Hao Zhang

44 papers A* 15A 1Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal direction discovery via related conditional residual.
Pattern Recognit.
Shaofan Chen, Guoyuan He, Wentao Ma, Hao Zhang, Tongqing Zhou, Siwei Wang, Lichuan Gu
2026 J jnl
Gene-guided multimodal data fusion for cancer patient survival analysis.
Neurocomputing
Mingjie Xu, Li Cai, Zongbao Yang, Ruxin Wang, Hao Zhang
2026 A* conf
Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation.
AAAI
Chenghou Jin, Yixin Ren, Hongxu Ma, Yewei Xia, Yi Guan, Hao Zhang, Jiandong Ding, Jihong Guan, Shuigeng Zhou
2025 J jnl
Both reliable and unreliable predictions matter: Domain adaptation for bearing fault diagnosis without source data.
Neurocomputing
Wenyi Wu, Hao Zhang, Zhisen Wei, Xiao-Yuan Jing, Qinghua Zhang, Songsong Wu
2025 A* conf
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models.
ICML
Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng
2025 J jnl
Dynamic debiasing of multi-hop fact verification via counterfactual reasoning.
Knowl. Based Syst.
Jianbo Zhao, Yuzhong Peng, Zongbao Yang, Zhichen Chen, Changan Yuan, Xiao Qin, Ruxin Wang, Hao Zhang
2025 A* conf
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags.
IJCAI
Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou
2025 — conf
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity.
KDD (1)
Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
2025 J jnl
GCCNet: A Novel Network Leveraging Gated Cross-Correlation for Multi-View Classification.
IEEE Trans. Multim.
Yuanpeng Zeng, Ru Zhang, Hao Zhang, Shaojie Qiao, Faliang Huang, Qing Tian, Yuzhong Peng
2025 A* conf
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise.
IJCAI
Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou
2025 A* conf
Local Identifying Causal Relations in the Presence of Latent Variables.
ICML
Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu, Zhi Geng
2025 J jnl
Regression-based conditional independence test with adaptive kernels.
Artif. Intell.
Yixin Ren, Juncai Zhang, Yewei Xia, Ruxin Wang, Feng Xie, Jihong Guan, Hao Zhang, Shuigeng Zhou
2025 A* conf
SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization.
ICML
Yan Liu, Mingjie Chen, Chaojie Ji, Hao Zhang, Ruxin Wang
2025 — conf
Score-based Generative Modeling for Conditional Independence Testing.
KDD (2)
Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou
2025 J jnl
Score-based Generative Modeling for Conditional Independence Testing.
CoRR
Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou
2025 J jnl
Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosis.
CoRR
Wenyi Wu, Hao Zhang, Zhisen Wei, Xiao-Yuan Jing, Qinghua Zhang, Songsong Wu
2024 J jnl
CDRM: Causal disentangled representation learning for missing data.
Knowl. Based Syst.
Mingjie Chen, Hongcheng Wang, Ruxin Wang, Yuzhong Peng, Hao Zhang
2024 A* conf
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing.
NeurIPS
Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
2024 J jnl
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity.
CoRR
Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
2024 J jnl
Hybrid Causal Feature Selection for Cancer Biomarker Identification From RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wenwei Xu, Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou
2024 A conf
Learning Adaptive Kernels for Statistical Independence Tests.
AISTATS
Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
2024 J jnl
Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Zhang, Yixin Ren, Yewei Xia, Shuigeng Zhou, Jihong Guan
2023 A* conf
Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.
ICDM
Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, Shuigeng Zhou
2023 J jnl
Causal Gene Identification Using Non-Linear Regression-Based Independence Tests.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hao Zhang, Chuanxu Yan, Yewei Xia, Jihong Guan, Shuigeng Zhou
2023 J jnl
Conditional Independence Test Based on Residual Similarity.
ACM Trans. Knowl. Discov. Data
Hao Zhang, Yewei Xia, Kun Zhang, Shuigeng Zhou, Jihong Guan
2023 A* conf
Differentially Private Nonlinear Causal Discovery from Numerical Data.
AAAI
Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou
2023 — conf
GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction
BIBM
Yuzhong Peng, Hao Zhang, Ziqiao Zhang, Yanmei Lin, Shuigeng Zhou, Shaojie Qiao
2023 A* conf
Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.
AAAI
Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou
2022 J jnl
An automatic hyperparameter optimization DNN model for precipitation prediction.
Appl. Intell.
Yuzhong Peng, Daoqing Gong, Chuyan Deng, Hongya Li, Hongguo Cai, Hao Zhang
2022 J jnl
Learning Causal Structures Based on Divide and Conquer.
IEEE Trans. Cybern.
Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang, Ji Zhang, Jun Huan
2022 A* conf
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery.
AAAI
Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan
2021 J jnl
Combined cause inference: Definition, model and performance.
Inf. Sci.
Hao Zhang, Chuanxu Yan, Shuigeng Zhou, Jihong Guan, Ji Zhang
2021 J jnl
Person Re-Identification With Character-Illustration-Style Image and Normal Photo.
IEEE Access
Fei Ma, Xiao-Yuan Jing, Li Cheng, Songsong Wu, Hao Zhang, Yong-Fang Yao, Xiaoke Zhu
2021 A* conf
Testing Independence Between Linear Combinations for Causal Discovery.
AAAI
Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang
2020 J jnl
Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction.
IEEE Access
Yuzhong Peng, Yanmei Lin, Xiao-Yuan Jing, Hao Zhang, Yiran Huang, Guangsheng Luo
2019 J jnl
A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming.
CoRR
Hongya Li, Yuzhong Peng, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang
2019 J jnl
A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization.
CoRR
Chuyan Deng, Yuzhong Peng, Hongya Li, Daoqing Gong, Hao Zhang, Zhiping Liu
2019 J jnl
An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction.
Int. J. Comput. Intell. Syst.
Yuzhong Peng, Huasheng Zhao, Hao Zhang, Wenwei Li, Xiao Qin, Jianping Liao, Zhiping Liu, Jie Li
2019 J jnl
Measuring Conditional Independence by Independent Residuals for Causal Discovery.
ACM Trans. Intell. Syst. Technol.
Hao Zhang, Shuigeng Zhou, Jihong Guan, Jun Huan
2019 A* conf
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test.
AAAI
Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang
2018 A* conf
Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery.
AAAI
Hao Zhang, Shuigeng Zhou, Jihong Guan
2018 — conf
Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD.
ICIC (1)
Hongya Li, Yuzhong Peng, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang
2017 A* conf
Causal Discovery Using Regression-Based Conditional Independence Tests.
AAAI
Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan
2016 — conf
Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models.
ICIC (3)
Yifu Huang, Kai Huang, Yang Wang, Hao Zhang, Jihong Guan, Shuigeng Zhou