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2020 – today
- 2024
[j49]Yonghua Zhu, Jincheng Huang, Yang Chen, Robert Amor, Michael Witbrock:
A graph transformer defence against graph perturbation by a flexible-pass filter. Inf. Fusion 107: 102296 (2024)- [j48]Jiangzhang Gan, Rongyao Hu, Yujie Mo
, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu:
Multigraph Fusion for Dynamic Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35(1): 196-207 (2024) - [c32]Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock:
Robust Node Classification on Graph Data with Graph and Label Noise. AAAI 2024: 17220-17227 - [c31]Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu:
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. ACL (Findings) 2024: 5914-5934 - 2023
- [j47]Meixian Zhang, Yonghua Zhu, Wenjun Zhang, Yunwen Zhu, Tianyu Feng:
Modularized composite attention network for continuous music emotion recognition. Multim. Tools Appl. 82(5): 7319-7341 (2023) - [c30]Tingyan Gu, Yonghua Zhu, Wangyidai Lu, Wenjun Zhang:
A Quality-improved Method based on Attention Mechanism and Contrastive Learning for Image Style Transfer. ICCCS 2023: 927-931 - [c29]Keqian Chen, Yonghua Zhu, Zhuo Bi, Wenjun Zhang:
Sketch-to-image Synthesis with Image-level Encoding Aggregation and Patch-level Semantic Refinement. CSAE 2023: 4:1-4:6 - [c28]Yonghua Zhu, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock:
Chain of Propagation Prompting for Node Classification. ACM Multimedia 2023: 3012-3020 - [i4]Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu:
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text. CoRR abs/2305.12599 (2023) - 2022
- [j46]Yonghua Zhu, Junbo Ma, Changan Yuan, Xiaofeng Zhu:
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis. Inf. Fusion 77: 53-61 (2022) - [j45]Yonghua Zhu, Malong Tan, Jian Wei:
Robust Multi-view Classification with Sample Constraints. Neural Process. Lett. 54(4): 2589-2612 (2022) - [j44]Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao:
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning. IEEE Trans. Knowl. Data Eng. 34(6): 3016-3028 (2022) - [j43]Guoqiu Wen, Yonghua Zhu, Linjun Chen, Shichao Zhang:
One-step spectral rotation clustering with balanced constrains. World Wide Web 25(1): 259-280 (2022) - [j42]Chang-an Yuan, Yonghua Zhu, Zhi Zhong, Wei Zheng, Xiaofeng Zhu:
Robust self-tuning multi-view clustering. World Wide Web 25(2): 489-512 (2022) - [c27]Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello:
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. AsiaCCS 2022: 741-755 - [c26]Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle:
Prompt-based Conservation Learning for Multi-hop Question Answering. COLING 2022: 1791-1800 - [c25]Keqian Chen, Yunwen Zhu, Tingyan Gu, Yonghua Zhu:
Reference-based Face Editing with Spherical Harmonic Illumination and Geometry Improvement. CSAE 2022: 45:1-45:7 - [c24]Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle:
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. IJCAI 2022: 4093-4099 - [c23]Qianqian Qi, Zhenyun Deng, Yonghua Zhu, Lia Jisoo Lee, Michael Witbrock, Jiamou Liu:
TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs. AACL/IJCNLP (Findings) 2022: 176-187 - [i3]Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello:
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. CoRR abs/2203.01438 (2022) - [i2]Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle:
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. CoRR abs/2206.08486 (2022) - [i1]Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle:
Prompt-based Conservation Learning for Multi-hop Question Answering. CoRR abs/2209.06923 (2022) - 2021
- [j41]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:
Soil moisture downscaling using multiple modes of the DISPATCH algorithm in a semi-humid/humid region. Int. J. Appl. Earth Obs. Geoinformation 104: 102530 (2021) - [j40]Guoqiu Wen, Yonghua Zhu, Linjun Chen, Mengmeng Zhan, Yangcai Xie:
Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering. Comput. J. 64(7): 993-1004 (2021) - [j39]Guoqiu Wen, Xianxian Li, Yonghua Zhu, Linjun Chen, Qimin Luo, Malong Tan:
One-step spectral rotation clustering for imbalanced high-dimensional data. Inf. Process. Manag. 58(1): 102388 (2021) - [j38]Yunwen Zhu, Wenjun Zhang, Meixian Zhang, Ke Zhang, Yonghua Zhu:
Image emotion distribution learning based on enhanced fuzzy KNN algorithm with sparse learning. J. Intell. Fuzzy Syst. 41(6): 6443-6460 (2021) - [j37]Ke Zhang, Yunwen Zhu, Wenjun Zhang, Yonghua Zhu:
Cross-modal image sentiment analysis via deep correlation of textual semantic. Knowl. Based Syst. 216: 106803 (2021) - [j36]Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu:
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification. IEEE Trans. Medical Imaging 40(12): 3843-3855 (2021) - [j35]Heng Tao Shen, Yonghua Zhu, Wei Zheng, Xiaofeng Zhu:
Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3122-3135 (2021) - [c22]Yonghua Zhu, Ning Ge, Jieyu Huang, Yunwen Zhu, Binghui Zheng, Wenjun Zhang:
Enriching Attributes from Knowledge Graph for Fine-grained Text-to-Image Synthesis. CSAE 2021: 80:1-80:6 - [c21]Yonghua Zhu, Jieyu Huang, Ning Ge, Yunwen Zhu, Binghui Zheng, Wenjun Zhang:
Text Pared into Scene Graph for Diverse Image Generation. CSAE 2021: 83:1-83:5 - [c20]Meixian Zhang, Yonghua Zhu, Ning Ge, Yunwen Zhu, Tianyu Feng, Wenjun Zhang:
Attention-based Joint Feature Extraction Model For Static Music Emotion Classification. ISCID 2021: 291-296 - [c19]Ning Ge, Yonghua Zhu, Xiaoyu Xiong, Binghui Zheng, Jieyu Huang:
KnHiGAN: Knowledge-enhanced Hierarchical Generative Adversarial Network for Fine-grained Text-to-Image Synthesis. ISCID 2021: 357-360 - 2020
- [j34]Ke Zhang, Yunwen Zhu, Wenjun Zhang, Weilin Zhang, Yonghua Zhu:
Transfer Correlation Between Textual Content to Images for Sentiment Analysis. IEEE Access 8: 35276-35289 (2020) - [j33]Meng Cao, Yonghua Zhu, Wenjing Gao, Mengyao Li, Shaoxiu Wang:
Various syncretic co-attention network for multimodal sentiment analysis. Concurr. Comput. Pract. Exp. 32(24) (2020) - [j32]Guoqiu Wen, Yonghua Zhu, Wei Zheng:
Spectral representation learning for one-step spectral rotation clustering. Neurocomputing 406: 361-370 (2020) - [j31]Shaoxiu Wang, Yonghua Zhu, Wenjing Gao, Meng Cao, Mengyao Li:
Emotion-Semantic-Enhanced Bidirectional LSTM with Multi-Head Attention Mechanism for Microblog Sentiment Analysis. Inf. 11(5): 280 (2020) - [j30]Wenjing Gao, Wenjun Zhang, Haiyan Gao, Yonghua Zhu:
Visual sentiment analysis via deep multiple clustered instance learning. J. Intell. Fuzzy Syst. 39(5): 7217-7231 (2020) - [j29]Guoqiu Wen, Yonghua Zhu, Mengmeng Zhan, Malong Tan:
Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection. Neural Process. Lett. 52(3): 1793-1809 (2020) - [j28]Xiaofeng Zhu, Yonghua Zhu, Wei Zheng:
Spectral rotation for deep one-step clustering. Pattern Recognit. 105: 107175 (2020) - [j27]Wei Zheng, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan:
Unsupervised feature selection by self-paced learning regularization. Pattern Recognit. Lett. 132: 4-11 (2020) - [j26]Yonghua Zhu, Pingping Luo, Sheng Zhang, Biao Sun:
Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data. Remote. Sens. 12(24): 4177 (2020) - [j25]Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang:
Self-weighted Multi-view Fuzzy Clustering. ACM Trans. Knowl. Discov. Data 14(4): 48:1-48:17 (2020) - [j24]Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan:
