Ping Xuan

85 papers A 2C 1Journal 64Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-Scale Neighbor Topology Guided Transformer and Kolmogorov-Arnold Network Enhanced Feature Learning Model for Disease-Related circRNA Prediction.
IEEE J. Biomed. Health Informatics
Ping Xuan, Haoyuan Li, Hui Cui, Zelong Xu, Toshiya Nakaguchi, Tiangang Zhang
2026 J jnl
Inferring drug-related microbes through multi-perspective node feature distribution encoding and multi-scale hypergraph learning.
Eng. Appl. Artif. Intell.
Fengjiao Sun, Sentao Chen, Hui Cui, Jing Gu, Ping Xuan, Tiangang Zhang
2026 J jnl
Open-Set Domain Adaptation by Joint Distribution Alignment and Unknown Risk Minimization.
Pattern Recognit.
Lisheng Wen, Sentao Chen, Lin Zheng, Ping Xuan
2026 J jnl
Topology-enhanced hypergraph learning and adaptive multi-graph transformer for prediction of drug-related side effects.
Expert Syst. Appl.
Ping Xuan, Xidong Yang, Sentao Chen, Hui Cui, Zelong Xu, Qiangguo Jin, Tiangang Zhang
2025 J jnl
CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering.
CoRR
Qiangguo Jin, Xianyao Zheng, Hui Cui, Changming Sun, Yuqi Fang, Cong Cong, Ran Su, Leyi Wei, Ping Xuan, Junbo Wang
2025 J jnl
ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images.
CoRR
Linkuan Zhou, Zhexin Chen, Yufei Shen, Junlin Xu, Ping Xuan, Yixin Zhu, Yuqi Fang, Cong Cong, Leyi Wei, Ran Su, Jia Zhou, Qiangguo Jin
2025 J jnl
Fourier Transform and Kolmogorov-Arnold Network Enhanced Relation-Aware Generative and Adversarial Network for miRNA-Disease Association Prediction.
IEEE Trans. Comput. Biol. Bioinform.
Dongliang Chen, Chunxu Xu, Ping Xuan, Mengxia Wang, Tiangang Zhang
2025 J jnl
Interactive multi-hypergraph inferring and channel-enhanced and attribute-enhanced learning for drug-related side effect prediction.
Comput. Biol. Medicine
Ping Xuan, Shien Wu, Hui Cui, Peiru Li, Toshiya Nakaguchi, Tiangang Zhang
2025 J jnl
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation.
CoRR
Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su
2025 J jnl
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation.
Knowl. Based Syst.
Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su
2025 J jnl
Joint Distribution Weighted Alignment for Multi-Source Domain Adaptation via Kernel Relative Entropy Estimation.
IEEE Trans. Multim.
Sentao Chen, Ping Xuan, Zhifeng Hao
2025 J jnl
KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction.
J. Chem. Inf. Model.
Dongliang Chen, Tiangang Zhang, Hui Cui, Jing Gu, Ping Xuan
2025 J jnl
Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects.
J. Chem. Inf. Model.
Ping Xuan, Tianhong Cheng, Hui Cui, Jing Gu, Qiangguo Jin, Tiangang Zhang
2025 J jnl
Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction.
J. Chem. Inf. Model.
Jing Gu, Tiangang Zhang, Yihang Gao, Sentao Chen, Yuxin Zhang, Hui Cui, Ping Xuan
2025 J jnl
PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network.
Eng. Appl. Artif. Intell.
Qiangguo Jin, Ankang Wu, Leyi Wei, Hui Cui, Ping Xuan, Xikang Feng, Ran Su
2025 J jnl
Robust subspace structure discovery for cell type identification in scRNA-seq data.
BMC Bioinform.
Xianyong Zhou, Xindian Wei, Cheng Liu, Wenjun Shen, Ping Xuan, Si Wu, Hau-San Wong
2025 J jnl
Structure-sensitive transformer and multi-view graph contrastive learning enhanced prediction of drug-related microbes.
BMC Bioinform.
Ping Xuan, Rui Wang, Jing Gu, Hui Cui, Tiangang Zhang
2025 J jnl
Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs.
J. Chem. Inf. Model.
Ping Xuan, Xiaoying Qi, Sentao Chen, Jing Gu, Xiuju Wang, Hui Cui, Jun Lu, Tiangang Zhang
2024 — conf
A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis.
MICCAI (5)
Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui
2024 J jnl
DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins.
Bioinform.
