Min Gao

Affiliations:
  • Chongqing University, School of Software Engineering, China (PhD 2010)


According to our database1, Min Gao authored at least 73 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2021
Krylov Subspace Methods for Regularized Models in Acoustic Temperature Reconstruction From Simulated and Real Measurements.
IEEE Trans. Instrum. Meas., 2021

Multiple-element joint detection for Aspect-Based Sentiment Analysis.
Knowl. Based Syst., 2021

A relative position attention network for aspect-based sentiment analysis.
Knowl. Inf. Syst., 2021

Fusing hypergraph spectral features for shilling attack detection.
J. Inf. Secur. Appl., 2021

Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack.
Inf. Sci., 2021

Recommender systems based on generative adversarial networks: A problem-driven perspective.
Inf. Sci., 2021

Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling.
Neurocomputing, 2021

Residual attention and other aspects module for aspect-based sentiment analysis.
Neurocomputing, 2021

Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification.
Expert Syst. Appl., 2021

Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack.
CoRR, 2021

Socially-Aware Self-Supervised Tri-Training for Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing.
Proceedings of the International Joint Conference on Neural Networks, 2021

MSPLD: Shilling Attack Detection Model Based on Meta Self-Paced Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

DAFD: Domain Adaptation Framework for Fake News Detection.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Manipulating Black-Box Networks for Centrality Promotion.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning.
Proceedings of the ICC 2021, 2021

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System.
Proceedings of the IEEE International Conference on Services Computing, 2021

2020
Multi-view heterogeneous fusion and embedding for categorical attributes on mixed data.
Soft Comput., 2020

Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges.
CoRR, 2020

Enhance Social Recommendation with Adversarial Graph Convolutional Networks.
CoRR, 2020

LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-modal cyberbullying detection on social networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

JUST-BPR: Identify Implicit Friends with Jump and Stay for Social Recommendation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Robustness Analysis of Triangle Relations Attack in Social Recommender Systems.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
Using fine-tuned conditional probabilities for data transformation of nominal attributes.
Pattern Recognit. Lett., 2019

From similarity perspective: a robust collaborative filtering approach for service recommendations.
Frontiers Comput. Sci., 2019

A Minimax Game for Generative and Discriminative Sample Models for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Method for Two-Dimensional Temperature Distribution Reconstruction Using Compactly Supported and Gaussian Radial Basis Function.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

A Novel Random Forest and its Application on Classification of Air Quality.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Tourism Service Recommendation Based on User Influence in Social Networks and Time Series.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018
Applications of Formal And Semi-formal Verification on Software Testing, High-level Synthesis And Energy Internet.
PhD thesis, 2018

融合矩阵分解与距离度量学习的社会化推荐算法 (Social Recommendation Method Integrating Matrix Factorization and Distance Metric Learning).
计算机科学, 2018

Detection of Shilling Attack Based on Bayesian Model and User Embedding.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Social Recommendation Based on Implicit Friends Discovering Via Meta-Path.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side.
IEEE Trans. Netw. Serv. Manag., 2017

The Performance of Location Aware Shilling Attacks in Web Service Recommendation.
Int. J. Web Serv. Res., 2017

A Social Recommender Based on Factorization and Distance Metric Learning.
IEEE Access, 2017

Connecting Factorization and Distance Metric Learning for Social Recommendations.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Social recommendation using Euclidean embedding.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Important User Group Based Web Service Recommendation.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

PUD: Social Spammer Detection Based on PU Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Attention Aware Semi-supervised Framework for Sentiment Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Impact of the Important Users on Social Recommendation System.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Integrating User Embedding and Collaborative Filtering for Social Recommendations.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Collaborative Shilling Detection Bridging Factorization and User Embedding.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Visual and Audio Aware Bi-Modal Video Emotion Recognition.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Receding horizon guaranteed cost control for norm-bounded uncertain systems with actuator saturation.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016
SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems.
Neurocomputing, 2016

Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis.
IEICE Trans. Inf. Syst., 2016

Video Recognition of Human Fall Based on Spatiotemporal Features.
Intell. Autom. Soft Comput., 2016

Research Fronts of Robust Social Recommendation.
Proceedings of the 9th International Conference on Service Science, 2016

LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems.
Proceedings of the IEEE International Conference on Web Services, 2016

Robust Social Recommendation Techniques: A Review.
Proceedings of the Socially Aware Organisations and Technologies. Impact and Challenges, 2016

2015
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2015

2014
A Hybrid Trust Degree Model in Social Network for Recommender System.
Proceedings of the IIAI 3rd International Congress on Advanced Applied Informatics, 2014

2012
User-Weight Model for Item-based Recommendation Systems.
J. Softw., 2012

2011
Userrank for item-based collaborative filtering recommendation.
Inf. Process. Lett., 2011

2010
Incorporating Personalized Contextual Information in Item-based Collaborative Filtering Recommendation.
J. Softw., 2010

Personalisation in web computing and informatics: Theories, techniques, applications, and future research.
Inf. Syst. Frontiers, 2010

2009
EPN-Based Web Service Composition Approach.
Proceedings of the Web Information Systems and Mining, International Conference, 2009

Personalized Context-Aware Collaborative Filtering Based on Neural Network and Slope One.
Proceedings of the Cooperative Design, 2009

2008
An EPN-based Method for Web Service Composition.
Proceedings of The 2008 IEEE International Conference on Networking, 2008


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