Ping Xuan

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 44

Top Topics

Convolutional Neural Network

Tumor Segmentation

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

IEEE J. Biomed. Health Informatics

Publications

Hui Cui, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, David Dagan Feng
Evolving graph convolutional network with transformer for CT segmentation. Appl. Soft Comput. 165 (2024)
Ping Xuan, Xiuju Wang, Hui Cui, Xiangfeng Meng, Toshiya Nakaguchi, Tiangang Zhang
Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. J. Chem. Inf. Model. 64 (8) (2024)
Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. CoRR (2024)
Ping Xuan, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Tiangang Zhang
Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. Comput. Biol. Medicine 177 (2024)
Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinform. 40 (2) (2024)
Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi
Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B. L. Duh, Yu-Pin Chen
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. MICCAI (6) (2023)
Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. J. Chem. Inf. Model. 63 (21) (2023)
Ping Xuan, Xixi Wu, Hui Cui, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B. L. Duh
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation. Appl. Soft Comput. 133 (2023)
Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. BIBM (2023)
Ping Xuan, Honglei Bai, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang
Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction. Comput. Biol. Medicine 164 (2023)
Bochong Li, Ryo Oka, Ping Xuan, Yuichiro Yoshimura, Toshiya Nakaguchi
Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks. Algorithms 15 (7) (2022)
Ping Xuan, Liyun Zhan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Weixiong Zhang
Graph Triple-Attention Network for Disease-Related LncRNA Prediction. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Ping Xuan, Kaimiao Hu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. Briefings Bioinform. 23 (5) (2022)
Xiaoqiang Xu, Ping Xuan, Tiangang Zhang, Bingxu Chen, Nan Sheng
Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Ling Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets. Briefings Bioinform. 23 (1) (2022)
Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction. Briefings Bioinform. 23 (2) (2022)
Ping Xuan, Zhe Gong, Hui Cui, Bochong Li, Tiangang Zhang
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs. Briefings Bioinform. 23 (3) (2022)
Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. Comput. Methods Programs Biomed. 226 (2022)
Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry B. L. Duh
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes. Knowl. Based Syst. 236 (2022)
Ping Xuan, Xiaowen Zhang, Yu Zhang, Kaimiao Hu, Toshiya Nakaguchi, Tiangang Zhang
multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction. Briefings Bioinform. 23 (5) (2022)
Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan
Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Nan Sheng, Lan Huang, Yan Wang, Jing Zhao, Ping Xuan, Ling Gao, Yangkun Cao
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction. Briefings Bioinform. 23 (2) (2022)
Ping Xuan, Meng Wang, Yong Liu, Dong Wang, Tiangang Zhang, Toshiya Nakaguchi
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction. Briefings Bioinform. 23 (3) (2022)
Ping Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction. Briefings Bioinform. 23 (1) (2022)
Ping Xuan, Dong Wang, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction. Briefings Bioinform. 23 (1) (2022)
Ping Xuan, Xiangfeng Meng, Ling Gao, Tiangang Zhang, Toshiya Nakaguchi
Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction. Briefings Bioinform. 23 (3) (2022)
Kaimiao Hu, Hui Cui, Tiangang Zhang, Chang Sun, Ping Xuan
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction. Briefings Bioinform. 23 (2) (2022)
Chang Sun, Ping Xuan, Tiangang Zhang, Yilin Ye
Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Ping Xuan, Ling Gao, Nan Sheng, Tiangang Zhang, Toshiya Nakaguchi
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Hui 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
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction. MICCAI (5) (2021)
Yulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh
Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network. MICCAI (5) (2021)
Nan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction. Briefings Bioinform. 22 (3) (2021)
Ping Xuan, Bingxu Chen, Tiangang Zhang, Yan Yang
Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. Briefings Bioinform. 22 (5) (2021)
Ying Liu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan
Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation. EMBC (2021)
Tong Wang, Ping Xuan, Zonglin Liu, Tiangang Zhang
Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions. BMC Bioinform. 21 (1) (2020)
Ping Xuan, Tonghui Shen, Xiao Wang, Tiangang Zhang, Weixiong Zhang
Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Rubai Mao, Zhe Han, Zitu Liu, Yong Liu, Xingfeng Lv, Ping Xuan
PRME-GTS: A New Successive POI Recommendation Model with Temporal and Social Influences. ADMA (2019)
Ping Xuan, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen
Drug repositioning through integration of prior knowledge and projections of drugs and diseases. Bioinform. 35 (20) (2019)
Yingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network. Bioinform. 34 (2) (2018)
Yong Liu, Zhe Han, Shengshu Shi, Wei Zhang, Ping Xuan
SA-Min: An Efficient Algorithm for Minimizing the Spread of Influence in a Social Network. CWSN (2017)
Ping Xuan, Ke Han, Yahong Guo, Jin Li, Xia Li, Yingli Zhong, Zhaogong Zhang, Jian Ding
Prediction of potential disease-associated microRNAs based on random walk. Bioinform. 31 (11) (2015)
Zhixia Teng, Maozu Guo, Xiaoyan Liu, Qiguo Dai, Chun-yu Wang, Ping Xuan
Measuring gene functional similarity based on group-wise comparison of GO terms. Bioinform. 29 (11) (2013)
Ping Xuan, Maozu Guo, Xiaoyan Liu, Yangchao Huang, Wenbin Li, Yufei Huang
: efficient classification of real and pseudo plant pre-miRNAs. Bioinform. 27 (10) (2011)
Quan Zou, Maozu Guo, Yang Liu, Ping Xuan
DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursors. Int. J. Bioinform. Res. Appl. 6 (1) (2010)
Ping Xuan, Maozu Guo, Lei-lei Shi, Jun Wang, Xiaoyan Liu, Wenbin Li, Yingpeng Han
Two-stage clustering based effective sample selection for classification of pre-miRNAs. BIBM (2010)
Shelley Zhang, Ping Xuan, Bhumit Patel
Managing operations in multiagent virtual organizations. AAMAS (2) (2009)
Ping Xuan
Modeling plan coordination in multiagent decision processes. AAMAS (2007)
Victor 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
Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework. Auton. Agents Multi Agent Syst. 9 (1-2) (2004)
Ping Xuan, Victor R. Lesser
Multi-agent policies: from centralized ones to decentralized ones. AAMAS (2002)
Ping Xuan, Victor R. Lesser, Shlomo Zilberstein
Communication decisions in multi-agent cooperation: model and experiments. Agents (2001)
Thomas Wagner, Brett Benyo, Victor R. Lesser, Ping Xuan
Investigating Interactions between Agent Conversations and Agent Control Components. Issues in Agent Communication (2000)
Ping Xuan, Victor R. Lesser, Shlomo Zilberstein
Communication in Multi-Agent Markov Decision Processes. ICMAS (2000)
Ping Xuan, Victor R. Lesser
Incorporating Uncertainty in Agent Commitments. ATAL (1999)
Victor R. Lesser, Michael Atighetchi, Brett Benyo, Bryan Horling, Anita Raja, Régis Vincent, Thomas Wagner, Ping Xuan, Xiaoqin Zhang
The UMASS Intelligent Home Project. Agents (1999)
Ping Xuan, Subhabrata Sen, Oscar González, Jesús Fernández-Conde, Krithi Ramamritham
Broadcast on Demand: Efficient and Timely Dissemination of Data in Mobile Environments. IEEE Real Time Technology and Applications Symposium (1997)