Weihua Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Protein Secondary Structure Prediction

Conceptual Spaces

Influenza Virus

Top Venues

Briefings Bioinform.

Publications

Haiyan Li, Zhixin Wang, Zheng Guan, Jiarong Miao, Weihua Li, Pengfei Yu, Carlos Molina-Jiménez
UCFN Net: Ulcerative colitis evaluation based on fine-grained lesion learner and noise suppression gating. Comput. Methods Programs Biomed. 247 (2024)
Jun Xue, Bingyi Wang, Hongchao Ji, Weihua Li
RT-Transformer: retention time prediction for metabolite annotation to assist in metabolite identification. Bioinform. 40 (3) (2024)
Qitao Jia, Yuanling Xia, Fanglin Dong, Weihua Li
MetaFluAD: meta-learning for predicting antigenic distances among influenza viruses. Briefings Bioinform. 25 (5) (2024)
Weihua Li, Hang Li, Bei Yang, Lihua Zhou, Xianming Yang, Miao Zhang, Bingyi Wang
Knowledge-aware representation learning for diagnosis prediction. Expert Syst. J. Knowl. Eng. 40 (3) (2023)
Weihua Li, Yanbu Guo, Bingyi Wang, Bei Yang
Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction. Pattern Recognit. 136 (2023)
Yanbu Guo, Dongming Zhou, Weihua Li, Jinde Cao
Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition. Expert Syst. Appl. 207 (2022)
Yanbu Guo, Hongxue Shen, Weihua Li, Chaoyang Li, Chen Jin
-mer representation learning for polyadenylation signal prediction via co-occurrence embedding. Knowl. Based Syst. 256 (2022)
Yanbu Guo, Dongming Zhou, Weihua Li, Jinde Cao, Rencan Nie, Lei Xiong, Xiaoli Ruan
Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks. Appl. Soft Comput. 103 (2021)
Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation. CoRR (2021)
Kun Zhao, Siyao Zhou, Weihua Li
zk15120170770 at FakeDeS 2021: Fake news detection based on Pre-training Model. IberLEF@SEPLN (2021)
Yanbu Guo, Dongming Zhou, Rencan Nie, Xiaoli Ruan, Weihua Li
DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction. Neurocomputing 379 (2020)
Yanbu Guo, Dongming Zhou, Weihua Li, Rencan Nie, Ruichao Hou, Chengli Zhou
Attentive gated neural networks for identifying chromatin accessibility. Neural Comput. Appl. 32 (19) (2020)
Yanbu Guo, Weihua Li, Bingyi Wang, Huiqing Liu, Dongming Zhou
DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction. BMC Bioinform. 20 (1) (2019)
Huiqing Liu, Yanbu Guo, Hongling Li, Weihua Li
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). 计算机科学 46 (11A) (2019)
Yanbu Guo, Bingyi Wang, Weihua Li, Bei Yang
Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. J. Bioinform. Comput. Biol. 16 (5) (2018)
Yanbu Guo, Chen Jin, Weihua Li, Chen Ji, Yuan Fang, Yunhao Duan
A novel method of text representation on hybrid neural networks. CISP-BMEI (2017)