Zelin Zang

According to our database, Zelin Zang authored at least 69 papers between 2018 and 2026.

Collaborative distances:

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

2026

scHelix: Asymmetric Dual-Stream Integration via Explicit Gene-Level Disentanglement.

Xichen Yan, Zelin Zang, Changxi Chi, Jingbo Zhou, Chang Yu, Jinlin Wu, Shenghui Cheng, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li

CoRR, May, 2026

CellScientist: Dual-Space Hierarchical Orchestration for Closed-Loop Refinement of Virtual Cell Models.

Mengran Li, Bo Li, Jiaying Wang, Wenbin Xing, Yixuan Dong, Chengyang Zhang, Hongliang Zhang, Yuzhong Peng, Jinlin Wu, Bob Zhang, Bingo Wing-Kuen Ling, Fuji Yang, Zhen Lei, Jiebo Luo, Zelin Zang

CoRR, May, 2026

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs.

Yurui Xiang, Xingyi Mao, Rui Sheng, Zixin Chen, Zelin Zang, Yuyang Wu, Haipeng Zeng, Huamin Qu, Yushi Sun, Yanna Lin

CoRR, April, 2026

MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation.

Yehui Yang, Zelin Zang, Changxi Chi, Jingbo Zhou, Xienan Zheng, Yuzhe Jia, Chang Yu, Jinlin Wu, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li

CoRR, April, 2026

Revisiting Cross-Attention Mechanisms: Leveraging Beneficial Noise for Domain-Adaptive Learning.

Zelin Zang, Yehui Yang, Fei Wang, Liangyu Li, Baigui Sun

CoRR, March, 2026

CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery.

Rui Sheng, Zelin Zang, Jiachen Wang, Yan Luo, Zixin Chen, Yan Zhou, Shaolun Ruan, Huamin Qu

IEEE Trans. Vis. Comput. Graph., February, 2026

Latent Poincaré Shaping for Agentic Reinforcement Learning.

Hanchen Xia, Baoyou Chen, Zelin Zang, Yutang Ge, Guojiang Zhao, Siyu Zhu

CoRR, February, 2026

UniSurg: A Video-Native Foundation Model for Universal Understanding of Surgical Videos.

Jinlin Wu, Felix Holm, Chuxi Chen, An Wang, Yaxin Hu, Xiaofan Ye, Zelin Zang, Miao Xu, Lihua Zhou, Huai Liao, Danny Tat-Ming Chan, Ming Feng, Wai S. Poon, Hongliang Ren, Dong Yi, Nassir Navab, Gaofeng Meng, Jiebo Luo, Hongbin Liu, Zhen Lei

CoRR, February, 2026

POSITIVE4Rec: Incorporating the Recency Effect with Positional Inductive Bias for Sequential Recommendation.

Po-Chih Lin, Yixuan Dong, Fang-Yi Su, Haijie Yang, Zelin Zang, Hongliang Zhang, Wing-Kuen Ling, Fuji Yang

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models.

Siqi Ma, Jiajie Huang, Fan Zhang, Jinlin Wu, Yue Shen, Guohui Fan, Zhu Zhang, Zelin Zang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling.

Mengran Li, Zelin Zang, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges.

Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

The Dawn of Agentic EDA: A Survey of Autonomous Digital Chip Design.

Zelin Zang, Yuhang Song, Bingo Wing-Kuen Ling, Aili Wang, Fuji Yang

CoRR, December, 2025

A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning.

Zelin Zang, Wenyi Gu, Siqi Ma, Dan Yang, Yue Shen, Zhu Zhang, Guohui Fan, Wing-Kuen Ling, Fuji Yang

CoRR, December, 2025

Anatomy-R1: Enhancing Anatomy Reasoning in Multimodal Large Language Models via Anatomical Similarity Curriculum and Group Diversity Augmentation.

Ziyang Song, Zelin Zang, Zuyao Chen, Xusheng Liang, Dong Yi, Jinlin Wu, Hongbin Liu, Jiebo Luo, Zhen Lei

CoRR, December, 2025

NeuroABench: A Multimodal Evaluation Benchmark for Neurosurgical Anatomy Identification.

Ziyang Song, Zelin Zang, Xiaofan Ye, Boqiang Xu, Long Bai, Jinlin Wu, Hongliang Ren, Hongbin Liu, Jiebo Luo, Zhen Lei

CoRR, December, 2025

FGeneBERT: function-driven pre-trained gene language model for metagenomics.

Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Siyuan Li, Zihan Liu, Zhen Lei, Ju-Sheng Zheng, Stan Z. Li

Briefings Bioinform., November, 2025

Deep Multimanifold Transformation-Based Multivariate Time Series Fault Detection.

Hong Liu, Xiuxiu Qiu, Yiming Shi, Miao Xu, Zelin Zang, Zhen Lei

IEEE Trans. Neural Networks Learn. Syst., October, 2025

MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models.

Siqi Ma, Jiajie Huang, Bolin Yang, Fan Zhang, Jinlin Wu, Yue Shen, Guohui Fan, Zhu Zhang, Zelin Zang

CoRR, September, 2025

Hierarchical Quantized Diffusion Based Tree Generation Method for Hierarchical Representation and Lineage Analysis.

Zelin Zang, WenZhe Li, Fei Chen, Yongjie Xu, Chang Yu, Zhen Lei, Stan Z. Li

CoRR, June, 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, Baigui Sun

CoRR, June, 2025

GenURL: A General Framework for Unsupervised Representation Learning.

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

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation.

Yongjie Xu, Zelin Zang, Bozhen Hu, Yue Yuan, Cheng Tan, Jun Xia, Stan Z. Li

Briefings Bioinform., January, 2025

MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference.

Zelin Zang, Chenrui Duan, Siyuan Li, Jinlin Wu, BingoWing-Kuen Ling, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li

Trans. Mach. Learn. Res., 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, Stan Z. Li

Inf. Fusion, 2025

MuST: multiple-modality structure transformation for single-cell spatial transcriptomics.

Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Yue Shen, Yi Sun, Zhen Lei, Stan Z. Li

Briefings Bioinform., 2025

Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes.

Miao Xu, Xiangyu Zhu, Jinlin Wu, Ming Feng, Zelin Zang, Hongbin Liu, Zhen Lei

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series.

Hong Liu, Xiuxiu Qiu, Yiming Shi, Zelin Zang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing.

Yufei Huang, Bangyan Liao, Yuqi Hu, Haitao Lin, Lirong Wu, Siyuan Li, Cheng Tan, Zicheng Liu, Yunfan Liu, Zelin Zang, Chang Yu, Zhen Lei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

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

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

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, Kaicheng yu, Wanyu Chen, Stan Z. Li

CoRR, 2024

GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models.

Zicheng Liu, Jiahui Li, Siyuan Li, Zelin Zang, Cheng Tan, Yufei Huang, Yajing Bai, Stan Z. Li

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

Neural Network Diffusion.

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

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

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module.

Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation.

Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Manifold Transformation for Protein Representation Learning.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

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, Stan Z. Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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