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2020 – today
- 2025
[j34]Chengcheng Fu, Xueli Pan, Jieyu Wu, Junkai Cai, Zhisheng Huang, Frank van Harmelen, Weizhong Zhao, Xingpeng Jiang, Tingting He:
KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health. IEEE J. Biomed. Health Informatics 29(3): 1793-1804 (2025)- 2024
- [j33]Ankang Wei, Zhen Xiao, Lingling Fu, Weizhong Zhao, Xingpeng Jiang:
Predicting phage-host interactions via feature augmentation and regional graph convolution. Briefings Bioinform. 26(1) (2024) - [j32]Qiang Zhu
, Cheng Hong, Yajie Meng, Huali Yang, Weizhong Zhao:
Joint extraction of biomedical overlapping triples through feature partition encoding. Expert Syst. Appl. 241: 122723 (2024) - [j31]Dandan Li, Zhen Xiao, Han Sun, Xingpeng Jiang, Weizhong Zhao, Xianjun Shen:
Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 120-128 (2024) - [j30]Weizhong Zhao, Junze Wu, Shujie Luo, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism. IEEE J. Biomed. Health Informatics 28(7): 4348-4360 (2024) - [c56]Yu Chen, Xingpeng Jiang, Weizhong Zhao:
AMPpred-DLFF: prediction of AMPs based on deep learning and multi-view features fusion. BIBM 2024: 891-896 - [c55]Xing Lv, Weizhong Zhao, Xinhui Tu, Tingting He:
Predicting Protein-ligand Binding Affinity via Molecular Mechanics-guided Graph Aggregation. BIBM 2024: 1072-1077 - [c54]Chenlian Zhou, Xinhui Tu, Tingting He, Weizhong Zhao, Cong Guo, Rui Fan, Yinghao Xiong:
Concept-based Biomedical Text Expansion via Large Language Models. BIBM 2024: 1391-1396 - [c53]Yifei Chen, Weizhong Zhao, Xinhui Tu, Tingting He:
An Improved Prediction Model for Phage-host Interactions Based on Fusing Global and Local Semantics of RBP Information. BIBM 2024: 1449-1452 - [c52]Song Jiang, Haodong Wang, Yue Huang, Weizhong Zhao, Xianjun Shen:
Predicting Microbe-Disease Association Based on Enhanced Relational Graph Convolutional Networks. BIBM 2024: 1532-1535 - [c51]Wen Kong, Weizhong Zhao, Tingting He:
A Dual-Modal Contrastive Learning Framework for Antimicrobial Peptides Classification. BIBM 2024: 1548-1551 - [c50]Ruizhe Zhang, Yiting Shen, Chenlian Zhou, Weizhong Zhao, Xianjun Shen:
A Multimodal Joint Representation Framework for Microbe-drug Association Prediction. BIBM 2024: 2908-2913 - [c49]Kaijieyi Hou, Weizhong Zhao, Tingting He:
Physicochemical Property-guided Conditional VAE for Antimicrobial Peptides Generation. BIBM 2024: 3279-3282 - [c48]Xinzi Chen, Pei Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions. ISBRA (1) 2024: 196-211 - [c47]Xing Lv, Jie Deng, Weizhong Zhao, Xinhui Tu, Xingpeng Jiang:
A Hierarchical Classification Model for Annotating Antibacterial Biocide and Metal Resistance Genes via Fusing Global and Local Semantics. ISBRA (2) 2024: 398-409 - 2023
- [j29]Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu:
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion. Briefings Bioinform. 24(2) (2023) - [j28]Jiajia Wang, Weizhong Zhao, Xinhui Tu, Tingting He:
A novel dense retrieval framework for long document retrieval. Frontiers Comput. Sci. 17(4): 174609 (2023) - [j27]Weizhong Zhao, Jun Xia, Xingpeng Jiang, Tingting He:
A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms. Inf. Process. Manag. 60(1): 103114 (2023) - [j26]Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu:
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3635-3647 (2023) - [j25]Yue Wang, Han Sun, Haodong Wang, Dandan Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning With Multi-Head Attention Mechanism. IEEE J. Biomed. Health Informatics 27(6): 3061-3071 (2023) - [c46]Shengwei Ye, Weizhong Zhao, Xiaowei Xu, Xianjun Shen, Xingpeng Jiang, Tingting He:
Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm. BIBM 2023: 739-744 - [c45]Xueling Yuan, Weizhong Zhao, Xiaowei Xu, Xinhui Tu, Xingpeng Jiang, Tingting He:
An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation. BIBM 2023: 753-758 - [c44]Ruizhe Zhang, Dandan Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks. BIBM 2023: 984-987 - [c43]Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He:
