Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery. - Henry Han (BMC Bioinform., 2010)

Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery. - Henry Han; Xiaoli Li 001 (BMC Bioinform., 2011)

A high performance profile-biomarker diagnosis for mass spectral profiles. - Henry Han (BMC Syst. Biol., 2011)

Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics. - Henry Han; Xiaoli Li 001; See-Kiong Ng; Zhou Ji (J. Bioinform. Comput. Biol., 2013)

Analyzing Support Vector Machine Overfitting on Microarray Data. - Henry Han (ICIC (3), 2014)

A Novel Profile Biomarker Diagnosis for Mass Spectral Proteomics. - Henry Han (Pacific Symposium on Biocomputing, 2014)

A novel feature selection for RNA-seq analysis. - Henry Han (Comput. Biol. Chem., 2017)

Factors analysis of protein O-glycosylation site prediction. - Xuemei Yang; Henry Han (Comput. Biol. Chem., 2017)

Application of t-SNE to human genetic data. - Wentian Li; Jane E. Cerise; Yaning Yang; Henry Han (J. Bioinform. Comput. Biol., 2017)

The Challenges of Business Analytics: Successes and Failures. - Ying Liu 007; Henry Han; Joan DeBello (HICSS, 2018)

How does normalization impact RNA-seq disease diagnosis? - Henry Han; Ke Men (J. Biomed. Informatics, 2018)

Detection of Monophasic Slow-wave Activation Phase Using Wavelet Decomposition. - Henry Han; Leo K. Cheng; Timothy R. Angeli; Niranchan Paskaranandavadivel (EMBC, 2019)

Implied Volatility Pricing with Selective Learning. - Henry Han; Haofeng Huang; Jiayin Hu; Fangjun Kuang (IDMB, 2019)

Locally Linear Embedding for High-Frequency Trading Marker Discovery. - Henry Han; Jie Teng; Junruo Xia; Yunhan Wang; Zihao Guo; Deqing Li (IDMB, 2019)

A High-Performance Basketball Game Forecast Using Magic Feature Extraction. - Tiange Li; Henry Han (IDMB, 2019)

Patent Text Mining on Technology Evolution Path in 5G Communication Field. - Tingting Liu; Tie Wei; Henry Han; Tiange Li (IDMB, 2019)

A Modified Multi-Objective Particle Swarm Optimization Based on Levy Flight and Double-Archive Mechanism. - Tianhua Guan; Fei Han 001; Henry Han (IEEE Access, 2019)

Preface. - Henry Han; Wenbin Liu (BMC Bioinform., 2019)

The coming era of artificial intelligence in biological data science. - Henry Han; Wenbin Liu (BMC Bioinform., 2019)

Conditional GWAS revealing genetic impacts of lifestyle behaviors on low-density lipoprotein (LDL). - Wenbin Liu; Zhendong Cui; Peng Xu 004; Henry Han; Jun Zhu (Comput. Biol. Chem., 2019)

Efficient Gaussian sample specific network marker discovery and drug enrichment analysis validation. - Wenbin Liu; Yugai Du; Gang Fang; Zheng Kou; Xianghong Wang; Henry Han (Comput. Biol. Chem., 2019)

Detection of Slow Wave Propagation Direction Using Bipolar High-Resolution Recordings. - Henry Han; Leo K. Cheng; Recep Avci; Niranchan Paskaranandavadivel (EMBC, 2020)

Manifold Learning Analysis for Allele-Skewed DNA Modification SNPs for Psychiatric Disorders. - Wenbin Liu; Dongdong Li; Henry Han (IEEE Access, 2020)

Predicting the Influence of MicroRNAs on Drug Therapeutic Effects by Random Walking. - Peng Xu 004; Qian Wu; Yongsheng Rao; Zheng Kou; Gang Fang; Wenbin Liu; Henry Han (IEEE Access, 2020)

A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path. - Peng Xu 004; Qian Wu; Deyang Lu; Jian Yu; Yongsheng Rao; Zheng Kou; Gang Fang; Wenbin Liu; Henry Han (BMC Bioinform., 2020)

