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2020 – today
- 2026
[j53]Fei Han, Qinghua Ling, Sheng Lu, Henry Han:
Feature enrichment imitative reinforcement learning for high-frequency trading. Expert Syst. Appl. 296: 129043 (2026)- 2025
- [j52]Lingyun Zhao, Fei Han, Qinghua Ling, Henry Han, Zhu Yao, Wenhao Liu, Zihao Zhou:
A Survey on Class Imbalance Learning Algorithms in Complex Scenarios. IEEE Access 13: 180799-180833 (2025) - [j51]Zhe Liu
, Fei Han, Qinghua Ling, Henry Han, Jing Jiang, Qing Liu:
A multi-objective evolutionary algorithm based on a grid with adaptive divisions for multi-objective optimization with irregular Pareto fronts. Appl. Soft Comput. 176: 113106 (2025) - [j50]Huiqing Wei, Fei Han, Qing Liu, Henry Han:
RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention. Complex Syst. Model. Simul. 5(2): 125-137 (2025) - [j49]Fei Han, Chuanzhen Wang, Qinghua Ling, Henry Han:
A denoising majority weighted minority oversampling technique for imbalanced classification. Expert Syst. Appl. 288: 128199 (2025) - [j48]Yonghong Fan, Heming Huang, Henry Han:
Hierarchical convolutional neural networks with post-attention for speech emotion recognition. Neurocomputing 615: 128879 (2025) - [j47]Yan Xing, Yanan Yang, Min Hu, Daolun Li, Wen-shu Zha, Henry Han:
A Novel Multimodal Fusion Method for Depression Detection Using Graph Convolutional Neural Networks. Int. J. Imaging Syst. Technol. 35(4) (2025) - [j46]Lingyun Zhao, Fei Han, Qinghua Ling, Yubin Ge, Yuze Zhang, Qing Liu, Henry Han:
Contribution-based imbalanced hybrid resampling ensemble. Pattern Recognit. 164: 111553 (2025) - [c14]Weihao Deng, Fei Han, Qinghua Ling, Qing Liu, Henry Han:
Causal fMRI-Mamba: Causal State Space Model for Neural Decoding and Brain Task States Recognition. ICASSP 2025: 1-5 - 2024
- [j45]Xuemei Yang, Xiaoduan Tang, Chun Li, Henry Han:
Singular value thresholding two-stage matrix completion for drug sensitivity discovery. Comput. Biol. Chem. 110: 108071 (2024) - [j44]Huiyun Zhang, Heming Huang, Henry Han:
MA-CapsNet-DA: Speech emotion recognition based on MA-CapsNet using data augmentation. Expert Syst. Appl. 244: 122939 (2024) - [j43]Jiacun Wang, GuiPeng Xi, XiWang Guo, Shixin Liu, ShuJin Qin, Henry Han:
Reinforcement learning for Hybrid Disassembly Line Balancing Problems. Neurocomputing 569: 127145 (2024) - [j42]Henry Han, Dongdong Li, Wenbin Liu, Huiyun Zhang, Jiacun Wang:
High dimensional mislabeled learning. Neurocomputing 573: 127218 (2024) - [j41]Jiacun Wang, GuiPeng Xi, Xiwang Guo, Shujin Qin, Henry Han:
Multi-Objective Advantage Actor-Critic Algorithm for Hybrid Disassembly Line Balancing with Multi-Skilled Workers. Inf. 15(3): 168 (2024) - [j40]Henry Han, Jeffrey Yi-Lin Forrest, Jiacun Wang, Shuining Yuan, Fei Han, Diane Li:
Explainable machine learning for high frequency trading dynamics discovery. Inf. Sci. 684: 121286 (2024) - [j39]Hui Hao, Gang Ran, Hui-min Liu, Henry Han, Qiannong Gu:
Pricing strategies for remanufacturing with government incentives. Neural Comput. Appl. 36(5): 2187-2200 (2024) - [j38]Fei Han, Fanyu Li, Qinghua Ling, Henry Han, Tianyi Lu, Zijian Jiao, Haonan Zhang:
