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2020 – today
- 2023
[j7]Xiang Wang
, Junxing Zhu, Zichen Xu, Kaijun Ren, Xinwang Liu, Fengyun Wang:
Local nonlinear dimensionality reduction via preserving the geometric structure of data. Pattern Recognit. 143: 109663 (2023)- [j6]Taikang Yuan, Junxing Zhu, Wuxin Wang, Jingze Lu, Xiang Wang, Xiaoyong Li, Kaijun Ren:
A Space-Time Partial Differential Equation Based Physics-Guided Neural Network for Sea Surface Temperature Prediction. Remote. Sens. 15(14): 3498 (2023) - [c15]Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang:
Hierarchical Graph Contrastive Learning. ECML/PKDD (2) 2023: 700-715 - [c14]Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang:
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. SDM 2023: 163-171 - 2022
- [j5]Tonghan Fei, Binghu Huang, Xiang Wang, Junxing Zhu, Yan Chen, Huizan Wang, Weimin Zhang:
A Hybrid Deep Learning Model for the Bias Correction of SST Numerical Forecast Products Using Satellite Data. Remote. Sens. 14(6): 1339 (2022) - [c13]Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang:
Generative-Free Urban Flow Imputation. CIKM 2022: 2028-2037 - [c12]Taikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, Xiaoyong Li:
Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature. ICDM 2022: 656-665 - [c11]Jiaming Tan, Xiaoyong Li, Junxing Zhu, Xiang Wang, Xiaoli Ren, Juan Zhao:
ISP-FESAN: Improving Significant Wave Height Prediction with Feature Engineering and Self-attention Network. ICONIP (5) 2022: 15-27 - [c10]Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu:
Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking. ECML/PKDD (4) 2022: 418-434 - [c9]Jiaming Tan, Junxing Zhu, Xiaoyong Li, Xiaoli Ren, Chengwu Zhao:
OSP-FEAN: Optimizing Significant Wave Height Prediction with Feature Engineering and Attention Network. SMC 2022: 2201-2208 - [c8]Jiaming Tan, Junxing Zhu, Kaijun Ren, Xiaoyong Li, Renze Dong, Yunjie Lan:
A Novel Hybrid Model Based on Dual Attention Networks for Significant Wave Height Forecast. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 872-879 - 2021
- [j4]Neng Huang, Junxing Zhu, Chaonian Guo, Shuhan Cheng, Xiaoyong Li:
A Novel Hash Chain-Based Data Availability Monitoring Method for Off-site Disaster Recovery Architecture. J. Circuits Syst. Comput. 30(16): 2150294:1-2150294:28 (2021) - [c7]Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu:
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks. DASFAA (2) 2021: 376-391 - [i3]Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu:
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks. CoRR abs/2103.06383 (2021) - 2020
- [j3]Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou:
A multiview approach based on naming behavioral modeling for aligning chinese user accounts across multiple networks. Concurr. Comput. Pract. Exp. 32(22) (2020) - [c6]Xiang Wang, Yunfan Liao, Junxing Zhu, Bin Zhou, Yan Jia:
A Low-Dimensional Representation Learning Method for Text Classification and Clustering. DSC 2020: 214-217 - [i2]Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou:
A Multi-View Approach Based on Naming Behavioral Modeling for Aligning Chinese User Accounts across Multiple Networks. CoRR abs/2006.10633 (2020)
2010 – 2019
- 2017
- [j2]Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu:
CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. IEEE Access 5: 15283-15299 (2017) - [j1]Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu:
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. Sensors 17(8): 1786 (2017) - [c5]Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu:
Broad Learning based Multi-Source Collaborative Recommendation. CIKM 2017: 1409-1418 - [c4]Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu:
Link Prediction with Cardinality Constraint. WSDM 2017: 121-130 - [i1]Qiang Liu, Yuxiao Zhu, Yan Jia, Lu Deng, Bin Zhou, Junxing Zhu, Peng Zou:
Leveraging local h-index to identify and rank influential spreaders in networks. CoRR abs/1708.09532 (2017) - 2016
- [c3]Qiang Liu, Lu Deng, Junxing Zhu, Fenglan Li, Bin Zhou, Peng Zou:
A Novel Method of Influence Ranking via Node Degree and H-index for Community Detection. WAIM Workshops 2016: 149-160 - 2014
- [c2]Junxing Zhu, Aiping Li:
An Advanced Spam Detection Technique Based on Self-adaptive Piecewise Hash Algorithm. APWeb Workshophs 2014: 148-157 - 2013
- [c1]Junxing Zhu, Aiping Li, Xiaoning Xu:
A structure free self-adaptive piecewise hashing algorithm for spam filtering. ICIMCS 2013: 335-340
Coauthor Index
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