Jiajin Huang

发表

Using Market Value Functions for Targeted Marketing Data Mining

Jiajin Huang, Chunnian Liu, Ning Zhong, 2002, Int. J. Pattern Recognit. Artif. Intell..

Data Mining for Targeted Marketing

Yiyu Yao, Ning Zhong, Chunnian Liu, 2004 .

Classifying the tracing difficulty of 3D neuron image blocks based on deep learning

B. Yang, Jiajin Huang, Gao-wei Wu, 2021, Brain Informatics.

Systematic Fusion of Multi-Source Cognitive Networks With Graph Learning - A Study on Fronto-Parietal Network

P. Liang, Jiajin Huang, Jianhui Chen, 2022, Frontiers in Neuroscience.

Resting EEG Features and Their Application in Depressive Disorders

Minghui Zhang, Ning Zhong, Lei Feng, 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Cost-sensitive three-way recommendations by learning pair-wise preferences

Jian Wang, Jiajin Huang, Ning Zhong, 2017, Int. J. Approx. Reason..

Single-Channel EEG-Based Machine Learning Method for Prescreening Major Depressive Disorder

Zhijiang Wan, Ning Zhong, Hao Zhang, 2019, Int. J. Inf. Technol. Decis. Mak..

Human Emotion Recognition with Electroencephalographic Multidimensional Features by Hybrid Deep Neural Networks

Youjun Li, Ning Zhong, Jiajin Huang, 2017 .

Attribute reduction of rough sets in mining market value functions

Yiyu Yao, Ning Zhong, Jiajin Huang, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

On Data Mining for Direct Marketing

Ning Zhong, Chunnian Liu, Chuangxin Ou, 2003, RSFDGrC.

Granular Structures Induced by Interval Sets and Rough Sets

Ning Zhong, Jiajin Huang, N. Zhong, 2015, RSFDGrC.

HybridEEGNet: A Convolutional Neural Network for EEG Feature Learning and Depression Discrimination

Zhijiang Wan, Ning Zhong, Jie Yang, 2020, IEEE Access.

Connectivity Shifted Cerebral Regions as Seeds for Mental Arithmetic Cognitive State Classification

Yang Yang, Ning Zhong, Xiaofei Zhang, 2019, 2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM).

Applying Python in Brain Science Education

Yang Yang, Ning Zhong, Xiaofei Zhang, 2019, 2019 International Joint Conference on Information, Media and Engineering (IJCIME).

Hybrid tree model for root cause analysis of wireless network fault localization

Bin Chen, Jiajin Huang, Z. Wan, 2022, Web Intell..

Identifying Influential Nodes in Complex Networks: A Multiple Attributes Fusion Method

Zili Zhang, Chao Gao, Ning Shi, 2014, AMT.

Preference Structure and Similarity Measure in Tag-Based Recommender Systems

Ning Zhong, Jiajin Huang, Xi Yuan, 2013, AMT.

An Adaptive Method for the Tag-Rating-Based Recommender System

Jiajin Huang, Xi Yuan, Jiajin Huang, 2012, AMT.

Exploring highly reliable substructures in auto-reconstructions of a neuron

Jiajin Huang, Yishan He, Gaowei Wu, 2021, Brain Informatics.

A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation

Jiajin Huang, Chao Gao, Qi Xuan, 2022, WWW.

Detecting depression using an ensemble classifier based on Quality of Life scales

Jiajin Huang, Xiaohui Tao, Oliver Chi, 2021, Brain Informatics.

Integrating information by Kullback–Leibler constraint for text classification

Jiajin Huang, Chao Gao, Peican Zhu, 2023, Neural Computing and Applications.

Leveraging Reconstructive Profiles of Users and Items for Tag-Aware Recommendation

Ning Zhong, Jiajin Huang, Zhaoqiang Li, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Exploiting Group Pairwise Preference Influences for Recommendations

Ning Zhong, Jiajin Huang, Kunlei Zhu, 2016, IJCRS.

A UNIFIED FRAMEWORK OF TARGETED MARKETING USING CUSTOMER PREFERENCES

Yiyu Yao, Ning Zhong, Jiajin Huang, 2014, Comput. Intell..

Modeling Recommender Systems from Preference and Set-Oriented Perspectives

Jia-jin Huang, Jiajin Huang, 2012 .

Improving hypergraph convolution network collaborative filtering with feature crossing and contrastive learning

Jiajin Huang, Huanhuan Yuan, Jian Yang, 2022, Applied Intelligence.

GCN-ICF: Graph Convolution Networks for Item-based Recommendation

Jin Qin, Jiajin Huang, Kai Deng, 2020, 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

HybridGNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based Recommendation

Jiajin Huang, Kai Deng, Jin Qin, 2020, 2020 International Conference on Data Mining Workshops (ICDMW).

Medication Combination Prediction Using Temporal Attention Mechanism and Simple Graph Convolution

Jiming Liu, Yue Deng, Fan Zhang, 2021, IEEE Journal of Biomedical and Health Informatics.

Suitable Route Recommendation Inspired by Cognition

Hui Wang, Ning Zhong, Zhisheng Huang, 2016, Semantic Web Technologies for Intelligent Engineering Applications.

Cognition-inspired route evaluation using mobile phone data

Zhisheng Huang, Jiajin Huang, Erzhong Zhou, 2015, Natural Computing.

Modeling Tag-Aware Recommendations Based on User Preferences

Yiyu Yao, Ning Zhong, Xi Yuan, 2015, Int. J. Inf. Technol. Decis. Mak..

Self-supervised group meiosis contrastive learning for EEG-based emotion recognition

Jiajin Huang, Jiale Yu, Haoning Kan, 2022, Applied Intelligence.

The Spontaneous Behavior in Extreme Events: A Clustering-Based Quantitative Analysis

Zili Zhang, Chao Gao, Ning Shi, 2013, ADMA.

Classification of Mental Arithmetic Cognitive States Based on CNN and FBN

Yang Yang, Xiaofei Zhang, Ning Zhong, 2019, BI.

EEGformer: A transformer–based brain activity classification method using EEG signal

Jiajin Huang, Wenfeng Duan, Z. Wan, 2023, Frontiers in Neuroscience.

A probabilistic inference model for recommender systems

N. Zhong, Jiajin Huang, Kunlei Zhu, 2016, Applied intelligence (Boston).

A Unified Probabilistic Inference Model for Targeted Marketing

Ning Zhong, Jiajin Huang, N. Zhong, 2008, Communications and Discoveries from Multidisciplinary Data.

GPS-Based Location Recommendation Using a Belief Network Model

Ning Zhong, Jiajin Huang, Kunlei Zhu, 2015, KSEM.

A self-organization method for discovering communities in a distributed network

Jiajin Huang, Xiaolong Guo, Jiajin Huang, 2013, 2013 Ninth International Conference on Natural Computation (ICNC).

A Context-Aware Recommender System with a Cognition Inspired Model

Ning Zhong, Liangliang Zhao, Jiajin Huang, 2014, RSKT.