Towards Web Services Composition Based on the Mining and Reasoning of Their Causal Relationships. - Kun Yue; Weiyi Liu; Weihua Li 006 (APWeb/WAIM, 2007)

Recovering the Global Structure from Multiple Local Bayesian Networks. - Weihua Li 006; Weiyi Liu; Kun Yue (Int. J. Artif. Intell. Tools, 2008)

Optimal Decomposition of Limited Memory Influence Diagrams. - Weihua Li 006; Weiyi Liu; Yuanling Xia (DBTA, 2010)

Constructing the Bayesian network structure from dependencies implied in multiple relational schemas. - Wei-Yi Liu; Kun Yue; Weihua Li 006 (Expert Syst. Appl., 2011)

A novel method of text representation on hybrid neural networks. - Yanbu Guo; Chen Jin; Weihua Li 006; Chen Ji; Yuan Fang; Yunhao Duan (CISP-BMEI, 2017)

Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. - Yanbu Guo; Bingyi Wang; Weihua Li 006; Bei Yang (J. Bioinform. Comput. Biol., 2018)

DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction. - Yanbu Guo; Weihua Li 006; Bingyi Wang; Huiqing Liu; Dongming Zhou (BMC Bioinform., 2019)

基于贝叶斯网的短文本特征扩展方法 (Short Text Feature Extension Method Based on Bayesian Networks). - Huiqing Liu; Yanbu Guo; Hongling Li; Weihua Li 006 (计算机科学, 2019)

DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction. - Yanbu Guo; Dongming Zhou; Rencan Nie; Xiaoli Ruan; Weihua Li 006 (Neurocomputing, 2020)

Attentive gated neural networks for identifying chromatin accessibility. - Yanbu Guo; Dongming Zhou; Weihua Li 006; Rencan Nie; Ruichao Hou; Chengli Zhou (Neural Comput. Appl., 2020)

zk15120170770 at FakeDeS 2021: Fake news detection based on Pre-training Model. - Kun Zhao; Siyao Zhou 001; Weihua Li 006 (IberLEF@SEPLN, 2021)

Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks. - Yanbu Guo; Dongming Zhou; Weihua Li 006; Jinde Cao; Rencan Nie; Lei Xiong; Xiaoli Ruan (Appl. Soft Comput., 2021)

Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation. - Chen Jin; Zhuangwei Shi; Weihua Li 006; Yanbu Guo (CoRR, 2021)

Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition. - Yanbu Guo; Dongming Zhou; Weihua Li 006; Jinde Cao (Expert Syst. Appl., 2022)

Deep Effective k-mer representation learning for polyadenylation signal prediction via co-occurrence embedding. - Yanbu Guo; Hongxue Shen; Weihua Li 006; Chaoyang Li 001; Chen Jin (Knowl. Based Syst., 2022)

Knowledge-aware representation learning for diagnosis prediction. - Weihua Li 006; Hang Li; Bei Yang; Lihua Zhou; Xianming Yang; Miao Zhang; Bingyi Wang (Expert Syst. J. Knowl. Eng., 2023)

Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction. - Weihua Li 006; Yanbu Guo; Bingyi Wang; Bei Yang (Pattern Recognit., 2023)

MetaFluAD: meta-learning for predicting antigenic distances among influenza viruses. - Qitao Jia; Yuanling Xia; Fanglin Dong; Weihua Li 006 (Briefings Bioinform., 2024)

UCFN Net: Ulcerative colitis evaluation based on fine-grained lesion learner and noise suppression gating. - Haiyan Li; Zhixin Wang; Zheng Guan; Jiarong Miao; Weihua Li 006; Pengfei Yu 003; Carlos Molina-Jiménez (Comput. Methods Programs Biomed., 2024)

FluPMT: Prediction of Predominant Strains of Influenza A Viruses via Multi-Task Learning. - Changfeng Cai; Jianghui Li; Yuanling Xia; Weihua Li 006 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

RT-Transformer: retention time prediction for metabolite annotation to assist in metabolite identification. - Jun Xue; Bingyi Wang; Hongchao Ji; Weihua Li 006 (Bioinform., 2024)

Enhancing diagnosis prediction with adaptive disease representation learning. - Hengliang Cheng; Shibo Li; Tao Shen; Weihua Li 006 (Artif. Intell. Medicine, 2025)

MHS U-Net: Multi-scale hybrid subtraction network for medical image segmentation. - Junran Qian; Haiyan Li; Shuran Liao; Zhe Xiao; Weihua Li 006; Hongsong Li (Comput. Biol. Medicine, 2025)

A dual medical ontology and relational graph framework with neural ordinary differential equations for diagnostic prediction. - Shibo Li; Fanglin Dong; Runze Li; Weihua Li 006 (Neurocomputing, 2025)

ABCoRT: Retention Time Prediction for Metabolite Identification via Atom-Bond Co-Learning. - Guangbin Cheng; Bingyi Wang; Nannan Bai; Weihua Li 006 (J. Chem. Inf. Model., 2025)

CKDTA: A chemical knowledge-enhanced framework for drug-target affinity prediction. - Xingran Zhao; Yanbu Guo; Bingyi Wang; Weihua Li 006 (J. Comput. Sci., 2025)

DuCGRN: A dual context-aware model for Gene Regulatory Network prediction from ScRNA-seq data. - Dingkui Dong; Weihua Li 006 (Knowl. Based Syst., 2025)

TCKAN: a novel integrated network model for predicting mortality risk in sepsis patients. - Fanglin Dong; Shibo Li; Weihua Li 006 (Medical Biol. Eng. Comput., 2025)

DiffAD: Diffusion augmentation for influenza virus antigenic distance prediction. - Qingbo Liu; Yuanling Xia; Yanbu Guo; Weihua Li 006 (Expert Syst. Appl., 2026)