Weizhong Zhao

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 52

Top Topics

Image Annotation

Document Classification

Relation Extraction

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

Publications

Qiang Zhu, Cheng Hong, Yajie Meng, Huali Yang, Weizhong Zhao
Joint extraction of biomedical overlapping triples through feature partition encoding. Expert Syst. Appl. 241 (2024)
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) (2024)
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)
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) (2024)
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)
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)
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)
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)
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)
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) (2023)
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)
Ling Zhuang, Po Hu, Weizhong Zhao
Event Relation Extraction Using Type-Guided Attentive Graph Convolutional Networks. DASFAA (4) (2023)
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)
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) (2023)
Shengwei Ye, Weizhong Zhao, Xiaowei Xu, Xianjun Shen, Xingpeng Jiang, Tingting He
Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm. BIBM (2023)
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) (2023)
Jiajia Wang, Weizhong Zhao, Xinhui Tu, Tingting He
A novel dense retrieval framework for long document retrieval. Frontiers Comput. Sci. 17 (4) (2023)
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) (2022)
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)
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)
Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He
A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. PAKDD (3) (2022)
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)
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)
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)
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)
Shujie Luo, Haifang Wu, Weizhong Zhao, Xingpeng Jiang, Tingting He
Triple-view Learning for Predicting Antibiotic Resistance Genes. BIBM (2021)
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)
Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li
Efficient multiple biomedical events extraction via reinforcement learning. Bioinform. 37 (13) (2021)
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)
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) (2021)
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)
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) (2021)
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 (2021)
Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. BIBM (2020)
Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li
Improving social and behavior recommendations via network embedding. Inf. Sci. 516 (2020)
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)
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) (2020)
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)
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)
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)
Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao
Collaborating CNN and SVM for Automatic Image Annotation. ICMR (2019)
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)
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)
Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He
Grid-based DBSCAN: Indexing and inference. Pattern Recognit. 90 (2019)
Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao
Automatic Image Annotation based on Co-Training. IJCNN (2019)
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)
Wen Zou, Weizhong Zhao, James J. Chen, Roger Perkins
Best Setting of Model Parameters in Applying Topic Modeling on Textual Documents. BCB (2017)
Weizhong Zhao, Gang Chen, Xiaowei Xu
AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network Clustering. ICDM (2017)
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 (2017)
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)
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 (2016)
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 (2016)
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) (2015)
Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi
QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manag. 51 (1) (2015)
Huifang Ma, Meihuizi Jia, Weizhong Zhao, Xianghong Lin
Semi-supervised Microblog Clustering Method via Dual Constraints. KSEM (2015)
Weizhong Zhao, Wen Zou, James J. Chen
Topic modeling for cluster analysis of large biological and medical datasets. BMC Bioinform. 15 (S-11) (2014)
Weiqiang Sun, Weizhong Zhao, Wenjia Niu, Liang Chang
A DBN-Based Classifying Approach to Discover the Internet Water Army. Intelligent Information Processing (2014)
Martha VenkataSwamy, Weizhong Zhao, Xiaowei Xu
A study on Twitter user-follower network: a network based analysis. ASONAM (2013)
Venkata Swamy Martha, Weizhong Zhao, Xiaowei Xu
h-MapReduce: A Framework for Workload Balancing in MapReduce. AINA (2013)
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) (2013)
Weizhong Zhao, Venkata Swamy Martha, Xiaowei Xu
PSCAN: A Parallel Structural Clustering Algorithm for Big Networks in MapReduce. AINA (2013)
Weizhong Zhao, Venkata Swamy Martha, Gang Chen, Xiaowei Xu
Fast Information Retrieval and Social Network Mining via Cosine Similarity Upper Bound. SocialCom (2013)
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) (2013)
Weizhong Zhao, Huifang Ma, Zmxin Li, Ning Li
Supervised-LDA: A probabilistic topic model for collaborative filtering. ICMLC (2013)
Huifang Ma, Weizhong Zhao, Zhongzhi Shi
A nonnegative matrix factorization framework for semi-supervised document clustering with dual constraints. Knowl. Inf. Syst. 36 (3) (2013)
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) (2012)
Zhixin Li, Weizhong Zhao, Zhiqing Li, Zhiping Shi
Automatic Image Annotation and Retrieval Using Hybrid Approach. Intelligent Information Processing (2012)
Zhixin Li, Zhiping Shi, Zhengjun Tang, Weizhong Zhao
A Novel Model for Semantic Learning and Retrieval of Images. Intelligent Information Processing (2012)
Weizhong Zhao, Huifang Ma, Ning Li
A new non-negative matrix factorization algorithm with sparseness constraints. ICMLC (2011)
Weizhong Zhao, Huifang Ma, Qing He, Zhongzhi Shi
The improved non-negative Matrix Factorization algorithm for document clustering. FSKD (2011)
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) (2011)
Qing He, Weizhong Zhao, Zhongzhi Shi
CHSMST: a clustering algorithm based on hyper surface and minimum spanning tree. Soft Comput. 15 (6) (2011)
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) (2011)
Huifang Ma, Weizhong Zhao, Qing Tan, Zhongzhi Shi
Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering. PAKDD (2) (2010)
Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi
Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering. Web Intelligence (2009)
Weizhong Zhao, Huifang Ma, Qing He
-Means Clustering Based on MapReduce. CloudCom (2009)
Huifang Ma, Weizhong Zhao, Zhixin Li, Zhongzhi Shi
IPHITS: An Incremental Latent Topic Model for Link Structure. AIRS (2009)
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)
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, A. 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) (2007)
Xifan Shi, Weizhong Zhao, Yonghang Shen
Automatic License Plate Recognition System Based on Color Image Processing. ICCSA (4) (2005)