A structure free self-adaptive piecewise hashing algorithm for spam filtering. - Junxing Zhu; Aiping Li; Xiaoning Xu (ICIMCS, 2013)

An Advanced Spam Detection Technique Based on Self-adaptive Piecewise Hash Algorithm. - Junxing Zhu; Aiping Li (APWeb Workshophs, 2014)

A Novel Method of Influence Ranking via Node Degree and H-index for Community Detection. - Qiang Liu 004; Lu Deng; Junxing Zhu; Fenglan Li; Bin Zhou 004; Peng Zou (WAIM Workshops, 2016)

Broad Learning based Multi-Source Collaborative Recommendation. - Junxing Zhu; Jiawei Zhang 001; Lifang He 001; Quanyuan Wu; Bin Zhou 004; Chenwei Zhang; Philip S. Yu (CIKM, 2017)

Link Prediction with Cardinality Constraint. - Jiawei Zhang 001; Jianhui Chen; Junxing Zhu; Yi Chang 001; Philip S. Yu (WSDM, 2017)

CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. - Junxing Zhu; Jiawei Zhang 001; Chenwei Zhang; Quanyuan Wu; Yan Jia 001; Bin Zhou 004; Philip S. Yu (IEEE Access, 2017)

Leveraging local h-index to identify and rank influential spreaders in networks. - Qiang Liu 004; Yuxiao Zhu; Yan Jia 001; Lu Deng; Bin Zhou 004; Junxing Zhu; Peng Zou (CoRR, 2017)

Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. - Junxing Zhu; Jiawei Zhang 001; Quanyuan Wu; Yan Jia 001; Bin Zhou 004; Xiaokai Wei; Philip S. Yu (Sensors, 2017)

A Low-Dimensional Representation Learning Method for Text Classification and Clustering. - Xiang Wang 015; Yunfan Liao; Junxing Zhu; Bin Zhou 004; Yan Jia 001 (DSC, 2020)

A multiview approach based on naming behavioral modeling for aligning chinese user accounts across multiple networks. - Junxing Zhu; Xiang Wang 015; Qiang Liu 004; Xiaoyong Li 002; Chengcheng Shao; Bin Zhou 004 (Concurr. Comput. Pract. Exp., 2020)

A Multi-View Approach Based on Naming Behavioral Modeling for Aligning Chinese User Accounts across Multiple Networks. - Junxing Zhu; Xiang Wang 015; Qiang Liu 004; Xiaoyong Li 002; Chengcheng Shao; Bin Zhou 004 (CoRR, 2020)

A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks. - Xiang Wang 015; Xiaoyong Li 002; Junxing Zhu; Zichen Xu 001; Kaijun Ren; Weiming Zhang; Xinwang Liu; Kui Yu (DASFAA (2), 2021)

A Novel Hash Chain-Based Data Availability Monitoring Method for Off-site Disaster Recovery Architecture. - Neng Huang; Junxing Zhu; Chaonian Guo; Shuhan Cheng; Xiaoyong Li 002 (J. Circuits Syst. Comput., 2021)

Generative-Free Urban Flow Imputation. - Senzhang Wang; Jiyue Li; Hao Miao 001; Junbo Zhang; Junxing Zhu; Jianxin Wang 001 (CIKM, 2022)

Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature. - Taikang Yuan; Junxing Zhu; Kaijun Ren; Wuxin Wang; Xiang Wang 015; Xiaoyong Li 002 (ICDM, 2022)

ISP-FESAN: Improving Significant Wave Height Prediction with Feature Engineering and Self-attention Network. - Jiaming Tan; Xiaoyong Li 002; Junxing Zhu; Xiang Wang 015; Xiaoli Ren; Juan Zhao 006 (ICONIP (5), 2022)

Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking. - Sen Zhang; Senzhang Wang; Xiang Wang 015; Shigeng Zhang; Hao Miao 001; Junxing Zhu (ECML/PKDD (4), 2022)

OSP-FEAN: Optimizing Significant Wave Height Prediction with Feature Engineering and Attention Network. - Jiaming Tan; Junxing Zhu; Xiaoyong Li 002; Xiaoli Ren; Chengwu Zhao (SMC, 2022)

A Novel Hybrid Model Based on Dual Attention Networks for Significant Wave Height Forecast. - Jiaming Tan; Junxing Zhu; Kaijun Ren; Xiaoyong Li 002; Renze Dong; Yunjie Lan (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A Hybrid Deep Learning Model for the Bias Correction of SST Numerical Forecast Products Using Satellite Data. - Tonghan Fei; Binghu Huang; Xiang Wang 015; Junxing Zhu; Yan Chen; Huizan Wang; Weimin Zhang (Remote. Sens., 2022)

Hierarchical Graph Contrastive Learning. - Hao Yan 004; Senzhang Wang; Jun Yin 005; Chaozhuo Li; Junxing Zhu; Jianxin Wang 001 (ECML/PKDD (2), 2023)

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. - Senzhang Wang; Hao Yan 004; Jinlong Du; Jun Yin 005; Junxing Zhu; Chaozhuo Li; Jianxin Wang 001 (SDM, 2023)

A Space-Time Partial Differential Equation Based Physics-Guided Neural Network for Sea Surface Temperature Prediction. - Taikang Yuan; Junxing Zhu; Wuxin Wang; Jingze Lu; Xiang Wang 015; Xiaoyong Li 002; Kaijun Ren (Remote. Sens., 2023)

Local nonlinear dimensionality reduction via preserving the geometric structure of data. - Xiang Wang 015; Junxing Zhu; Zichen Xu 001; Kaijun Ren; Xinwang Liu; Fengyun Wang (Pattern Recognit., 2023)

Explainable physics-guided attention network for long-lead ENSO forecasts. - Song Wu; Xiaoyong Li 002; Wei Dong; Senliang Bao; Senzhang Wang; Junxing Zhu; Xiaoli Ren; Chengcheng Shao (Inf. Sci., 2025)