Minnan Luo
Orcid: 0000-0002-0140-7860
According to our database1,
Minnan Luo
authored at least 115 papers
between 2011 and 2024.
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024
IEEE Trans. Multim., 2024
IEEE Trans. Image Process., 2024
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis.
CoRR, 2024
CoRR, 2024
MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts.
CoRR, 2024
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Database Systems for Advanced Applications, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Neurocomputing, October, 2023
IEEE Trans. Circuits Syst. Video Technol., August, 2023
Dual-channel graph contrastive learning for self-supervised graph-level representation learning.
Pattern Recognit., July, 2023
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
IEEE Trans. Image Process., 2023
Learning Representations by Graphical Mutual Information Estimation and Maximization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
CoRR, 2023
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement.
CoRR, 2023
HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention.
CoRR, 2023
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.
Proceedings of the ACM Web Conference 2023, 2023
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling.
Data Sci. Eng., 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
ACM Trans. Intell. Syst. Technol., 2021
Reliable shot identification for complex event detection via visual-semantic embedding.
Comput. Vis. Image Underst., 2021
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method.
CoRR, 2021
CoRR, 2021
Proceedings of the Database Systems for Advanced Applications, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
2020
IEEE Trans. Image Process., 2020
Pattern Recognit. Lett., 2020
Pattern Recognit., 2020
Knowl. Based Syst., 2020
Dual-stream generative adversarial networks for distributionally robust zero-shot learning.
Inf. Sci., 2020
Neurocomputing, 2020
Data Min. Knowl. Discov., 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.
IEEE Trans. Fuzzy Syst., 2019
Pattern Recognit., 2019
Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks.
IEEE Internet Things J., 2019
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Cybern., 2018
Neural Comput., 2018
Robust dictionary learning with graph regularization for unsupervised person re-identification.
Multim. Tools Appl., 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Avoiding Optimal Mean ℓ<sub>2, 1</sub>-Norm Maximization-Based Robust PCA for Reconstruction.
Neural Comput., 2017
Distributed extreme learning machine with alternating direction method of multiplier.
Neurocomputing, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions.
IEEE Trans. Fuzzy Syst., 2016
Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ<sub>1</sub>-Norm Maximization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2014
Joint Block Structure Sparse Representation for Multi-Input-Multi-Output (MIMO) T-S Fuzzy System Identification.
IEEE Trans. Fuzzy Syst., 2014
A novel T-S fuzzy systems identification with block structured sparse representation.
J. Frankl. Inst., 2014
Sparse fuzzy c-regression models with application to T-S fuzzy systems identification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
IEEE Trans. Fuzzy Syst., 2013
2012
Inf. Sci., 2012
A dynamic T-S fuzzy systems identification algorithm based on sparsity regularization.
Proceedings of the 2012 IEEE International Symposium on Intelligent Control, 2012
2011
Optimal necessary conditions for general SISO Mamdani fuzzy systems as function approximators within a given accuracy.
Proceedings of the FUZZ-IEEE 2011, 2011