Xiaokun Li, Qiang Yang, Long Xu, Weihe Dong, Gongning Luo, Wei Wang, Suyu Dong, Kuanquan Wang, Ping Xuan, Xianyu Zhang, Xin Gao
2024 J jnl
Dynamic category-sensitive hypergraph inferring and homo-heterogeneous neighbor feature learning for drug-related microbe prediction.
Bioinform.
Ping Xuan, Zelong Xu, Hui Cui, Jing Gu, Cheng Liu, Tiangang Zhang, Peiliang Wu
2024 J jnl
Evolving graph convolutional network with transformer for CT segmentation.
Appl. Soft Comput.
Hui Cui, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, David Dagan Feng
2024 J jnl
Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations.
J. Chem. Inf. Model.
Ping Xuan, Chunhong Guan, Sentao Chen, Jing Gu, Xiuju Wang, Toshiya Nakaguchi, Tiangang Zhang
2024 J jnl
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs.
J. Chem. Inf. Model.
Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
2024 — conf
Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones.
MICCAI (11)
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
2024 J jnl
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones.
CoRR
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
2024 — conf
MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction.
BIBM
Ran Su, Jin Xiao, Hui Cui, Ping Xuan, Xikang Feng, Leyi Wei, Qiangguo Jin
2024 J jnl
Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction.
J. Chem. Inf. Model.
Ping Xuan, Wei Wang, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
2024 J jnl
Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction.
IEEE J. Biomed. Health Informatics
Ping Xuan, Xiuju Wang, Hui Cui, XiangFeng Meng, Toshiya Nakaguchi, Tiangang Zhang
2024 J jnl
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes.
Bioinform.
Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang
2024 J jnl
Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images.
Comput. Biol. Medicine
Ping Xuan, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Tiangang Zhang
2024 — conf
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes.
BIBM
Ran Su, Rui Shi, Hui Cui, Ping Xuan, Chengyan Fang, Xikang Feng, Qiangguo Jin
2024 J jnl
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes.
CoRR
Ran Su, Rui Shi, Hui Cui, Ping Xuan, Chengyan Fang, Xikang Feng, Qiangguo Jin
2023 J jnl
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations.
J. Chem. Inf. Model.
Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan
2023 — conf
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information.
MICCAI (6)
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
2023 J jnl
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation.
Appl. Soft Comput.
Ping Xuan, Xixi Wu, Hui Cui, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B. L. Duh
2023 J jnl
Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi
2023 — conf
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans.
BIBM
Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su
2023 J jnl
Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction.
Comput. Biol. Medicine
Ping Xuan, Honglei Bai, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang
2022 J jnl
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction.
Briefings Bioinform.
Kaimiao Hu, Hui Cui, Tiangang Zhang, Chang Sun, Ping Xuan
2022 J jnl
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.
Comput. Methods Programs Biomed.
Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang
2022 J jnl
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes.
Knowl. Based Syst.
Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry B. L. Duh
2022 J jnl
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs.
Briefings Bioinform.
Ping Xuan, Zhe Gong, Hui Cui, Bochong Li, Tiangang Zhang
2022 J jnl
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction.
Briefings Bioinform.
Ping Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
2022 J jnl
Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chang Sun, Ping Xuan, Tiangang Zhang, Yilin Ye
2022 J jnl
Graph Triple-Attention Network for Disease-Related LncRNA Prediction.
IEEE J. Biomed. Health Informatics
Ping Xuan, Liyun Zhan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Weixiong Zhang
2022 J jnl
Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction.
Briefings Bioinform.
Ping Xuan, XiangFeng Meng, Ling Gao, Tiangang Zhang, Toshiya Nakaguchi
2022 J jnl
Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoqiang Xu, Ping Xuan, Tiangang Zhang, Bingxu Chen, Nan Sheng
2022 J jnl
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction.
Briefings Bioinform.
Ping Xuan, Meng Wang, Yong Liu, Dong Wang, Tiangang Zhang, Toshiya Nakaguchi
2022 J jnl
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction.
Briefings Bioinform.
Ping Xuan, Dong Wang, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
2022 J jnl
Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction.
IEEE J. Biomed. Health Informatics
Ping Xuan, Kaimiao Hu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
2022 J jnl
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.
Briefings Bioinform.
Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu
2022 J jnl
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.
Briefings Bioinform.
Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan
2022 J jnl
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.
Briefings Bioinform.
Nan Sheng, Lan Huang, Yan Wang, Jing Zhao, Ping Xuan, Ling Gao, Yangkun Cao
2022 J jnl
Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan
2022 J jnl
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets.
Briefings Bioinform.
