Jiangzhang Gan

31 papers A* 8Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Factual Queries: A Novel Predictive Retrieval-Augmented Generation. WWW Debo Cheng, Jianfeng Deng, Qingfeng Chen, Jinyi Jie, Jiangzhang Gan
2026	A*	`conf`	Learning Fair Graph Representations via Probability of Necessity and Sufficiency. AAAI Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu
2026	A*	`conf`	Meta-GAIN for Missing Data Imputation. AAAI Tao Tong, Xiaofeng Zhu, Jiangzhang Gan
2025	J	`jnl`	Learning Fair Graph Representations with Multi-view Information Bottleneck. CoRR Chuxun Liu, Debo Cheng, Qingfeng Chen, Jiangzhang Gan, Jiuyong Li, Lin Liu
2025	J	`jnl`	Missing Pattern Tree based Decision Grouping and Ensemble for Deep Incomplete Multi-View Clustering. CoRR Wenyuan Yang, Jie Xu, Hongqing He, Jiangzhang Gan, Xiaofeng Zhu
2025	J	`jnl`	Resilient kernel-based unsupervised multi-view feature selection via compact binary hashing. Eng. Appl. Artif. Intell. Rongyao Hu, Mengmeng Zhan, Jiangzhang Gan, Li Li, Fei Ye, Tong Liu
2025	A*	`conf`	Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing. AAAI Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei
2024	J	`jnl`	Multigraph Fusion for Dynamic Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu
2024	J	`jnl`	Reverse Graph Learning for Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
2022	A*	`conf`	Complementary Graph Representation Learning for Functional Neuroimaging Identification. ACM Multimedia Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu
2022	J	`jnl`	Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank. Multim. Tools Appl. Mengmeng Zhan, Jiangzhang Gan, Guangquan Lu, Yingying Wan
2022	J	`jnl`	Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data. Inf. Process. Manag. Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, Xiaoshuang Shi
2022	A*	`conf`	Multi-view Unsupervised Graph Representation Learning. IJCAI Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu
2022	J	`jnl`	Robust SVM for Cost-Sensitive Learning. Neural Process. Lett. Jiangzhang Gan, Jiaye Li, Yangcai Xie
2021	J	`jnl`	Brain functional connectivity analysis based on multi-graph fusion. Medical Image Anal. Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu, Rongyao Hu, Junbo Ma, Guorong Wu
2021	J	`jnl`	Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2021	J	`jnl`	Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification. IEEE Trans. Medical Imaging Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu
2021	J	`jnl`	Non-negative Matrix Factorization: A Survey. Comput. J. Jiangzhang Gan, Tong Liu, Li Li, Jilian Zhang
2021	J	`jnl`	Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning. Inf. Process. Manag. Li Li, Kaiyi Zhao, Jiangzhang Gan, Saihua Cai, Tong Liu, Huiyu Mu, Ruizhi Sun
2020	J	`jnl`	Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. CoRR Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2020	A*	`conf`	Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. IJCAI Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu
2020	J	`jnl`	Multi-task learning using a hybrid representation for text classification. Neural Comput. Appl. Guangquan Lu, Jiangzhang Gan, Jian Yin, Zhiping Luo, Bo Li, Xishun Zhao
2020	J	`jnl`	One-step spectral clustering based on self-paced learning. Pattern Recognit. Lett. Tao Tong, Jiangzhang Gan, Guoqiu Wen, Yangding Li
2020	J	`jnl`	Parameter-Free Extreme Learning Machine for Imbalanced Classification. Neural Process. Lett. Li Li, Kaiyi Zhao, Ruizhi Sun, Jiangzhang Gan, Gang Yuan, Tong Liu
2020	J	`jnl`	Robust SVM with adaptive graph learning. World Wide Web Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan
2020	J	`jnl`	Self-paced Learning for Pattern Recognit. Lett. Hao Yu, Guoqiu Wen, Jiangzhang Gan, Wei Zheng, Cong Lei
2020	J	`jnl`	Spectral clustering via half-quadratic optimization. World Wide Web Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang
2020	J	`jnl`	Supervised feature selection by self-paced learning regression. Pattern Recognit. Lett. Jiangzhang Gan, Guoqiu Wen, Hao Yu, Wei Zheng, Cong Lei
2020	J	`jnl`	Unsupervised feature selection by self-paced learning regularization. Pattern Recognit. Lett. Wei Zheng, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan
2019	J	`jnl`	Sparse learning based on clustering by fast search and find of density peaks. Multim. Tools Appl. Pengqing Li, Xuelian Deng, Leyuan Zhang, Jiangzhang Gan, Jiaye Li, Yonggang Li
2018	A*	`conf`	Robust Graph Dimensionality Reduction. IJCAI Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang