Guoqing Chao - RankMe

70 papers A* 15A 1C 1Misc 1Journal 48Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss. AAAI Zhenghao Zhang, Jun Xie, Xingchen Chen, Tao Yu, Hongzhu Yi, Kaixin Xu, Yuanxiang Wang, Tianyu Zong, Xinming Wang, Jiahuan Chen, Guoqing Chao, Feng Chen, Zhepeng Wang, Jungang Xu
2026	J	`jnl`	Joint Multi-view unsupervised feature selection based on tensor learning. Knowl. Based Syst. Yiwan Xu, Xijiong Xie, Chongzhen Jin, Guoqing Chao, Yuqi Li
2026	J	`jnl`	LaGraph: Laplacian-Guided Graph Learning for Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. Shicong Zeng, Guoqing Chao, Junquan Wei, Yanwei Yu, Zhijin Wang, Dianhui Chu
2026	J	`jnl`	Multi-view unsupervised feature selection with unified measurement of consistency and diversity. Pattern Recognit. Shengke Xu, Xijiong Xie, Guoqing Chao, Yujie Xiong
2026	A*	`conf`	Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy. AAAI Xiang Li, Yuan Cao, Zhongying Zhao, Guoqing Chao, Yanwei Yu
2026	A*	`conf`	ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. WWW Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu, Yanwei Yu
2026	A*	`conf`	S²HyRec: Self-Supervised Hypergraph Sequential Recommendation. AAAI Yuchen Liu, Kunyu Ni, Zhongying Zhao, Guoqing Chao, Yanwei Yu
2026	J	`jnl`	TrashToTreasure: An Informative and Interactive Multi-View Classification Framework. IEEE Trans. Knowl. Data Eng. Guoqing Chao, Mingjie Zhang, Xiru Wang, Jie Wen, Weiping Ding, Dianhui Chu
2025	A*	`conf`	CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning. AAAI Yuanheng Fang, Guoqing Chao, Wenqiang Lei, Shaobo Li, Dianhui Chu
2025	J	`jnl`	CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning. CoRR Yuanheng Fang, Guoqing Chao, Wenqiang Lei, Shaobo Li, Dianhui Chu
2025	J	`jnl`	Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning. IEEE Trans. Knowl. Data Eng. Xuejiao Yu, Yi Jiang, Guoqing Chao, Dianhui Chu
2025	J	`jnl`	DentSeg-EDA: A 3D tooth segmentation framework for CBCT images using enhanced dual attention. Neurocomputing Muhammad Asif Jamal, Guoqing Chao, Bumshik Lee
2025	A*	`conf`	Do LLMs Behave as Claimed? Investigating How LLMs Follow Their Own Claims using Counterfactual Questions. EMNLP Haochen Shi, Shaobo Li, Guoqing Chao, Xiaoliang Shi, Wentao Chen, Zhenzhou Ji
2025	—	`conf`	Dual Structure-guided Contrastive Network for Incomplete Multi-view Partial Multi-label Classification. KDD (2) Kaixin Xu, Yangyang Wu, Shijun Wu, Xiaoye Miao, Guoqing Chao, Mengying Zhu, Meng Xi, Xinkui Zhao
2025	J	`jnl`	Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss. CoRR Zhenghao Zhang, Jun Xie, Xingchen Chen, Tao Yu, Hongzhu Yi, Kaixin Xu, Yuanxiang Wang, Tianyu Zong, Xinming Wang, Jiahuan Chen, Guoqing Chao, Feng Chen, Zhepeng Wang, Jungang Xu
2025	A*	`conf`	Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance. ICML Guoqing Chao, Zhenghao Zhang, Lei Meng, Jie Wen, Dianhui Chu
2025	J	`jnl`	Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance. CoRR Guoqing Chao, Zhenghao Zhang, Lei Meng, Jie Wen, Dianhui Chu
2025	A*	`conf`	Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering. AAAI Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen
2025	J	`jnl`	Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering. CoRR Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen
2025	J	`jnl`	How Far Are We from Predicting Missing Modalities with Foundation Models? CoRR Guanzhou Ke, Yi Xie, Xiaoli Wang, Guoqing Chao, Bo Wang, Shengfeng He
2025	J	`jnl`	Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering. IEEE Trans. Emerg. Top. Comput. Intell. Zixiao Yu, Lele Fu, Yongyong Chen, Zhiling Cai, Guoqing Chao