Efficient network architecture search via multiobjective particle swarm optimization based on decomposition. - Jing Jiang 021; Fei Han 001; Qinghua Ling; Jie Wang 050; Tiange Li; Henry Han (Neural Networks, 2020)

Hierarchical learning for option implied volatility pricing. - Henry Han (HICSS, 2021)

Attention-Based Convolution Skip Bidirectional Long Short-Term Memory Network for Speech Emotion Recognition. - Huiyun Zhang; Heming Huang; Henry Han (IEEE Access, 2021)

ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering. - Junyi Li; Wei Jiang 023; Henry Han; Jing Liu; Bo Liu 023; Yadong Wang 001 (Comput. Biol. Chem., 2021)

Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search. - Jing Jiang 021; Fei Han 001; Jie Wang 050; Qinghua Ling; Henry Han; Zizhu Fan (Inf. Sci., 2021)

Predict high-frequency trading marker via manifold learning. - Henry Han; Jie Teng; Junruo Xia; Yunhan Wang; Zihao Guo; Deqing Li (Knowl. Based Syst., 2021)

Salient object detection using feature clustering and compactness prior. - Yanbang Zhang; Fen Zhang; Lei Guo 002; Henry Han (Multim. Tools Appl., 2021)

Multi-objective particle swarm optimization with adaptive strategies for feature selection. - Fei Han 001; Wentao Chen; Qing-Hua Ling; Henry Han (Swarm Evol. Comput., 2021)

Characterizing In-Situ Solar Wind Observations Using Clustering Methods. - Daniel T. Carpenter; Liang Zhao; Susan T. Lepri; Henry Han (SDSC, 2022)

Forecasting Stock Excess Returns with SEC 8-K Filings. - Henry Han; Yi Wu; Jie Ren; Li Diane (SDSC, 2022)

The challenges of explainable AI in biomedical data science. - Henry Han; Xiangrong Liu (BMC Bioinform., 2022)

Deciphering landscape dynamics of cell fate decision via a Lyapunov method. - Chun Li; Jinxin Dong; Jing Li; Wen Zhu; Peng Wang; Yuhua Yao; Chuanan Wei; Henry Han (Comput. Biol. Chem., 2022)

A simple pre-disease state prediction method based on variations of gene vector features. - Zhenshen Bao; Yihua Zheng; Xianbin Li; Yanhao Huo; Geng Zhao 003; Fengyue Zhang; Xiaoyan Li; Peng Xu 004; Wenbin Liu; Henry Han (Comput. Biol. Medicine, 2022)

Enhance explainability of manifold learning. - Henry Han; Wentian Li; Jiacun Wang; Guimin Qin; Xianya Qin (Neurocomputing, 2022)

Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP. - Fei Han 001; Shaojun Zhu; Qinghua Ling; Henry Han; Hailong Li; Xinli Guo; Jiechuan Cao (Neural Comput. Appl., 2022)

A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems. - Jing Jiang 021; Fei Han 001; Jie Wang 050; Qinghua Ling; Henry Han; Yue Wang (Swarm Evol. Comput., 2022)

Quantification of Gastric Slow Wave Velocity Using Bipolar High-Resolution Recordings. - Henry Han; Leo K. Cheng; Recep Avci; Niranchan Paskaranandavadivel (IEEE Trans. Biomed. Eng., 2022)

Deep Convolutional Neural Networks With Transfer Learning for Automobile Damage Image Classification. - Xiaoguang Tian; Henry Han (J. Database Manag., 2022)

Dimension Reduction Stacking for Deep Solar Wind Clustering. - Daniel T. Carpenter; Henry Han; Liang Zhao (SDSC, 2023)

A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM. - Xiaoguang Tian; Robert Pavur; Henry Han; Lili Zhang (Bus. Process. Manag. J., 2023)

Estimate the incubation period of coronavirus 2019 (COVID-19). - Ke Men; Yihao Li; Xia Wang; Guangwei Zhang; Jingjing Hu; Yanyan Gao; Ashley Han; Wenbin Liu; Henry Han (Comput. Biol. Medicine, 2023)

Unsupervised spectral feature selection algorithms for high dimensional data. - Mingzhao Wang; Henry Han; Zhao Huang; Juanying Xie (Frontiers Comput. Sci., 2023)

Interpretable machine learning assessment. - Henry Han; Yi Wu; Jiacun Wang; Ashley Han (Neurocomputing, 2023)

A many-objective optimization evolutionary algorithm based on hyper-dominance degree. - Zhe Liu; Fei Han 001; Qinghua Ling; Henry Han; Jing Jiang 021 (Swarm Evol. Comput., 2023)

Singular value thresholding two-stage matrix completion for drug sensitivity discovery. - Xuemei Yang; Xiaoduan Tang; Chun Li; Henry Han (Comput. Biol. Chem., 2024)

Visualizing Distributed Traces in Aggregate. - Adrita Samanta; Henry Han; Darby Huye; Lan Liu; Zhaoqi Zhang; Raja R. Sambasivan (CoRR, 2024)

MA-CapsNet-DA: Speech emotion recognition based on MA-CapsNet using data augmentation. - Huiyun Zhang; Heming Huang; Henry Han (Expert Syst. Appl., 2024)

Explainable machine learning for high frequency trading dynamics discovery. - Henry Han; Jeffrey Yi-Lin Forrest; Jiacun Wang; Shuining Yuan; Fei Han; Diane Li (Inf. Sci., 2024)

Reinforcement learning for Hybrid Disassembly Line Balancing Problems. - Jiacun Wang; GuiPeng Xi; XiWang Guo 001; Shixin Liu; ShuJin Qin; Henry Han (Neurocomputing, 2024)

Pricing strategies for remanufacturing with government incentives. - Hui Hao; Gang Ran; Hui-min Liu; Henry Han; Qiannong Gu (Neural Comput. Appl., 2024)

High dimensional mislabeled learning. - Henry Han; Dongdong Li; Wenbin Liu; Huiyun Zhang; Jiacun Wang (Neurocomputing, 2024)

Multi-Objective Advantage Actor-Critic Algorithm for Hybrid Disassembly Line Balancing with Multi-Skilled Workers. - Jiacun Wang; GuiPeng Xi; Xiwang Guo 001; Shujin Qin; Henry Han (Inf., 2024)

A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO. - Fei Han; Fanyu Li; Qinghua Ling; Henry Han; Tianyi Lu; Zijian Jiao; Haonan Zhang (Neural Process. Lett., 2024)

A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems. - Zhe Liu; Fei Han 001; Qinghua Ling; Henry Han; Jing Jiang 021 (Soft Comput., 2024)

Causal fMRI-Mamba: Causal State Space Model for Neural Decoding and Brain Task States Recognition. - Weihao Deng; Fei Han 001; Qinghua Ling; Qing Liu 010; Henry Han (ICASSP, 2025)

A multi-objective evolutionary algorithm based on a grid with adaptive divisions for multi-objective optimization with irregular Pareto fronts. - Zhe Liu; Fei Han 001; Qinghua Ling; Henry Han; Jing Jiang 021; Qing Liu 010 (Appl. Soft Comput., 2025)

RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention. - Huiqing Wei; Fei Han 001; Qing Liu 010; Henry Han (Complex Syst. Model. Simul., 2025)

A denoising majority weighted minority oversampling technique for imbalanced classification. - Fei Han 001; Chuanzhen Wang; Qinghua Ling; Henry Han (Expert Syst. Appl., 2025)

Hierarchical convolutional neural networks with post-attention for speech emotion recognition. - Yonghong Fan; Heming Huang; Henry Han (Neurocomputing, 2025)

A Novel Multimodal Fusion Method for Depression Detection Using Graph Convolutional Neural Networks. - Yan Xing 002; Yanan Yang; Min Hu; Daolun Li; Wen-shu Zha; Henry Han (Int. J. Imaging Syst. Technol., 2025)

Contribution-based imbalanced hybrid resampling ensemble. - Lingyun Zhao; Fei Han 001; Qinghua Ling; Yubin Ge; Yuze Zhang; Qing Liu 010; Henry Han (Pattern Recognit., 2025)

Feature enrichment imitative reinforcement learning for high-frequency trading. - Fei Han 001; Qinghua Ling; Sheng Lu; Henry Han (Expert Syst. Appl., 2026)