Zelin Zang

According to our database, Zelin Zang authored at least 32 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 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

Neural Network Diffusion.

Kai Wang, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You

CoRR, 2024

Deep Manifold Transformation for Protein Representation Learning.

Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li

CoRR, 2024

Must: Maximizing Latent Capacity of Spatial Transcriptomics Data.

Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Kai Wang, Yang You, Yi Sun, Stan Z. Li

CoRR, 2024

Graph-level Protein Representation Learning by Structure Knowledge Refinement.

Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li

CoRR, 2024

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, April, 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

Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch.

Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You

CoRR, 2023

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN.

Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding.

Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep manifold embedding of attributed graphs.

Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li

Neurocomputing, 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

UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection.

Zelin Zang, Yongjie Xu, Yulan Geng, Siyuan Li, Stan Z. Li

CoRR, 2022

DLME: Deep Local-flatness Manifold Embedding.

Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CoRR, 2022

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN.

Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CoRR, 2022

Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks.

Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation.

Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

DLME: Deep Local-Flatness Manifold Embedding.

Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

Proceedings of the Computer Vision - ECCV 2022, 2022

Exploring Localization for Self-supervised Fine-grained Contrastive Learning.

Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

GenURL: A General Framework for Unsupervised Representation Learning.

Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li

CoRR, 2021

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

CoRR, 2021

Unsupervised Deep Manifold Attributed Graph Embedding.

Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li

CoRR, 2021

Invertible Manifold Learning for Dimension Reduction.

Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Consistent Representation Learning for High Dimensional Data Analysis.

Stan Z. Li, Lirong Wu, Zelin Zang

CoRR, 2020

Deep Manifold Computing and Visualization.

Stan Z. Li, Zelin Zang, Lirong Wu

CoRR, 2020

Deep Clustering and Representation Learning that Preserves Geometric Structures.

Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li

CoRR, 2020

Machine Learning for Predictive Deployment of UAVs with Multiple Access.

Linyan Lu, Zhaohui Yang, Mingzhe Chen, Zelin Zang, Mohammad Shikh-Bahaei

CoRR, 2020

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

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

Appl. Intell., 2020

2019

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

Comput. Intell. Neurosci., 2019

2018

Fish Swarm Based Man-Machine Cooperative Photographing Location Positioning Algorithm.

Zelin Zang, Wanliang Wang, Linyan Lu, Yanwei Zhao

Proceedings of the Cooperative Design, Visualization, and Engineering, 2018