A Fuzzy-Statistics-Based Principal Component Analysis (FS-PCA) Method for Multispectral Image Enhancement and Display. - Chen Yang 001; Laijun Lu; Heping Lin; Renchu Guan; Xiaohu Shi; Yanchun Liang 001 (IEEE Trans. Geosci. Remote. Sens., 2008)

An incremental affinity propagation algorithm and its applications for text clustering. - Xiaohu Shi; Renchu Guan; Liupu Wang; Zhili Pei; Yanchun Liang 001 (IJCNN, 2009)

An integrated algorithm based on artificial bee colony and particle swarm optimization. - Xiaohu Shi; Yanwen Li; Haijun Li; Renchu Guan; Liupu Wang; Yanchun Liang 001 (ICNC, 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 (ICSI (1), 2010)

A Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images. - Chen Yang 001; Lorenzo Bruzzone; Fengyue Sun; Laijun Lu; Renchu Guan; Yanchun Liang 001 (IEEE Trans. Geosci. Remote. Sens., 2010)

Text Clustering with Seeds Affinity Propagation. - Renchu Guan; Xiaohu Shi; Maurizio Marchese; Chen Yang 001; Yanchun Liang 001 (IEEE Trans. Knowl. Data Eng., 2011)

A semisupervised feature metric based band selection method for hyperspectral image classification. - Chen Yang 001; Sicong Liu 001; Lorenzo Bruzzone; Renchu Guan; Peijun Du (WHISPERS, 2012)

Tri-mean-based statistical differential gene expression detection. - Zhaohua Ji; Chunguo Wu; Yao Wang; Renchu Guan; Huawei Tu; Xiaozhou Wu; Yanchun Liang 001 (Int. J. Data Min. Bioinform., 2012)

Multi-BP expert system for fault diagnosis of powersystem. - Deyin Ma; Yanchun Liang 001; Xiaoshe Zhao; Renchu Guan; Xiaohu Shi (Eng. Appl. Artif. Intell., 2013)

A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification. - Chen Yang 001; Sicong Liu 001; Lorenzo Bruzzone; Renchu Guan; Peijun Du (IEEE Geosci. Remote. Sens. Lett., 2013)

Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images. - Chen Yang 001; Lorenzo Bruzzone; Renchu Guan; Laijun Lu; Yanchun Liang 001 (IEEE Trans. Geosci. Remote. Sens., 2013)

HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks. - Chen Luo; Renchu Guan; Zhe Wang 007; Chenghua Lin (ECIR, 2014)

Exploring Trends of Cancer Research Based on Topic Model. - Mingliang Cui; Yanchun Liang 001; Yuping Li; Renchu Guan (IWOST-1, 2015)

A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder. - Yu Lin; Yanchun Liang 001; Shinichi Yoshida; Xiaoyue Feng; Renchu Guan (SmartCom, 2016)

Compositional Learning of Relation Paths Embedding for Knowledge Base Completion. - Xixun Lin; Yanchun Liang 001; Renchu Guan (CoRR, 2016)

Decorrelation-Separability-Based Affinity Propagation for Semisupervised Clustering of Hyperspectral Images. - Chen Yang 001; Lorenzo Bruzzone; Haishi Zhao; Yanchun Liang 001; Renchu Guan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks. - Hao Zhang; Mary Qu Yang; Xiaoyue Feng; William Yang; Weida Tong; Renchu Guan (BCB, 2017)

Relation discovery and hotspots analysis on diabetes mellitus and obesity with representation model. - Guannan He; Yanchun Liang 001; Yan Chen; William Yang; Jun S. Liu; Mary Qu Yang; Renchu Guan (BIBM, 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 (BIBM, 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 (BIBM, 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 (BIBM, 2017)

A Feature Space Learning Model Based on Semi-Supervised Clustering. - Renchu Guan; Xu Wang; Maurizio Marchese; Yanchun Liang 001; Chen Yang 001 (CSE/EUC (1), 2017)

Kernel Feature Extraction for Hyperspectral Image Classification Using Chunklet Constraints. - Haishi Zhao; Laijun Lu; Chen Yang 001; Renchu Guan (Comput. Informatics, 2017)

Overfitting Reduction of Text Classification Based on AdaBELM. - Xiaoyue Feng; Yanchun Liang 001; Xiaohu Shi; Dong Xu 002; Xu Wang; Renchu Guan (Entropy, 2017)

Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images. - Chen Yang 001; Yulei Tan; Lorenzo Bruzzone; Laijun Lu; Renchu Guan (Remote. Sens., 2017)

A hotspots analysis-relation discovery representation model for revealing diabetes mellitus and obesity. - Guannan He; Yanchun Liang 001; Yan Chen; William Yang; Jun S. Liu; Mary Qu Yang; Renchu Guan (BMC Syst. Biol., 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 Knowledge Base Completion Model Based on Path Feature Learning. - Xixun Lin; Yanchun Liang 001; Limin Wang 011; Xu Wang; Mary Qu Yang; Renchu Guan (Int. J. Comput. Commun. Control, 2018)

A content-based recommender system for computer science publications. - Donghui Wang; Yanchun Liang 001; Dong Xu 002; Xiaoyue Feng; Renchu Guan (Knowl. Based Syst., 2018)

A comparative study for biomedical named entity recognition. - Xu Wang; Chen Yang 001; Renchu Guan (Int. J. Mach. Learn. Cybern., 2018)

Text classification based on deep belief network and softmax regression. - Mingyang Jiang; Yanchun Liang 001; Xiaoyue Feng; Xiaojing Fan; Zhili Pei; Yu Xue 003; Renchu Guan (Neural Comput. Appl., 2018)

Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images. - Chen Yang 001; Lorenzo Bruzzone; Haishi Zhao; Yulei Tan; Renchu Guan (IEEE Trans. Geosci. Remote. Sens., 2018)

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 002; Jun Zhang 003 (ISNN (1), 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 001; Renchu Guan; Yanchun Liang 001; Jia Li (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)

A Distributed Multiple Populations Framework for Evolutionary Algorithm in Solving Dynamic Optimization Problems. - Xiong-Wen Luo 001; Zi-Jia Wang 001; Ren-Chu Guan; Zhi-Hui Zhan; Ying Gao 004 (IEEE Access, 2019)

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction. - Hao Zhang; Renchu Guan; Fengfeng Zhou; Yanchun Liang 001; Zhi-Hui Zhan; Lan Huang 002; Xiaoyue Feng (IEEE Access, 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)

Facial Expression Decoding based on fMRI Brain Signal. - Benchun Cao; Yanchun Liang 001; Shinichi Yoshida; Renchu Guan (Int. J. Comput. Commun. Control, 2019)

Feature space learning model. - Renchu Guan; Xu Wang; Maurizio Marchese; Mary Qu Yang; Yanchun Liang 001; Chen Yang 001 (J. Ambient Intell. Humaniz. Comput., 2019)

Relation path embedding in knowledge graphs. - Xixun Lin; Yanchun Liang 001; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (Neural Comput. Appl., 2019)

Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory. - Pengfei Cao; Zhongyi Yang; Liang Sun 003; Yanchun Liang 001; Mary Qu Yang; Renchu Guan (Neural Process. Lett., 2019)

Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping. - Yulei Tan; Laijun Lu; Lorenzo Bruzzone; Renchu Guan; Zhiyong Chang; Chen Yang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

BioNMT: A Biomedical Neural Machine Translation System. - Hongtao Liu; Yanchun Liang 001; Liupu Wang; Xiaoyue Feng; Renchu Guan (Int. J. Comput. Commun. Control, 2020)

Medical Scene Graphs and Reasoning. - Chuxue Cao; Yiming He; Yuzhen Chen; Chunli Song; Hao Ling; Renchu Guan; Xiaoyue Feng (BIBM, 2021)

Acupuncture and Tuina Knowledge Graph for Ancient Literature of Traditional Chinese Medicine. - Xiaosong Han; Xiaoran Li; Yanchun Liang 001; Xinghao Wang; Dong Xu 002; Renchu Guan (BIBM, 2021)

COVID-19 Knowledge Graph for Drug and Vaccine Development. - Lan Huang 002; Hongrui Guan; Yanchun Liang 001; Renchu Guan; Xiaoyue Feng (BIBM, 2021)

A Chinese Medical Question Answering System Based on Knowledge Graph. - Chengyang Zhou; Renchu Guan; Chuntao Zhao; Gonglei Chai; Leigang Wang; Xiaosong Han (BigDataSE, 2021)

