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
Semantics-Guided Contrastive Network for Zero-Shot Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Noise-Tolerant Learning for Audio-Visual Action Recognition.
IEEE Trans. Multim., 2024

Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning.
IEEE Trans. Image Process., 2024

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis.
CoRR, 2024

Disentangled Noisy Correspondence Learning.
CoRR, 2024

A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels.
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

Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition.
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

Adversarial Attacks on Fairness of Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Masked Distillation Advances Self-Supervised Transformer Architecture Search.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

FNDPro: Evaluating the Importance of Propagations during Fake News Spread.
Proceedings of the Database Systems for Advanced Applications, 2024

Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection.
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

Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Heterogeneous graph attention network with motif clique.
Neurocomputing, October, 2023

Counterfactual Generation Framework for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Dual-channel graph contrastive learning for self-supervised graph-level representation learning.
Pattern Recognit., July, 2023

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Collaborative Contrastive Refining for Weakly Supervised Person Search.
IEEE Trans. Image Process., 2023

Learning Representations by Graphical Mutual Information Estimation and Maximization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Disentangled Representation Learning with Transmitted Information Bottleneck.
CoRR, 2023

GADY: Unsupervised Anomaly Detection on Dynamic Graphs.
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

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds.
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

Towards Real-Time Person Search with Invariant Feature Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BotPercent: Estimating Bot Populations in Twitter Communities.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Noisy Correspondence Learning with Meta Similarity Correction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks.
IEEE Trans. Knowl. Data Eng., 2022

LookCom: Learning Optimal Network for Community Detection.
IEEE Trans. Knowl. Data Eng., 2022

A new self-supervised task on graphs: Geodesic distance prediction.
Inf. Sci., 2022

Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling.
Data Sci. Eng., 2022

Disentangled Generation with Information Bottleneck for Few-Shot Learning.
CoRR, 2022

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.
CoRR, 2022

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach.
CoRR, 2022

Towards Explanation for Unsupervised Graph-Level Representation Learning.
CoRR, 2022

CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search.
CoRR, 2022

Robust Unsupervised Graph Representation Learning via Mutual Information Maximization.
CoRR, 2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection.
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

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Self-weighted Robust LDA for Multiclass Classification with Edge Classes.
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

Encoding Heterogeneous Social and Political Context for Entity Stance Prediction.
CoRR, 2021

Knowledge Graph Augmented Political Perspective Detection in News Media.
CoRR, 2021

Towards Entity Alignment in the Open World: An Unsupervised Approach.
Proceedings of the Database Systems for Advanced Applications, 2021

TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.
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

BotRGCN: Twitter bot detection with relational graph convolutional networks.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Deep Top-$k$ Ranking for Image-Sentence Matching.
IEEE Trans. Multim., 2020

Semantics-Preserving Graph Propagation for Zero-Shot Object Detection.
IEEE Trans. Image Process., 2020

Diverse fuzzy <i>c</i>-means for image clustering.
Pattern Recognit. Lett., 2020

Progressive generative adversarial networks with reliable sample identification.
Pattern Recognit. Lett., 2020

Few-shot activity recognition with cross-modal memory network.
Pattern Recognit., 2020

Memory transformation networks for weakly supervised visual classification.
Knowl. Based Syst., 2020

Dual-stream generative adversarial networks for distributionally robust zero-shot learning.
Inf. Sci., 2020

An anomaly detection framework for time-evolving attributed networks.
Neurocomputing, 2020

Nonlinear feature selection on attributed networks.
Neurocomputing, 2020

Scalable attack on graph data by injecting vicious nodes.
Data Min. Knowl. Discov., 2020

Self-Supervised Graph Representation Learning via Global Context Prediction.
CoRR, 2020

Graph Representation Learning via Graphical Mutual Information Maximization.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Unsupervised Hierarchical Feature Selection on Networked Data.
Proceedings of the Database Systems for Advanced Applications, 2020

Cross-Graph Representation Learning for Unsupervised Graph Alignment.
Proceedings of the Database Systems for Advanced Applications, 2020

ZSTAD: Zero-Shot Temporal Activity Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Graph Few-shot Learning with Attribute Matching.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Discrete Multi-Graph Clustering.
IEEE Trans. Image Process., 2019

LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.
IEEE Trans. Fuzzy Syst., 2019

Large-Scale Robust Semisupervised Classification.
IEEE Trans. Cybern., 2019

Scheduled sampling for one-shot learning via matching network.
Pattern Recognit., 2019

Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks.
IEEE Internet Things J., 2019

Anomaly Detection in Time-Evolving Attributed Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Adaptive Unsupervised Feature Selection With Structure Regularization.
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

An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition.
IEEE Trans. Cybern., 2018

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy.
Neural Comput., 2018

Robust dictionary learning with graph regularization for unsupervised person re-identification.
Multim. Tools Appl., 2018

Top-<i>k</i> multi-class SVM using multiple features.
Inf. Sci., 2018

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Sparse Relational Topical Coding on multi-modal data.
Pattern Recognit., 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

Simple to complex cross-modal learning to rank.
Comput. Vis. Image Underst., 2017

Simple to Complex Cross-modal Learning to Rank.
CoRR, 2017

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

How Unlabeled Web Videos Help Complex Event Detection?
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

Sparse Multi-Modal Topical Coding for Image Annotation.
Neurocomputing, 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
Hierarchical Structured Sparse Representation for T-S Fuzzy Systems Identification.
IEEE Trans. Fuzzy Syst., 2013

2012
A new algorithm for testing diagnosability of fuzzy discrete event systems.
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


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