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. BIBM 2023: 1643-1648 - [c42]Chengcheng Fu, Yanan Yao, Jieyu Wu, Weizhong Zhao, Tingting He, Xingpeng Jiang:
Multimodal reasoning for nutrition and human health via knowledge graph embedding. BIBM 2023: 1901-1904 - [c41]Yanan Yao, Tian Yu, Huanghan Zhan, Weizhong Zhao, Tingting He, Xingpeng Jiang:
Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning. BIBM 2023: 4465-4472 - [c40]Ling Zhuang, Po Hu, Weizhong Zhao:
Event Relation Extraction Using Type-Guided Attentive Graph Convolutional Networks. DASFAA (4) 2023: 3-20 - 2022
- [j24]Weizhong Zhao, Shujie Luo, Haifang Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling. Briefings Bioinform. 23(3) (2022) - [j23]Weizhong Zhao, Jinyong Zhang, Jincai Yang, Xingpeng Jiang, Tingting He:
Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2782-2793 (2022) - [c39]Pei Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network. BIBM 2022: 154-157 - [c38]Wenjie Yao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen, Tingting He:
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. BIBM 2022: 627-632 - [c37]Shengwei Ye, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He:
A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning. BIBM 2022: 633-638 - [c36]Xueling Yuan, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He:
Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network. BIBM 2022: 647-652 - [c35]Haodong Wang, Han Sun, Yue Wang, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning model. BIBM 2022: 840-843 - [c34]Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He:
A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. PAKDD (3) 2022: 365-378 - 2021
- [j22]Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li:
Efficient multiple biomedical events extraction via reinforcement learning. Bioinform. 37(13): 1891-1899 (2021) - [j21]Weizhong Zhao, Dandan Fang, Jinyong Zhang, Yao Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
An effective framework for semistructured document classification via hierarchical attention model. Int. J. Intell. Syst. 36(9): 5161-5183 (2021) - [j20]Weizhong Zhao, Jinyong Zhang, Jincai Yang, Tingting He, Huifang Ma, Zhixin Li:
A novel joint biomedical event extraction framework via two-level modeling of documents. Inf. Sci. 550: 27-40 (2021) - [j19]Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao, Zhi-Ping Shi:
A Semi-supervised Learning Approach Based on Adaptive Weighted Fusion for Automatic Image Annotation. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 37:1-37:23 (2021) - [c33]Yao Zhao, Weizhong Zhao, Xingpeng Jiang, Tingting He, Bianping Su:
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning. BIBM 2021: 619-624 - [c32]Weizhong Zhao, Huyen Le, James J. Chen, Hesha J. Duggirala, Richard Forshee, Taxiarchis Botsis, Henry Francis, Huixiao Hong, Weida Tong, Yi-Ting Hwang, Wen Zou:
Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches. BIBM 2021: 1197-1204 - [c31]Shujie Luo, Haifang Wu, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Triple-view Learning for Predicting Antibiotic Resistance Genes. BIBM 2021: 1433-1436 - [c30]Huyen Le, Junxiu Zhou, Weizhong Zhao, Roger Perkins, Weigong Ge, Beverly Lyn-Cook, Henry Francis, Huixiao Hong, Weida Tong, Wen Zou:
Text Fingerprinting and Topic Mining in the Prescription Opioid Use Literature. BIBM 2021: 2741-2748 - 2020
- [j18]Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He:
An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning. Int. J. Data Min. Bioinform. 23(3): 189-212 (2020) - [j17]Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li:
Improving social and behavior recommendations via network embedding. Inf. Sci. 516: 125-141 (2020) - [c29]Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. BIBM 2020: 375-380 - [c28]Jinyong Zhang, Weizhong Zhao, Jincai Yang, Xingpeng Jiang, Tingting He:
