Renchu Guan

According to our database, Renchu Guan authored at least 79 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SEOE: an option graph based semantically embedding method for prenatal depression detection.

Xiaosong Han, Mengchen Cao, Dong Xu, Xiaoyue Feng, Yanchun Liang, Xiaoduo Lang, Renchu Guan

Frontiers Comput. Sci., December, 2024

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training.

Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan

ACM Trans. Knowl. Discov. Data, November, 2024

Accurate Mapping and Evaluation of Small Impact Craters within the Lunar Landing Area.

Chen Yang, Xinglong Wang, Dandong Zhao, Renchu Guan, Haishi Zhao

Remote. Sens., June, 2024

Mapping Cones on Mars in High-Resolution Planetary Images with Deep Learning-Based Instance Segmentation.

Chen Yang, Nan Zhang, Renchu Guan, Haishi Zhao

Remote. Sens., January, 2024

Acupuncture and tuina knowledge graph with prompt learning.

Xiaoran Li, Xiaosong Han, Siqing Wei, Yanchun Liang, Renchu Guan

Frontiers Big Data, 2024

Instance-adaptive Zero-shot Chain-of-Thought Prompting.

Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye

CoRR, 2024

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification.

Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

CoRR, 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, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Qixing Yang

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, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Wenju Hou

Briefings Bioinform., 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, Xin-Fei Wang, Yan Wang, Ren-Chu Guan, Nan Sheng, Xuping Xie, Lei Wang, Ziqi Zhao

Briefings Bioinform., 2024

A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification.

Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the ACM on Web Conference 2024, 2024

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection.

Bing Wang, Shengsheng Wang, Changchun Li, Renchu Guan, Ximing Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference.

Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives.

Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improved Graph Contrastive Learning for Short Text Classification.

Yonghao Liu, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-Domain Meta-Learner for Cold-Start Recommendation.

Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng

IEEE Trans. Knowl. Data Eng., August, 2023

Lightweight Attention Network for Very High-Resolution Image Semantic Segmentation.

Renchu Guan, Mingming Wang, Lorenzo Bruzzone, Haishi Zhao, Chen Yang

IEEE Trans. Geosci. Remote. Sens., 2023

The Causal Strength Bank: A New Benchmark for Causal Strength Classification.

Xiaosong Yuan, Renchu Guan, Wanli Zuo, Yijia Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Local and Global: Temporal Question Answering via Information Fusion.

Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization.

Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Feature-Based Text Clustering and its Explanation.

Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng

IEEE Trans. Knowl. Data Eng., 2022

Superpixel-Level Global and Local Similarity Graph-Based Clustering for Large Hyperspectral Images.

Haishi Zhao, Fengfeng Zhou, Lorenzo Bruzzone, Renchu Guan, Chen Yang

IEEE Trans. Geosci. Remote. Sens., 2022

Discovering trends and hotspots of biosafety and biosecurity research via machine learning.

Renchu Guan, Haoyu Pang, Yanchun Liang, Zhongjun Shao, Xin Gao, Dong Xu, Xiaoyue Feng

Briefings Bioinform., 2022

PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation.

Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Few-shot Node Classification on Attributed Networks with Graph Meta-learning.

Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates.

Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification.

Haishi Zhao, Lorenzo Bruzzone, Renchu Guan, Fengfeng Zhou, Chen Yang

IEEE Trans. Geosci. Remote. Sens., 2021

Efficient Building Extraction for High Spatial Resolution Images Based on Dual Attention Network.

Dandong Zhao, Haishi Zhao, Renchu Guan, Chen Yang

Int. J. Comput. Commun. Control, 2021

Cancer Research Trend Analysis Based on Fusion Feature Representation.

Jingqiao Wu, Xiaoyue Feng, Renchu Guan, Yanchun Liang

Entropy, 2021

Deep Attention Diffusion Graph Neural Networks for Text Classification.

Yonghao Liu, Renchu Guan, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

VPALG: Paper-publication Prediction with Graph Neural Networks.

Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Chinese Medical Question Answering System Based on Knowledge Graph.

Chengyang Zhou, Renchu Guan, Chuntao Zhao, Gonglei Chai, Leigang Wang, Xiaosong Han

Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021

COVID-19 Knowledge Graph for Drug and Vaccine Development.

Lan Huang, Hongrui Guan, Yanchun Liang, Renchu Guan, Xiaoyue Feng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Acupuncture and Tuina Knowledge Graph for Ancient Literature of Traditional Chinese Medicine.

Xiaosong Han, Xiaoran Li, Yanchun Liang, Xinghao Wang, Dong Xu, Renchu Guan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Medical Scene Graphs and Reasoning.

