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ORCIDJiajing Zhu
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2020 – today
- 2025
[j22]Yun Zhang, Yongguo Liu, Jiajing Zhu, Zhi Chen, Fengli Zhang:
FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation. Expert Syst. Appl. 262: 125589 (2025)- [j21]Chengwei Wu, Yupeng Zhu, Lezhong Xu, Hongming Zhu, Quanqi Zhang, Jiajing Zhu, Weiran Yao:
Attack detection and security control for quadrotor under stealthy attacks. Syst. Control. Lett. 197: 106031 (2025) - [j20]Zhi Chen
, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu:
Enhanced Multimodal Low-Rank Embedding-Based Feature Selection Model for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 44(2): 815-827 (2025) - 2024
- [j19]Hengjie Zheng, Yongguo Liu, Shangming Yang, Yun Zhang, Jiajing Zhu, Zhi Chen:
HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation. Neural Process. Lett. 56(2): 53 (2024) - [j18]Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu:
Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis. IEEE Trans. Image Process. 33: 2730-2745 (2024) - 2023
- [j17]Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Kun She, Rongsheng Tong:
DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction. Expert Syst. Appl. 215: 119312 (2023) - [j16]Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Zhi Chen, Lang Liu, Shangming Yang, Juan Li, Rongjiang Jin, Jing Tao, Lidian Chen:
A motion recognition model for upper-limb rehabilitation exercises. J. Ambient Intell. Humaniz. Comput. 14(12): 16795-16805 (2023) - [j15]Shigang Yang, Yongguo Liu, Yun Zhang, Jiajing Zhu:
A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification. Neural Process. Lett. 55(1): 735-750 (2023) - [c7]Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu:
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract. ICDE 2023: 3841-3842 - [c6]Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li:
A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels. ICONIP (3) 2023: 172-185 - 2022
- [j14]Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu:
Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10129-10144 (2022) - [j13]Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu:
Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction. IEEE Trans. Fuzzy Syst. 30(12): 5297-5311 (2022) - [j12]Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu:
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction. IEEE Trans. Knowl. Data Eng. 34(1): 271-285 (2022) - 2021
- [j11]Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Qiaoqin Li, Rongjiang Jin, Xia He:
Deep Multiple Metric Learning for Time Series Classification. IEEE Access 9: 17829-17842 (2021) - [j10]Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Rongjiang Jin, Xia He, Jing Tao, Lidian Chen:
Time-frequency deep metric learning for multivariate time series classification. Neurocomputing 462: 221-237 (2021) - [j9]Yun Zhang, Yongguo Liu, Jiajing Zhu, Xindong Wu:
FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1702-1716 (2021) - [j8]Jiajing Zhu, Yongguo Liu, Yun Zhang, Dongxiao Li:
Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction. IEEE J. Biomed. Health Informatics 25(7): 2820-2832 (2021) - 2020
- [j7]Yun Zhang, Yongguo Liu, Jiajing Zhu, Changhong Yang, Wen Yang, Shuangqing Zhai:
NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection. IEEE Access 8: 46642-46664 (2020) - [j6]Yun Zhang, Yongguo Liu, Jiajing Zhu, Shuangqing Zhai, Rongjiang Jin, Chuanbiao Wen:
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. Comput. Math. Methods Medicine 2020: 1862168:1-1862168:23 (2020) - [j5]Jiajing Zhu, Yongguo Liu, Hao Wu, Zhi Chen, Yun Zhang, Shangming Yang, Changhong Yang, Wen Yang, Xindong Wu:
A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks. Inf. Sci. 518: 95-112 (2020) - [j4]Jiajing Zhu, Yongguo Liu, Chuanbiao Wen:
MTMA: Multi-task multi-attribute learning for the prediction of adverse drug-drug interaction. Knowl. Based Syst. 199: 105978 (2020)
2010 – 2019
- 2019
- [j3]Zhushun Ding, Feng Zhao, Yuedong Lang, Zhe Jiang, Jiajing Zhu:
Anti-Disturbance Neural-Sliding Mode Control for Inertially Stabilized Platform With Actuator Saturation. IEEE Access 7: 92220-92231 (2019) - [j2]Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Yonghua Xiao, Hao Wu, Xiaofeng Liu, Zijie Chen, Shuangqing Zhai:
ANDERATION: A New Anti-Community Detection Algorithm and its Application to Explore Incompatibility of Traditional Chinese Medicine. IEEE Access 7: 113975-113987 (2019) - [j1]Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Qiaoqin Li, Shangming Yang, Xiaofeng Liu, Shuangqing Zhai, Yi Zhang, Chuanbiao Wen:
IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. Neurocomputing 338: 207-221 (2019) - [c5]Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai:
Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. CIKM 2019: 1011-1020 - 2018
- [c4]Jiajing Zhu, Yongguo Liu, Shangming Yang, Shuangqing Zhai, Zhang Yi, Chuanbiao Wen:
A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine. CIKM 2018: 1799-1802
2000 – 2009
- 2002
- [b1]Jiajing Zhu:
Programming and Compiling for Distributed Architectures. University of Illinois Urbana-Champaign, USA, 2002 - [c3]Rudolf Eigenmann, Jay P. Hoeflinger, Robert H. Kuhn, David A. Padua, Ayon Basumallik, Seung-Jai Min, Jiajing Zhu:
Is OpenMP for Grids?. IPDPS 2002 - 2001
- [c2]Jiajing Zhu, Jay P. Hoeflinger, David A. Padua:
A synthesis of memory mechanisms for distributed architectures. ICS 2001: 13-22 - [c1]Jiajing Zhu, Jay P. Hoeflinger, David A. Padua:
Compiling for a Hybrid Programming Model Using the LMAD Representation. LCPC 2001: 321-335
Coauthor Index
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