Broadcast on Demand: Efficient and Timely Dissemination of Data in Mobile Environments. - Ping Xuan; Subhabrata Sen; Oscar González 002; Jesús Fernández-Conde; Krithi Ramamritham (IEEE Real Time Technology and Applications Symposium, 1997)

The UMASS Intelligent Home Project. - Victor R. Lesser; Michael Atighetchi; Brett Benyo; Bryan Horling; Anita Raja; Régis Vincent; Thomas Wagner 001; Ping Xuan; Xiaoqin Zhang 001 (Agents, 1999)

Incorporating Uncertainty in Agent Commitments. - Ping Xuan; Victor R. Lesser (ATAL, 1999)

Investigating Interactions between Agent Conversations and Agent Control Components. - Thomas Wagner 001; Brett Benyo; Victor R. Lesser; Ping Xuan (Issues in Agent Communication, 2000)

Communication in Multi-Agent Markov Decision Processes. - Ping Xuan; Victor R. Lesser; Shlomo Zilberstein (ICMAS, 2000)

Communication decisions in multi-agent cooperation: model and experiments. - Ping Xuan; Victor R. Lesser; Shlomo Zilberstein (Agents, 2001)

Multi-agent policies: from centralized ones to decentralized ones. - Ping Xuan; Victor R. Lesser (AAMAS, 2002)

Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework. - Victor R. Lesser; Keith Decker; Thomas Wagner 001; Norman Carver; Alan Garvey; Bryan Horling; Daniel E. Neiman; Rodion M. Podorozhny; M. V. Nagendra Prasad; Anita Raja; Régis Vincent; Ping Xuan; et al. (Auton. Agents Multi Agent Syst., 2004)

Modeling plan coordination in multiagent decision processes. - Ping Xuan (AAMAS, 2007)

Managing operations in multiagent virtual organizations. - Shelley Zhang 001; Ping Xuan; Bhumit Patel (AAMAS (2), 2009)

Two-stage clustering based effective sample selection for classification of pre-miRNAs. - Ping Xuan; Maozu Guo 001; Lei-lei Shi; Jun Wang 035; Xiaoyan Liu; Wenbin Li; Yingpeng Han (BIBM, 2010)

DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursors. - Quan Zou 001; Maozu Guo 001; Yang Liu 006; Ping Xuan (Int. J. Bioinform. Res. Appl., 2010)

PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs. - Ping Xuan; Maozu Guo 001; Xiaoyan Liu; Yangchao Huang; Wenbin Li; Yufei Huang 001 (Bioinform., 2011)

Measuring gene functional similarity based on group-wise comparison of GO terms. - Zhixia Teng; Maozu Guo 001; Xiaoyan Liu; Qiguo Dai; Chunyu Wang 002; Ping Xuan (Bioinform., 2013)

Prediction of potential disease-associated microRNAs based on random walk. - Ping Xuan; Ke Han; Yahong Guo; Jin Li 024; Xia Li 004; Yingli Zhong; Zhaogong Zhang; Jian Ding (Bioinform., 2015)

SA-Min: An Efficient Algorithm for Minimizing the Spread of Influence in a Social Network. - Yong Liu 029; Zhe Han; Shengshu Shi; Wei Zhang 106; Ping Xuan (CWSN, 2017)

A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network. - Yingli Zhong; Ping Xuan; Xiao Wang; Tiangang Zhang; Jianzhong Li 001; Yong Liu 029; Weixiong Zhang (Bioinform., 2018)

PRME-GTS: A New Successive POI Recommendation Model with Temporal and Social Influences. - Rubai Mao; Zhe Han; Zitu Liu; Yong Liu 029; Xingfeng Lv; Ping Xuan (ADMA, 2019)

Drug repositioning through integration of prior knowledge and projections of drugs and diseases. - Ping Xuan; Yangkun Cao; Tiangang Zhang; Xiao Wang; Shuxiang Pan; Tonghui Shen (Bioinform., 2019)

Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions. - Tong Wang; Ping Xuan; Zonglin Liu; Tiangang Zhang (BMC Bioinform., 2020)

Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes. - Ping Xuan; Tonghui Shen; Xiao Wang; Tiangang Zhang; Weixiong Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation. - Ying Liu; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi; Ping Xuan (EMBC, 2021)

Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction. - Hui Cui 002; 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 (5), 2021)

Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network. - Yulu Guan; Hui Cui 002; Yiyue Xu; Qiangguo Jin; Tian Feng 001; Huawei Tu; Ping Xuan; Wanlong Li; Linlin Wang; Henry Been-Lirn Duh (MICCAI (5), 2021)

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)

Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. - Ping Xuan; Yu Zhang; Hui Cui 002; Tiangang Zhang; Maozu Guo 001; Toshiya Nakaguchi (Briefings Bioinform., 2021)

Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning. - Ping Xuan; Bingxu Chen; Tiangang Zhang; Yan Yang (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks. - Bochong Li; Ryo Oka; Ping Xuan; Yuichiro Yoshimura; Toshiya Nakaguchi (Algorithms, 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)

ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction. - Kaimiao Hu; Hui Cui 002; Tiangang Zhang; Chang Sun 002; 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)

GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction. - Ping Xuan; Mengsi Fan; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi (Briefings Bioinform., 2022)

Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs. - Ping Xuan; Zhe Gong; Hui Cui 002; Bochong Li; Tiangang Zhang (Briefings Bioinform., 2022)

Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction. - Ping Xuan; Xiangfeng Meng; Ling Gao; Tiangang Zhang; Toshiya Nakaguchi (Briefings Bioinform., 2022)

Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction. - Ping Xuan; Dong Wang; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi (Briefings Bioinform., 2022)

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. - Ping Xuan; Shuai Wang 038; Hui Cui 002; Yue Zhao; Tiangang Zhang; Peiliang Wu (Briefings Bioinform., 2022)

Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction. - Ping Xuan; Meng Wang; Yong Liu; Dong Wang; Tiangang Zhang; Toshiya Nakaguchi (Briefings Bioinform., 2022)

multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction. - Ping Xuan; Xiaowen Zhang; Yu Zhang; Kaimiao Hu; Toshiya Nakaguchi; Tiangang Zhang (Briefings Bioinform., 2022)

Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction. - Hongda Zhang; Hui Cui 002; Tiangang Zhang; Yangkun Cao; Ping Xuan (Briefings Bioinform., 2022)

Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. - Ping Xuan; Bin Jiang; Hui Cui 002; Qiangguo Jin; Peng Cheng; Toshiya Nakaguchi; Tiangang Zhang; Changyang Li; Zhiyu Ning; Menghan Guo; Linlin Wang (Comput. Methods Programs Biomed., 2022)

Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes. - Ping Xuan; Hui Cui 002; Hongda Zhang; Tiangang Zhang; Linlin Wang; Toshiya Nakaguchi; Henry B. L. Duh (Knowl. Based Syst., 2022)

Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures. - Yingying Song; Hui Cui 002; Tiangang Zhang; Tingxiao Yang; Xiaokun Li; Ping Xuan (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions. - Chang Sun 002; Ping Xuan; Tiangang Zhang; Yilin Ye (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction. - Ping Xuan; Kaimiao Hu; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi (IEEE J. Biomed. Health Informatics, 2022)

Graph Triple-Attention Network for Disease-Related LncRNA Prediction. - Ping Xuan; Liyun Zhan; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi; Weixiong Zhang (IEEE J. Biomed. Health Informatics, 2022)

Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. - Qiangguo Jin; Hui Cui 002; Changming Sun; Jiapeng Huang; Ping Xuan; Yiyue Xu; Linlin Wang; Leilei Cao; Leyi Wei; Ran Su (BIBM, 2023)

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. - Qiangguo Jin; Changjiang Zou; Hui Cui 002; Changming Sun; Shu-Wei Huang; Yi-Jie Kuo; Ping Xuan; Leilei Cao; Ran Su; Leyi Wei; Henry B. L. Duh; Yu-Pin Chen (MICCAI (6), 2023)

Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. - Ping Xuan; Yue Zhao; Hui Cui 002; Linyun Zhan; Qiangguo Jin; Tiangang Zhang; Toshiya Nakaguchi (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation. - Ping Xuan; Xixi Wu; Hui Cui 002; Qiangguo Jin; Linlin Wang; Tiangang Zhang; Toshiya Nakaguchi; Henry B. L. Duh (Appl. Soft Comput., 2023)

Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction. - Ping Xuan; Honglei Bai; Hui Cui 002; Xiaowen Zhang; Toshiya Nakaguchi; Tiangang Zhang (Comput. Biol. Medicine, 2023)

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. - Shuai Wang 038; Hui Cui 002; Tiangang Zhang; Peiliang Wu; Toshiya Nakaguchi; Ping Xuan (J. Chem. Inf. Model., 2023)

TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes. - Ran Su; Rui Shi; Hui Cui 002; Ping Xuan; Chengyan Fang; Xikang Feng; Qiangguo Jin (BIBM, 2024)

MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction. - Ran Su; Jin Xiao; Hui Cui 002; Ping Xuan; Xikang Feng; Leyi Wei; Qiangguo Jin (BIBM, 2024)

Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. - Qiangguo Jin; Jiapeng Huang; Changming Sun; Hui Cui 002; Ping Xuan; Ran Su; Leyi Wei; Yu-Jie Wu; Chia-An Wu; Henry B. L. Duh; Yueh-Hsun Lu (MICCAI (11), 2024)

A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. - Jianqiao Zhang 003; Hao Xiong 001; Qiangguo Jin; Tian Feng 001; Jiquan Ma; Ping Xuan; Peng Cheng; Zhiyuan Ning; Zhiyu Ning; Changyang Li; Linlin Wang; Hui Cui 002 (MICCAI (5), 2024)

Evolving graph convolutional network with transformer for CT segmentation. - Hui Cui 002; Qiangguo Jin; Xixi Wu; Linlin Wang; Tiangang Zhang; Toshiya Nakaguchi; Ping Xuan; David Dagan Feng (Appl. Soft Comput., 2024)

Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. - Ping Xuan; Xiuqiang Chu; Hui Cui 002; Toshiya Nakaguchi; Linlin Wang; Zhiyuan Ning; Zhiyu Ning; Changyang Li; Tiangang Zhang (Comput. Biol. Medicine, 2024)

Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations. - Ping Xuan; Chunhong Guan; Sentao Chen; Jing Gu; Xiuju Wang; Toshiya Nakaguchi; Tiangang Zhang (J. Chem. Inf. Model., 2024)

Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. - Ping Xuan; Siyuan Lu; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Tiangang Zhang (J. Chem. Inf. Model., 2024)

Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction. - Ping Xuan; Wei Wang; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Tiangang Zhang (J. Chem. Inf. Model., 2024)

Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. - Ping Xuan; Jing Gu; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Cheng Liu; Tiangang Zhang (Bioinform., 2024)

Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction. - Ping Xuan; Xiuju Wang; Hui Cui 002; Xiangfeng Meng; Toshiya Nakaguchi; Tiangang Zhang (IEEE J. Biomed. Health Informatics, 2024)

Interactive multi-hypergraph inferring and channel-enhanced and attribute-enhanced learning for drug-related side effect prediction. - Ping Xuan; Shien Wu; Hui Cui 002; Peiru Li; Toshiya Nakaguchi; Tiangang Zhang (Comput. Biol. Medicine, 2025)

PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network. - Qiangguo Jin; Ankang Wu; Leyi Wei; Hui Cui 002; Ping Xuan; Xikang Feng; Ran Su (Eng. Appl. Artif. Intell., 2025)

KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction. - Dongliang Chen; Tiangang Zhang; Hui Cui 002; Jing Gu; Ping Xuan (J. Chem. Inf. Model., 2025)

Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction. - Jing Gu; Tiangang Zhang; Yihang Gao; Sentao Chen; Yuxin Zhang; Hui Cui 002; Ping Xuan (J. Chem. Inf. Model., 2025)

Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects. - Ping Xuan; Tianhong Cheng; Hui Cui 002; Jing Gu; Qiangguo Jin; Tiangang Zhang (J. Chem. Inf. Model., 2025)

Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs. - Ping Xuan; Xiaoying Qi; Sentao Chen; Jing Gu; Xiuju Wang; Hui Cui 002; Jun Lu; Tiangang Zhang (J. Chem. Inf. Model., 2025)

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. - Qiangguo Jin; Hui Cui 002; Junbo Wang; Changming Sun; Yimiao He; Ping Xuan; Linlin Wang; Cong Cong; Leyi Wei; Ran Su (Knowl. Based Syst., 2025)