Robust SVM with adaptive graph learning. World Wide Web 23(3): 1945-1968 (2020) - [c18]Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu:
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. IJCAI 2020: 580-586
2010 – 2019
- 2019
- [j23]Wenjing Gao, Yonghua Zhu, Wenjun Zhang, Ke Zhang, Honghao Gao:
A hierarchical recurrent approach to predict scene graphs from a visual-attention-oriented perspective. Comput. Intell. 35(3): 496-516 (2019) - [j22]Yonghua Zhu, Weilin Zhang, Yihai Chen, Honghao Gao:
A novel approach to workload prediction using attention-based LSTM encoder-decoder network in cloud environment. EURASIP J. Wirel. Commun. Netw. 2019: 274 (2019) - [j21]Fei Yuan, Limin Zhang, Khin Min Wun Soe, Liliang Ren, Chongxu Zhao, Yonghua Zhu, Shanhu Jiang, Yi Liu:
Applications of TRMM- and GPM-Era Multiple-Satellite Precipitation Products for Flood Simulations at Sub-Daily Scales in a Sparsely Gauged Watershed in Myanmar. Remote. Sens. 11(2): 140 (2019) - [c17]Su Wang, Honghao Gao, Yonghua Zhu, Weilin Zhang, Yihai Chen:
A Food Dish Image Generation Framework Based on Progressive Growing GANs. CollaborateCom 2019: 323-333 - 2018
- [j20]Yonghua Zhu, Xun Gao, Weilin Zhang, Shenkai Liu, Yuanyuan Zhang:
A Bi-Directional LSTM-CNN Model with Attention for Aspect-Level Text Classification. Future Internet 10(12): 116 (2018) - [j19]Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, Cong Lei:
Dynamic graph learning for spectral feature selection. Multim. Tools Appl. 77(22): 29739-29755 (2018) - [j18]Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen:
Adaptive structure learning for low-rank supervised feature selection. Pattern Recognit. Lett. 109: 89-96 (2018) - [j17]Guanghua Wei, Haishen Lü, Wade T. Crow, Yonghua Zhu, Jianqun Wang, Jianbin Su:
Evaluation of Satellite-Based Precipitation Products from IMERG V04A and V03D, CMORPH and TMPA with Gauged Rainfall in Three Climatologic Zones in China. Remote. Sens. 10(1): 30 (2018) - [j16]Jianbin Su, Haishen Lü, Yonghua Zhu, Xiaoyi Wang, Guanghua Wei:
Component Analysis of Errors in Four GPM-Based Precipitation Estimations over Mainland China. Remote. Sens. 10(9): 1420 (2018) - [j15]Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song:
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection. IEEE Trans. Knowl. Data Eng. 30(3): 517-529 (2018) - [j14]Guoqiu Wen, Yonghua Zhu, Zhiguo Cai, Wei Zheng:
Self-tuning clustering for high-dimensional data. World Wide Web 21(6): 1563-1573 (2018) - [j13]Yonghua Zhu, Xuejun Zhang, Ruili Wang, Wei Zheng, Yingying Zhu:
Self-representation and PCA embedding for unsupervised feature selection. World Wide Web 21(6): 1675-1688 (2018) - [c16]Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang:
Robust Feature Selection on Incomplete Data. IJCAI 2018: 3191-3197 - [c15]Yonghua Zhu, Xiaofeng Zhu, Wei Zheng:
Robust Multi-view Learning via Half-quadratic Minimization. IJCAI 2018: 3278-3284 - 2017
- [j12]Xiaohui Cheng, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, Wei He:
A novel low-rank hypergraph feature selection for multi-view classification. Neurocomputing 253: 115-121 (2017) - [j11]Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen:
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation. Neurocomputing 253: 127-134 (2017) - [j10]Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen:
Self-representation dimensionality reduction for multi-model classification. Neurocomputing 253: 154-161 (2017) - [j9]Yonghua Zhu, Zhengyou Liang, Xingyi Liu, Ke Sun:
Self-representation graph feature selection method for classification. Multim. Syst. 23(3): 351-356 (2017) - [j8]Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang:
