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2020 – today
- 2023
[j10]Longhai Li, Lei Duan, Junchen Wang, Chengxin He, Zihao Chen, Guicai Xie, Song Deng, Zhaohang Luo:
Memory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs. Data Sci. Eng. 8(2): 98-111 (2023)- [c12]Yuanhao Zhang, Chengxin He, Longhai Li, Bingzhe Zhang, Lei Duan, Jie Zuo:
Hypergraph-Enhanced Self-supervised Heterogeneous Graph Representation Learning. APWeb/WAIM (3) 2023: 280-295 - 2022
- [j9]Wutao Yin, Longhai Li
, Fang-Xiang Wu:
Deep learning for brain disorder diagnosis based on fMRI images. Neurocomputing 469: 332-345 (2022) - [j8]Wutao Yin, Longhai Li, Fang-Xiang Wu:
A semi-supervised autoencoder for autism disease diagnosis. Neurocomputing 483: 140-147 (2022) - [j7]Wutao Yin, Longhai Li, Fang-Xiang Wu:
Corrigendum to "Deep learning for brain disorder diagnosis based on fMRI images" [Neurocomputing 469 (2022) 332-345]. Neurocomputing 509: 271 (2022) - [c11]Longhai Li, Lei Duan, Junchen Wang, Guicai Xie, Chengxin He, Zihao Chen, Song Deng:
Transformer-Based Representation Learning on Temporal Heterogeneous Graphs. APWeb/WAIM (2) 2022: 385-400 - 2021
- [j6]Wei Bai, Mei Dong, Longhai Li, Cindy Feng, Wei Xu:
Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data. BMC Bioinform. 22(1): 564 (2021) - [j5]Gabrielle Dagasso, Yan Yan, Lipu Wang, Longhai Li, Randy Kutcher, Wentao Zhang, Lingling Jin:
Leveraging machine learning to advance genome-wide association studies. Int. J. Data Min. Bioinform. 25(1/2): 17-36 (2021) - [c10]Wutao Yin, Longhai Li, Fang-Xiang Wu:
A Graph Attention Neural Network for Diagnosing ASD with fMRI Data. BIBM 2021: 1131-1136 - [c9]Yifan Xu, Lei Duan, Guicai Xie, Min Fu, Longhai Li, Jyrki Nummenmaa:
Efficient Mining of Outlying Sequential Behavior Patterns. DASFAA (2) 2021: 325-341 - [c8]Jilong Cao, Pengfei Xu, Xiangyang Song, Longhai Li, Feng Ren, Chunlai Song, Yuxuan Cong, Dechun Zhou:
Study on 1.5μm Laser Properties of Er³⁺/Yb³⁺ Co-doped Fluoroaluminophosphate Glass Fiber Materials. ICAIT 2021: 20-24 - 2020
- [c7]Chengxin He, Lei Duan, Huiru Zheng, Jesse Li-Ling, Longhai Li:
DRAMA: Discovering Disease-related circRNA-miRNA-mRNA Axes from Disease-RNA Information Network. BIBM 2020: 269-274 - [c6]Gabrielle Dagasso, Yan Yan, Lipu Wang, Longhai Li, Randy Kutcher, Wentao Zhang, Lingling Jin:
Comprehensive-GWAS: a pipeline for genome-wide association studies utilizing cross-validation to assess the predictivity of genetic variations. BIBM 2020: 1361-1367
2010 – 2019
- 2019
- [j4]Jin-Hong Shi, Yan Yan, Matthew G. Links, Longhai Li, Jo-Anne R. Dillon, Michael Horsch, Anthony J. Kusalik:
Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection. BMC Bioinform. 20-S(15): 535 (2019) - 2018
- [c5]Longhai Li, Wendong Liu, Zhaoyu Zhong, Chengqiang Huang:
SP-Phoenix: A Massive Spatial Point Data Management System Based on Phoenix. HPCC/SmartCity/DSS 2018: 1634-1641 - 2016
- [j3]Longhai Li, Shi Qiu, Bei Zhang, Cindy X. Feng:
Approximating cross-validatory predictive evaluation in Bayesian latent variable models with integrated IS and WAIC. Stat. Comput. 26(4): 881-897 (2016) - [c4]Lingling Jin, Ian McQuillan, Longhai Li:
Computational identification of regions that influence activity of transposable elements in the human genome. BIBM 2016: 592-599 - 2015
- [c3]Fanan Wei, Longhai Li, Lianqing Liu:
Facile synthesis of copper nanostructures through simple replacement reaction. NEMS 2015: 160-163 - 2014
- [c2]Chengqiang Huang, Atsuko Miyaji, Longhai Li, Shangmei Xu:
POND: A Novel Protocol for Network Coding Based on Hybrid Cryptographic Scheme. CIT 2014: 373-380 - 2013
- [c1]Longhai Li, Xiaojun Tian, Zaili Dong, Lianqing Liu, Osamu Tabata, Wen Jung Li:
Manipulation of DNA origami nanotubes in liquid using a programmable tapping mode AFM. NEMS 2013: 56-59 - 2012
- [j2]Tolulope T. Sajobi, Lisa M. Lix, Bolanle M. Dansu, William Laverty, Longhai Li:
Robust descriptive discriminant analysis for repeated measures data. Comput. Stat. Data Anal. 56(9): 2782-2794 (2012) - 2010
- [j1]Longhai Li:
Are Bayesian Inferences Weak for Wasserman's Example? Commun. Stat. Simul. Comput. 39(3): 655-667 (2010)
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