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2020 – today
- 2025
[i9]Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng, Renchu Guan:
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. CoRR abs/2501.05635 (2025)- [i8]Yonghao Liu, Mengyu Li, Wei Pang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning. CoRR abs/2501.09214 (2025) - [i7]Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan:
A Simple Graph Contrastive Learning Framework for Short Text Classification. CoRR abs/2501.09219 (2025) - 2024
- [j45]Lan Huang, Xin-Fei Wang
, Yan Wang, Ren-Chu Guan, Nan Sheng, Xuping Xie, Lei Wang, Ziqi Zhao:
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer. Briefings Bioinform. 25(6) (2024) - [j44]Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Wenju Hou:
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks. Briefings Bioinform. 25(6) (2024) - [j43]Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Qixing Yang:
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers. Briefings Bioinform. 25(6) (2024) - [j42]Xiaosong Han, Mengchen Cao, Dong Xu, Xiaoyue Feng, Yanchun Liang, Xiaoduo Lang, Renchu Guan:
SEOE: an option graph based semantically embedding method for prenatal depression detection. Frontiers Comput. Sci. 18(6): 186911 (2024) - [j41]Xiaoran Li, Xiaosong Han, Siqing Wei, Yanchun Liang, Renchu Guan:
Acupuncture and tuina knowledge graph with prompt learning. Frontiers Big Data 7 (2024) - [j40]Chen Yang, Nan Zhang, Renchu Guan, Haishi Zhao:
Mapping Cones on Mars in High-Resolution Planetary Images with Deep Learning-Based Instance Segmentation. Remote. Sens. 16(2): 227 (2024) - [j39]Chen Yang, Xinglong Wang, Dandong Zhao, Renchu Guan, Haishi Zhao:
Accurate Mapping and Evaluation of Small Impact Craters within the Lunar Landing Area. Remote. Sens. 16(12): 2165 (2024) - [j38]Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan:
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. ACM Trans. Knowl. Discov. Data 18(9): 212:1-212:30 (2024) - [c35]Yonghao Liu, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Improved Graph Contrastive Learning for Short Text Classification. AAAI 2024: 18716-18724 - [c34]Ke Chen, Xiaosong Han, Xiaoran Li, Yanchun Liang, Dong Xu, Renchu Guan:
PNESR-DDI: An Effective Drug-Drug Interaction Prediction Model Based on Pretraining Method and Enhanced Subgraph Reconstruction. BIBM 2024: 1874-1881 - [c33]Hongtao Yue, Xiaoyue Feng, Hanchi Xu, Haoxuan Chu, Yushi Wang, Renchu Guan:
Enhancing Nested Named Entity Recognition in Chinese EMRs: A Collaborative Approach. BIBM 2024: 2821-2828 - [c32]Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang:
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. IJCAI 2024: 4479-4487 - [c31]Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. IJCAI 2024: 4605-4613 - [c30]Bing Wang, Shengsheng Wang, Changchun Li, Renchu Guan, Ximing Li:
Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. ACM Multimedia 2024: 2262-2271 - [c29]Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye:
Instance-adaptive Zero-shot Chain-of-Thought Prompting. NeurIPS 2024 - [c28]Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. WWW 2024: 4249-4259 - [i6]Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification. CoRR abs/2405.11524 (2024) - [i5]Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. CoRR abs/2405.12434 (2024) - [i4]Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan:
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. CoRR abs/2407.14732 (2024) - [i3]Bing Wang, Sheng-Sheng Wang, Changchun Li, Renchu Guan, Ximing Li:
Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. CoRR abs/2407.19192 (2024) - [i2]Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye:
Instance-adaptive Zero-shot Chain-of-Thought Prompting. CoRR abs/2409.20441 (2024) - 2023
- [j37]Renchu Guan, Mingming Wang, Lorenzo Bruzzone, Haishi Zhao, Chen Yang:
Lightweight Attention Network for Very High-Resolution Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j36]Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng:
Cross-Domain Meta-Learner for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7829-7843 (2023) - [c27]Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan:
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. AAAI 2023: 7157-7165 - [c26]Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng:
Deep Feature-Based Text Clustering and Its Explanation. ICDE 2023: 3871-3872 - [c25]Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan:
Local and Global: Temporal Question Answering via Information Fusion. IJCAI 2023: 5141-5149 - [c24]Xiaosong Yuan, Renchu Guan, Wanli Zuo, Yijia Zhang:
The Causal Strength Bank: A New Benchmark for Causal Strength Classification. PAKDD (1) 2023: 111-122 - 2022
- [j35]Renchu Guan, Haoyu Pang, Yanchun Liang, Zhongjun Shao, Xin Gao, Dong Xu, Xiaoyue Feng:
Discovering trends and hotspots of biosafety and biosecurity research via machine learning. Briefings Bioinform. 23(5) (2022) - [j34]Haishi Zhao, Fengfeng Zhou, Lorenzo Bruzzone, Renchu Guan, Chen Yang:
Superpixel-Level Global and Local Similarity Graph-Based Clustering for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j33]Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng:
Deep Feature-Based Text Clustering and its Explanation. IEEE Trans. Knowl. Data Eng. 34(8): 3669-3680 (2022) - [c23]Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Few-shot Node Classification on Attributed Networks with Graph Meta-learning. SIGIR 2022: 471-481 - [c22]Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng:
Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. SIGIR 2022: 1423-1433 - [c21]Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng:
PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. WWW 2022: 348-359 - 2021
- [j32]Jingqiao Wu, Xiaoyue Feng, Renchu Guan, Yanchun Liang:
Cancer Research Trend Analysis Based on Fusion Feature Representation. Entropy 23(3): 338 (2021) - [j31]Dandong Zhao, Haishi Zhao, Renchu Guan, Chen Yang:
Efficient Building Extraction for High Spatial Resolution Images Based on Dual Attention Network. Int. J. Comput. Commun. Control 16(4) (2021) - [j30]Haishi Zhao, Lorenzo Bruzzone, Renchu Guan, Fengfeng Zhou, Chen Yang:
Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(11): 9616-9632 (2021) - [c20]Lan Huang, Hongrui Guan, Yanchun Liang, Renchu Guan, Xiaoyue Feng:
COVID-19 Knowledge Graph for Drug and Vaccine Development. BIBM 2021: 328-333 - [c19]Chuxue Cao, Yiming He, Yuzhen Chen, Chunli Song, Hao Ling, Renchu Guan, Xiaoyue Feng:
Medical Scene Graphs and Reasoning. BIBM 2021: 645-648 - [c18]Xiaosong Han, Xiaoran Li, Yanchun Liang, Xinghao Wang, Dong Xu, Renchu Guan:
Acupuncture and Tuina Knowledge Graph for Ancient Literature of Traditional Chinese Medicine. BIBM 2021: 674-677 - [c17]Chengyang Zhou, Renchu Guan, Chuntao Zhao, Gonglei Chai, Leigang Wang, Xiaosong Han:
A Chinese Medical Question Answering System Based on Knowledge Graph. BigDataSE 2021: 28-33 - [c16]Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li:
VPALG: Paper-publication Prediction with Graph Neural Networks. CIKM 2021: 617-626 - [c15]Yonghao Liu, Renchu Guan, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng:
Deep Attention Diffusion Graph Neural Networks for Text Classification. EMNLP (1) 2021: 8142-8152 - 2020
- [j29]Hongtao Liu, Yanchun Liang, Liupu Wang, Xiaoyue Feng, Renchu Guan:
BioNMT: A Biomedical Neural Machine Translation System. Int. J. Comput. Commun. Control 15(6) (2020) - [j28]Yulei Tan, Laijun Lu, Lorenzo Bruzzone, Renchu Guan, Zhiyong Chang, Chen Yang:
Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 471-486 (2020)
2010 – 2019
- 2019
- [j27]Sai Biao Jiang, Pak-Kin Wong, Renchu Guan, Yanchun Liang, Jia Li:
