卫金茂｜南开大学｜学者主页

期刊论文

2026

A unified framework combining linear and 3D molecular features for robust drug-protein interaction prediction

Chang Sun, Zichen Qin, Ming-Lei Li, Yanfei Li, Rong Tang, Shengquan Chen, Yuxiang Wang, Yanqiang Liu, Jinmao Wei, Jian Liu

Cell Reports Methods

DOI

2025

Dual-Regularized Feature Selection for Class-Specific and Global Feature Associations

Chenchen Wang, Jun Wang, Yanfei Li, Chengkai Piao, Jinmao Wei

Entropy

DOI

2025

Multi-scale Graph Regularized Deep Learning for Accurate Drug-Protein Interaction Prediction

Yanfei Li, Chenchen Wang, Chang Sun, Jinmao Wei

International Conference on Intelligent Computing

DOI

2025

Accurate prediction of drug-protein interactions by maintaining the original topological relationships among embeddings

Yanfei Li, Xi-Ran Chen, Shuqin Wang, Jinmao Wei

BMC Biology

DOI

2025

Predicting Drug-Protein Interactions Based on Similarity Reconstruction and Adaptive Combination Algorithm

Yanfei Li, Renhong Cheng, Jinmao Wei

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2024

Fitting and sharing multi-task learning

Chengkai Piao, Jinmao Wei

Applied intelligence (Boston)

DOI

2024

Structure-inclusive similarity based directed GNN: a method that can control information flow to predict drug–target binding affinity

Jipeng Huang, Chang Yin Sun, Minglei Li, Rong Tang, Bin Xie, Shuqin Wang, Jinmao Wei

Bioinformatics

DOI

2023

Dynamic Feed-Forward LSTM

Chengkai Piao, Yuchen Wang, Jinmao Wei

Knowledge Science, Engineering and Management

DOI

2022

Multi-variable AUC for sifting complementary features and its biomedical application

Yue Su, Keyu Du, Jun Wang, Jinmao Wei, Jian Liu

Briefings in Bioinformatics

DOI

2020

To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer

Yuanyuan Xu, Jun Wang, Jinmao Wei

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2018

Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency

Yuanyuan Xu, Jun Wang, Shuai An, Jinmao Wei, Jianhua Ruan

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2018

An integrative approach to transcriptional co-regulatory network construction and characterization in Arabidopsis

Maryam Zand, Zhen Gao, Jinmao Wei, Garry Sunter, Jianhua Ruan

IEEE International Conference on Computational Advances in Bio and Medical Sciences

DOI

2017

基于保留分类信息的多任务特征学习算法

王珺，卫金茂，张璐

《计算机研究与发展》

2017

Unsupervised Feature Selection with Joint Clustering Analysis

Shuai An, Jun Wang, Jinmao Wei, Zhenglu Yang

DOI

2017

Discrimination Structure Complementarity‐Based Feature Selection

Shuqin Wang, Jinmao Wei, Zhenglu Yang

Computational Intelligence

DOI

2016

Supervised Feature Selection by Preserving Class Correlation

Jun Wang, Jinmao Wei, Zhenglu Yang

DOI

2010

GO术语间语义相似性度量方法

刘丹，卫金茂，张杰

《东北师大学报(自然科学版)》

2010

An efficient gene selection technique for cancer recognition based on neighborhood mutual information

Qinghua Hu, Wei Pan, Shuang An, Peijun Ma, Jinmao Wei

International Journal of Machine Learning and Cybernetics

DOI

2008

基于BFS树的XML文档图结构相似性计算

张杰，卫金茂，刘丹

《计算机工程与设计》

2008

A Novel Rough Hypercuboid Method for Classifying Cancers Based on Gene Expression Profiles

Jinmao Wei, Xinbin Yang, Shuqin Wang, Li Gu

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

DOI

2007

一种基于XML的信息搜索技术

尹鹏，卫金茂，郑伟

《计算机工程与科学》

2007

基于粗集理论的决策树剪枝

由军平，卫金茂，王名扬

《计算机工程与科学》

2006

关联规则挖掘方法的改进

伊卫国，卫金茂，王名扬

《东北师大学报(自然科学版)》

2005

支持向量机及其在癌症诊断中的应用

王晶，卫金茂，由军平

《计算机工程与应用》

2005

基于RST的决策树生成与剪枝方法

王名扬，卫金茂，伊卫国

《计算机工程与科学》

2005

挖掘有效的关联规则

伊卫国，卫金茂，王名扬

《计算机工程与科学》

2005

变精度粗集模型在决策树生成过程中的应用

王名扬，卫金茂，伊卫国

《计算机工程与科学》

2005

基于粗集理论的新决策树剪枝方法

王名扬，卫金茂，伊卫国

《东北师大学报(自然科学版)》

2004

增量关联规则的向量法挖掘

伊卫国，卫金茂，王名扬

《计算机工程与应用》

2004

基于数据库划分的高效关联规则挖掘算法研究

伊卫国，卫金茂，王名扬，王兴通

《东北师大学报(自然科学版)》

2003

基于XML的数据挖掘

卫金茂，王石，伊卫国

《计算机工程与设计》

2000

粗糙集理论中新的知识发现方法

卫金茂，黄道

《华东理工大学学报(自然科学版)》

2000

知识发现中缺损数据的处理(II)

卫金茂，黄道

《华东理工大学学报(自然科学版)》

1997

系统辨识的神经网络实现

卫金茂，王淑琴，汪大伟

《东北师大学报(自然科学版)》

会议论文

2004

变精度粗集模型在电厂故障诊断中的应用

王名扬，于达仁，卫金茂

《2004电站自动化信息化学术技术交流会议论文集》

卫金茂

精选作品

期刊论文

A unified framework combining linear and 3D molecular features for robust drug-protein interaction prediction

Dual-Regularized Feature Selection for Class-Specific and Global Feature Associations

Multi-scale Graph Regularized Deep Learning for Accurate Drug-Protein Interaction Prediction

Accurate prediction of drug-protein interactions by maintaining the original topological relationships among embeddings

Predicting Drug-Protein Interactions Based on Similarity Reconstruction and Adaptive Combination Algorithm

Fitting and sharing multi-task learning

Structure-inclusive similarity based directed GNN: a method that can control information flow to predict drug–target binding affinity

Dynamic Feed-Forward LSTM

Multi-variable AUC for sifting complementary features and its biomedical application

To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer

Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency

An integrative approach to transcriptional co-regulatory network construction and characterization in Arabidopsis

基于保留分类信息的多任务特征学习算法

Unsupervised Feature Selection with Joint Clustering Analysis

Discrimination Structure Complementarity‐Based Feature Selection

Supervised Feature Selection by Preserving Class Correlation

GO术语间语义相似性度量方法

An efficient gene selection technique for cancer recognition based on neighborhood mutual information

基于BFS树的XML文档图结构相似性计算

A Novel Rough Hypercuboid Method for Classifying Cancers Based on Gene Expression Profiles

一种基于XML的信息搜索技术

基于粗集理论的决策树剪枝

关联规则挖掘方法的改进

支持向量机及其在癌症诊断中的应用

基于RST的决策树生成与剪枝方法

挖掘有效的关联规则

变精度粗集模型在决策树生成过程中的应用

基于粗集理论的新决策树剪枝方法

增量关联规则的向量法挖掘

基于数据库划分的高效关联规则挖掘算法研究

基于XML的数据挖掘

粗糙集理论中新的知识发现方法

知识发现中缺损数据的处理(II)

系统辨识的神经网络实现

会议论文

变精度粗集模型在电厂故障诊断中的应用

研究方向