Li Liu
Orcid: 0000-0002-8929-4871Affiliations:
- Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China (PhD 2016)
- Kunming University of Science and Technology, School of Information Engineering and Automation, Kunming, China
According to our database1,
Li Liu
authored at least 41 papers
between 2011 and 2024.
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Bibliography
2024
Neural Comput. Appl., November, 2024
Neural Comput. Appl., November, 2024
Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network.
IEEE Trans. Artif. Intell., September, 2024
Towards explaining graph neural networks via preserving prediction ranking and structural dependency.
Inf. Process. Manag., March, 2024
KDDGAN: Knowledge-Guided Explicit Feature Disentanglement for Facial Attribute Editing.
IEEE Trans. Consumer Electron., February, 2024
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning.
IEEE Trans. Knowl. Data Eng., January, 2024
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Knowl. Based Syst., 2024
Enhancing graph neural networks for self-explainable modeling: A causal perspective with multi-granularity receptive fields.
Inf. Process. Manag., 2024
2023
Interpreting open-domain dialogue generation by disentangling latent feature representations.
Neural Comput. Appl., October, 2023
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
IEEE Trans. Knowl. Data Eng., April, 2023
Proceedings of the Rough Sets - International Joint Conference, 2023
2022
Remote. Sens., 2022
MGRL: attributed multiplex heterogeneous network representation learning based on multi-granularity information fusion.
Int. J. Mach. Learn. Cybern., 2022
LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation.
CoRR, 2022
Denoise Network Structure for User Alignment Across Networks via Graph Structure Learning.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022
HierMRL: Hierarchical Structure-Aware Molecular Representation Learning for Property Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Neurocomputing, 2021
Proceedings of the 7th International Conference on Systems and Informatics, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Deep multi-granularity graph embedding for user identity linkage across social networks.
Knowl. Based Syst., 2020
2019
IEEE Access, 2019
ABNE: An Attention-Based Network Embedding for User Alignment Across Social Networks.
IEEE Access, 2019
A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks.
Proceedings of the Rough Sets - International Joint Conference, 2019
An Efficient Three-Factor Remote User Authentication Scheme Based on Random Projected Biometrics.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
2018
Int. J. Distributed Sens. Networks, 2018
An Effective Face Recognition Framework With Subspace Learning Based on Local Texture Patterns.
Proceedings of the 5th International Conference on Systems and Informatics, 2018
Entity Alignment Across Knowledge Graphs Based on Representative Relations Selection.
Proceedings of the 5th International Conference on Systems and Informatics, 2018
Finding Multi-granularity Community Structures in Social Networks Based on Significance of Community Partition.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2016
Neurocomputing, 2016
A Momentum Theory for Hot Topic Life-cycle: A Case Study of Hot Hashtag Emerging in Twitter.
Int. J. Comput. Commun. Control, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016
2015
Personalized Mention Probabilistic Ranking - Recommendation on Mention Behavior of Heterogeneous Social Network.
Proceedings of the Web-Age Information Management, 2015
2014
Int. J. Mach. Learn. Cybern., 2014
ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
2012
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
2011
Proceedings of the Web Information Systems and Mining - International Conference, 2011