Yonghua Zhu

According to our database, Yonghua Zhu authored at least 80 papers between 2007 and 2024.

Collaborative distances:

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

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

Robust Node Classification on Graph Data with Graph and Label Noise.

Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Modularized composite attention network for continuous music emotion recognition.

Meixian Zhang, Yonghua Zhu, Wenjun Zhang, Yunwen Zhu, Tianyu Feng

Multim. Tools Appl., February, 2023

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text.

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu

CoRR, 2023

Chain of Propagation Prompting for Node Classification.

Yonghua Zhu, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Sketch-to-image Synthesis with Image-level Encoding Aggregation and Patch-level Semantic Refinement.

Keqian Chen, Yonghua Zhu, Zhuo Bi, Wenjuan Zhang

Proceedings of the 7th International Conference on Computer Science and Application Engineering, 2023

A Quality-improved Method based on Attention Mechanism and Contrastive Learning for Image Style Transfer.

Tingyan Gu, Yonghua Zhu, Wangyidai Lu, Wenjun Zhang

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

2022

Robust self-tuning multi-view clustering.

Chang-an Yuan, Yonghua Zhu, Zhi Zhong, Wei Zheng, Xiaofeng Zhu

World Wide Web, 2022

One-step spectral rotation clustering with balanced constrains.

Guoqiu Wen, Yonghua Zhu, Linjun Chen, Shichao Zhang

World Wide Web, 2022

Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning.

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao

IEEE Trans. Knowl. Data Eng., 2022

Robust Multi-view Classification with Sample Constraints.

Yonghua Zhu, Malong Tan, Jian Wei

Neural Process. Lett., 2022

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis.

Yonghua Zhu, Junbo Ma, Changan Yuan, Xiaofeng Zhu

Inf. Fusion, 2022

TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs.

Qianqian Qi, Zhenyun Deng, Yonghua Zhu, Lia Jisoo Lee, Michael Witbrock, Jiamou Liu

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering.

Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle

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

Reference-based Face Editing with Spherical Harmonic Illumination and Geometry Improvement.

Keqian Chen, Yunwen Zhu, Tingyan Gu, Yonghua Zhu

Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

Prompt-based Conservation Learning for Multi-hop Question Answering.

Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle

Proceedings of the 29th International Conference on Computational Linguistics, 2022

EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE.

Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021

Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data.

Heng Tao Shen, Yonghua Zhu, Wei Zheng, Xiaofeng Zhu

IEEE Trans. Neural Networks Learn. Syst., 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

Cross-modal image sentiment analysis via deep correlation of textual semantic.

Ke Zhang, Yunwen Zhu, Wenjun Zhang, Yonghua Zhu

Knowl. Based Syst., 2021

Image emotion distribution learning based on enhanced fuzzy KNN algorithm with sparse learning.

Yunwen Zhu, Wenjun Zhang, Meixian Zhang, Ke Zhang, Yonghua Zhu

J. Intell. Fuzzy Syst., 2021

One-step spectral rotation clustering for imbalanced high-dimensional data.

Guoqiu Wen, Xianxian Li, Yonghua Zhu, Linjun Chen, Qimin Luo, Malong Tan

Inf. Process. Manag., 2021

Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering.

Guoqiu Wen, Yonghua Zhu, Linjun Chen, Mengmeng Zhan, Yangcai Xie

Comput. J., 2021

Soil moisture downscaling using multiple modes of the DISPATCH algorithm in a semi-humid/humid region.

Jingyao Zheng, Haishen Lü, Wade T. Crow, Tianjie Zhao, Olivier Merlin, Nemesio Rodriguez-Fernandez, Jiancheng Shi, Yonghua Zhu, Jianbin Su, Chuen Siang Kang, Xiaoyi Wang, Qiqi Gou

Int. J. Appl. Earth Obs. Geoinformation, 2021

Attention-based Joint Feature Extraction Model For Static Music Emotion Classification.

Meixian Zhang, Yonghua Zhu, Ning Ge, Yunwen Zhu, Tianyu Feng, Wenjun Zhang

Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

KnHiGAN: Knowledge-enhanced Hierarchical Generative Adversarial Network for Fine-grained Text-to-Image Synthesis.

Ning Ge, Yonghua Zhu, Xiaoyu Xiong, Binghui Zheng, Jieyu Huang

Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

Text Pared into Scene Graph for Diverse Image Generation.

Yonghua Zhu, Jieyu Huang, Ning Ge, Yunwen Zhu, Binghui Zheng, Wenjun Zhang

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

Enriching Attributes from Knowledge Graph for Fine-grained Text-to-Image Synthesis.

