Weihua Li - RankMe

30 papers Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiffAD: Diffusion augmentation for influenza virus antigenic distance prediction. Expert Syst. Appl. Qingbo Liu, Yuanling Xia, Yanbu Guo, Weihua Li
2026	J	`jnl`	Graph contrastive learning with positional embeddings for predicting influenza antigenicity. Inf. Sci. Qingbo Liu, Yuan-Ling Xia, Yanbu Guo, Weihua Li
2025	J	`jnl`	A dual medical ontology and relational graph framework with neural ordinary differential equations for diagnostic prediction. Neurocomputing Shibo Li, Fanglin Dong, Runze Li, Weihua Li
2025	J	`jnl`	ABCoRT: Retention Time Prediction for Metabolite Identification via Atom-Bond Co-Learning. J. Chem. Inf. Model. Guangbin Cheng, Bingyi Wang, Nannan Bai, Weihua Li
2025	J	`jnl`	CKDTA: A chemical knowledge-enhanced framework for drug-target affinity prediction. J. Comput. Sci. Xingran Zhao, Yanbu Guo, Bingyi Wang, Weihua Li
2025	J	`jnl`	DuCGRN: A dual context-aware model for Gene Regulatory Network prediction from ScRNA-seq data. Knowl. Based Syst. Dingkui Dong, Weihua Li
2025	J	`jnl`	Enhancing diagnosis prediction with adaptive disease representation learning. Artif. Intell. Medicine Hengliang Cheng, Shibo Li, Tao Shen, Weihua Li
2025	J	`jnl`	MHS U-Net: Multi-scale hybrid subtraction network for medical image segmentation. Comput. Biol. Medicine Junran Qian, Haiyan Li, Shuran Liao, Zhe Xiao, Weihua Li, Hongsong Li
2025	J	`jnl`	TCKAN: a novel integrated network model for predicting mortality risk in sepsis patients. Medical Biol. Eng. Comput. Fanglin Dong, Shibo Li, Weihua Li
2024	J	`jnl`	FluPMT: Prediction of Predominant Strains of Influenza A Viruses via Multi-Task Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Changfeng Cai, Jianghui Li, Yuanling Xia, Weihua Li
2024	J	`jnl`	MetaFluAD: meta-learning for predicting antigenic distances among influenza viruses. Briefings Bioinform. Qitao Jia, Yuanling Xia, Fanglin Dong, Weihua Li
2024	J	`jnl`	RT-Transformer: retention time prediction for metabolite annotation to assist in metabolite identification. Bioinform. Jun Xue, Bingyi Wang, Hongchao Ji, Weihua Li
2024	J	`jnl`	UCFN Net: Ulcerative colitis evaluation based on fine-grained lesion learner and noise suppression gating. Comput. Methods Programs Biomed. Haiyan Li, Zhixin Wang, Zheng Guan, Jiarong Miao, Weihua Li, Pengfei Yu, Carlos Molina-Jiménez
2023	J	`jnl`	Knowledge-aware representation learning for diagnosis prediction. Expert Syst. J. Knowl. Eng. Weihua Li, Hang Li, Bei Yang, Lihua Zhou, Xianming Yang, Miao Zhang, Bingyi Wang
2023	J	`jnl`	Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction. Pattern Recognit. Weihua Li, Yanbu Guo, Bingyi Wang, Bei Yang
2022	J	`jnl`	Deep Effective Knowl. Based Syst. Yanbu Guo, Hongxue Shen, Weihua Li, Chaoyang Li, Chen Jin
2022	J	`jnl`	Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition. Expert Syst. Appl. Yanbu Guo, Dongming Zhou, Weihua Li, Jinde Cao
2021	J	`jnl`	Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation. CoRR Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo
2021	J	`jnl`	Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks. Appl. Soft Comput. Yanbu Guo, Dongming Zhou, Weihua Li, Jinde Cao, Rencan Nie, Lei Xiong, Xiaoli Ruan
2021	—	`conf`	zk15120170770 at FakeDeS 2021: Fake news detection based on Pre-training Model. IberLEF@SEPLN Kun Zhao, Siyao Zhou, Weihua Li
2020	J	`jnl`	Attentive gated neural networks for identifying chromatin accessibility. Neural Comput. Appl. Yanbu Guo, Dongming Zhou, Weihua Li, Rencan Nie, Ruichao Hou, Chengli Zhou
2020	J	`jnl`	DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction. Neurocomputing Yanbu Guo, Dongming Zhou, Rencan Nie, Xiaoli Ruan, Weihua Li
2019	J	`jnl`	DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction. BMC Bioinform. Yanbu Guo, Weihua Li, Bingyi Wang, Huiqing Liu, Dongming Zhou
2019	J	`jnl`	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 Huiqing Liu, Yanbu Guo, Hongling Li, Weihua Li
2018	J	`jnl`	Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. J. Bioinform. Comput. Biol. Yanbu Guo, Bingyi Wang, Weihua Li, Bei Yang
2017	—	`conf`	A novel method of text representation on hybrid neural networks. CISP-BMEI Yanbu Guo, Chen Jin, Weihua Li, Chen Ji, Yuan Fang, Yunhao Duan
2011	J	`jnl`	Constructing the Bayesian network structure from dependencies implied in multiple relational schemas. Expert Syst. Appl. Wei-Yi Liu, Kun Yue, Weihua Li
2010	—	`conf`	Optimal Decomposition of Limited Memory Influence Diagrams. DBTA Weihua Li, Weiyi Liu, Yuanling Xia
2008	J	`jnl`	Recovering the Global Structure from Multiple Local Bayesian Networks. Int. J. Artif. Intell. Tools Weihua Li, Weiyi Liu, Kun Yue
2007	—	`conf`	Towards Web Services Composition Based on the Mining and Reasoning of Their Causal Relationships. APWeb/WAIM Kun Yue, Weiyi Liu, Weihua Li