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts. BIBM 2020: 391-396 - [c27]Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li:
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases. BIBM 2020: 402-407
2010 – 2019
- 2019
- [j16]Jinxiang Xi, Weizhong Zhao, Jiayao Eddie Yuan, Biwei Cao, Linlin Zhao:
Corrigendum to "multi-resolution classification of exhaled aerosol images to detect obstructive lung diseases in small airways" [comput. Biol. Med. 87 (2017) 57-69]. Comput. Biol. Medicine 114 (2019) - [j15]Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He:
Grid-based DBSCAN: Indexing and inference. Pattern Recognit. 90: 271-284 (2019) - [c26]Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He:
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention. BIBM 2019: 583-589 - [c25]Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. IEEE BigData 2019: 1096-1102 - [c24]Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li:
SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. DASFAA (2) 2019: 555-571 - [c23]Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao:
Automatic Image Annotation based on Co-Training. IJCNN 2019: 1-8 - [c22]Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao:
Collaborating CNN and SVM for Automatic Image Annotation. ICMR 2019: 63-67 - 2018
- [c21]Huifang Ma, Di Zhang, Weizhong Zhao, Yanru Wang, Zhongzhi Shi:
Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation. ICDM 2018: 1158-1163 - 2017
- [j14]Jinxiang Xi, Weizhong Zhao, Jiayao Eddie Yuan, Biwei Cao, Linlin Zhao:
Multi-resolution classification of exhaled aerosol images to detect obstructive lung diseases in small airways. Comput. Biol. Medicine 87: 57-69 (2017) - [c20]Wen Zou, Weizhong Zhao, James J. Chen, Roger Perkins:
Best Setting of Model Parameters in Applying Topic Modeling on Textual Documents. BCB 2017: 588 - [c19]Weizhong Zhao, Gang Chen, Xiaowei Xu:
AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network Clustering. ICDM 2017: 665-674 - 2016
- [j13]Weizhong Zhao, James J. Chen, Roger Perkins, Yuping Wang, Zhichao Liu, Huixiao Hong, Weida Tong, Wen Zou:
A novel procedure on next generation sequencing data analysis using text mining algorithm. BMC Bioinform. 17: 213 (2016) - [j12]Weizhong Zhao, James J. Chen, Roger Perkins, Yuping Wang, Zhichao Liu, Huixiao Hong, Weida Tong, Wen Zou:
Erratum to: A novel procedure on next generation sequencing data analysis using text mining algorithm. BMC Bioinform. 17: 301 (2016) - [c18]Ming-Hua Chung, Gang Chen, Weizhong Zhao, Guohua Hao, Julian Pan, Xiaowei Xu:
Discovering Multiple Social Ties for Characterization of Individuals in Online Social Networks. ENIC 2016: 1-8 - 2015
- [j11]Weizhong Zhao, James J. Chen, Roger Perkins, Zhichao Liu, Weigong Ge, Yijun Ding, Wen Zou:
A heuristic approach to determine an appropriate number of topics in topic modeling. BMC Bioinform. 16(S13): S8 (2015) - [j10]Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi:
QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manag. 51(1): 25-41 (2015) - [c17]Huifang Ma, Meihuizi Jia, Weizhong Zhao, Xianghong Lin:
Semi-supervised Microblog Clustering Method via Dual Constraints. KSEM 2015: 360-369 - 2014
- [j9]Weizhong Zhao, Wen Zou, James J. Chen:
Topic modeling for cluster analysis of large biological and medical datasets. BMC Bioinform. 15(S-11): S11 (2014) - [c16]Weiqiang Sun, Weizhong Zhao, Wenjia Niu, Liang Chang:
A DBN-Based Classifying Approach to Discover the Internet Water Army. Intelligent Information Processing 2014: 78-89 - 2013
- [j8]Wen Zou, Hailin Tang, Weizhong Zhao, Joe Meehan, Steven L. Foley, Wei-Jiun Lin, Hung-Chia Chen, Hong Fang, Rajesh Nayak, James J. Chen:
Data mining tools for Salmonella characterization: application to gel-based fingerprinting analysis. BMC Bioinform. 14(S-14): S15 (2013) - [j7]Zhixin Li, Zhongzhi Shi, Weizhong Zhao, Zhiqing Li, Zhenjun Tang:
Learning semantic concepts from image database with hybrid generative/discriminative approach. Eng. Appl. Artif. Intell. 26(9): 2143-2152 (2013) - [j6]Huifang Ma, Weizhong Zhao, Zhongzhi Shi:
