Jiangzhang Gan

According to our database, Jiangzhang Gan authored at least 30 papers between 2018 and 2026.

Collaborative distances:

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

2026

Beyond Factual Queries: A Novel Predictive Retrieval-Augmented Generation.

Debo Cheng, Jianfeng Deng, Qingfeng Chen, Jinyi Jie, Jiangzhang Gan

Proceedings of the ACM Web Conference 2026, 2026

Meta-GAIN for Missing Data Imputation.

Tao Tong, Xiaofeng Zhu, Jiangzhang Gan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learning Fair Graph Representations via Probability of Necessity and Sufficiency.

Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Missing Pattern Tree based Decision Grouping and Ensemble for Deep Incomplete Multi-View Clustering.

Wenyuan Yang, Jie Xu, Hongqing He, Jiangzhang Gan, Xiaofeng Zhu

CoRR, December, 2025

Learning Fair Graph Representations with Multi-view Information Bottleneck.

Chuxun Liu, Debo Cheng, Qingfeng Chen, Jiangzhang Gan, Jiuyong Li, Lin Liu

CoRR, October, 2025

Resilient kernel-based unsupervised multi-view feature selection via compact binary hashing.

Rongyao Hu, Mengmeng Zhan, Jiangzhang Gan, Li Li, Fei Ye, Tong Liu

Eng. Appl. Artif. Intell., 2025

Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing.

Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Reverse Graph Learning for Graph Neural Network.

Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Multigraph Fusion for Dynamic Graph Convolutional Network.

Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu

IEEE Trans. Neural Networks Learn. Syst., January, 2024

2022

Robust SVM for Cost-Sensitive Learning.

Jiangzhang Gan, Jiaye Li, Yangcai Xie

Neural Process. Lett., 2022

Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank.

Mengmeng Zhan, Jiangzhang Gan, Guangquan Lu, Yingying Wan

Multim. Tools Appl., 2022

Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.

Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, Xiaoshuang Shi

Inf. Process. Manag., 2022

Complementary Graph Representation Learning for Functional Neuroimaging Identification.

Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multi-view Unsupervised Graph Representation Learning.

Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification.

Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu

IEEE Trans. Medical Imaging, 2021

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.

Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen

Medical Image Anal., 2021

Brain functional connectivity analysis based on multi-graph fusion.

Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu, Rongyao Hu, Junbo Ma, Guorong Wu

Medical Image Anal., 2021

Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning.

Li Li, Kaiyi Zhao, Jiangzhang Gan, Saihua Cai, Tong Liu, Huiyu Mu, Ruizhi Sun

Inf. Process. Manag., 2021

Non-negative Matrix Factorization: A Survey.

Jiangzhang Gan, Tong Liu, Li Li, Jilian Zhang

Comput. J., 2021

2020

Spectral clustering via half-quadratic optimization.

Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang

World Wide Web, 2020

Robust SVM with adaptive graph learning.

Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan

World Wide Web, 2020

Unsupervised feature selection by self-paced learning regularization.

Wei Zheng, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan

Pattern Recognit. Lett., 2020

Self-paced Learning for <i>K</i>-means Clustering Algorithm.

Hao Yu, Guoqiu Wen, Jiangzhang Gan, Wei Zheng, Cong Lei

Pattern Recognit. Lett., 2020

One-step spectral clustering based on self-paced learning.

Tao Tong, Jiangzhang Gan, Guoqiu Wen, Yangding Li

Pattern Recognit. Lett., 2020

Supervised feature selection by self-paced learning regression.

Jiangzhang Gan, Guoqiu Wen, Hao Yu, Wei Zheng, Cong Lei

Pattern Recognit. Lett., 2020

Parameter-Free Extreme Learning Machine for Imbalanced Classification.

Li Li, Kaiyi Zhao, Ruizhi Sun, Jiangzhang Gan, Gang Yuan, Tong Liu

Neural Process. Lett., 2020

Multi-task learning using a hybrid representation for text classification.

Guangquan Lu, Jiangzhang Gan, Jian Yin, Zhiping Luo, Bo Li, Xishun Zhao

Neural Comput. Appl., 2020

Multi-graph Fusion for Functional Neuroimaging Biomarker Detection.

Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Sparse learning based on clustering by fast search and find of density peaks.

Pengqing Li, Xuelian Deng, Leyuan Zhang, Jiangzhang Gan, Jiaye Li, Yonggang Li

Multim. Tools Appl., 2019

2018

Robust Graph Dimensionality Reduction.

Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018