A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO. Neural Process. Lett. 56(2): 110 (2024) - [j37]Zhe Liu, Fei Han, Qinghua Ling, Henry Han, Jing Jiang:
A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems. Soft Comput. 28(9-10): 6475-6499 (2024) - [e3]Henry Han, Erich Baker:
Next Generation Data Science - Second Southwest Data Science Conference, SDSC 2023, Waco, TX, USA, March 24-25, 2023, Revised Selected Papers. Communications in 2113, Springer 2024, ISBN 978-3-031-61815-4 [contents] - [i1]Adrita Samanta, Henry Han, Darby Huye, Lan Liu, Zhaoqi Zhang, Raja R. Sambasivan:
Visualizing Distributed Traces in Aggregate. CoRR abs/2412.07036 (2024) - 2023
- [j36]Xiaoguang Tian, Robert Pavur, Henry Han, Lili Zhang:
A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM. Bus. Process. Manag. J. 29(1): 202-222 (2023) - [j35]Ke Men, Yihao Li, Xia Wang, Guangwei Zhang, Jingjing Hu, Yanyan Gao, Ashley Han, Wenbin Liu, Henry Han:
Estimate the incubation period of coronavirus 2019 (COVID-19). Comput. Biol. Medicine 158: 106794 (2023) - [j34]Mingzhao Wang, Henry Han, Zhao Huang, Juanying Xie:
Unsupervised spectral feature selection algorithms for high dimensional data. Frontiers Comput. Sci. 17(5): 175330 (2023) - [j33]Henry Han, Yi Wu, Jiacun Wang, Ashley Han:
Interpretable machine learning assessment. Neurocomputing 561: 126891 (2023) - [j32]Zhe Liu, Fei Han, Qinghua Ling, Henry Han, Jing Jiang:
A many-objective optimization evolutionary algorithm based on hyper-dominance degree. Swarm Evol. Comput. 83: 101411 (2023) - [c13]Daniel T. Carpenter, Henry Han, Liang Zhao:
Dimension Reduction Stacking for Deep Solar Wind Clustering. SDSC 2023: 111-125 - 2022
- [j31]Henry Han, Xiangrong Liu:
The challenges of explainable AI in biomedical data science. BMC Bioinform. 22-S(12): 443 (2022) - [j30]Chun Li, Jinxin Dong, Jing Li, Wen Zhu, Peng Wang, Yuhua Yao, Chuanan Wei, Henry Han:
Deciphering landscape dynamics of cell fate decision via a Lyapunov method. Comput. Biol. Chem. 98: 107689 (2022) - [j29]Zhenshen Bao, Yihua Zheng, Xianbin Li, Yanhao Huo, Geng Zhao, Fengyue Zhang, Xiaoyan Li, Peng Xu, Wenbin Liu, Henry Han:
A simple pre-disease state prediction method based on variations of gene vector features. Comput. Biol. Medicine 148: 105890 (2022) - [j28]Henry Han, Wentian Li, Jiacun Wang, Guimin Qin, Xianya Qin:
Enhance explainability of manifold learning. Neurocomputing 500: 877-895 (2022) - [j27]Xiaoguang Tian, Henry Han:
Deep Convolutional Neural Networks With Transfer Learning for Automobile Damage Image Classification. J. Database Manag. 33(3): 1-16 (2022) - [j26]Fei Han, Shaojun Zhu, Qinghua Ling, Henry Han, Hailong Li, Xinli Guo, Jiechuan Cao:
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP. Neural Comput. Appl. 34(19): 16325-16339 (2022) - [j25]Jing Jiang, Fei Han, Jie Wang, Qinghua Ling, Henry Han, Yue Wang:
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems. Swarm Evol. Comput. 72: 101093 (2022) - [j24]Henry Han, Leo K. Cheng, Recep Avci, Niranchan Paskaranandavadivel:
Quantification of Gastric Slow Wave Velocity Using Bipolar High-Resolution Recordings. IEEE Trans. Biomed. Eng. 69(3): 1063-1071 (2022) - [c12]Henry Han, Yi Wu, Jie Ren, Li Diane:
Forecasting Stock Excess Returns with SEC 8-K Filings. SDSC 2022: 3-18 - [c11]Daniel T. Carpenter, Liang Zhao, Susan T. Lepri, Henry Han:
Characterizing In-Situ Solar Wind Observations Using Clustering Methods. SDSC 2022: 125-138 - [e2]Henry Han, Erich Baker:
The Recent Advances in Transdisciplinary Data Science - First Southwest Data Science Conference, SDSC 2022, Waco, TX, USA, March 25-26, 2022, Revised Selected Papers. Communications in Computer and Information Science 1725, Springer 2022, ISBN 978-3-031-23386-9 [contents] - 2021
- [j23]Huiyun Zhang, Heming Huang, Henry Han:
Attention-Based Convolution Skip Bidirectional Long Short-Term Memory Network for Speech Emotion Recognition. IEEE Access 9: 5332-5342 (2021) - [j22]Junyi Li, Wei Jiang, Henry Han, Jing Liu, Bo Liu, Yadong Wang:
ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering. Comput. Biol. Chem. 90: 107415 (2021) - [j21]Jing Jiang, Fei Han, Jie Wang, Qinghua Ling, Henry Han, Zizhu Fan:
Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search. Inf. Sci. 576: 557-576 (2021) - [j20]Henry Han, Jie Teng, Junruo Xia, Yunhan Wang, Zihao Guo, Deqing Li:
Predict high-frequency trading marker via manifold learning. Knowl. Based Syst. 213: 106662 (2021) - [j19]Yanbang Zhang, Fen Zhang, Lei Guo, Henry Han:
Salient object detection using feature clustering and compactness prior. Multim. Tools Appl. 80(16): 24867-24884 (2021) - [j18]Fei Han, Wentao Chen, Qing-Hua Ling, Henry Han:
Multi-objective particle swarm optimization with adaptive strategies for feature selection. Swarm Evol. Comput. 62: 100847 (2021) - [c10]Henry Han:
Hierarchical learning for option implied volatility pricing. HICSS 2021: 1-10 - 2020
- [j17]Wenbin Liu, Dongdong Li, Henry Han:
Manifold Learning Analysis for Allele-Skewed DNA Modification SNPs for Psychiatric Disorders. IEEE Access 8: 33023-33038 (2020) - [j16]Peng Xu, Qian Wu, Yongsheng Rao, Zheng Kou, Gang Fang, Wenbin Liu, Henry Han:
Predicting the Influence of MicroRNAs on Drug Therapeutic Effects by Random Walking. IEEE Access 8: 117347-117353 (2020) - [j15]Peng Xu, Qian Wu, Deyang Lu, Jian Yu, Yongsheng Rao, Zheng Kou, Gang Fang, Wenbin Liu, Henry Han:
A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path. BMC Bioinform. 21(1): 396 (2020) - [j14]Jing Jiang, Fei Han, Qinghua Ling, Jie Wang, Tiange Li, Henry Han:
Efficient network architecture search via multiobjective particle swarm optimization based on decomposition. Neural Networks 123: 305-316 (2020) - [c9]Henry Han, Leo K. Cheng, Recep Avci, Niranchan Paskaranandavadivel:
Detection of Slow Wave Propagation Direction Using Bipolar High-Resolution Recordings. EMBC 2020: 837-840 - [e1]Henry Han, Tie Wei, Wenbin Liu, Fei Han:
Recent Advances in Data Science - Third International Conference on Data Science, Medicine, and Bioinformatics, IDMB 2019, Nanning, China, June 22-24, 2019, Revised Selected Papers. Communications in Computer and Information Science 1099, Springer 2020, ISBN 978-981-15-8759-7 [contents]