Ling Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan
2022 J jnl
Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks.
Algorithms
Bochong Li, Ryo Oka, Ping Xuan, Yuichiro Yoshimura, Toshiya Nakaguchi
2022 J jnl
multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction.
Briefings Bioinform.
Ping Xuan, Xiaowen Zhang, Yu Zhang, Kaimiao Hu, Toshiya Nakaguchi, Tiangang Zhang
2021 J jnl
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.
Briefings Bioinform.
Nan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan
2021 — conf
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction.
MICCAI (5)
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
2021 J jnl
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations.
IEEE J. Biomed. Health Informatics
Ping Xuan, Ling Gao, Nan Sheng, Tiangang Zhang, Toshiya Nakaguchi
2021 — conf
Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation.
EMBC
Ying Liu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan
2021 J jnl
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction.
Briefings Bioinform.
Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi
2021 — conf
Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network.
MICCAI (5)
Yulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh
2021 J jnl
Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ping Xuan, Bingxu Chen, Tiangang Zhang, Yan Yang
2020 J jnl
Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions.
BMC Bioinform.
Tong Wang, Ping Xuan, Zonglin Liu, Tiangang Zhang
2020 J jnl
Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ping Xuan, Tonghui Shen, Xiao Wang, Tiangang Zhang, Weixiong Zhang
2019 J jnl
Drug repositioning through integration of prior knowledge and projections of drugs and diseases.
Bioinform.
Ping Xuan, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen
2019 C conf
PRME-GTS: A New Successive POI Recommendation Model with Temporal and Social Influences.
ADMA
Rubai Mao, Zhe Han, Zitu Liu, Yong Liu, Xingfeng Lv, Ping Xuan
2018 J jnl
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network.
Bioinform.
Yingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang
2017 — conf
SA-Min: An Efficient Algorithm for Minimizing the Spread of Influence in a Social Network.
CWSN
Yong Liu, Zhe Han, Shengshu Shi, Wei Zhang, Ping Xuan
2015 J jnl
Prediction of potential disease-associated microRNAs based on random walk.
Bioinform.
Ping Xuan, Ke Han, Yahong Guo, Jin Li, Xia Li, Yingli Zhong, Zhaogong Zhang, Jian Ding
2013 J jnl
Measuring gene functional similarity based on group-wise comparison of GO terms.
Bioinform.
Zhixia Teng, Maozu Guo, Xiaoyan Liu, Qiguo Dai, Chunyu Wang, Ping Xuan
2010 J jnl
DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursors.
Int. J. Bioinform. Res. Appl.
Quan Zou, Maozu Guo, Yang Liu, Ping Xuan
2010 — conf
Two-stage clustering based effective sample selection for classification of pre-miRNAs.
BIBM
Ping Xuan, Maozu Guo, Lei-lei Shi, Jun Wang, Xiaoyan Liu, Wenbin Li, Yingpeng Han
2009 — conf
Managing operations in multiagent virtual organizations.
AAMAS (2)
Shelley Zhang, Ping Xuan, Bhumit Patel
2007 A conf
Modeling plan coordination in multiagent decision processes.
AAMAS
Ping Xuan
2004 J jnl
Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework.
Auton. Agents Multi Agent Syst.
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
2002 A conf
Multi-agent policies: from centralized ones to decentralized ones.
AAMAS
Ping Xuan, Victor R. Lesser
2001 — conf
Communication decisions in multi-agent cooperation: model and experiments.
Agents
Ping Xuan, Victor R. Lesser, Shlomo Zilberstein
2000 — conf
Communication in Multi-Agent Markov Decision Processes.
ICMAS
Ping Xuan, Victor R. Lesser, Shlomo Zilberstein
2000 — conf
Investigating Interactions between Agent Conversations and Agent Control Components.
Issues in Agent Communication
Thomas Wagner, Brett Benyo, Victor R. Lesser, Ping Xuan
1999 — conf
Incorporating Uncertainty in Agent Commitments.
ATAL
Ping Xuan, Victor R. Lesser
1999 — conf
The UMASS Intelligent Home Project.
Agents
Victor R. Lesser, Michael Atighetchi, Brett Benyo, Bryan Horling, Anita Raja, Régis Vincent, Thomas Wagner, Ping Xuan, Xiaoqin Zhang
1997 — conf
Broadcast on Demand: Efficient and Timely Dissemination of Data in Mobile Environments.
IEEE Real Time Technology and Applications Symposium
Ping Xuan, Subhabrata Sen, Oscar González, Jesús Fernández-Conde, Krithi Ramamritham