings Bioinform., 2025)

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

FGeneBERT: function-driven pre-trained gene language model for metagenomics. - Chenrui Duan; Zelin Zang; Yongjie Xu 001; Hang He; Siyuan Li 002; Zihan Liu; Zhen Lei 001; Ju-Sheng Zheng; Stan Z. Li (Briefings Bioinform., 2025)