Longhai Li

23 papers C 2Journal 10Unranked 11
YearRankTypeTitle / Venue / Authors
2023 — conf
Hypergraph-Enhanced Self-supervised Heterogeneous Graph Representation Learning.
APWeb/WAIM (3)
Yuanhao Zhang, Chengxin He, Longhai Li, Bingzhe Zhang, Lei Duan, Jie Zuo
2023 J jnl
Memory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs.
Data Sci. Eng.
Longhai Li, Lei Duan, Junchen Wang, Chengxin He, Zihao Chen, Guicai Xie, Song Deng, Zhaohang Luo
2022 J jnl
A semi-supervised autoencoder for autism disease diagnosis.
Neurocomputing
Wutao Yin, Longhai Li, Fang-Xiang Wu
2022 J jnl
Corrigendum to "Deep learning for brain disorder diagnosis based on fMRI images" [Neurocomputing 469 (2022) 332-345].
Neurocomputing
Wutao Yin, Longhai Li, Fang-Xiang Wu
2022 J jnl
Deep learning for brain disorder diagnosis based on fMRI images.
Neurocomputing
Wutao Yin, Longhai Li, Fang-Xiang Wu
2022 — conf
Transformer-Based Representation Learning on Temporal Heterogeneous Graphs.
APWeb/WAIM (2)
Longhai Li, Lei Duan, Junchen Wang, Guicai Xie, Chengxin He, Zihao Chen, Song Deng
2021 — conf
A Graph Attention Neural Network for Diagnosing ASD with fMRI Data.
BIBM
Wutao Yin, Longhai Li, Fang-Xiang Wu
2021 — conf
Efficient Mining of Outlying Sequential Behavior Patterns.
DASFAA (2)
Yifan Xu, Lei Duan, Guicai Xie, Min Fu, Longhai Li, Jyrki Nummenmaa
2021 J jnl
Leveraging machine learning to advance genome-wide association studies.
Int. J. Data Min. Bioinform.
Gabrielle Dagasso, Yan Yan, Lipu Wang, Longhai Li, Randy Kutcher, Wentao Zhang, Lingling Jin
2021 J jnl
Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data.
BMC Bioinform.
Wei Bai, Mei Dong, Longhai Li, Cindy Feng, Wei Xu
2021 — conf
Study on 1.5μm Laser Properties of Er³⁺/Yb³⁺ Co-doped Fluoroaluminophosphate Glass Fiber Materials.
ICAIT
Jilong Cao, Pengfei Xu, Xiangyang Song, Longhai Li, Feng Ren, Chunlai Song, Yuxuan Cong, Dechun Zhou
2020 — conf
Comprehensive-GWAS: a pipeline for genome-wide association studies utilizing cross-validation to assess the predictivity of genetic variations.
BIBM
Gabrielle Dagasso, Yan Yan, Lipu Wang, Longhai Li, Randy Kutcher, Wentao Zhang, Lingling Jin
2020 — conf
DRAMA: Discovering Disease-related circRNA-miRNA-mRNA Axes from Disease-RNA Information Network.
BIBM
Chengxin He, Lei Duan, Huiru Zheng, Jesse Li-Ling, Longhai Li
2019 J jnl
Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection.
BMC Bioinform.
Jin-Hong Shi, Yan Yan, Matthew G. Links, Longhai Li, Jo-Anne R. Dillon, Michael Horsch, Anthony J. Kusalik
2018 — conf
SP-Phoenix: A Massive Spatial Point Data Management System Based on Phoenix.
HPCC/SmartCity/DSS
Longhai Li, Wendong Liu, Zhaoyu Zhong, Chengqiang Huang
2016 J jnl
Approximating cross-validatory predictive evaluation in Bayesian latent variable models with integrated IS and WAIC.
Stat. Comput.
Longhai Li, Shi Qiu, Bei Zhang, Cindy X. Feng
2016 — conf
Computational identification of regions that influence activity of transposable elements in the human genome.
BIBM
Lingling Jin, Ian McQuillan, Longhai Li
2015 — conf
Facile synthesis of copper nanostructures through simple replacement reaction.
NEMS
Fanan Wei, Longhai Li, Lianqing Liu
2014 C conf
POND: A Novel Protocol for Network Coding Based on Hybrid Cryptographic Scheme.
CIT
Chengqiang Huang, Atsuko Miyaji, Longhai Li, Shangmei Xu
2013 — conf
Manipulation of DNA origami nanotubes in liquid using a programmable tapping mode AFM.
NEMS
Longhai Li, Xiaojun Tian, Zaili Dong, Lianqing Liu, Osamu Tabata, Wen Jung Li
2012 J jnl
Robust descriptive discriminant analysis for repeated measures data.
Comput. Stat. Data Anal.
Tolulope T. Sajobi, Lisa M. Lix, Bolanle M. Dansu, William Laverty, Longhai Li
2010 J jnl
Are Bayesian Inferences Weak for Wasserman's Example?
Commun. Stat. Simul. Comput.
Longhai Li
2009 C conf
Active Attacks on Reputable Mix Networks.
ISPA
Longhai Li, Shaofeng Fu, XiangQuan Che