Miao Xu, Xiangyu Zhu, Zidu Wang, Xusheng Liang, Bao Li, Jinlin Wu, Zelin Zang, Zhen Lei. (2026). "ReGenHOI: Unifying Reconstruction and Generation for 3D Human–Object Interaction Understanding." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Zelin Zang, Wenyi Gu, Siqi Ma, Dan Yang, Yue Shen, Zhu Zhang, Guohui Fan, Wing-Kuen Ling, Fuji Yang. (2026). "A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning." IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
Zelin Zang, WenZhe Li, Yongjie Xu, Chang Yu, Changxi Chi, Jingbo Zhou, Zhen Lei, Stan Z. Li. (2026). "HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference." International Conference on Machine Learning (ICML).
Changxi Chi, Jun Xia, Yufei Huang, Zhuoli Ouyang, Cheng Tan, Yunfan Liu, Jingbo Zhou, Chang Yu, Liangyu Yuan, Siyuan Li, Zelin Zang, Stan Z. Li. (2026). "Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation." International Conference on Learning Representations (ICLR).
Chang Yu, Siyuan Li, Zicheng Liu, Jingbo Zhou, Xianglong Guo, Kai Yu, Yuqing Zhou, Ken Li, Zelin Zang, Zhen Lei, Stan Z. Li. (2026). "CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological Modeling." International Conference on Learning Representations (ICLR).
Mengran Li, Wenbin Xing, Zelin Zang, Bo Li, Chengyang Zhang, Yong Zhang, Junzhou Chen, Ronghui Zhang, Yongfu Li, Chuan Hu, Xiaolei Ma, Zibin Zheng. (2026). "Adaptive Prototype-guided Personalized Propagation for Heterophilic Graphs with Missing Data." IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Siqi Ma, Jiajie Huang, Bolin Yang, Fan Zhang, Jinlin Wu, Yue Shen, Guohui Fan, Zhu Zhang, Zelin Zang. (2026). "MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models." AAAI Conference on Artificial Intelligence (AAAI).
Changxi Chi, Yufei Huang, Jun Xia, Jingbo Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li. (2026). "Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges." AAAI Conference on Artificial Intelligence (AAAI).
Mengran Li*, Zelin Zang*, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li. (2026). "Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling." AAAI Conference on Artificial Intelligence (AAAI).
Jinlin Wu, Filip Holm, Chuang Chen, Aoxiao Wang, Yutong Hu, Xiangyu Ye, Zelin Zang, Miao Xu, Lei Zhou, Hongliang Liao, et al. (2026). "UniSurg: A Video-Native Foundation Model for Universal Understanding of Surgical Videos." arXiv preprint arXiv:2602.05638.
Rui Sheng, Zelin Zang, Jiachen Wang, Yan Luo, Zixin Chen, Yan Zhou, Shaolun Ruan, Huamin Qu. (2026). "CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery." IEEE Transactions on Visualization and Computer Graphics (TVCG).
Gaoyang Luo*, Zelin Zang*, et al. (2026). "Expanding the RNA Virus Universe by Deep Learning Discovery with Rider." Under Review at Nature Methods.
Zelin Zang, et al. (2026). "Single Cell Lineage Foundation Model." Under Review at Nature Machine Intelligence.
Yan Zhou*, Yingrui Wang*, Xiao Shi*, Jiatong Wang*, Zelin Zang*, Likun Zhang*, Zhiqiang Gui, Xue Cai, Pingping Hu, Jiaxi Wang, Hanqing Liu, Zhihong Wang, Haixia Guan, Xiaohong Wu, Cenkai Shen, Yi He, Mo Li, Hao Zhang, Jianbiao Wang, Yijun Wu, Chuang Chen, Yi Zhu, Yaoting Sun, Zhiyan Liu, Yu Wang, Tiannan Guo. (2026). "Multi-center multi-omics integration predicts individualized prognosis in medullary thyroid carcinoma." Nature Communications, 17(432).
Zelin Zang, Chenrui Duan, Siyuan Li, Jinlin Wu, BingoWing-Kuen Ling, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li. (2026). "MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference." Transactions on Machine Learning Research.
Zelin Zang, Yuhao Wang, Jinlin Wu, Hong Liu, Yue Shen, Zhen Lei, Stan. Z Li. (2026). "DMT-ME: MOE-Enhanced Explanable Deep Manifold Transformation for Complex Data Embedding and Visualization." IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Zelin Zang, Yutong Song, Bingo Wing-Kuen Ling, Aoxiao Wang, Fuji Yang. (2025). "The Dawn of Agentic EDA: A Survey of Autonomous Digital Chip Design." arXiv preprint arXiv:2512.23189.
Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Siyuan Li, Zihan Liu, Zhen Lei, Ju-Sheng Zheng, Stan Z. Li. (2025). "FGeneBERT: Function-driven pre-trained gene language model for metagenomics." Briefings in Bioinformatics.
Miao Xu, Xiangyu Zhu, Jinlin Wu, Ming Feng, Zelin Zang, Hongbin Liu, Zhen Lei. (2025). "Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes." Medical Image Computing and Computer Assisted Intervention (MICCAI).
Yufei Huang, Bangyan Liao, Yuqi Hu, Haitao Lin, Lirong Wu, Siyuan Li, Cheng Tan, Zicheng Liu, Yunfan Liu, Zelin Zang, Chang Yu, Zhen Lei. (2025). "DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Hong Liu, Xiuxiu Qiu, Yiming Shi, Zelin Zang. (2025). "USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series." ICASSP 2025.
Hong Liu, Xiuxiu Qiu, Yiming Shi, Miao Xu, Zelin Zang, Zhen Lei. (2025). "Deep Multimanifold Transformation-Based Multivariate Time Series Fault Detection." IEEE TNNLS.
Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Yue Shen, Yi Sun, Zhen Lei, Stan Z. Li. (2025). "MuST: Advancing Unified Spatial Transcriptomics Multitask Analysis with Multimodal Structure Transformation." Briefings in Bioinformatics.
Zelin Zang*, Yongjie Xu*, Bozhen Hu, Yue Yuan, Cheng Tan, Jun Xia, Stan Z. Li. (2025). "Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation." Briefings in Bioinformatics.
Zelin Zang, Yongjie Xu, Chenrui Duan, Jinlin Wu, Stan Z. Li, Zhen Lei. (2025). "A review of artificial intelligence based biological-tree construction: Priorities, methods, applications and trends." Information Fusion.
Chenrui Duan*, Zelin Zang*, Siyuan Li, Yongjie Xu, Stan Z. Li. (2024). "PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation." NeurIPS 2024.
Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Li, Yang You. (2024). "DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation." International Conference on Machine Learning (ICML).
Kai Wang, Dongwen Tang, Boya Zeng, Yida Yin, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You. (2024). "Neural network diffusion." arXiv preprint arXiv:2402.13144.
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Zelin Zang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka. (2024). "The heterophilic graph learning handbook: Benchmarks, models, theoretical analysis, applications and challenges." arXiv preprint arXiv:2407.09618.
Zelin Zang, Shenghui Cheng, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li. (2024). "DMTEV: An Explainable Deep Network for Dimension Reduction." IEEE Transactions on Visualization and Computer Graphics (TVCG).
Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li. (2023). "Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier." ICCV 2023.
Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li. (2023). "UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection." Neural Networks.
Yongjie Xu*, Zelin Zang*, Jun Xia, Cheng Tan, Yulan Geng, Stan Z. Li. (2023). "Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction." Communications Biology.
Kailong Zhao, Yuhao Xia, Fujin Zhang, Zelin Zang, Stan Z. Li, Guijun Zhang. (2023). "Protein structure and folding pathway prediction based on remote homologs recognition using PAthreader." Communications biology.
Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Li. (2023). "Architecture-Agnostic Masked Image Modeling--From ViT back to CNN." International Conference on Machine Learning (ICML23).
Feiyang Guo, Linyan Lu, Zelin Zang, Mohammad Shikh-Bahaei. (2023). "Machine learning for predictive deployment of UAVs with multiple access." IEEE Open Journal of the Communications Society.
Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li. (2023). "Align yourself: Self-supervised pre-training for fine-grained recognition via saliency alignment." IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li. (2022). "DLME: Deep Local-flatness Manifold Embedding." ECCV 2022.
Yaoting Sun*, Sathiyamoorthy Selvarajan*, Zelin Zang*, Wei Liu, Yi Zhu, Hao Zhang, Wanyuan Chen, Hao Chen, Lu Li, Xue Cai, Huanhuan Gao, Zhicheng Wu, Yongfu Zhao, Lirong Chen, Xiaodong Teng, Sangeeta Mantoo, Tony Kiat-Hon Lim, Bhuvaneswari Hariraman, Serene Yeow, Syed Muhammad Fahmy Alkaff, Sze Sing Lee, Guan Ruan, Qiushi Zhang, Tiansheng Zhu, Yifan Hu, Zhen Dong, Weigang Ge, Qi Xiao, Weibin Wang, Guangzhi Wang, Junhong Xiao, Yi He, Zhihong Wang, Wei Sun, Yuan Qin, Jiang Zhu, Xu Zheng, Linyan Wang, Xi Zheng, Kailun Xu, Yingkuan Shao, Shu Zheng, Kexin Liu, Ruedi Aebersold, Haixia Guan, Xiaohong Wu, Dingcun Luo, Wen Tian, Stan Ziqing Li, Oi Lian Kon, Narayanan Gopalakrishna Iyer, Tiannan Guo. (2022). "Artificial intelligence defines protein-based classification of thyroid nodules." Cell Discovery.
Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li. (2022). "Deep manifold embedding of attributed graphs." Neurocomputing.
Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li. (2022). "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation." IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Kai Zhou*, Yaoting Sun*, Lu Li*, Zelin Zang*, Jing Wang, Jun Li, Junbo Liang, Fangfei Zhang, Qiushi Zhang, Weigang Ge, Li Yang, Hao Chen, Lu He, Xiaohong Wu, Mingfeng Pei, Hong Zhu, Junhong Xiao, Jinming Li, Sujie Cao, Han Yu, Dingcun Luo, Cheng Zhang, Yi Zhu, Baofu Chen, Stan Z. Li, Tiannan Guo. (2021). "Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements." Computational and structural biotechnology journal.
Fangfei Zhang, Shaoyang Yu, Lirong Wu, Zelin Zang, Xiao Yi, Jiang Zhu, Cong Lu, Ping Sun, Yaoting Sun, Sathiyamoorthy Selvarajan, Lirong Chen, Xiaodong Teng, Yongfu Zhao, Guangzhi Wang, Junhong Xiao, Shiang Huang, Oi Lian Kon, N. Gopalakrishna Iyer, Stan Z. Li, Zhongzhi Luan, Tiannan Guo. (2020). "Phenotype classification using proteome data in a data-independent acquisition tensor format." Journal of the American Society for Mass Spectrometry.
Stan Z. Li, Zelin Zang, Lirong Wu. (2020). "Markov-lipschitz deep learning." arXiv preprint arXiv:2006.08256.
Guoqi Chen, Wanliang Wang, Zheng Wang, Honghai Liu, Zelin Zang, Weikun Li. (2020). "Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition." Applied Intelligence.
Zelin Zang, Wanliang Wang, Yuhang Song, Linyan Lu, Weikun Li, Yule Wang, Yanwei Zhao. (2019). "Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation." Computational intelligence and neuroscience.
Jin-Ting Ding, Hang-Yao Tu, Ze-Lin Zang, Min Huang, Sheng-Jun Zhou. (2018). "Precise control and prediction of the greenhouse growth environment of Dendrobium candidum." Computers and electronics in agriculture.
Planning Meeting at CAIR Strategic Research Planning Session, Hong Kong
Technical Proposal at BGI Virtual Cell Project Planning Meeting, Shenzhen, China
Research Seminar at BGI Proteomics Research Seminar, Shenzhen, China
Academic Seminar at Computational Biology Research Seminar, Beijing, China
Progress Report at Rootcloud AI Project Review Meeting, Shanghai, China
Seminar Presentation at Medical AI Research Seminar (Ant Group Collaboration), Hangzhou, China
Project Proposal at CAIR Research Proposal Presentation, Hong Kong
Workshop Presentation at Guangzhou Health Data Intelligence Workshop, Guangzhou, China
Progress Report at Proteomics and Single-Cell Biology Workshop, Shanghai, China
Keynote Speech at Multi-Modal Biological Data Integration Symposium (Opening Ceremony), Beijing, China
Ph.D. Dissertation Defense at Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
Invited Lecture at West Coast AI in Healthcare Conference, San Francisco, CA, USA
Research Talk at Computational Biology Seminar, Beijing, China
Forum Presentation at High-Dimensional Data Analysis Research Forum, Shanghai, China
Technical Seminar at AI Technology Forum, Hangzhou, China
Research Preview at BGI Research Seminar, Shenzhen, China
Research Seminar at CAIR (Centre for Artificial Intelligence Research), Hong Kong, Hong Kong
Technical Discussion at Team Technical Meeting, Hangzhou, China
Poster Presentation at International Conference on Machine Learning (ICML 2024), Vienna, Austria
Job Talk at Westlake University / Zhejiang University Joint Faculty Interview, Hangzhou, China
Research Talk at BGI Genomics (Hangzhou Genomics Institute), Hangzhou, China
Research Talk at Biomedical AI Symposium, Hangzhou, China
Lecture at National University of Singapore, HPC-AI Lab, Singapore
Research Presentation at Lab Research Seminar, Hangzhou, China
Presentation at FINE Research Assessment, Beijing, China
Talk at Fudan University, School of Computer Science, Shanghai, China