A Scalable Service Discovery and Resource Assignment Scheme for Network Computing Systems. - Man Chon U; Wenfeng Shen; Weimin Xu; Yonghua Zhu (International Conference on Internet Computing, 2007)

Global Terrestrial GPP, Respiration and NPP in 1999. - Yulong Wang; Zhilan Zhang; Yonghua Zhu; Sizuo Chen; Zhe Zhu (CSSE (6), 2008)

Multi-date Satellite Images for Reducing Classification Confusion between Deciduous Forest and Evergreen Forest. - Yonghua Zhu; Sizuo Chen; Yulong Wang; Zhe Zhu (CSSE (6), 2008)

A Research of SQL-Based Web Services Automatic Generating Strategy. - Qiang Chi; Yonghua Zhu; Huaiyang Zhu (APSCC, 2010)

An Optimization of FMM under CPU+GPU Heterogeneous Architecture. - Yonghua Zhu; Xiao Lu (CEC, 2012)

A Simplified Active Shape Model for Speeding-Up Facial Features Detection. - Wei Jiang; Yuchun Fang; Yonghua Zhu (CCBR, 2013)

kNN Algorithm with Data-Driven k Value. - Debo Cheng; Shichao Zhang 001; Zhenyun Deng; Yonghua Zhu; Ming Zong (ADMA, 2014)

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 (ICNC, 2015)

Multi-view Classification for Identification of Alzheimer's Disease. - Xiaofeng Zhu 001; Heung-Il Suk; Yonghua Zhu; Kim-Han Thung; Guorong Wu 001; Dinggang Shen (MLMI, 2015)

Multi-view multi-sparsity kernel reconstruction for multi-class image classification. - Xiaofeng Zhu 001; Qing Xie 002; Yonghua Zhu; Xingyi Liu; Shichao Zhang 001 (Neurocomputing, 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)

Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints. - Wei He 017; Xiaofeng Zhu 001; Yonggang Li; Rongyao Hu; Yonghua Zhu; Shichao Zhang 001 (ADMA, 2016)

Applying Probabilistic Model Checking to Express Delivery Location Selection and Optimization. - Yonghua Zhu; Xiaoyi Xue; Kai Zhang 039; Shunyi Mao; Honghao Gao (ICEBE, 2016)

Graph feature selection for dementia diagnosis. - Yonghua Zhu; Zhi Zhong; Wenfei Cao; Debo Cheng (Neurocomputing, 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)

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. - Xiaofeng Zhu 001; Wei He 017; Yonggang Li; Yang Yang 002; Shichao Zhang 001; Rongyao Hu; Yonghua Zhu (AAAI, 2017)

Robust Features Selection via Structure Learning and Multiple Subspace Learning. - Yonghua Zhu; Xuejun Zhang; Rongyao Hu; Guoqiu Wen (ICBK, 2017)

Adaptive Hypergraph Learning for Unsupervised Feature Selection. - Xiaofeng Zhu 001; Yonghua Zhu; Shichao Zhang 001; Rongyao Hu; Wei He 017 (IJCAI, 2017)

A novel low-rank hypergraph feature selection for multi-view classification. - Xiaohui Cheng; Yonghua Zhu; Jingkuan Song; Guoqiu Wen; Wei He 017 (Neurocomputing, 2017)

Feature self-representation based hypergraph unsupervised feature selection via low-rank representation. - Wei He 017; Xiaohui Cheng; Rongyao Hu; Yonghua Zhu; Guoqiu Wen (Neurocomputing, 2017)

Self-representation dimensionality reduction for multi-model classification. - Rongyao Hu; Jie Cao 001; Debo Cheng; Wei He 017; Yonghua Zhu; Qing Xie 002; Guoqiu Wen (Neurocomputing, 2017)

Self-representation graph feature selection method for classification. - Yonghua Zhu; Zhengyou Liang; Xingyi Liu; Ke Sun 004 (Multim. Syst., 2017)

Low-rank feature selection for multi-view regression. - Rongyao Hu; Debo Cheng; Wei He 017; Guoqiu Wen; Yonghua Zhu; Jilian Zhang; Shichao Zhang 001 (Multim. Tools Appl., 2017)

Double sparse-representation feature selection algorithm for classification. - Yonghua Zhu; Xuejun Zhang; Guoqiu Wen; Wei He 017; Debo Cheng (Multim. Tools Appl., 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)

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 048 (Remote. Sens., 2017)

Robust Feature Selection on Incomplete Data. - Wei Zheng; Xiaofeng Zhu 001; Yonghua Zhu; Shichao Zhang 001 (IJCAI, 2018)

Robust Multi-view Learning via Half-quadratic Minimization. - Yonghua Zhu; Xiaofeng Zhu 001; Wei Zheng (IJCAI, 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)