Yonghua Zhu, Ning Ge, Jieyu Huang, Yunwen Zhu, Binghui Zheng, Wenjun Zhang

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020

Robust SVM with adaptive graph learning.

Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan

World Wide Web, 2020

Self-weighted Multi-view Fuzzy Clustering.

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang

ACM Trans. Knowl. Discov. Data, 2020

Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data.

Yonghua Zhu, Pingping Luo, Sheng Zhang, Biao Sun

Remote. Sens., 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

Spectral rotation for deep one-step clustering.

Xiaofeng Zhu, Yonghua Zhu, Wei Zheng

Pattern Recognit., 2020

Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection.

Guoqiu Wen, Yonghua Zhu, Mengmeng Zhan, Malong Tan

Neural Process. Lett., 2020

Visual sentiment analysis via deep multiple clustered instance learning.

Wenjing Gao, Wenjun Zhang, Haiyan Gao, Yonghua Zhu

J. Intell. Fuzzy Syst., 2020

Emotion-Semantic-Enhanced Bidirectional LSTM with Multi-Head Attention Mechanism for Microblog Sentiment Analysis.

Shaoxiu Wang, Yonghua Zhu, Wenjing Gao, Meng Cao, Mengyao Li

Inf., 2020

Spectral representation learning for one-step spectral rotation clustering.

Guoqiu Wen, Yonghua Zhu, Wei Zheng

Neurocomputing, 2020

Various syncretic co-attention network for multimodal sentiment analysis.

Meng Cao, Yonghua Zhu, Wenjing Gao, Mengyao Li, Shaoxiu Wang

Concurr. Comput. Pract. Exp., 2020

Transfer Correlation Between Textual Content to Images for Sentiment Analysis.

Ke Zhang, Yunwen Zhu, Wenjun Zhang, Weilin Zhang, Yonghua Zhu

IEEE Access, 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

Applications of TRMM- and GPM-Era Multiple-Satellite Precipitation Products for Flood Simulations at Sub-Daily Scales in a Sparsely Gauged Watershed in Myanmar.

Fei Yuan, Limin Zhang, Khin Min Wun Soe, Liliang Ren, Chongxu Zhao, Yonghua Zhu, Shanhu Jiang, Yi Liu

Remote. Sens., 2019

A novel approach to workload prediction using attention-based LSTM encoder-decoder network in cloud environment.

Yonghua Zhu, Weilin Zhang, Yihai Chen, Honghao Gao

EURASIP J. Wirel. Commun. Netw., 2019

A hierarchical recurrent approach to predict scene graphs from a visual-attention-oriented perspective.

Wenjing Gao, Yonghua Zhu, Wenjun Zhang, Ke Zhang, Honghao Gao

Comput. Intell., 2019

A Food Dish Image Generation Framework Based on Progressive Growing GANs.

Su Wang, Honghao Gao, Yonghua Zhu, Weilin Zhang, Yihai Chen

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018

Self-representation and PCA embedding for unsupervised feature selection.

Yonghua Zhu, Xuejun Zhang, Ruili Wang, Wei Zheng, Yingying Zhu

World Wide Web, 2018

Self-tuning clustering for high-dimensional data.

Guoqiu Wen, Yonghua Zhu, Zhiguo Cai, Wei Zheng

World Wide Web, 2018

Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.

Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song

IEEE Trans. Knowl. Data Eng., 2018

Evaluation of Satellite-Based Precipitation Products from IMERG V04A and V03D, CMORPH and TMPA with Gauged Rainfall in Three Climatologic Zones in China.

Guanghua Wei, Haishen Lü, Wade T. Crow, Yonghua Zhu, Jianqun Wang, Jianbin Su

Remote. Sens., 2018

Component Analysis of Errors in Four GPM-Based Precipitation Estimations over Mainland China.

Jianbin Su, Haishen Lü, Yonghua Zhu, Xiaoyi Wang, Guanghua Wei

Remote. Sens., 2018

Adaptive structure learning for low-rank supervised feature selection.

Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen

Pattern Recognit. Lett., 2018

Dynamic graph learning for spectral feature selection.

Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, Cong Lei

Multim. Tools Appl., 2018

A Bi-Directional LSTM-CNN Model with Attention for Aspect-Level Text Classification.

Yonghua Zhu, Xun Gao, Weilin Zhang, Shenkai Liu, Yuanyuan Zhang

Future Internet, 2018

Robust Multi-view Learning via Half-quadratic Minimization.

