Fish Swarm Based Man-Machine Cooperative Photographing Location Positioning Algorithm. - Zelin Zang; Wanliang Wang; Linyan Lu; Yanwei Zhao (CDVE, 2018)

Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation. - Zelin Zang; Wanliang Wang; Yuhang Song 002; Linyan Lu; Weikun Li; Yule Wang; Yanwei Zhao (Comput. Intell. Neurosci., 2019)

Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition. - Guoqi Chen; Wanliang Wang; Zheng Wang 048; Honghai Liu 001; Zelin Zang; Weikun Li (Appl. Intell., 2020)

Machine Learning for Predictive Deployment of UAVs with Multiple Access. - Linyan Lu; Zhaohui Yang 001; Mingzhe Chen; Zelin Zang; Mohammad Shikh-Bahaei (CoRR, 2020)

Deep Clustering and Representation Learning that Preserves Geometric Structures. - Lirong Wu; Zicheng Liu 006; Zelin Zang; Jun Xia 001; Siyuan Li 002; Stan Z. Li (CoRR, 2020)

Deep Manifold Computing and Visualization. - Stan Z. Li; Zelin Zang; Lirong Wu (CoRR, 2020)

Consistent Representation Learning for High Dimensional Data Analysis. - Stan Z. Li; Lirong Wu; Zelin Zang (CoRR, 2020)

Invertible Manifold Learning for Dimension Reduction. - Siyuan Li 002; Haitao Lin; Zelin Zang; Lirong Wu; Jun Xia 001; Stan Z. Li (ECML/PKDD (3), 2021)

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

Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. - Di Wu 057; Siyuan Li 002; Zelin Zang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (CoRR, 2021)

GenURL: A General Framework for Unsupervised Representation Learning. - Siyuan Li 002; Zelin Zang; Di Wu 057; Zhiyuan Chen 008; Stan Z. Li (CoRR, 2021)

Exploring Localization for Self-supervised Fine-grained Contrastive Learning. - Di Wu 057; Siyuan Li 002; Zelin Zang; Stan Z. Li (BMVC, 2022)

DLME: Deep Local-Flatness Manifold Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Ge Wang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (ECCV (21), 2022)

Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. - Lirong Wu; Zicheng Liu 006; Jun Xia 001; Zelin Zang; Siyuan Li 002; Stan Z. Li (WACV, 2022)

Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. - Zihan Liu; Yun Luo; Zelin Zang; Stan Z. Li (WSDM, 2022)

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. - Siyuan Li 002; Di Wu 057; Fang Wu 002; Zelin Zang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (CoRR, 2022)

DLME: Deep Local-flatness Manifold Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Ge Wang; Lei Shang; Baigui Sun; Hao Li 030; 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)

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

Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. - Bozhen Hu; Zelin Zang; Jun Xia 001; Lirong Wu; Cheng Tan 012; Stan Z. Li (ICASSP, 2023)

Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier. - Zelin Zang; Lei Shang; Senqiao Yang; Fei Wang; Baigui Sun; Xuansong Xie; Stan Z. Li (ICCV, 2023)

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. - Siyuan Li 002; Di Wu 057; Fang Wu 002; Zelin Zang; Stan Z. Li (ICML, 2023)

Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch. - Zelin Zang; Hao Luo 004; Kai Wang 036; Panpan Zhang; Fan Wang 019; Stan Z. Li; Yang You 001 (CoRR, 2023)

Machine Learning for Predictive Deployment of UAVs With Multiple Access. - Feiyang Guo; Linyan Lu; Zelin Zang; Mohammad Shikh-Bahaei (IEEE Open J. Commun. Soc., 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)

Deep Manifold Transformation for Protein Representation Learning. - Bozhen Hu; Zelin Zang; Cheng Tan 012; Stan Z. Li (ICASSP, 2024)

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation. - Zelin Zang; Hao Luo 004; Kai Wang 036; Panpan Zhang; Fan Wang 019; Stan Z. Li; Yang You 001 (ICML, 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)

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. - Jingbo Zhou; Yixuan Du; Ruqiong Zhang; Jun Xia 001; Zhizhi Yu; Zelin Zang; Di Jin 001; Carl Yang 001; Rui Zhang; 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)

Graph-level Protein Representation Learning by Structure Knowledge Refinement. - Ge Wang; Zelin Zang; Jiangbin Zheng 002; Jun Xia 001; Stan Z. Li (CoRR, 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)

Neural Network Diffusion. - Kai Wang 036; Zhaopan Xu; Yukun Zhou; Zelin Zang; Trevor Darrell; Zhuang Liu 003; Yang You 001 (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)

GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models. - Zicheng Liu 006; Jiahui Li; Siyuan Li 002; Zelin Zang; Cheng Tan 012; Yufei Huang 002; Yajing Bai; Stan Z. Li (CoRR, 2024)

Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment. - Zijia Song; Zelin Zang; Yelin Wang; Guozheng Yang; Jiangbin Zheng 002; Kaicheng yu; Wanyu Chen; 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)

DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality Reduction. - Zelin Zang; Yuhao Wang; Jinlin Wu; Hong Liu; Yue Shen; Stan Z. Li; Zhen Lei 001 (CoRR, 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)

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing. - Yufei Huang 002; Bangyan Liao; Yuqi Hu; Haitao Lin; Lirong Wu; Siyuan Li 002; Cheng Tan 012; Zicheng Liu 006; Yunfan Liu 002; Zelin Zang; Chang Yu 001; Zhen Lei 001 (CVPR, 2025)

USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series. - Hong Liu; Xiuxiu Qiu; Yiming Shi; Zelin Zang (ICASSP, 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)

GenURL: A General Framework for Unsupervised Representation Learning. - Siyuan Li 002; Zicheng Liu 006; Zelin Zang; Di Wu 057; Zhiyuan Chen 008; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation. - Zelin Zang; Fei Wang; Liangyu Li; Jinlin Wu; Chunshui Zhao; Zhen Lei 001; Baigui Sun (CoRR, 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)