VPALG: Paper-publication Prediction with Graph Neural Networks. - Renchu Guan; Yonghao Liu 001; Xiaoyue Feng; Ximing Li 002 (CIKM, 2021)

Deep Attention Diffusion Graph Neural Networks for Text Classification. - Yonghao Liu 001; Renchu Guan; Fausto Giunchiglia; Yanchun Liang 001; Xiaoyue Feng (EMNLP (1), 2021)

Cancer Research Trend Analysis Based on Fusion Feature Representation. - Jingqiao Wu; Xiaoyue Feng; Renchu Guan; Yanchun Liang 001 (Entropy, 2021)

Efficient Building Extraction for High Spatial Resolution Images Based on Dual Attention Network. - Dandong Zhao; Haishi Zhao; Renchu Guan; Chen Yang 001 (Int. J. Comput. Commun. Control, 2021)

Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification. - Haishi Zhao; Lorenzo Bruzzone; Renchu Guan; Fengfeng Zhou; Chen Yang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. - Renchu Guan; Haoyu Pang; Fausto Giunchiglia; Ximing Li 002; Xuefeng Yang; Xiaoyue Feng (SIGIR, 2022)

Few-shot Node Classification on Attributed Networks with Graph Meta-learning. - Yonghao Liu 001; Mengyu Li; Ximing Li 002; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (SIGIR, 2022)

PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. - Haoyu Pang; Fausto Giunchiglia; Ximing Li 002; Renchu Guan; Xiaoyue Feng (WWW, 2022)

Discovering trends and hotspots of biosafety and biosecurity research via machine learning. - Renchu Guan; Haoyu Pang; Yanchun Liang 001; Zhongjun Shao; Xin Gao 001; Dong Xu 002; Xiaoyue Feng (Briefings Bioinform., 2022)

Superpixel-Level Global and Local Similarity Graph-Based Clustering for Large Hyperspectral Images. - Haishi Zhao; Fengfeng Zhou; Lorenzo Bruzzone; Renchu Guan; Chen Yang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Feature-Based Text Clustering and its Explanation. - Renchu Guan; Hao Zhang; Yanchun Liang 001; Fausto Giunchiglia; Lan Huang 002; Xiaoyue Feng (IEEE Trans. Knowl. Data Eng., 2022)

Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. - Jinjin Chi; Zhiyao Yang; Ximing Li 002; Jihong Ouyang; Renchu Guan (AAAI, 2023)

Local and Global: Temporal Question Answering via Information Fusion. - Yonghao Liu 001; Di Liang; Mengyu Li; Fausto Giunchiglia; Ximing Li 002; Sirui Wang; Wei Wu; Lan Huang 002; Xiaoyue Feng; Renchu Guan (IJCAI, 2023)

The Causal Strength Bank: A New Benchmark for Causal Strength Classification. - Xiaosong Yuan; Renchu Guan; Wanli Zuo; Yijia Zhang 003 (PAKDD (1), 2023)

Lightweight Attention Network for Very High-Resolution Image Semantic Segmentation. - Renchu Guan; Mingming Wang; Lorenzo Bruzzone; Haishi Zhao; Chen Yang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Cross-Domain Meta-Learner for Cold-Start Recommendation. - Renchu Guan; Haoyu Pang; Fausto Giunchiglia; Yanchun Liang 001; Xiaoyue Feng (IEEE Trans. Knowl. Data Eng., 2023)

Improved Graph Contrastive Learning for Short Text Classification. - Yonghao Liu 001; Lan Huang 002; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (AAAI, 2024)

PNESR-DDI: An Effective Drug-Drug Interaction Prediction Model Based on Pretraining Method and Enhanced Subgraph Reconstruction. - Ke Chen; Xiaosong Han; Xiaoran Li; Yanchun Liang 001; Dong Xu 002; Renchu Guan (BIBM, 2024)

Enhancing Nested Named Entity Recognition in Chinese EMRs: A Collaborative Approach. - Hongtao Yue; Xiaoyue Feng; Hanchi Xu; Haoxuan Chu; Yushi Wang; Renchu Guan (BIBM, 2024)

WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. - Ximing Li 002; Yuanchao Dai; Bing Wang 018; Changchun Li; Renchu Guan; Fangming Gu; Jihong Ouyang (IJCAI, 2024)