2010 – 2019
- 2019
- [j13]Tianhua Guan, Fei Han, Henry Han:
A Modified Multi-Objective Particle Swarm Optimization Based on Levy Flight and Double-Archive Mechanism. IEEE Access 7: 183444-183467 (2019) - [j12]Henry Han, Wenbin Liu:
Preface. BMC Bioinform. 20-S(8): 286:1 (2019) - [j11]Henry Han, Wenbin Liu:
The coming era of artificial intelligence in biological data science. BMC Bioinform. 20-S(22): 712 (2019) - [j10]Wenbin Liu, Zhendong Cui, Peng Xu, Henry Han, Jun Zhu:
Conditional GWAS revealing genetic impacts of lifestyle behaviors on low-density lipoprotein (LDL). Comput. Biol. Chem. 78: 497-503 (2019) - [j9]Wenbin Liu, Yugai Du, Gang Fang, Zheng Kou, Xianghong Wang, Henry Han:
Efficient Gaussian sample specific network marker discovery and drug enrichment analysis validation. Comput. Biol. Chem. 83 (2019) - [c8]Henry Han, Leo K. Cheng, Timothy R. Angeli, Niranchan Paskaranandavadivel:
Detection of Monophasic Slow-wave Activation Phase Using Wavelet Decomposition. EMBC 2019: 7157-7160 - [c7]Henry Han, Jie Teng, Junruo Xia, Yunhan Wang, Zihao Guo, Deqing Li:
Locally Linear Embedding for High-Frequency Trading Marker Discovery. IDMB 2019: 3-17 - [c6]Henry Han, Haofeng Huang, Jiayin Hu, Fangjun Kuang:
Implied Volatility Pricing with Selective Learning. IDMB 2019: 18-34 - [c5]Tiange Li, Henry Han:
A High-Performance Basketball Game Forecast Using Magic Feature Extraction. IDMB 2019: 35-50 - [c4]Tingting Liu, Tie Wei, Henry Han, Tiange Li:
Patent Text Mining on Technology Evolution Path in 5G Communication Field. IDMB 2019: 65-81 - 2018
- [j8]Henry Han, Ke Men:
How does normalization impact RNA-seq disease diagnosis? J. Biomed. Informatics 85: 80-92 (2018) - [c3]Ying Liu, Henry Han, Joan DeBello:
The Challenges of Business Analytics: Successes and Failures. HICSS 2018: 1-10 - 2017
- [j7]Henry Han:
A novel feature selection for RNA-seq analysis. Comput. Biol. Chem. 71: 245-257 (2017) - [j6]Xuemei Yang, Henry Han:
Factors analysis of protein O-glycosylation site prediction. Comput. Biol. Chem. 71: 258-263 (2017) - [j5]Wentian Li, Jane E. Cerise, Yaning Yang, Henry Han:
Application of t-SNE to human genetic data. J. Bioinform. Comput. Biol. 15(4): 1750017:1-1750017:14 (2017) - 2014
- [c2]Henry Han:
Analyzing Support Vector Machine Overfitting on Microarray Data. ICIC (3) 2014: 148-156 - [c1]Henry Han:
A Novel Profile Biomarker Diagnosis for Mass Spectral Proteomics. Pacific Symposium on Biocomputing 2014: 340-351 - 2013
- [j4]Henry Han, Xiaoli Li, See-Kiong Ng, Zhou Ji:
Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics. J. Bioinform. Comput. Biol. 11(6) (2013) - 2011
- [j3]Henry Han, Xiaoli Li:
Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery. BMC Bioinform. 12(S-1): S7 (2011) - [j2]Henry Han:
A high performance profile-biomarker diagnosis for mass spectral profiles. BMC Syst. Biol. 5(S-2): S5 (2011) - 2010
- [j1]Henry Han:
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery. BMC Bioinform. 11(S-1): 1 (2010)
Coauthor Index
aka: Qinghua Ling
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