Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery

Zelin Zang, et al., IEEE Transactions on Visualization and Computer Graphics (TVCG), 2026, CCF-A, Corresponding Author

Expanding the RNA Virus Universe by Deep Learning Discovery with Rider

Gaoyang Luo*, Zelin Zang*, et al., Nature Methods (Under Review), Top Journal, Co-first Author

Single Cell Lineage Foundation Model

Zelin Zang, et al., Nature Machine Intelligence (Under Review), Top Journal, First Author

Multi-center multi-omics integration predicts individualized prognosis in medullary thyroid carcinoma

Yaoting Sun*, Zelin Zang*, et al., Nature Communications, 2026, Top Journal, Co-first Author

MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference

Zelin Zang, et al., Journal of Machine Learning Research (JMLR), 2026, CCF-A, First Author

DMT-ME: MOE-Enhanced Explanable Deep Manifold Transformation for Complex Data Embedding and Visualization

Zelin Zang, et al., IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026, CCF-A, IF=20, First Author

Deep Multimanifold Transformation-Based Multivariate Time Series Fault Detection

Zelin Zang, et al., IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025, CCF-B, Corresponding Author

MuST: Advancing Unified Spatial Transcriptomics Multitask Analysis with Multimodal Structure Transformation

Zelin Zang, et al., Briefings in Bioinformatics, 2025, CCF-B, AI4SCI, First Author

A review of artificial intelligence based biological-tree construction: Priorities, methods, applications and trends

Zelin Zang, et al., Information Fusion, 2025, CCF-A, IF=15.6, First Author

Neural network diffusion

Kai Wang, Dongwen Tang, Boya Zeng, Yida Yin, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You, arXiv preprint arXiv:2402.13144, 2024

The heterophilic graph learning handbook: Benchmarks, models, theoretical analysis, applications and challenges

Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Zelin Zang, Doina Precup, et al., arXiv preprint arXiv:2407.09618, 2024

DMTEV: 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 Transactions on Visualization and Computer Graphics (TVCG), 2024, CCF-A, First Author

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, CCF-B, First Author

Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction

Yongjie Xu*, Zelin Zang*, et al., Communications Biology, 2023, IF=6.5, Co-first Author

Protein structure and folding pathway prediction based on remote homologs recognition using PAthreader

Kailong Zhao, Yuhao Xia, Fujin Zhang, Zelin Zang, Stan Z. Li, Guijun Zhang, Communications biology, 2023

Machine learning for predictive deployment of UAVs with multiple access

Feiyang Guo, Linyan Lu, Zelin Zang, Mohammad Shikh-Bahaei, IEEE Open Journal of the Communications Society, 2023

Artificial intelligence defines protein-based classification of thyroid nodules

Yaoting Sun, Sathiyamoorthy Selvarajan, Zelin Zang*, Wei Liu, Yi Zhu, Hao Zhang, Wanyuan Chen, Hao Chen, Lu Li, Xue Cai, et al., Cell Discovery, 2022, IF=38, Co-first Author

Deep manifold embedding of attributed graphs

Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li, Neurocomputing, 2022, CCF-B, First Author

Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements

Kai Zhou, Yaoting Sun, Lu Li, Zelin Zang, Jing Wang, Jun Li, Junbo Liang, Fangfei Zhang, Qiushi Zhang, Weigang Ge, et al., Computational and structural biotechnology journal, 2021, Co-first Author

Align yourself: Self-supervised pre-training for fine-grained recognition via saliency alignment

Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li, arXiv preprint arXiv:2106.15788, 2021

Phenotype classification using proteome data in a data-independent acquisition tensor format

Fangfei Zhang, Shaoyang Yu, Lirong Wu, Zelin Zang, Xiao Yi, Jiang Zhu, Cong Lu, Ping Sun, Yaoting Sun, Sathiyamoorthy Selvarajan, et al., Journal of the American Society for Mass Spectrometry, 2020

Markov-lipschitz deep learning

Stan Z. Li, Zelin Zang, Lirong Wu, arXiv preprint arXiv:2006.08256, 2020, Co-first Author

Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition

Guoqi Chen, Wanliang Wang, Zheng Wang, Honghai Liu, Zelin Zang, Weikun Li, Applied Intelligence, 2020

Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation

Zelin Zang, Wanliang Wang, Yuhang Song, Linyan Lu, Weikun Li, Yule Wang, Yanwei Zhao, Computational intelligence and neuroscience, 2019, First Author

Precise control and prediction of the greenhouse growth environment of Dendrobium candidum

Jin-Ting Ding, Hang-Yao Tu, Ze-Lin Zang, Min Huang, Sheng-Jun Zhou, Computers and electronics in agriculture, 2018

Zelin Zang