Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models. - Yifu Huang; Kai Huang 011; Yang Wang 100; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (ICIC (3), 2016)

Causal Discovery Using Regression-Based Conditional Independence Tests. - Hao Zhang 079; Shuigeng Zhou; Kun Zhang 001; Jihong Guan (AAAI, 2017)

Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery. - Hao Zhang 079; Shuigeng Zhou; Jihong Guan (AAAI, 2018)

Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD. - Hongya Li; Yuzhong Peng; Chuyan Deng; Yonghua Pan; Daoqing Gong; Hao Zhang 079 (ICIC (1), 2018)

Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test. - Hao Zhang 079; Shuigeng Zhou; Chuanxu Yan; Jihong Guan; Xin Wang 004 (AAAI, 2019)

A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization. - Chuyan Deng; Yuzhong Peng; Hongya Li; Daoqing Gong; Hao Zhang 079; Zhiping Liu (CoRR, 2019)

A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming. - Hongya Li; Yuzhong Peng; Chuyan Deng; Yonghua Pan; Daoqing Gong; Hao Zhang 079 (CoRR, 2019)

An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction. - Yuzhong Peng; Huasheng Zhao; Hao Zhang 079; Wenwei Li; Xiao Qin 005; Jianping Liao; Zhiping Liu; Jie Li (Int. J. Comput. Intell. Syst., 2019)

Measuring Conditional Independence by Independent Residuals for Causal Discovery. - Hao Zhang 079; Shuigeng Zhou; Jihong Guan; Jun Huan (ACM Trans. Intell. Syst. Technol., 2019)

Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction. - Yuzhong Peng; Yanmei Lin; Xiao-Yuan Jing; Hao Zhang 079; Yiran Huang; Guangsheng Luo (IEEE Access, 2020)

Testing Independence Between Linear Combinations for Causal Discovery. - Hao Zhang 079; Kun Zhang 001; Shuigeng Zhou; Jihong Guan; Ji Zhang 001 (AAAI, 2021)

Person Re-Identification With Character-Illustration-Style Image and Normal Photo. - Fei Ma 004; Xiao-Yuan Jing; Li Cheng 006; Songsong Wu; Hao Zhang 079; Yong-Fang Yao; Xiaoke Zhu (IEEE Access, 2021)

Combined cause inference: Definition, model and performance. - Hao Zhang 079; Chuanxu Yan; Shuigeng Zhou; Jihong Guan; Ji Zhang 001 (Inf. Sci., 2021)

Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery. - Hao Zhang 079; Shuigeng Zhou; Kun Zhang 001; Jihong Guan (AAAI, 2022)

An automatic hyperparameter optimization DNN model for precipitation prediction. - Yuzhong Peng; Daoqing Gong; Chuyan Deng; Hongya Li; Hongguo Cai; Hao Zhang 079 (Appl. Intell., 2022)

Learning Causal Structures Based on Divide and Conquer. - Hao Zhang 079; Shuigeng Zhou; Chuanxu Yan; Jihong Guan; Xin Wang 004; Ji Zhang 001; Jun Huan (IEEE Trans. Cybern., 2022)

Differentially Private Nonlinear Causal Discovery from Numerical Data. - Hao Zhang 079; Yewei Xia; Yixin Ren; Jihong Guan; Shuigeng Zhou (AAAI, 2023)

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance. - Yixin Ren; Hao Zhang 079; Yewei Xia; Jihong Guan; Shuigeng Zhou (AAAI, 2023)

GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction*. - Yuzhong Peng; Hao Zhang 079; Ziqiao Zhang; Yanmei Lin; Shuigeng Zhou; Shaojie Qiao (BIBM, 2023)

Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance. - Yewei Xia; Hao Zhang 079; Yixin Ren; Jihong Guan; Shuigeng Zhou (ICDM, 2023)

Causal Gene Identification Using Non-Linear Regression-Based Independence Tests. - Hao Zhang 079; Chuanxu Yan; Yewei Xia; Jihong Guan; Shuigeng Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Conditional Independence Test Based on Residual Similarity. - Hao Zhang 079; Yewei Xia; Kun Zhang 001; Shuigeng Zhou; Jihong Guan (ACM Trans. Knowl. Discov. Data, 2023)

Learning Adaptive Kernels for Statistical Independence Tests. - Yixin Ren; Yewei Xia; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (AISTATS, 2024)

Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing. - Yixin Ren; Yewei Xia; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (NeurIPS, 2024)

CDRM: Causal disentangled representation learning for missing data. - Mingjie Chen; Hongcheng Wang; Ruxin Wang 001; Yuzhong Peng; Hao Zhang 079 (Knowl. Based Syst., 2024)

Hybrid Causal Feature Selection for Cancer Biomarker Identification From RNA-Seq Data. - Wenwei Xu; Hao Zhang 079; Yewei Xia; Yixin Ren; Jihong Guan; Shuigeng Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph. - Hao Zhang 079; Yixin Ren; Yewei Xia; Shuigeng Zhou; Jihong Guan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity. - Yixin Ren; Haocheng Zhang; Yewei Xia; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (KDD (1), 2025)

Regression-based conditional independence test with adaptive kernels. - Yixin Ren; Juncai Zhang; Yewei Xia; Ruxin Wang 001; Feng Xie 002; Jihong Guan; Hao Zhang 079; Shuigeng Zhou (Artif. Intell., 2025)

GCCNet: A Novel Network Leveraging Gated Cross-Correlation for Multi-View Classification. - Yuanpeng Zeng; Ru Zhang; Hao Zhang 079; Shaojie Qiao; Faliang Huang; Qing Tian 001; Yuzhong Peng (IEEE Trans. Multim., 2025)

Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosis. - Wenyi Wu; Hao Zhang 079; Zhisen Wei; Xiao-Yuan Jing; Qinghua Zhang; Songsong Wu (CoRR, 2025)

Score-based Generative Modeling for Conditional Independence Testing. - Yixin Ren; Chenghou Jin; Yewei Xia; Li Ke; Longtao Huang; Hui Xue 001; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (CoRR, 2025)