Dynamic graph learning for spectral feature selection. - Wei Zheng; Xiaofeng Zhu 001; Yonghua Zhu; Rongyao Hu; Cong Lei (Multim. Tools Appl., 2018)

Adaptive structure learning for low-rank supervised feature selection. - Yonghua Zhu; Xuejun Zhang; Rongyao Hu; Guoqiu Wen (Pattern Recognit. Lett., 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)

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)

Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection. - Xiaofeng Zhu 001; Shichao Zhang 001; Rongyao Hu; Yonghua Zhu; Jingkuan Song (IEEE Trans. Knowl. Data Eng., 2018)

Self-tuning clustering for high-dimensional data. - Guoqiu Wen; Yonghua Zhu; Zhiguo Cai; Wei Zheng (World Wide Web, 2018)

Self-representation and PCA embedding for unsupervised feature selection. - Yonghua Zhu; Xuejun Zhang; Ruili Wang; Wei Zheng; Yingying Zhu 004 (World Wide Web, 2018)

A Food Dish Image Generation Framework Based on Progressive Growing GANs. - Su Wang; Honghao Gao; Yonghua Zhu; Weilin Zhang; Yihai Chen (CollaborateCom, 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 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)

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 048 (Remote. Sens., 2019)

Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. - Jiangzhang Gan; Xiaofeng Zhu 001; Rongyao Hu; Yonghua Zhu; Junbo Ma; Zi-Wen Peng; Guorong Wu 001 (IJCAI, 2020)

Transfer Correlation Between Textual Content to Images for Sentiment Analysis. - Ke Zhang; Yunwen Zhu; Wenjun Zhang 011; Weilin Zhang; Yonghua Zhu (IEEE Access, 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)

Spectral representation learning for one-step spectral rotation clustering. - Guoqiu Wen; Yonghua Zhu; Wei Zheng (Neurocomputing, 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)

Visual sentiment analysis via deep multiple clustered instance learning. - Wenjing Gao; Wenjun Zhang 011; Haiyan Gao; Yonghua Zhu (J. Intell. Fuzzy Syst., 2020)

Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection. - Guoqiu Wen; Yonghua Zhu; Mengmeng Zhan; Malong Tan (Neural Process. Lett., 2020)

Spectral rotation for deep one-step clustering. - Xiaofeng Zhu 001; Yonghua Zhu; Wei Zheng (Pattern Recognit., 2020)

Unsupervised feature selection by self-paced learning regularization. - Wei Zheng; Xiaofeng Zhu 001; Guoqiu Wen; Yonghua Zhu; Hao Yu; Jiangzhang Gan (Pattern Recognit. Lett., 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)

Self-weighted Multi-view Fuzzy Clustering. - Xiaofeng Zhu 001; Shichao Zhang 001; Yonghua Zhu; Wei Zheng; Yang Yang 002 (ACM Trans. Knowl. Discov. Data, 2020)

Robust SVM with adaptive graph learning. - Rongyao Hu; Xiaofeng Zhu 001; Yonghua Zhu; Jiangzhang Gan (World Wide Web, 2020)

Enriching Attributes from Knowledge Graph for Fine-grained Text-to-Image Synthesis. - Yonghua Zhu; Ning Ge; Jieyu Huang; Yunwen Zhu; Binghui Zheng; Wenjun Zhang 011 (CSAE, 2021)

Text Pared into Scene Graph for Diverse Image Generation. - Yonghua Zhu; Jieyu Huang; Ning Ge; Yunwen Zhu; Binghui Zheng; Wenjun Zhang 011 (CSAE, 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 (ISCID, 2021)

Attention-based Joint Feature Extraction Model For Static Music Emotion Classification. - Meixian Zhang; Yonghua Zhu; Ning Ge; Yunwen Zhu; Tianyu Feng; Wenjun Zhang (ISCID, 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 001; Yonghua Zhu; Jianbin Su; Chuen Siang Kang; Xiaoyi Wang; Qiqi Gou (Int. J. Appl. Earth Obs. Geoinformation, 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)

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)

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)

Cross-modal image sentiment analysis via deep correlation of textual semantic. - Ke Zhang; Yunwen Zhu; Wenjun Zhang 011; Yonghua Zhu (Knowl. Based Syst., 2021)

Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification. - Rongyao Hu; Zi-Wen Peng; Xiaofeng Zhu 001; Jiangzhang Gan; Yonghua Zhu; Junbo Ma; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2021)

Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data. - Heng Tao Shen; Yonghua Zhu; Wei Zheng; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. - Qifan Wang; Shujie Cui; Lei Zhou; Ocean Wu; Yonghua Zhu; Giovanni Russello (AsiaCCS, 2022)

Prompt-based Conservation Learning for Multi-hop Question Answering. - Zhenyun Deng; Yonghua Zhu; Yang Chen 028; Qianqian Qi 001; Michael Witbrock; Patricia Riddle (COLING, 2022)

