Yanmin Shang

Orcid: 0000-0002-0106-0676

According to our database1, Yanmin Shang authored at least 32 papers between 2009 and 2025.

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

Timeline

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Bibliography

2025
A data-centric framework of improving graph neural networks for knowledge graph embedding.
World Wide Web (WWW), January, 2025

2024
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.
World Wide Web (WWW), May, 2024

2023
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.
ACM Trans. Inf. Syst., October, 2023

Multi-Aspect Heterogeneous Graph Augmentation.
Proceedings of the ACM Web Conference 2023, 2023

2022
API-GNN: attribute preserving oriented interactive graph neural network.
World Wide Web, 2022

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.
CoRR, 2022

H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Task-level Relations Modelling for Graph Meta-learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
RLINK: Deep reinforcement learning for user identity linkage.
World Wide Web, 2021

Fake News Detection with Heterogenous Deep Graph Convolutional Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Data Augmentation for Insider Threat Detection with GAN.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

DDNE: Discriminative Distance Metric Learning for Network Embedding.
Proceedings of the Computational Science - ICCS 2020, 2020

Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RLINK: Deep Reinforcement Learning for User Identity Linkage.
CoRR, 2019

UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation.
Proceedings of the Knowledge Science, Engineering and Management, 2019

PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Attention-Based LSTM for Insider Threat Detection.
Proceedings of the Applications and Techniques in Information Security, 2019

2018
Insider Threat Detection with Deep Neural Network.
Proceedings of the Computational Science - ICCS 2018, 2018

Adversarial Reinforcement Learning for Chinese Text Summarization.
Proceedings of the Computational Science - ICCS 2018, 2018

Hierarchical Attention Networks for User Profile Inference in Social Media Systems.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network.
Proceedings of the Knowledge Science, Engineering and Management, 2017

A co-training method for identifying the same person across social networks.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
FTM: Recommending the Right Items for User Temporal Interests with Matrix Factorization through Topic Model.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2013
A New Interest-Sensitive and Network-Sensitive Method for User Recommendation.
Proceedings of the IEEE Eighth International Conference on Networking, 2013

Behavioral targeting with social regularization.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction.
Proceedings of the International Conference on Computational Science, 2013

2012
An Improve Genetic Algorithm Based on Fixed Point Algorithms.
J. Comput., 2012

2009
An Improved Genetic Algorithm Based on J1 Subdivision and Fixed Point.
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

An Improved Genetic Algorithm Based on Subdivision Theory.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

An Improved Genetic Algorithm Based on hK1 Subdivision and Fixed Point.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009


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