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ORCIDZelin Zang
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2020 – today
- 2025
[j8]Zelin Zang
, Yongjie Xu, Chenrui Duan, Yue Yuan, Yue Shen, Jinlin Wu, Zhen Lei, Stan Z. Li:
A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends. Inf. Fusion 121: 103108 (2025)- [j7]Siyuan Li, Zicheng Liu, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li:
GenURL: A General Framework for Unsupervised Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 286-298 (2025) - 2024
- [j6]Zelin Zang, Shenghui Cheng, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li:
DMT-EV: An Explainable Deep Network for Dimension Reduction. IEEE Trans. Vis. Comput. Graph. 30(3): 1710-1727 (2024) - [c14]Zelin Zang, Liangyu Li, Yongjie Xu, Jiahao Li, Chenrui Duan, Yi Sun, Zhen Lei, Stan Z. Li:
MuST: Maximizing the Latent Capacity of Spatial Transcriptomics Data with Multi-modality Structure Transformation. BIBM 2024: 1321-1326 - [c13]Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li:
Deep Manifold Transformation for Protein Representation Learning. ICASSP 2024: 1801-1805 - [c12]Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You:
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation. ICML 2024 - [c11]Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li:
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. NeurIPS 2024 - [c10]Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li:
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. NeurIPS 2024 - [i26]Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li:
Graph-level Protein Representation Learning by Structure Knowledge Refinement. CoRR abs/2401.02713 (2024) - [i25]Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li:
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR abs/2401.06727 (2024) - [i24]Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Kai Wang, Yang You, Yi Sun, Stan Z. Li:
Must: Maximizing Latent Capacity of Spatial Transcriptomics Data. CoRR abs/2401.07543 (2024) - [i23]Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li:
Deep Manifold Transformation for Protein Representation Learning. CoRR abs/2402.09416 (2024) - [i22]Kai Wang, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You:
Neural Network Diffusion. CoRR abs/2402.13144 (2024) - [i21]Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Zihan Liu, Zijia Song, Ju-Sheng Zheng, Stan Z. Li:
FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics. CoRR abs/2402.16901 (2024) - [i20]Hong Liu, Xiuxiu Qiu, Yiming Shi, Zelin Zang:
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series. CoRR abs/2405.16258 (2024) - [i19]Zicheng Liu, Jiahui Li, Siyuan Li, Zelin Zang, Cheng Tan, Yufei Huang, Yajing Bai, Stan Z. Li:
GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models. CoRR abs/2406.01627 (2024) - [i18]Zijia Song, Zelin Zang, Yelin Wang, Guozheng Yang, Jiangbin Zheng, Kaicheng yu, Wanyu Chen, Stan Z. Li:
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment. CoRR abs/2406.05766 (2024) - [i17]Zelin Zang, Yongjie Xu, Chenrui Duan, Jinlin Wu, Stan Z. Li, Zhen Lei:
A Review of Artificial Intelligence based Biological-Tree Construction: Priorities, Methods, Applications and Trends. CoRR abs/2410.04815 (2024) - [i16]Zelin Zang, Yuhao Wang, Jinlin Wu, Hong Liu, Yue Shen, Stan Z. Li, Zhen Lei:
DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality Reduction. CoRR abs/2410.19504 (2024) - [i15]Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li:
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. CoRR abs/2412.18827 (2024) - 2023
- [j5]Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li:
UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. Neural Networks 161: 626-637 (2023) - [j4]Feiyang Guo, Linyan Lu, Zelin Zang, Mohammad Shikh-Bahaei:
Machine Learning for Predictive Deployment of UAVs With Multiple Access. IEEE Open J. Commun. Soc. 4: 908-921 (2023) - [c9]Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li:
Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP 2023: 1-5 - [c8]Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li:
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier. ICCV 2023: 11824-11833 - [c7]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. ICML 2023: 20149-20167 - [i14]Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You:
Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch. CoRR abs/2309.07909 (2023) - 2022
- [j3]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Deep manifold embedding of attributed graphs. Neurocomputing 514: 83-93 (2022) - [c6]Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li:
Exploring Localization for Self-supervised Fine-grained Contrastive Learning. BMVC 2022: 268 - [c5]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-Flatness Manifold Embedding. ECCV (21) 2022: 576-592 - [c4]Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li:
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. WACV 2022: 1668-1676 - [c3]Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li:
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. WSDM 2022: 591-598 - [i13]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. CoRR abs/2205.13943 (2022) - [i12]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-flatness Manifold Embedding. CoRR abs/2207.03160 (2022) - [i11]Zelin Zang, Yongjie Xu, Yulan Geng, Siyuan Li, Stan Z. Li:
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. CoRR abs/2207.03809 (2022) - [i10]Zelin Zang, Shenghui Cheng, Linyan Lu, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li:
EVNet: An Explainable Deep Network for Dimension Reduction. CoRR abs/2211.15478 (2022) - 2021
- [c2]Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li:
Invertible Manifold Learning for Dimension Reduction. ECML/PKDD (3) 2021: 713-728 - [i9]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Unsupervised Deep Manifold Attributed Graph Embedding. CoRR abs/2104.13048 (2021) - [i8]Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. CoRR abs/2106.15788 (2021) - [i7]Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li:
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. CoRR abs/2110.10482 (2021) - [i6]Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li:
GenURL: A General Framework for Unsupervised Representation Learning. CoRR abs/2110.14553 (2021) - 2020
- [j2]Guoqi Chen, Wanliang Wang, Zheng Wang, Honghai Liu, Zelin Zang, Weikun Li:
Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition. Appl. Intell. 50(10): 3503-3520 (2020) - [i5]Linyan Lu, Zhaohui Yang, Mingzhe Chen, Zelin Zang, Mohammad Shikh-Bahaei:
Machine Learning for Predictive Deployment of UAVs with Multiple Access. CoRR abs/2003.02631 (2020) - [i4]Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li:
Deep Clustering and Representation Learning that Preserves Geometric Structures. CoRR abs/2009.09590 (2020) - [i3]Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li:
Invertible Manifold Learning for Dimension Reduction. CoRR abs/2010.04012 (2020) - [i2]Stan Z. Li, Zelin Zang, Lirong Wu:
Deep Manifold Computing and Visualization. CoRR abs/2010.14831 (2020) - [i1]Stan Z. Li, Lirong Wu, Zelin Zang:
Consistent Representation Learning for High Dimensional Data Analysis. CoRR abs/2012.00481 (2020)
2010 – 2019
- 2019
- [j1]Zelin Zang, Wanliang Wang, Yuhang Song, Linyan Lu, Weikun Li, Yule Wang, Yanwei Zhao:
Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation. Comput. Intell. Neurosci. 2019: 7172842:1-7172842:19 (2019) - 2018
- [c1]Zelin Zang, Wanliang Wang, Linyan Lu, Yanwei Zhao:
Fish Swarm Based Man-Machine Cooperative Photographing Location Positioning Algorithm. CDVE 2018: 262-269
Coauthor Index
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last updated on 2025-05-26 23:13 CEST by the dblp team
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