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Viewing Publication 1 - 54 from 54

2024

Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAsPing Xuan, Siyuan Lu, Hui Cui 0002, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang. jcisd, 64(8):3569-3578, 2024. [doi]

Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbesPing Xuan, Jing Gu, Hui Cui 0002, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang. bioinformatics, 40(2), February 2024. [doi]

2023

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical InformationQiangguo Jin, Changjiang Zou, Hui Cui 0002, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B.-L. Duh, Yu-Pin Chen. miccai 2023: 85-94 [doi]

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease AssociationsShuai Wang, Hui Cui 0002, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan. jcisd, 63(21):6947-6958, November 2023. [doi]

Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentationPing Xuan, Xixi Wu, Hui Cui 0002, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B.-L. Duh. asc, 133:109905, January 2023. [doi]

Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association predictionPing Xuan, Honglei Bai, Hui Cui 0002, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang. cbm, 164:107265, September 2023. [doi]

Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association PredictionPing Xuan, Yue Zhao, Hui Cui 0002, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi. tcbb, 20(2):1480-1491, March - April 2023. [doi]

2022

Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnetsLing Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan. bib, 23(1), 2022. [doi]

ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction predictionKaimiao Hu, Hui Cui, Tiangang Zhang, Chang Sun, Ping Xuan. bib, 23(2), 2022. [doi]

Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural NetworksBochong Li, Ryo Oka, Ping Xuan, Yuichiro Yoshimura, Toshiya Nakaguchi. algorithms, 15(7):248, 2022. [doi]

Multi-channel graph attention autoencoders for disease-related lncRNAs predictionNan Sheng, Lan Huang 0002, Yan Wang, Jing Zhao, Ping Xuan, Ling Gao, Yangkun Cao. bib, 23(2), 2022. [doi]

Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological StructuresYingying Song, Hui Cui 0002, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan. tcbb, 19(5):2963-2974, 2022. [doi]

Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target InteractionsChang Sun, Ping Xuan, Tiangang Zhang, Yilin Ye. tcbb, 19(1):455-464, 2022. [doi]

Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural NetworkXiaoqiang Xu, Ping Xuan, Tiangang Zhang, Bingxu Chen, Nan Sheng. tcbb, 19(4):2294-2304, 2022. [doi]

Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAsPing Xuan, Zhe Gong, Hui Cui 0002, Bochong Li, Tiangang Zhang. bib, 23(3), 2022. [doi]

GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction predictionPing Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi. bib, 23(1), 2022. [doi]

Graph Triple-Attention Network for Disease-Related LncRNA PredictionPing Xuan, Liyun Zhan, Hui Cui 0002, Tiangang Zhang, Toshiya Nakaguchi, Weixiong Zhang. titb, 26(6):2839-2849, 2022. [doi]

Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction PredictionPing Xuan, Kaimiao Hu, Hui Cui 0002, Tiangang Zhang, Toshiya Nakaguchi. titb, 26(4):1891-1902, 2022. [doi]

Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumesPing Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry B.-L. Duh. kbs, 236:107360, 2022. [doi]

Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentationPing Xuan, Bin Jiang, Hui Cui 0002, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, ChangYang Li, Zhiyu Ning, Menghan Guo, Linlin Wang. cmpb, 226:107147, 2022. [doi]

Heterogeneous multi-scale neighbor topologies enhanced drug-disease association predictionPing Xuan, XiangFeng Meng, Ling Gao, Tiangang Zhang, Toshiya Nakaguchi. bib, 23(3), 2022. [doi]

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAsPing Xuan, Shuai Wang, Hui Cui 0002, Yue Zhao, Tiangang Zhang, Peiliang Wu. bib, 23(5), 2022. [doi]

Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association predictionPing Xuan, Dong Wang, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi. bib, 23(1), 2022. [doi]

multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction predictionPing Xuan, Xiaowen Zhang, Yu Zhang, Kaimiao Hu, Toshiya Nakaguchi, Tiangang Zhang. bib, 23(5), 2022. [doi]

Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect predictionPing Xuan, Meng Wang, Yong Liu, Dong Wang, Tiangang Zhang, Toshiya Nakaguchi. bib, 23(3), 2022. [doi]

Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association predictionHongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan. bib, 23(2), 2022. [doi]

2021

Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis PredictionHui Cui, Ping Xuan, Qiangguo Jin, Mingjun Ding, Butuo Li, Bing Zou, Yiyue Xu, Bingjie Fan, Wanlong Li, Jinming Yu, Linlin Wang, Henry B.-L. Duh. miccai 2021: 657-666 [doi]

Predicting Esophageal Fistula Risks Using a Multimodal Self-attention NetworkYulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh. miccai 2021: 721-730 [doi]

Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor SegmentationYing Liu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan. embc 2021: 3078-3081 [doi]

Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association predictionNan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan. bib, 22(3), 2021. [doi]

Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble LearningPing Xuan, Bingxu Chen, Tiangang Zhang, Yan Yang. tcbb, 18(6):2671-2681, 2021. [doi]

Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease AssociationsPing Xuan, Ling Gao, Nan Sheng, Tiangang Zhang, Toshiya Nakaguchi. titb, 25(5):1793-1804, 2021. [doi]

Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction predictionPing Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo 0001, Toshiya Nakaguchi. bib, 22(5), 2021. [doi]

2020

Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentionsTong Wang, Ping Xuan, Zonglin Liu, Tiangang Zhang. bmcbi, 21(1):230, 2020. [doi]

Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node AttributesPing Xuan, Tonghui Shen, Xiao Wang, Tiangang Zhang, Weixiong Zhang. tcbb, 17(3):1019-1031, 2020. [doi]

2019

PRME-GTS: A New Successive POI Recommendation Model with Temporal and Social InfluencesRubai Mao, Zhe Han, Zitu Liu, Yong Liu, Xingfeng Lv, Ping Xuan. adma 2019: 266-274 [doi]

Drug repositioning through integration of prior knowledge and projections of drugs and diseasesPing Xuan, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen. bioinformatics, 35(20):4108-4119, 2019. [doi]

2018

A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer networkYingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang. bioinformatics, 34(2):267-277, 2018. [doi]

2017

SA-Min: An Efficient Algorithm for Minimizing the Spread of Influence in a Social NetworkYong Liu, Zhe Han, Shengshu Shi, Wei Zhang, Ping Xuan. cwsn 2018: 333-343 [doi]

2015

Prediction of potential disease-associated microRNAs based on random walkPing Xuan, Ke Han, Yahong Guo, Jin Li, Xia Li, Yingli Zhong, Zhaogong Zhang, Jian Ding. bioinformatics, 31(11):1805-1815, 2015. [doi]

2013

Measuring gene functional similarity based on group-wise comparison of GO termsZhixia Teng, Maozu Guo, Xiaoyan Liu, Qiguo Dai, Chun-yu Wang, Ping Xuan. bioinformatics, 29(11):1424-1432, 2013. [doi]

2011

::::PlantMiRNAPred::::: efficient classification of real and pseudo plant pre-miRNAsPing Xuan, Maozu Guo, Xiaoyan Liu, Yangchao Huang, Wenbin Li, Yufei Huang. bioinformatics, 27(10):1368-1376, 2011. [doi]

2010

Two-stage clustering based effective sample selection for classification of pre-miRNAsPing Xuan, Maozu Guo, Lei Lei Shi, Jun Wang, Xiaoyan Liu, Wenbin Li, Yingpeng Han. bibm 2010: 549-552 [doi]

DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursorsQuan Zou, Maozu Guo, Yang Liu, Ping Xuan. ijbra, 6(1):69-81, 2010. [doi]

2009

Managing operations in multiagent virtual organizationsShelley Zhang, Ping Xuan, Bhumit Patel. atal 2009: 1309-1310 [doi]

2007

Modeling plan coordination in multiagent decision processesPing Xuan. atal 2007: 225 [doi]

2004

Evolution of the GPGP/TÆMS Domain-Independent Coordination FrameworkVictor R. Lesser, Keith Decker, Thomas Wagner, Norman Carver, Alan Garvey, Bryan Horling, Daniel E. Neiman, Rodion M. Podorozhny, M. V. Nagendra Prasad, Anita Raja, Régis Vincent, Ping Xuan, Xiaoqin Zhang. AAMAS, 9(1-2):87-143, 2004. [doi]

2002

Multi-agent policies: from centralized ones to decentralized onesPing Xuan, Victor R. Lesser. atal 2002: 1098-1105 [doi]

2001

Communication decisions in multi-agent cooperation: model and experimentsPing Xuan, Victor R. Lesser, Shlomo Zilberstein. agents 2001: 616-623 [doi]

2000

Investigating Interactions between Agent Conversations and Agent Control ComponentsThomas Wagner, Brett Benyo, Victor R. Lesser, Ping Xuan. agentCL 2000: 314-330

Communication in Multi-Agent Markov Decision ProcessesPing Xuan, Victor R. Lesser, Shlomo Zilberstein. icmas 2000: 467-468 [doi]

1999

The UMASS Intelligent Home ProjectVictor R. Lesser, Michael Atighetchi, Brett Benyo, Bryan Horling, Anita Raja, Régis Vincent, Thomas Wagner, Ping Xuan, Xiaoqin Zhang. agents 1999: 291-298 [doi]

Incorporating Uncertainty in Agent CommitmentsPing Xuan, Victor R. Lesser. atal 2000: 57-70

1997

Broadcast on Demand: Efficient and Timely Dissemination of Data in Mobile EnvironmentsPing Xuan, Subhabrata Sen, Oscar González, Jesus Fernandez, Krithi Ramamritham. rtas 1997: 38-48 [doi]

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