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. - Yonghao Liu 001; Mengyu Li; Di Liang; Ximing Li 002; Fausto Giunchiglia; Lan Huang 002; Xiaoyue Feng; Renchu Guan (IJCAI, 2024)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. - Bing Wang 018; Shengsheng Wang 001; Changchun Li; Renchu Guan; Ximing Li 002 (ACM Multimedia, 2024)

Instance-adaptive Zero-shot Chain-of-Thought Prompting. - Xiaosong Yuan; Chen Shen 003; Shaotian Yan; Xiaofeng Zhang; Liang Xie 003; Wenxiao Wang 001; Renchu Guan; Ying Wang; Jieping Ye (NeurIPS, 2024)

A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. - Yonghao Liu 001; Lan Huang 002; Bowen Cao; Ximing Li 002; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (WWW, 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 002; Xin-Fei Wang; Yan Wang 028; Ren-Chu Guan; Nan Sheng; Xuping Xie; Lei Wang 121; Ziqi Zhao (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 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Wenju Hou (Briefings Bioinform., 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 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Qixing Yang (Briefings Bioinform., 2024)

MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention. - Wenchuan Zhao; Yufeng Yu; Guosheng Liu; Yanchun Liang 001; Dong Xu 002; Xiaoyue Feng; Renchu Guan (Briefings Bioinform., 2024)

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification. - Mengyu Li; Yonghao Liu 001; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (CoRR, 2024)

Acupuncture and tuina knowledge graph with prompt learning. - Xiaoran Li; Xiaosong Han; Siqing Wei; Yanchun Liang 001; Renchu Guan (Frontiers Big Data, 2024)

Mapping Cones on Mars in High-Resolution Planetary Images with Deep Learning-Based Instance Segmentation. - Chen Yang 001; Nan Zhang; Renchu Guan; Haishi Zhao (Remote. Sens., 2024)

Accurate Mapping and Evaluation of Small Impact Craters within the Lunar Landing Area. - Chen Yang 001; Xinglong Wang; Dandong Zhao; Renchu Guan; Haishi Zhao (Remote. Sens., 2024)

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. - Yonghao Liu 001; Mengyu Li; Ximing Li 002; Lan Huang 002; Fausto Giunchiglia; Yanchun Liang 001; Xiaoyue Feng; Renchu Guan (ACM Trans. Knowl. Discov. Data, 2024)

SEOE: an option graph based semantically embedding method for prenatal depression detection. - Xiaosong Han; Mengchen Cao; Dong Xu 002; Xiaoyue Feng; Yanchun Liang 001; Xiaoduo Lang; Renchu Guan (Frontiers Comput. Sci., 2024)

A Simple Graph Contrastive Learning Framework for Short Text Classification. - Yonghao Liu 001; Fausto Giunchiglia; Lan Huang 002; Ximing Li 002; Xiaoyue Feng; Renchu Guan (AAAI, 2025)

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning. - Yonghao Liu 001; Mengyu Li; Wei Pang 001; Fausto Giunchiglia; Lan Huang 002; Xiaoyue Feng; Renchu Guan (AAAI, 2025)

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. - Yonghao Liu 001; Fausto Giunchiglia; Ximing Li 002; Lan Huang 002; Xiaoyue Feng; Renchu Guan (KDD (1), 2025)

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. - Yonghao Liu 001; Mengyu Li; Fausto Giunchiglia; Lan Huang 002; Ximing Li 002; Xiaoyue Feng; Renchu Guan (WWW, 2025)

Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks. - Xin-Fei Wang; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Fengfeng Zhou; Yuqing Li; Ziqi Zhao (J. Chem. Inf. Model., 2025)

Cross-Modality Adaptive Feature Fusion for Multitype and Multiscale Impact Craters Identification on Mars. - Chen Yang 001; Minghao Zhao 003; Lorenzo Bruzzone; Renchu Guan; Haishi Zhao (IEEE Trans. Geosci. Remote. Sens., 2025)

Robust Misinformation Detection by Visiting Potential Commonsense Conflict. - Bing Wang 018; Ximing Li 002; Changchun Li; Bingrui Zhao; Bo Fu 001; Renchu Guan; Sheng-Sheng Wang 001 (CoRR, 2025)

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations. - Bing Wang 018; Ximing Li 002; Yiming Wang; Changchun Li; Jiaxu Cui; Renchu Guan; Bo Yang (CoRR, 2025)