Jiajin Huang - Citegraph

Author Info

Name	Affiliation	Papers
JIAJIN HUANG	College of Computer Science and Technology, Beijing University of Technology, Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, 100022 Beijing, China	40
Collaborators	Citations	PageRank
59	69	15.70
Referers	Referees	References
141	753	384

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100753

Publications (40 rows)

Collaborators (59 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Medication Combination Prediction Using Temporal Attention Mechanism and Simple Graph Convolution	1	0.37	2021
Box4Rec: Box Embedding for Sequential Recommendation	0	0.34	2021
HybridGNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based Recommendation	0	0.34	2020
Hybrideegnet: A Convolutional Neural Network For Eeg Feature Learning And Depression Discrimination	1	0.36	2020
GCN-ICF: Graph Convolution Networks for Item-based Recommendation	0	0.34	2020
Adversarial Auto-Encoder For Rating Prediction With Ratings And Reviews	0	0.34	2020
Single-Channel Eeg-Based Machine Learning Method For Prescreening Major Depressive Disorder	0	0.34	2019
Rating Prediction in Review-Based Recommendations via Adversarial Auto-Encoder	1	0.35	2018
Leveraging Reconstructive Profiles Of Users And Items For Tag-Aware Recommendation	0	0.34	2018
Exploiting item-item relations to improve review-based rating prediction.	0	0.34	2018
Resting EEG Features and Their Application in Depressive Disorders	0	0.34	2018
Exploiting user and item embedding in latent factor models for recommendations	0	0.34	2017
A Physarum-inspired optimization algorithm for load-shedding problem.	5	0.42	2017
A Poisson Regression Method for Top-N Recommendation	0	0.34	2017
Cost-sensitive three-way recommendations by learning pair-wise preferences.	10	0.49	2017
Human Emotion Variation Analysis Based On Eeg Signal And Poms Scale	1	0.35	2016
Leveraging Item Connections to Improve Social Recommendations with Ratings and Reviews.	0	0.34	2016
A probabilistic inference model for recommender systems.	3	0.36	2016
An intelligent monitoring system for the safety of building structure under the W2T framework	0	0.34	2015
Unifying Geographical Influence in Recommender Systems via Matrix Factorization	1	0.35	2015
A Smart Hospital Information System for Mental Disorders.	1	0.34	2015
Cognition-inspired route evaluation using mobile phone data	0	0.34	2015
GPS-Based Location Recommendation Using a Belief Network Model.	1	0.35	2015
Detecting Stay Areas from a User's Mobile Phone Data for Urban Computing.	0	0.34	2014
A UNIFIED FRAMEWORK OF TARGETED MARKETING USING CUSTOMER PREFERENCES	4	0.39	2014
Identifying Influential Nodes in Complex Networks: A Multiple Attributes Fusion Method.	1	0.40	2014
A self-organization method for discovering communities in a distributed network	1	0.37	2013
Semantically Modeling Mobile Phone Data for Urban Computing	0	0.34	2013
The Spontaneous Behavior in Extreme Events: A Clustering-Based Quantitative Analysis.	1	0.49	2013
Preference Structure and Similarity Measure in Tag-Based Recommender Systems	0	0.34	2013
An adaptive method for the tag-rating-based recommender system	0	0.34	2012
A self-organization method for reorganizing resources in a distributed network	0	0.34	2012
Hot topic detection in news blogs from the perspective of w2t	0	0.34	2012
A Human-Web Interaction Based Trust Model for Trustworthy Web Software Development	0	0.34	2008
A general framework of targeted marketing	1	0.35	2005
Relational Peculiarity Oriented Data Mining	8	0.51	2004
TMS: Targeted Marketing System Based on Market Value Functions	0	0.34	2004
Adaptive Linear Market Value Functions for Targeted Marketing	2	0.41	2004
Attribute reduction of rough sets in mining market value functions	7	0.60	2003
Using Market Value Functions For Targeted Marketing Data Mining	19	1.35	2002