2025	J	`jnl`	Incomplete Multi-View Clustering via Mutual Information. IEEE Trans. Multim. Xuejiao Yu, Guoqing Chao, Yi Jiang, Guanzhou Ke, Dianhui Chu
2025	J	`jnl`	Incomplete multi-view classification via graph neural network on heterogeneous graph. Inf. Fusion Guoqing Chao, Jingnan Qi, Jingxuan Li, Bumshik Lee, Dianhui Chu
2025	A*	`conf`	Knowledge Bridger: Towards Training-Free Missing Modality Completion. CVPR Guanzhou Ke, Shengfeng He, Xiaoli Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Yi Xie, Hexing Su
2025	J	`jnl`	Knowledge Bridger: Towards Training-free Missing Multi-modality Completion. CoRR Guanzhou Ke, Shengfeng He, Xiao Li Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Yi Xie, Hexing Su
2025	J	`jnl`	LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings. CoRR Ting Li, Yang Yang, Yipeng Yu, Liang Yao, Guoqing Chao, Ruifeng Xu
2025	J	`jnl`	Multi-modal data augmentation based on masked modeling for image-text retrieval. Knowl. Based Syst. Mingyu Wang, Guoqing Chao, Xi Wang, Yongyong Chen, Xijiong Xie, Dianhui Chu
2025	J	`jnl`	Multi-view Unsupervised Feature Selection via Global and Local Kernelized Graph Learning. Neurocomputing Min Xu, Xijiong Xie, Yuqi Li, Guoqing Chao
2025	J	`jnl`	Multi-view semi-supervised feature selection based on adaptive graph and tensor learning. Appl. Intell. Hangyu Chen, Xijiong Xie, Guoqing Chao
2025	A*	`conf`	OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems. AAAI Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen, Guoqing Chao
2025	J	`jnl`	ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. CoRR Xiang Li, Haobing Liu, Jianpeng Qi, Yuan Cao, Guoqing Chao, Yanwei Yu
2025	A*	`conf`	Semantic-Space-Intervened Diffusive Alignment for Visual Classification. IJCAI Zixuan Li, Lei Meng, Guoqing Chao, Wei Wu, Yimeng Yang, Xiaoshuo Yan, Zhuang Qi, Xiangxu Meng
2025	J	`jnl`	Semantic-Space-Intervened Diffusive Alignment for Visual Classification. CoRR Zixuan Li, Lei Meng, Guoqing Chao, Wei Wu, Xiaoshuo Yan, Yimeng Yang, Zhuang Qi, Xiangxu Meng
2024	J	`jnl`	A Clustering-Guided Contrastive Fusion for Multi-View Representation Learning. IEEE Trans. Circuits Syst. Video Technol. Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Yongqi Zhu, Yang Yu
2024	A*	`conf`	Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering. ICML Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu
2024	J	`jnl`	Enhanced transfer learning with data augmentation. Eng. Appl. Artif. Intell. Jianjun Su, Xuejiao Yu, Xiru Wang, Zhijin Wang, Guoqing Chao
2024	A*	`conf`	Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding. AAAI Guoqing Chao, Yi Jiang, Dianhui Chu
2024	J	`jnl`	OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems. CoRR Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen, Guoqing Chao
2024	J	`jnl`	Three-teaching: A three-way decision framework to handle noisy labels. Appl. Soft Comput. Guoqing Chao, Kaiwen Zhang, Xiru Wang, Dianhui Chu
2023	J	`jnl`	A Diabetes Prediction System Based on Incomplete Fused Data Sources. Mach. Learn. Knowl. Extr. Zhaoyi Yuan, Hao Ding, Guoqing Chao, Mingqiang Song, Lei Wang, Weiping Ding, Dianhui Chu
2023	J	`jnl`	Data augmentation for sentiment classification with semantic preservation and diversity. Knowl. Based Syst. Guoqing Chao, Jingyao Liu, Mingyu Wang, Dianhui Chu
2023	A*	`conf`	Disentangling Multi-view Representations Beyond Inductive Bias. ACM Multimedia Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Shengfeng He
2023	J	`jnl`	Disentangling Multi-view Representations Beyond Inductive Bias. CoRR Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Shengfeng He
2023	J	`jnl`	Editorial: Special Issue on Transfer Learning. Neural Process. Lett. Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
