An experimental RF noise cancellation analysis for cable access systems. - Jim Chen; Guangsheng Wu; Xiaoshu Si; David F. Hunter; Wensheng Pan; Ying Shen; Shihai Shao (IEEE Commun. Mag., 2015)

Semi-supervised graph cut algorithm for drug repositioning by integrating drug, disease and genomic associations. - Guangsheng Wu; Juan Liu 007; Caihua Wang (BIBM, 2016)

Prediction of drug-disease treatment relations based on positive and unlabeled samples. - Guangsheng Wu; Juan Liu 007; Wenwen Min (J. Intell. Fuzzy Syst., 2018)

Predicting Drug-Disease Treatment Associations Based on Topological Similarity and Singular Value Decomposition. - Guangsheng Wu; Juan Liu 007 (BIBM, 2019)

Extrapolation Techniques for Neural-based Nonlinear Electronic Modeling and Circuit Simulation. - Qijun Zhang; Weicong Na; Ming Li; Qing Ding; Guangsheng Wu (ICSAI, 2019)

Knowledge-based Neural Models for Modelling High-Frequency Electronics Circuits. - Qijun Zhang; Weicong Na; Ming Li; Yonghai Lan; Qing Ding; Guangsheng Wu (ICSAI, 2019)

Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. - Guangsheng Wu; Juan Liu 007; Xiang Yue (BMC Bioinform., 2019)

Cubature Kalman Filtering Fusing Expectationmaximization Method for Attitude Determination Applied to Underwater Glider. - Haoqian Huang; Guangsheng Wu; Jiacheng Tang (ISIE, 2020)

Application Research of security policy in the Linux operating system. - Chunlin Jiang; Shi-lan Wu; Guangsheng Wu; Chunrong Yang; Lin Cai; Fulian Zhong (RICAI, 2022)

Predicting potential miRNA-disease associations based on more reliable negative sample selection. - Ruiyu Guo; Hailin Chen; Wengang Wang; Guangsheng Wu; Fangliang Lv (BMC Bioinform., 2022)

BiGRU-DA: Based on Improved BiGRU Multi-Target Data Association Method. - Guangsheng Wu; Licai Wang; Xun Hu; Qibin Luo; Dongliang Guo (ICCCS, 2023)

Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. - Yuqi Chen 007; Juan Liu 007; Zhiqun Zuo; Peng Jiang; Yu Jin; Guangsheng Wu (ICASSP, 2023)

Machine Learning Model-Based Retrieval of Temperature and Relative Humidity Profiles Measured by Microwave Radiometer. - Yuyan Luo; Hao Wu 101; Taofeng Gu; Zhenglin Wang; Haiyan Yue; Guangsheng Wu; Langfeng Zhu; Dongyang Pu; Pei Tang; Mengjiao Jiang (Remote. Sens., 2023)

A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction. - Junwei Hu; Michael Bewong; Selasi Kwashie; Wen Zhang; Vincent Mwintieru Nofong; Guangsheng Wu; Zaiwen Feng (BIBM, 2024)

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. - Wenwen Min; Zhen Wang; Fangfang Zhu; Taosheng Xu; Guangsheng Wu; Shunfang Wang (BIBM, 2024)

Subgraph-based Self-Supervised Learning Framework for Enzymatic Reaction Feasibility Prediction. - Feng Yang; Juan Liu 007; Qiang Zhang 031; Zhihui Yang; Jianghang Liu; Guangsheng Wu (BIBM, 2024)

Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity. - Wendong Huang; Yaofeng Hu; Lequn Wang; Guangsheng Wu; Chuanchao Zhang; Qianqian Shi (Briefings Bioinform., 2024)

DeepCatl: A Combination of Channel Attention Mechanism and Transformer Encoding to Predict Transcription Factor Binding Sites. - Wei Wang; Ziwei Zheng; Guangsheng Wu; Xianfang Wang (ICIC (26), 2025)

Improving Visual Question Answering by Image Captioning. - Xiangjun Shao; Hongsong Dong; Guangsheng Wu (IEEE Access, 2025)

Image Classification with Regularized Likelihood Estimation and Large Interval Discriminant Dimensionality Reduction. - Ying Shen; Wei-hua Zhu; Si-Yong Fu; Guangsheng Wu (J. Inf. Sci. Eng., 2025)