A nonnegative matrix factorization framework for semi-supervised document clustering with dual constraints. Knowl. Inf. Syst. 36(3): 629-651 (2013) - [c15]Venkata Swamy Martha, Weizhong Zhao, Xiaowei Xu:
h-MapReduce: A Framework for Workload Balancing in MapReduce. AINA 2013: 637-644 - [c14]Weizhong Zhao, Venkata Swamy Martha, Xiaowei Xu:
PSCAN: A Parallel Structural Clustering Algorithm for Big Networks in MapReduce. AINA 2013: 862-869 - [c13]Martha VenkataSwamy, Weizhong Zhao, Xiaowei Xu:
A study on Twitter user-follower network: a network based analysis. ASONAM 2013: 1405-1409 - [c12]Weizhong Zhao, Huifang Ma, Zmxin Li, Ning Li:
Supervised-LDA: A probabilistic topic model for collaborative filtering. ICMLC 2013: 646-652 - [c11]Weizhong Zhao, Venkata Swamy Martha, Gang Chen, Xiaowei Xu:
Fast Information Retrieval and Social Network Mining via Cosine Similarity Upper Bound. SocialCom 2013: 940-943 - 2012
- [j5]Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi:
Effective semi-supervised document clustering via active learning with instance-level constraints. Knowl. Inf. Syst. 30(3): 569-587 (2012) - [c10]Zhixin Li, Zhiping Shi, Zhengjun Tang, Weizhong Zhao:
A Novel Model for Semantic Learning and Retrieval of Images. Intelligent Information Processing 2012: 337-346 - [c9]Zhixin Li, Weizhong Zhao, Zhiqing Li, Zhiping Shi:
Automatic Image Annotation and Retrieval Using Hybrid Approach. Intelligent Information Processing 2012: 347-356 - 2011
- [j4]Qing Tan, Qing He, Weizhong Zhao, Zhongzhi Shi, E. Stanley Lee:
An improved FCMBP fuzzy clustering method based on evolutionary programming. Comput. Math. Appl. 61(4): 1129-1144 (2011) - [j3]Ping Wan, Jun Wu, Yuan Zhou, Junshu Xiao, Jie Feng, Weizhong Zhao, Shen Xiang, Guanglong Jiang, Jake Y. Chen:
Computational Analysis of Drought Stress-Associated miRNAs and miRNA Co-Regulation Network in Physcomitrella patens. Genom. Proteom. Bioinform. 9(1-2): 37-44 (2011) - [j2]Qing He, Weizhong Zhao, Zhongzhi Shi:
CHSMST: a clustering algorithm based on hyper surface and minimum spanning tree. Soft Comput. 15(6): 1097-1103 (2011) - [c8]Weizhong Zhao, Huifang Ma, Qing He, Zhongzhi Shi:
The improved non-negative Matrix Factorization algorithm for document clustering. FSKD 2011: 1836-1839 - [c7]Weizhong Zhao, Huifang Ma, Ning Li:
A new non-negative matrix factorization algorithm with sparseness constraints. ICMLC 2011: 1449-1452 - 2010
- [c6]Huifang Ma, Weizhong Zhao, Qing Tan, Zhongzhi Shi:
Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering. PAKDD (2) 2010: 189-200
2000 – 2009
- 2009
- [c5]Huifang Ma, Weizhong Zhao, Zhixin Li, Zhongzhi Shi:
IPHITS: An Incremental Latent Topic Model for Link Structure. AIRS 2009: 242-253 - [c4]Weizhong Zhao, Huifang Ma, Qing He:
Parallel K-Means Clustering Based on MapReduce. CloudCom 2009: 674-679 - [c3]Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi:
Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering. Web Intelligence 2009: 264-268 - 2008
- [c2]Elfed Lewis, John Clifford, Colin Fitzpatrick, Gerard Dooly, Weizhong Zhao, Tong Sun, K. T. V. Grattan, James Lucas, Martin Degner, Hartmut Ewald, Steffen Lochmann, Gero Bramann, Edoardo Merlone-Borla, Flavio Gili:
Monitoring of Environmentally Hazardous Exhaust Emissions from Cars Using Optical Fibre Sensors. SAMOS 2008: 238-247 - 2007
- [j1]Eamonn Hawe, Gerard Dooly, Colin Fitzpatrick, Paul Chambers, Elfed Lewis, Weizhong Zhao, Tong Sun, K. T. V. Grattan, Martin Degner, Hartmut Ewald, Steffen Lochmann, G. Bramman, C. Wei, D. Hitchen, James Lucas, Ahmed Al-Shamma'a, Edoardo Merlone-Borla, P. Faraldi, M. Pidria:
Measuring of exhaust gas emissions using absorption spectroscopy. Int. J. Intell. Syst. Technol. Appl. 3(1/2): 33-51 (2007) - 2005
- [c1]Xifan Shi, Weizhong Zhao, Yonghang Shen:
Automatic License Plate Recognition System Based on Color Image Processing. ICCSA (4) 2005: 1159-1168
Coauthor Index
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