An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization. IEEE Access 7: 17780-17790 (2019) - [j26]Xiong-Wen Luo, Zi-Jia Wang, Ren-Chu Guan, Zhi-Hui Zhan, Ying Gao:
A Distributed Multiple Populations Framework for Evolutionary Algorithm in Solving Dynamic Optimization Problems. IEEE Access 7: 44372-44390 (2019) - [j25]Hao Zhang, Renchu Guan, Fengfeng Zhou, Yanchun Liang, Zhi-Hui Zhan, Lan Huang, Xiaoyue Feng:
Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction. IEEE Access 7: 89354-89365 (2019) - [j24]Cheng Kong, Shishun Zhao, Xiaohui Weng, Chang Liu, Renchu Guan, Zhiyong Chang:
Weighted Summation: Feature Extraction of Farm Pigsty Data for Electronic Nose. IEEE Access 7: 96732-96742 (2019) - [j23]Mary Qu Yang, Sherman Morton Weissman, William Yang, Jialing Zhang, Allon Canaan, Renchu Guan:
Correction to: MISC: missing imputation for single-cell RNA sequencing data. BMC Syst. Biol. 13(1): 13:1 (2019) - [j22]Benchun Cao, Yanchun Liang, Shinichi Yoshida, Renchu Guan:
Facial Expression Decoding based on fMRI Brain Signal. Int. J. Comput. Commun. Control 14(4): 475-488 (2019) - [j21]Renchu Guan, Xu Wang, Maurizio Marchese, Mary Qu Yang, Yanchun Liang, Chen Yang:
Feature space learning model. J. Ambient Intell. Humaniz. Comput. 10(5): 2029-2040 (2019) - [j20]Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Relation path embedding in knowledge graphs. Neural Comput. Appl. 31(9): 5629-5639 (2019) - [j19]Pengfei Cao, Zhongyi Yang, Liang Sun, Yanchun Liang, Mary Qu Yang, Renchu Guan:
Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory. Neural Process. Lett. 50(1): 103-119 (2019) - [c14]Hong Zhao, Zhi-Hui Zhan, Wei-Neng Chen, Xiaonan Luo, Tianlong Gu, Ren-Chu Guan, Lan Huang, Jun Zhang:
An Improved Selection Operator for Multi-objective Optimization. ISNN (1) 2019: 379-388 - 2018
- [j18]Mary Qu Yang, Sherman Morton Weissman, William Yang, Jialing Zhang, Allon Canaan, Renchu Guan:
MISC: missing imputation for single-cell RNA sequencing data. BMC Syst. Biol. 12(7): 55-63 (2018) - [j17]Guannan He, Yanchun Liang, Yan Chen, William Yang, Jun S. Liu, Mary Qu Yang, Renchu Guan:
A hotspots analysis-relation discovery representation model for revealing diabetes mellitus and obesity. BMC Syst. Biol. 12(7): 75-85 (2018) - [j16]Xixun Lin, Yanchun Liang, Limin Wang, Xu Wang, Mary Qu Yang, Renchu Guan:
A Knowledge Base Completion Model Based on Path Feature Learning. Int. J. Comput. Commun. Control 13(1): 71-82 (2018) - [j15]Donghui Wang, Yanchun Liang, Dong Xu, Xiaoyue Feng, Renchu Guan:
A content-based recommender system for computer science publications. Knowl. Based Syst. 157: 1-9 (2018) - [j14]Xu Wang, Chen Yang, Renchu Guan:
A comparative study for biomedical named entity recognition. Int. J. Mach. Learn. Cybern. 9(3): 373-382 (2018) - [j13]Mingyang Jiang, Yanchun Liang, Xiaoyue Feng, Xiaojing Fan, Zhili Pei, Yu Xue, Renchu Guan:
Text classification based on deep belief network and softmax regression. Neural Comput. Appl. 29(1): 61-70 (2018) - [j12]Chen Yang, Lorenzo Bruzzone, Haishi Zhao, Yulei Tan, Renchu Guan:
Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 56(12): 7230-7245 (2018) - 2017
- [j11]Haishi Zhao, Laijun Lu, Chen Yang, Renchu Guan:
Kernel Feature Extraction for Hyperspectral Image Classification Using Chunklet Constraints. Comput. Informatics 36(1): 205-222 (2017) - [j10]Xiaoyue Feng, Yanchun Liang, Xiaohu Shi, Dong Xu, Xu Wang, Renchu Guan:
Overfitting Reduction of Text Classification Based on AdaBELM. Entropy 19(7): 330 (2017) - [j9]Chen Yang, Yulei Tan, Lorenzo Bruzzone, Laijun Lu, Renchu Guan:
Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images. Remote. Sens. 9(8): 782 (2017) - [c13]Hao Zhang, Mary Qu Yang, Xiaoyue Feng, William Yang, Weida Tong, Renchu Guan:
Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks. BCB 2017: 770-771 - [c12]William Yang, Sherman Morton Weissman, Renchu Guan, Jialing Zhang, Allon Canaan, Mary Qu Yang:
