Downlink Performance of Indoor Distributed Antenna Systems Based on Wideband MIMO Measurement at 5.25 GHz. - Nan Sheng; Jianhua Zhang 001; Fenghua Zhang; Lei Tian 004 (VTC Fall, 2011)

Capacity Analysis of Intra-Site Coordinated Multi-Points (CoMP) Scheme Based on a Measurement at 2.35 GHz. - Fenghua Zhang; Jianhua Zhang 001; Chengxiang Huang; Nan Sheng; Lei Tian 004 (VTC Spring, 2011)

Analysis and modeling of spatial characteristics in urban microscenario of heterogeneous network. - Jianhua Zhang 001; Nan Sheng; Fenghua Zhang; Lei Tian 004; Guangyi Liu 001; Weihui Dong; Ping Zhang 003; Chia-Chin Chong (EURASIP J. Wirel. Commun. Netw., 2011)

Advanced International Communications. - Jianhua Zhang 001; Guangyi Liu 001; Fenghua Zhang; Lei Tian 004; Nan Sheng; Ping Zhang 003 (IEEE Veh. Technol. Mag., 2011)

Power coverage and multipath diversity for indoor distributed antenna system based on wideband channel measurement at 6 GHz. - Liang Xin; Jianhua Zhang 001; Fei Xiong; Yanliang Sun; Nan Sheng (WPMC, 2012)

Dynamic 3D Reconstruction of Tongue Surface Based on Photometric Stereo Technique. - Yiheng Cai; Linlin Zhang; Nan Sheng; Lina Wang; Xinfeng Zhang 002 (ICIRA (1), 2015)

3D facial expression recognition using distance features and LBP features based on automatically detected keypoints. - Nan Sheng; Yiheng Cai; Changfei Zhan; Changyan Qiu; Yize Cui; Xurong Gao (CISP-BMEI, 2016)

Saliency based Wireless Capsule Endoscopy video abstract. - Changfei Zhan; Yiheng Cai; Nan Sheng; Changyan Qiu; Yize Cui; Xurong Gao (CISP-BMEI, 2016)

Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction. - Nan Sheng; Hui Cui 002; Tiangang Zhang; Ping Xuan (Briefings Bioinform., 2021)

Enhancing light olefins and aromatics production from naphthenic-based vacuum gas oil: Process integration, techno-economic analysis and life cycle environmental assessment. - Xin Zhou; Mingyue Zhao; Nan Sheng; Lei Tang; Xiang Feng; Hui Zhao; Yibin Liu; Xiaobo Chen; Hao Yan; Chaohe Yang (Comput. Chem. Eng., 2021)

Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations. - Ping Xuan; Ling Gao; Nan Sheng; Tiangang Zhang; Toshiya Nakaguchi (IEEE J. Biomed. Health Informatics, 2021)

RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker. - Yuting Lu; Yan Wang 028; Nan Sheng; Hao Wang; Yuan Fu; Yuan Tian 016 (BIBM, 2022)

Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets. - Ling Gao; Hui Cui 002; Tiangang Zhang; Nan Sheng; Ping Xuan (Briefings Bioinform., 2022)

Multi-channel graph attention autoencoders for disease-related lncRNAs prediction. - Nan Sheng; Lan Huang 002; Yan Wang 028; Jing Zhao; Ping Xuan; Ling Gao; Yangkun Cao (Briefings Bioinform., 2022)

MMGraph: a multiple motif predictor based on graph neural network and coexisting probability for ATAC-seq data. - Shuangquan Zhang; Lili Yang 004; Xiaotian Wu; Nan Sheng; Yuan Fu; Anjun Ma; Yan Wang 028 (Bioinform., 2022)

Partial Residuated Implications Derived from Partial Triangular Norms and Partial Residuated Lattices. - Xiaohong Zhang 001; Nan Sheng; Rajab Ali Borzooei (CoRR, 2022)

Quantum embedding theories to simulate condensed systems on quantum computers. - Christian Vorwerk; Nan Sheng; Marco Govoni; Benchen Huang; Giulia Galli (Nat. Comput. Sci., 2022)

Q-residuated lattices and lattice pseudoeffect algebras. - Xiaohong Zhang 001; Mei Wang; Nan Sheng (Soft Comput., 2022)

Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network. - Xiaoqiang Xu; Ping Xuan; Tiangang Zhang; Bingxu Chen; Nan Sheng (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases. - Nan Sheng; Lan Huang 002; Yan Wang 028; Ling Gao; Huiyan Sun; Xuping Xie (BIBM, 2023)

TSC-Net: Theme-Style-Color Guided Artistic Image Aesthetics Assessment Network. - Yin Wang; Wenjing Cao; Nan Sheng; Huiying Shi; Congwei Guo; Yongzhen Ke (CGI (1), 2023)

Research on intelligent elderly care service information system based on machine learning. - Qi Chen; Nan Sheng (IoTAAI, 2023)

Too much overload and concerns: Antecedents of social media fatigue and the mediating role of emotional exhaustion. - Nan Sheng; Chunjiang Yang; Lei Han; Min Jou (Comput. Hum. Behav., 2023)

A three-stage GAN model based on edge and color prediction for image outpainting. - Gang Wei; Jing Guo; Yongzhen Ke; Kai Wang 065; Shuai Yang; Nan Sheng (Expert Syst. Appl., 2023)

