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Weizhong Zhao
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2020 – today
- 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) - [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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