Invited talk: Developing deep multi-source intelligent learning that facilitates the advancement of single cell genomics research. BIBM 2017: 750-753 - [c11]Dan Li, William Yang, Yifan Zhang, Jack Y. Yang, Weida Tong, Renchu Guan, Mary Qu Yang:
Comprehensive analysis of pulmonary adenocarcinoma in situ (AIS) revealed new insights into lung cancer progression. BIBM 2017: 792-797 - [c10]Yifan Zhang, William Yang, Dan Li, Jack Y. Yang, Renchu Guan, Weida Tong, Mary Qu Yang:
Toward precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis. BIBM 2017: 830-835 - [c9]Guannan He, Yanchun Liang, Yan Chen, William Yang, Jun S. Liu, Mary Qu Yang, Renchu Guan:
Relation discovery and hotspots analysis on diabetes mellitus and obesity with representation model. BIBM 2017: 952-957 - [c8]Renchu Guan, Xu Wang, Maurizio Marchese, Yanchun Liang, Chen Yang:
A Feature Space Learning Model Based on Semi-Supervised Clustering. CSE/EUC (1) 2017: 403-409 - 2016
- [j8]Chen Yang, Lorenzo Bruzzone, Haishi Zhao, Yanchun Liang, Renchu Guan:
Decorrelation-Separability-Based Affinity Propagation for Semisupervised Clustering of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 568-582 (2016) - [c7]Yu Lin, Yanchun Liang, Shinichi Yoshida, Xiaoyue Feng, Renchu Guan:
A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder. SmartCom 2016: 194-204 - [i1]Xixun Lin, Yanchun Liang, Renchu Guan:
Compositional Learning of Relation Paths Embedding for Knowledge Base Completion. CoRR abs/1611.07232 (2016) - 2015
- [c6]Mingliang Cui, Yanchun Liang, Yuping Li, Renchu Guan:
Exploring Trends of Cancer Research Based on Topic Model. IWOST-1 2015: 7-18 - 2014
- [c5]Chen Luo, Renchu Guan, Zhe Wang, Chenghua Lin:
HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks. ECIR 2014: 210-221 - 2013
- [j7]Deyin Ma, Yanchun Liang, Xiaoshe Zhao, Renchu Guan, Xiaohu Shi:
Multi-BP expert system for fault diagnosis of powersystem. Eng. Appl. Artif. Intell. 26(3): 937-944 (2013) - [j6]Chen Yang, Sicong Liu, Lorenzo Bruzzone, Renchu Guan, Peijun Du:
A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 10(5): 1152-1156 (2013) - [j5]Chen Yang, Lorenzo Bruzzone, Renchu Guan, Laijun Lu, Yanchun Liang:
Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 51(3-2): 1666-1679 (2013) - 2012
- [j4]Zhaohua Ji, Chunguo Wu, Yao Wang, Renchu Guan, Huawei Tu, Xiaozhou Wu, Yanchun Liang:
Tri-mean-based statistical differential gene expression detection. Int. J. Data Min. Bioinform. 6(3): 255-271 (2012) - [c4]Chen Yang, Sicong Liu, Lorenzo Bruzzone, Renchu Guan, Peijun Du:
A semisupervised feature metric based band selection method for hyperspectral image classification. WHISPERS 2012: 1-4 - 2011
- [j3]Renchu Guan, Xiaohu Shi, Maurizio Marchese, Chen Yang, Yanchun Liang:
Text Clustering with Seeds Affinity Propagation. IEEE Trans. Knowl. Data Eng. 23(4): 627-637 (2011) - 2010
- [j2]Chen Yang, Lorenzo Bruzzone, Fengyue Sun, Laijun Lu, Renchu Guan, Yanchun Liang:
A Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 48(6): 2647-2659 (2010) - [c3]Xiaohu Shi, Yanwen Li, Haijun Li, Renchu Guan, Liupu Wang, Yanchun Liang:
An integrated algorithm based on artificial bee colony and particle swarm optimization. ICNC 2010: 2586-2590 - [c2]Haiyan Zhao, Zhi-Li Pei, Jingqing Jiang, Renchu Guan, Chaoyong Wang, Xiaohu Shi:
A Hybrid Swarm Intelligent Method Based on Genetic Algorithm and Artificial Bee Colony. ICSI (1) 2010: 558-565
2000 – 2009
- 2009
- [c1]Xiaohu Shi, Renchu Guan, Liupu Wang, Zhili Pei, Yanchun Liang:
An incremental affinity propagation algorithm and its applications for text clustering. IJCNN 2009: 2914-2919 - 2008
- [j1]Chen Yang, Laijun Lu, Heping Lin, Renchu Guan, Xiaohu Shi, Yanchun Liang:
A Fuzzy-Statistics-Based Principal Component Analysis (FS-PCA) Method for Multispectral Image Enhancement and Display. IEEE Trans. Geosci. Remote. Sens. 46(11): 3937-3947 (2008)
Coauthor Index
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