Chuxue Cao, Yiming He, Yuzhen Chen, Chunli Song, Hao Ling, Renchu Guan, Xiaoyue Feng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

BioNMT: A Biomedical Neural Machine Translation System.

Hongtao Liu, Yanchun Liang, Liupu Wang, Xiaoyue Feng, Renchu Guan

Int. J. Comput. Commun. Control, November, 2020

Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping.

Yulei Tan, Laijun Lu, Lorenzo Bruzzone, Renchu Guan, Zhiyong Chang, Chen Yang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019

Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory.

Pengfei Cao, Zhongyi Yang, Liang Sun, Yanchun Liang, Mary Qu Yang, Renchu Guan

Neural Process. Lett., 2019

Relation path embedding in knowledge graphs.

Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Neural Comput. Appl., 2019

Feature space learning model.

Renchu Guan, Xu Wang, Maurizio Marchese, Mary Qu Yang, Yanchun Liang, Chen Yang

J. Ambient Intell. Humaniz. Comput., 2019

Facial Expression Decoding based on fMRI Brain Signal.

Benchun Cao, Yanchun Liang, Shinichi Yoshida, Renchu Guan

Int. J. Comput. Commun. Control, 2019

Correction to: MISC: missing imputation for single-cell RNA sequencing data.

Mary Qu Yang, Sherman Morton Weissman, William Yang, Jialing Zhang, Allon Canaan, Renchu Guan

BMC Syst. Biol., 2019

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction.

Hao Zhang, Renchu Guan, Fengfeng Zhou, Yanchun Liang, Zhi-Hui Zhan, Lan Huang, Xiaoyue Feng

IEEE Access, 2019

A Distributed Multiple Populations Framework for Evolutionary Algorithm in Solving Dynamic Optimization Problems.

Xiong-Wen Luo, Zi-Jia Wang, Ren-Chu Guan, Zhi-Hui Zhan, Ying Gao

IEEE Access, 2019

Weighted Summation: Feature Extraction of Farm Pigsty Data for Electronic Nose.

Cheng Kong, Shishun Zhao, Xiaohui Weng, Chang Liu, Renchu Guan, Zhiyong Chang

IEEE Access, 2019

An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization.

Sai Biao Jiang, Pak-Kin Wong, Renchu Guan, Yanchun Liang, Jia Li

IEEE Access, 2019

An Improved Selection Operator for Multi-objective Optimization.

Hong Zhao, Zhi-Hui Zhan, Wei-Neng Chen, Xiaonan Luo, Tianlong Gu, Ren-Chu Guan, Lan Huang, Jun Zhang

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images.

Chen Yang, Lorenzo Bruzzone, Haishi Zhao, Yulei Tan, Renchu Guan

IEEE Trans. Geosci. Remote. Sens., 2018

Text classification based on deep belief network and softmax regression.

Mingyang Jiang, Yanchun Liang, Xiaoyue Feng, Xiaojing Fan, Zhili Pei, Yu Xue, Renchu Guan

Neural Comput. Appl., 2018

A comparative study for biomedical named entity recognition.

Xu Wang, Chen Yang, Renchu Guan

Int. J. Mach. Learn. Cybern., 2018

A content-based recommender system for computer science publications.

Donghui Wang, Yanchun Liang, Dong Xu, Xiaoyue Feng, Renchu Guan

Knowl. Based Syst., 2018

A Knowledge Base Completion Model Based on Path Feature Learning.

Xixun Lin, Yanchun Liang, Limin Wang, Xu Wang, Mary Qu Yang, Renchu Guan

Int. J. Comput. Commun. Control, 2018

MISC: missing imputation for single-cell RNA sequencing data.

Mary Qu Yang, Sherman Morton Weissman, William Yang, Jialing Zhang, Allon Canaan, Renchu Guan

BMC Syst. Biol., 2018

A hotspots analysis-relation discovery representation model for revealing diabetes mellitus and obesity.

Guannan He, Yanchun Liang, Yan Chen, William Yang, Jun S. Liu, Mary Qu Yang, Renchu Guan

BMC Syst. Biol., 2018

2017

Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images.

Chen Yang, Yulei Tan, Lorenzo Bruzzone, Laijun Lu, Renchu Guan

Remote. Sens., 2017

Overfitting Reduction of Text Classification Based on AdaBELM.

Xiaoyue Feng, Yanchun Liang, Xiaohu Shi, Dong Xu, Xu Wang, Renchu Guan

Entropy, 2017

Kernel Feature Extraction for Hyperspectral Image Classification Using Chunklet Constraints.

Haishi Zhao, Laijun Lu, Chen Yang, Renchu Guan

Comput. Informatics, 2017

A Feature Space Learning Model Based on Semi-Supervised Clustering.

Renchu Guan, Xu Wang, Maurizio Marchese, Yanchun Liang, Chen Yang

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Toward precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis.

Yifan Zhang, William Yang, Dan Li, Jack Y. Yang, Renchu Guan, Weida Tong, Mary Qu Yang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Invited talk: Developing deep multi-source intelligent learning that facilitates the advancement of single cell genomics research.

William Yang, Sherman Morton Weissman, Renchu Guan, Jialing Zhang, Allon Canaan, Mary Qu Yang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Comprehensive analysis of pulmonary adenocarcinoma in situ (AIS) revealed new insights into lung cancer progression.

Dan Li, William Yang, Yifan Zhang, Jack Y. Yang, Weida Tong, Renchu Guan, Mary Qu Yang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Relation discovery and hotspots analysis on diabetes mellitus and obesity with representation model.

Guannan He, Yanchun Liang, Yan Chen, William Yang, Jun S. Liu, Mary Qu Yang, Renchu Guan

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks.

Hao Zhang, Mary Qu Yang, Xiaoyue Feng, William Yang, Weida Tong, Renchu Guan

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Decorrelation-Separability-Based Affinity Propagation for Semisupervised Clustering of Hyperspectral Images.

Chen Yang, Lorenzo Bruzzone, Haishi Zhao, Yanchun Liang, Renchu Guan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Compositional Learning of Relation Paths Embedding for Knowledge Base Completion.

Xixun Lin, Yanchun Liang, Renchu Guan

CoRR, 2016

A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder.

Yu Lin, Yanchun Liang, Shinichi Yoshida, Xiaoyue Feng, Renchu Guan

Proceedings of the Smart Computing and Communication, 2016

2015

Exploring Trends of Cancer Research Based on Topic Model.

Mingliang Cui, Yanchun Liang, Yuping Li, Renchu Guan

Proceedings of the 1st International Workshop on Semantic Technologies (IWOST), 2015

2014

HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks.

Chen Luo, Renchu Guan, Zhe Wang, Chenghua Lin

Proceedings of the Advances in Information Retrieval, 2014

2013

Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images.

Chen Yang, Lorenzo Bruzzone, Renchu Guan, Laijun Lu, Yanchun Liang

IEEE Trans. Geosci. Remote. Sens., 2013

A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification.

Chen Yang, Sicong Liu, Lorenzo Bruzzone, Renchu Guan, Peijun Du

IEEE Geosci. Remote. Sens. Lett., 2013

Multi-BP expert system for fault diagnosis of powersystem.

Deyin Ma, Yanchun Liang, Xiaoshe Zhao, Renchu Guan, Xiaohu Shi

Eng. Appl. Artif. Intell., 2013

2012

Tri-mean-based statistical differential gene expression detection.

Zhaohua Ji, Chunguo Wu, Yao Wang, Renchu Guan, Huawei Tu, Xiaozhou Wu, Yanchun Liang

Int. J. Data Min. Bioinform., 2012

A semisupervised feature metric based band selection method for hyperspectral image classification.

Chen Yang, Sicong Liu, Lorenzo Bruzzone, Renchu Guan, Peijun Du

Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

2011

Text Clustering with Seeds Affinity Propagation.

Renchu Guan, Xiaohu Shi, Maurizio Marchese, Chen Yang, Yanchun Liang

IEEE Trans. Knowl. Data Eng., 2011

2010

A Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images.

Chen Yang, Lorenzo Bruzzone, Fengyue Sun, Laijun Lu, Renchu Guan, Yanchun Liang

IEEE Trans. Geosci. Remote. Sens., 2010

A Hybrid Swarm Intelligent Method Based on Genetic Algorithm and Artificial Bee Colony.

Haiyan Zhao, Zhi-Li Pei, Jingqing Jiang, Renchu Guan, Chaoyong Wang, Xiaohu Shi

Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

An integrated algorithm based on artificial bee colony and particle swarm optimization.

Xiaohu Shi, Yanwen Li, Haijun Li, Renchu Guan, Liupu Wang, Yanchun Liang

Proceedings of the Sixth International Conference on Natural Computation, 2010

2009

An incremental affinity propagation algorithm and its applications for text clustering.

Xiaohu Shi, Renchu Guan, Liupu Wang, Zhili Pei, Yanchun Liang

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

A Fuzzy-Statistics-Based Principal Component Analysis (FS-PCA) Method for Multispectral Image Enhancement and Display.

Chen Yang, Laijun Lu, Heping Lin, Renchu Guan, Xiaohu Shi, Yanchun Liang

IEEE Trans. Geosci. Remote. Sens., 2008