A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction. - Nan Sheng; Lan Huang 002; Ling Gao; Yangkun Cao; Xuping Xie; Yan Wang 028 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Partial Residuated Implications Induced by Partial Triangular Norms and Partial Residuated Lattices. - Xiaohong Zhang 001; Nan Sheng; Rajab Ali Borzooei (Axioms, 2023)

Data resources and computational methods for lncRNA-disease association prediction. - Nan Sheng; Lan Huang 002; Yuting Lu; Hao Wang; Lili Yang 004; Ling Gao; Xuping Xie; Yuan Fu; Yan Wang 028 (Comput. Biol. Medicine, 2023)

Subject-aware image outpainting. - Yongzhen Ke; Nan Sheng; Gang Wei; Kai Wang 065; Fan Qin 001; Jing Guo (Signal Image Video Process., 2023)

Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases. - Nan Sheng; Yan Wang 028; Lan Huang 002; Ling Gao; Yangkun Cao; Xuping Xie; Yuan Fu (Briefings Bioinform., 2023)

Predicting miRNA-disease associations based on PPMI and attention network. - Xuping Xie; Yan Wang 028; Kai He; Nan Sheng (BMC Bioinform., 2023)

X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction. - Yangkun Cao; Jun Xiao; Nan Sheng; Yinwei Qu; Zhihang Wang; Chang Sun 002; Xuechen Mu; Zhenyu Huang; Xuan Li (Comput. Biol. Medicine, 2023)

Design of artificial intelligence auxiliary system for elderly care service based on big data analysis. - Qi Chen; Nan Sheng (BIC, 2024)

Incipient fault detection with probability transformation and statistical feature analysis. - Hongquan Ji; Wenqing Zhao; Nan Sheng (Autom., 2024)

A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer. - Lan Huang 002; Xin-Fei Wang; Yan Wang 028; Ren-Chu Guan; Nan Sheng; Xuping Xie; Lei Wang 121; Ziqi Zhao (Briefings Bioinform., 2024)

Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks. - Xin-Fei Wang; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Wenju Hou (Briefings Bioinform., 2024)

A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers. - Xin-Fei Wang; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Qixing Yang (Briefings Bioinform., 2024)

Solving high-dimensional Hamilton-Jacobi-Bellman equation with functional hierarchical tensor. - Xun Tang; Nan Sheng; Lexing Ying (CoRR, 2024)

PGCL: Prompt guidance and self-supervised contrastive learning-based method for Visual Question Answering. - Ling Gao; Hongda Zhang; Yiming Liu; Nan Sheng; Haotian Feng; Hao Xu 012 (Expert Syst. Appl., 2024)

A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions. - Nan Sheng; Xuping Xie; Yan Wang 028; Lan Huang 002; Shuangquan Zhang; Ling Gao; Hao Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering. - Ling Gao; Hongda Zhang; Nan Sheng; Lida Shi; Hao Xu 012 (Expert Syst. Appl., 2024)

View adjustment: helping users improve photographic composition. - Nan Sheng; Yongzhen Ke; Shuai Yang; Yong Yang; Liming Chen (Multim. Syst., 2024)

Graph pooling in graph neural networks: methods and their applications in omics studies. - Yan Wang 028; Wenju Hou; Nan Sheng; Ziqi Zhao; Jialin Liu; Lan Huang 002; Juexin Wang (Artif. Intell. Rev., 2024)

MMGAT: a graph attention network framework for ATAC-seq motifs finding. - Xiaotian Wu; Wenju Hou; Ziqi Zhao; Lan Huang 002; Nan Sheng; Qixing Yang; Shuangquan Zhang; Yan Wang 028 (BMC Bioinform., 2024)

HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set. - Jie Hong; Wenju Hou; Nan Sheng; Chunman Zuo; Yan Wang 028 (Expert Syst. Appl., 2025)

Supervised contrastive knowledge graph learning for ncRNA-disease association prediction. - Yan Wang 028; Xuping Xie; Ye Wang; Nan Sheng; Lan Huang 002; Chunman Zuo (Expert Syst. Appl., 2025)

Optimizing photographic composition with deep reinforcement learning. - Nan Sheng; Shuai Yang; Huaning Liu; Kai Wang 065; Yongzhen Ke; Fan Qin 001 (Neurocomputing, 2025)

TCIP: Network with topology capture and incongruity perception for sarcasm detection. - Ling Gao; Nan Sheng; Yiming Liu; Hao Xu 012 (Inf. Fusion, 2025)

PCG-CAM: Enhanced class activation map using principal components of gradients and its applications in brain MRI. - Lan Huang 002; Yangguang Shao; Wenju Hou; Hui Yang; Yan Wang 028; Nan Sheng; Yinglu Sun; Yao Wang 010 (Inf. Sci., 2025)

Deep-Learning-Based Integration of Sequence and Structure Information for Efficiently Predicting miRNA-Drug Associations. - Nan Sheng; Yunzhi Liu; Ling Gao; Lei Wang 121; Chenxu Si; Lan Huang 002; Yan Wang 028 (J. Chem. Inf. Model., 2025)

Approximation of High-Dimensional Gibbs Distributions with Functional Hierarchical Tensors. - Nan Sheng; Xun Tang; Haoxuan Chen; Lexing Ying (CoRR, 2025)

Self-Supervised Contrastive Learning on Attribute and Topology Graphs for Predicting Relationships Among lncRNAs, miRNAs and Diseases. - Lan Huang 002; Nan Sheng; Ling Gao; Lei Wang 121; Wenju Hou; Jie Hong; Yan Wang 028 (IEEE J. Biomed. Health Informatics, 2025)