Low-rank feature selection for multi-view regression. Multim. Tools Appl. 76(16): 17479-17495 (2017) - [j7]Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng:
Double sparse-representation feature selection algorithm for classification. Multim. Tools Appl. 76(16): 17525-17539 (2017) - [j6]Fei Yuan, Limin Zhang, Khin Wah Wah Win, Liliang Ren, Chongxu Zhao, Yonghua Zhu, Shanhu Jiang, Yi Liu:
Assessment of GPM and TRMM Multi-Satellite Precipitation Products in Streamflow Simulations in a Data-Sparse Mountainous Watershed in Myanmar. Remote. Sens. 9(3): 302 (2017) - [j5]Jianbin Su, Haishen Lü, Jianqun Wang, Ali M. Sadeghi, Yonghua Zhu:
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. Remote. Sens. 9(11): 1176 (2017) - [c14]Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu:
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. AAAI 2017: 2963-2969 - [c13]Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen:
Robust Features Selection via Structure Learning and Multiple Subspace Learning. ICBK 2017: 326-331 - [c12]Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He:
Adaptive Hypergraph Learning for Unsupervised Feature Selection. IJCAI 2017: 3581-3587 - 2016
- [j4]Yonghua Zhu, Zhi Zhong, Wenfei Cao, Debo Cheng:
Graph feature selection for dementia diagnosis. Neurocomputing 195: 19-22 (2016) - [j3]Haishen Lü, Wade T. Crow, Yonghua Zhu, Fen Ouyang, Jianbin Su:
Improving Streamflow Prediction Using Remotely-Sensed Soil Moisture and Snow Depth. Remote. Sens. 8(6): 503 (2016) - [c11]Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang:
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints. ADMA 2016: 172-187 - [c10]Yonghua Zhu, Xiaoyi Xue, Kai Zhang, Shunyi Mao, Honghao Gao:
Applying Probabilistic Model Checking to Express Delivery Location Selection and Optimization. ICEBE 2016: 32-39 - 2015
- [j2]Xiaofeng Zhu, Qing Xie, Yonghua Zhu, Xingyi Liu, Shichao Zhang:
Multi-view multi-sparsity kernel reconstruction for multi-class image classification. Neurocomputing 169: 43-49 (2015) - [j1]Haishen Lü, Wade T. Crow, Yonghua Zhu, Zhongbo Yu, Jinhui Sun:
The Impact of Assumed Error Variances on Surface Soil Moisture and Snow Depth Hydrologic Data Assimilation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(11): 5116-5129 (2015) - [c9]Huiran Zhang, Yan Zhang, Yonghua Zhu, Yan Xu, Wenfeng Shen, Pin Wu, Min Cao, Zhenjie Feng, Qing Li, Jincang Zhang:
Estimation of transition temperature for doped iron-based superconductors based on crystal cell structure. ICNC 2015: 696-701 - [c8]Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen:
Multi-view Classification for Identification of Alzheimer's Disease. MLMI 2015: 255-262 - 2014
- [c7]Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong:
kNN Algorithm with Data-Driven k Value. ADMA 2014: 499-512 - 2013
- [c6]Wei Jiang, Yuchun Fang, Yonghua Zhu:
A Simplified Active Shape Model for Speeding-Up Facial Features Detection. CCBR 2013: 89-96 - 2012
- [c5]Yonghua Zhu, Xiao Lu:
An Optimization of FMM under CPU+GPU Heterogeneous Architecture. CEC 2012: 147-150 - 2010
- [c4]Qiang Chi, Yonghua Zhu, Huaiyang Zhu:
A Research of SQL-Based Web Services Automatic Generating Strategy. APSCC 2010: 707-711
2000 – 2009
- 2008
- [c3]Yulong Wang, Zhilan Zhang, Yonghua Zhu, Sizuo Chen, Zhe Zhu:
Global Terrestrial GPP, Respiration and NPP in 1999. CSSE (6) 2008: 1-6 - [c2]Yonghua Zhu, Sizuo Chen, Yulong Wang, Zhe Zhu:
Multi-date Satellite Images for Reducing Classification Confusion between Deciduous Forest and Evergreen Forest. CSSE (6) 2008: 85-88 - 2007
- [c1]Man Chon U, Wenfeng Shen, Weimin Xu, Yonghua Zhu:
A Scalable Service Discovery and Resource Assignment Scheme for Network Computing Systems. International Conference on Internet Computing 2007: 96-102
Coauthor Index
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