Jiajing Zhu

According to our database, Jiajing Zhu authored at least 27 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation.

Hengjie Zheng, Yongguo Liu, Shangming Yang, Yun Zhang, Jiajing Zhu, Zhi Chen

Neural Process. Lett., April, 2024

Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis.

Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu

IEEE Trans. Image Process., 2024

2023

A motion recognition model for upper-limb rehabilitation exercises.

Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Zhi Chen, Lang Liu, Shangming Yang, Juan Li, Rongjiang Jin, Jing Tao, Lidian Chen

J. Ambient Intell. Humaniz. Comput., December, 2023

DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Kun She, Rongsheng Tong

Expert Syst. Appl., April, 2023

A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification.

Shigang Yang, Yongguo Liu, Yun Zhang, Jiajing Zhu

Neural Process. Lett., February, 2023

A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels.

Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract.

Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction.

Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2022

Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu

IEEE Trans. Fuzzy Syst., 2022

Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Dongxiao Li

IEEE J. Biomed. Health Informatics, 2021

FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Xindong Wu

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Time-frequency deep metric learning for multivariate time series classification.

Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Rongjiang Jin, Xia He, Jing Tao, Lidian Chen

Neurocomputing, 2021

Deep Multiple Metric Learning for Time Series Classification.

Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Qiaoqin Li, Rongjiang Jin, Xia He

IEEE Access, 2021

2020

MTMA: Multi-task multi-attribute learning for the prediction of adverse drug-drug interaction.

Jiajing Zhu, Yongguo Liu, Chuanbiao Wen

Knowl. Based Syst., 2020

A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks.

Jiajing Zhu, Yongguo Liu, Hao Wu, Zhi Chen, Yun Zhang, Shangming Yang, Changhong Yang, Wen Yang, Xindong Wu

Inf. Sci., 2020

A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Shuangqing Zhai, Rongjiang Jin, Chuanbiao Wen

Comput. Math. Methods Medicine, 2020

NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Changhong Yang, Wen Yang, Shuangqing Zhai

IEEE Access, 2020

2019

IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Qiaoqin Li, Shangming Yang, Xiaofeng Liu, Shuangqing Zhai, Yi Zhang, Chuanbiao Wen

Neurocomputing, 2019

ANDERATION: A New Anti-Community Detection Algorithm and its Application to Explore Incompatibility of Traditional Chinese Medicine.

Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Yonghua Xiao, Hao Wu, Xiaofeng Liu, Zijie Chen, Shuangqing Zhai

IEEE Access, 2019

Anti-Disturbance Neural-Sliding Mode Control for Inertially Stabilized Platform With Actuator Saturation.

Zhushun Ding, Feng Zhao, Yuedong Lang, Zhe Jiang, Jiajing Zhu

IEEE Access, 2019

Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine.

Jiajing Zhu, Yongguo Liu, Shangming Yang, Shuangqing Zhai, Zhang Yi, Chuanbiao Wen

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2002

Programming and Compiling for Distributed Architectures

Jiajing Zhu

PhD thesis, 2002

Is OpenMP for Grids?.

Rudolf Eigenmann, Jay P. Hoeflinger, Robert H. Kuhn, David A. Padua, Ayon Basumallik, Seung-Jai Min, Jiajing Zhu

Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

2001

Compiling for a Hybrid Programming Model Using the LMAD Representation.

Jiajing Zhu, Jay P. Hoeflinger, David A. Padua

Proceedings of the Languages and Compilers for Parallel Computing, 2001

A synthesis of memory mechanisms for distributed architectures.

Jiajing Zhu, Jay P. Hoeflinger, David A. Padua

Proceedings of the 15th international conference on Supercomputing, 2001