Reference-based Face Editing with Spherical Harmonic Illumination and Geometry Improvement. - Keqian Chen; Yunwen Zhu; Tingyan Gu; Yonghua Zhu (CSAE, 2022)

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. - Zhenyun Deng; Yonghua Zhu; Yang Chen 028; Michael Witbrock; Patricia Riddle (IJCAI, 2022)

TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs. - Qianqian Qi 001; Zhenyun Deng; Yonghua Zhu; Lia Jisoo Lee; Michael Witbrock; Jiamou Liu (AACL/IJCNLP (Findings), 2022)

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis. - Yonghua Zhu; Junbo Ma; Changan Yuan 001; Xiaofeng Zhu 001 (Inf. Fusion, 2022)

Robust Multi-view Classification with Sample Constraints. - Yonghua Zhu; Malong Tan; Jian Wei (Neural Process. Lett., 2022)

Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning. - Xiaofeng Zhu 001; Shichao Zhang 001; Yonghua Zhu; Pengfei Zhu 001; Yue Gao 002 (IEEE Trans. Knowl. Data Eng., 2022)

One-step spectral rotation clustering with balanced constrains. - Guoqiu Wen; Yonghua Zhu; Linjun Chen; Shichao Zhang 001 (World Wide Web, 2022)

Robust self-tuning multi-view clustering. - Chang-an Yuan 001; Yonghua Zhu; Zhi Zhong; Wei Zheng; Xiaofeng Zhu 001 (World Wide Web, 2022)

A Quality-improved Method based on Attention Mechanism and Contrastive Learning for Image Style Transfer. - Tingyan Gu; Yonghua Zhu; Wangyidai Lu; Wenjun Zhang 011 (ICCCS, 2023)

Sketch-to-image Synthesis with Image-level Encoding Aggregation and Patch-level Semantic Refinement. - Keqian Chen; Yonghua Zhu; Zhuo Bi; Wenjun Zhang 011 (CSAE, 2023)

Chain of Propagation Prompting for Node Classification. - Yonghua Zhu; Zhenyun Deng; Yang Chen 028; Robert Amor; Michael Witbrock (ACM Multimedia, 2023)

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text. - Qiming Bao 001; Alex Yuxuan Peng; Zhenyun Deng; Wanjun Zhong; Neset Tan; Nathan Young; Yang Chen 028; Yonghua Zhu; Michael Witbrock; Jiamou Liu (CoRR, 2023)

Modularized composite attention network for continuous music emotion recognition. - Meixian Zhang; Yonghua Zhu; Wenjun Zhang 011; Yunwen Zhu; Tianyu Feng (Multim. Tools Appl., 2023)

Robust Node Classification on Graph Data with Graph and Label Noise. - Yonghua Zhu; Lei Feng; Zhenyun Deng; Yang Chen 028; Robert Amor; Michael Witbrock (AAAI, 2024)

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. - Qiming Bao 001; Alex Yuxuan Peng; Zhenyun Deng; Wanjun Zhong; Gaël Gendron; Timothy Pistotti; Neset Tan; Nathan Young; Yang Chen 028; Yonghua Zhu; Paul Denny 001; Michael Witbrock; et al. (ACL (Findings), 2024)

A graph transformer defence against graph perturbation by a flexible-pass filter. - Yonghua Zhu; Jincheng Huang 005; Yang Chen 028; Robert Amor; Michael Witbrock (Inf. Fusion, 2024)

Multigraph Fusion for Dynamic Graph Convolutional Network. - Jiangzhang Gan; Rongyao Hu; Yujie Mo; Zhao Kang 001; Liang Peng; Yonghua Zhu; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multiplex Graph Representation Learning with Homophily and Consistency. - Yudi Huang; Ci Nie; Hongqing He; Yujie Mo; Yonghua Zhu; Guoqiu Wen; Xiaofeng Zhu 001 (AAAI, 2025)

Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation. - Yujing Liu; Zongqian Wu; Zhengyu Lu; Ci Nie; Guoqiu Wen; Yonghua Zhu; Xiaofeng Zhu 001 (AAAI, 2025)

MixSong: Diverse and Strictly Formatted Chinese Poetry Generation. - Xinglong Song; Changlin Song; Haolu Yu; Yonghua Zhu; Hong Yao (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)

A Survey of Pun Generation: Datasets, Evaluations and Methodologies. - Yuchen Su; Yonghua Zhu; Ruofan Wang; Zijian Huang 003; Diana Benavides-Prado; Michael Witbrock (CoRR, 2025)

Psychology-Driven Enhancement of Humour Translation. - Yuchen Su; Yonghua Zhu; Yang Chen 028; Diana Benavides-Prado; Michael Witbrock (CoRR, 2025)