Yonghua Zhu, Xiaofeng Zhu, Wei Zheng

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

Robust Feature Selection on Incomplete Data.

Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang

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

2017

Assessment of GPM and TRMM Multi-Satellite Precipitation Products in Streamflow Simulations in a Data-Sparse Mountainous Watershed in Myanmar.

Fei Yuan, Limin Zhang, Khin Wah Wah Win, Liliang Ren, Chongxu Zhao, Yonghua Zhu, Shanhu Jiang, Yi Liu

Remote. Sens., 2017

Evaluating the Applicability of Four Latest Satellite-Gauge Combined Precipitation Estimates for Extreme Precipitation and Streamflow Predictions over the Upper Yellow River Basins in China.

Jianbin Su, Haishen Lü, Jianqun Wang, Ali M. Sadeghi, Yonghua Zhu

Remote. Sens., 2017

Double sparse-representation feature selection algorithm for classification.

Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng

Multim. Tools Appl., 2017

Low-rank feature selection for multi-view regression.

Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang

Multim. Tools Appl., 2017

Self-representation graph feature selection method for classification.

Yonghua Zhu, Zhengyou Liang, Xingyi Liu, Ke Sun

Multim. Syst., 2017

Self-representation dimensionality reduction for multi-model classification.

Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen

Neurocomputing, 2017

Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.

Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen

Neurocomputing, 2017

A novel low-rank hypergraph feature selection for multi-view classification.

Xiaohui Cheng, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, Wei He

Neurocomputing, 2017

Adaptive Hypergraph Learning for Unsupervised Feature Selection.

Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Robust Features Selection via Structure Learning and Multiple Subspace Learning.

Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen

Proceedings of the IEEE International Conference on Big Knowledge, 2017

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.

Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Improving Streamflow Prediction Using Remotely-Sensed Soil Moisture and Snow Depth.

Haishen Lü, Wade T. Crow, Yonghua Zhu, Fen Ouyang, Jianbin Su

Remote. Sens., 2016

Graph feature selection for dementia diagnosis.

Yonghua Zhu, Zhi Zhong, Wenfei Cao, Debo Cheng

Neurocomputing, 2016

Applying Probabilistic Model Checking to Express Delivery Location Selection and Optimization.

Yonghua Zhu, Xiaoyi Xue, Kai Zhang, Shunyi Mao, Honghao Gao

Proceedings of the 13th IEEE International Conference on e-Business Engineering, 2016

Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.

Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

The Impact of Assumed Error Variances on Surface Soil Moisture and Snow Depth Hydrologic Data Assimilation.

Haishen Lü, Wade T. Crow, Yonghua Zhu, Zhongbo Yu, Jinhui Sun

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Multi-view multi-sparsity kernel reconstruction for multi-class image classification.

Xiaofeng Zhu, Qing Xie, Yonghua Zhu, Xingyi Liu, Shichao Zhang

Neurocomputing, 2015

Multi-view Classification for Identification of Alzheimer's Disease.

Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Estimation of transition temperature for doped iron-based superconductors based on crystal cell structure.

Huiran Zhang, Yan Zhang, Yonghua Zhu, Yan Xu, Wenfeng Shen, Pin Wu, Min Cao, Zhenjie Feng, Qing Li, Jincang Zhang

Proceedings of the 11th International Conference on Natural Computation, 2015

2014

kNN Algorithm with Data-Driven k Value.

Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013

A Simplified Active Shape Model for Speeding-Up Facial Features Detection.

Wei Jiang, Yuchun Fang, Yonghua Zhu

Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013

2012

An Optimization of FMM under CPU+GPU Heterogeneous Architecture.

Yonghua Zhu, Xiao Lu

Proceedings of the 14th IEEE International Conference on Commerce and Enterprise Computing, 2012

2010

A Research of SQL-Based Web Services Automatic Generating Strategy.

Qiang Chi, Yonghua Zhu, Huaiyang Zhu

Proceedings of the 5th IEEE Asia-Pacific Services Computing Conference, 2010

2008

Multi-date Satellite Images for Reducing Classification Confusion between Deciduous Forest and Evergreen Forest.

Yonghua Zhu, Sizuo Chen, Yulong Wang, Zhe Zhu

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Global Terrestrial GPP, Respiration and NPP in 1999.

Yulong Wang, Zhilan Zhang, Yonghua Zhu, Sizuo Chen, Zhe Zhu

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007

A Scalable Service Discovery and Resource Assignment Scheme for Network Computing Systems.

Man Chon U, Wenfeng Shen, Weimin Xu, Yonghua Zhu

Proceedings of the 2007 International Conference on Internet Computing, 2007