2023	J	`jnl`	Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding. CoRR Guoqing Chao, Yi Jiang, Dianhui Chu
2023	J	`jnl`	Oriented transformer for infectious disease case prediction. Appl. Intell. Zhijin Wang, Pesiong Zhang, Yaohui Huang, Guoqing Chao, Xijiong Xie, Yonggang Fu
2022	J	`jnl`	A Clustering-guided Contrastive Fusion for Multi-view Representation Learning. CoRR Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Chang Xu, Yongqi Zhu, Yang Yu
2022	J	`jnl`	A multi-view time series model for share turnover prediction. Appl. Intell. Zhijin Wang, Qiankun Su, Guoqing Chao, Bing Cai, Yaohui Huang, Yonggang Fu
2022	C	`conf`	An Oriented Attention Model for Infectious Disease Cases Prediction. IEA/AIE Peisong Zhang, Zhijin Wang, Guoqing Chao, Yaohui Huang, Jingwen Yan
2022	—	`conf`	Deep Learning for Fine-Grained Image Recognition: A Comprehensive Study. APIT Yuhua Kang, Guoqing Chao, Xin Hu, Zhiying Tu, Dianhui Chu
2022	J	`jnl`	Editorial: special issue on multi-view learning. Appl. Intell. Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
2022	J	`jnl`	Frobenius norm-regularized robust graph learning for multi-view subspace clustering. Appl. Intell. Shuqin Wang, Yongyong Chen, Shuang Yi, Guoqing Chao
2022	J	`jnl`	Incomplete multi-view clustering with multiple imputation and ensemble clustering. Appl. Intell. Guoqing Chao, Songtao Wang, Shiming Yang, Chunshan Li, Dianhui Chu
2022	J	`jnl`	Multi-view k-proximal plane clustering. Appl. Intell. Feixiang Sun, Xijiong Xie, Jiangbo Qian, Yu Xin, Yuqi Li, Chong Wang, Guoqing Chao
2022	J	`jnl`	Understanding users' requirements precisely: a double Bi-LSTM-CRF joint model for detecting user's intentions and slot tags. Neural Comput. Appl. Chunshan Li, Yingli Zhou, Guoqing Chao, Dianhui Chu
2021	J	`jnl`	A Survey on Multiview Clustering. IEEE Trans. Artif. Intell. Guoqing Chao, Shiliang Sun, Jinbo Bi
2021	A	`conf`	DGPF: A Dialogue Goal Planning Framework for Cognitive Service Conversational Bot. ICWS Bolin Zhang, Zhiying Tu, Yangqin Jiang, Shufan He, Guoqing Chao, Dian-Hui Chu, Xiaofei Xu
2019	J	`jnl`	Discriminative K-Means Laplacian Clustering. Neural Process. Lett. Guoqing Chao
2019	J	`jnl`	Multi-view cluster analysis with incomplete data to understand treatment effects. Inf. Sci. Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D. Langleben, Chiang-shan Ray Li, Jinbo Bi
2019	J	`jnl`	Recent Advances in Supervised Dimension Reduction: A Survey. Mach. Learn. Knowl. Extr. Guoqing Chao, Yuan Luo, Weiping Ding
2019	J	`jnl`	Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization. Inf. Fusion Guoqing Chao, Shiliang Sun
2018	—	`conf`	Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. BIBM Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
2018	J	`jnl`	Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. CoRR Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
2017	J	`jnl`	A Survey on Multi-View Clustering. CoRR Guoqing Chao, Shiliang Sun, Jinbo Bi
2016	J	`jnl`	Alternative Multiview Maximum Entropy Discrimination. IEEE Trans. Neural Networks Learn. Syst. Guoqing Chao, Shiliang Sun
2016	J	`jnl`	Consensus and complementarity based maximum entropy discrimination for multi-view classification. Inf. Sci. Guoqing Chao, Shiliang Sun
2016	J	`jnl`	Multi-kernel maximum entropy discrimination for multi-view learning. Intell. Data Anal. Guoqing Chao, Shiliang Sun
2013	A*	`conf`	Multi-View Maximum Entropy Discrimination. IJCAI Shiliang Sun, Guoqing Chao
2012	Misc	`conf`	Applying a multitask feature sparsity method for the classification of semantic relations between nominals. ICMLC Guoqing Chao, Shiliang Sun
2012	—	`conf`	Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination. ICONIP (3) Guoqing Chao, Shiliang Sun