Yongjie Xu - RankMe

32 papers A* 5C 1Misc 2Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends. Inf. Fusion Zelin Zang, Yongjie Xu, Chenrui Duan, Yue Yuan, Yue Shen, Jinlin Wu, Zhen Lei, Stan Z. Li
2025	J	`jnl`	Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation. Briefings Bioinform. Yongjie Xu, Zelin Zang, Bozhen Hu, Yue Yuan, Cheng Tan, Jun Xia, Stan Z. Li
2025	J	`jnl`	FGeneBERT: function-driven pre-trained gene language model for metagenomics. Briefings Bioinform. Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Siyuan Li, Zihan Liu, Zhen Lei, Ju-Sheng Zheng, Stan Z. Li
2025	J	`jnl`	Hierarchical Quantized Diffusion Based Tree Generation Method for Hierarchical Representation and Lineage Analysis. CoRR Zelin Zang, Wenzhe Li, Fei Chen, Yongjie Xu, Chang Yu, Zhen Lei, Stan Z. Li
2025	J	`jnl`	MuST: multiple-modality structure transformation for single-cell spatial transcriptomics. Briefings Bioinform. Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Yue Shen, Yi Sun, Zhen Lei, Stan Z. Li
2024	J	`jnl`	A Review of Artificial Intelligence based Biological-Tree Construction: Priorities, Methods, Applications and Trends. CoRR Zelin Zang, Yongjie Xu, Chenrui Duan, Jinlin Wu, Stan Z. Li, Zhen Lei
2024	J	`jnl`	DMT-EV: An Explainable Deep Network for Dimension Reduction. IEEE Trans. Vis. Comput. Graph. Zelin Zang, Shenghui Cheng, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li
2024	J	`jnl`	FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics. CoRR Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Zihan Liu, Zijia Song, Ju-Sheng Zheng, Stan Z. Li
2024	J	`jnl`	GNN Cleaner: Label Cleaner for Graph Structured Data. IEEE Trans. Knowl. Data Eng. Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li
2024	A*	`conf`	Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. NeurIPS Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li
2024	—	`conf`	MuST: Maximizing the Latent Capacity of Spatial Transcriptomics Data with Multi-modality Structure Transformation. BIBM Zelin Zang, Liangyu Li, Yongjie Xu, Jiahao Li, Chenrui Duan, Yi Sun, Zhen Lei, Stan Z. Li
2024	J	`jnl`	Must: Maximizing Latent Capacity of Spatial Transcriptomics Data. CoRR Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Kai Wang, Yang You, Yi Sun, Stan Z. Li
2024	A*	`conf`	PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. NeurIPS Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li
2024	J	`jnl`	PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. CoRR Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li
2024	A*	`conf`	ProtGO: Function-Guided Protein Modeling for Unified Representation Learning. NeurIPS Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li
2023	A*	`conf`	Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li
2023	J	`jnl`	UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. Neural Networks Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li
2023	Misc	`conf`	Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. ICASSP Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li
2022	A*	`conf`	Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li
2022	J	`jnl`	Deep manifold embedding of attributed graphs. Neurocomputing Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	EVNet: An Explainable Deep Network for Dimension Reduction. CoRR Zelin Zang, Shenghui Cheng, Linyan Lu, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li
2022	J	`jnl`	Non-equispaced Fourier Neural Solvers for PDEs. CoRR Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li
2022	Misc	`conf`	OT Cleaner: Label Correction as Optimal Transport. ICASSP Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	Protein Language Models and Structure Prediction: Connection and Progression. CoRR Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. CoRR Zelin Zang, Yongjie Xu, Yulan Geng, Siyuan Li, Stan Z. Li
2021	J	`jnl`	Ship Classification in SAR Images With Geometric Transfer Metric Learning. IEEE Trans. Geosci. Remote. Sens. Yongjie Xu, Haitao Lang
2021	J	`jnl`	Unsupervised Deep Manifold Attributed Graph Embedding. CoRR Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li
2020	J	`jnl`	Distribution Shift Metric Learning for Fine-Grained Ship Classification in SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yongjie Xu, Haitao Lang
2019	J	`jnl`	Discriminative Adaptation Regularization Framework-Based Transfer Learning for Ship Classification in SAR Images. IEEE Geosci. Remote. Sens. Lett. Yongjie Xu, Haitao Lang, Lihui Niu, Chenguang Ge
2019	C	`conf`	Distribution Discrepancy Maximization Metric Learning for Ship Classification in Synthetic Aperture Radar Images. IGARSS Yongjie Xu, Haitao Lang, Xiaopeng Chai
2018	J	`jnl`	Ship Classification in SAR Images Improved by AIS Knowledge Transfer. IEEE Geosci. Remote. Sens. Lett. Haitao Lang, Siwen Wu, Yongjie Xu