2025
TeST: Temporal-spatial separated transformer for temporal action localization.
Neurocomputing, 2025
Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Disentangled Representation Learning With Transmitted Information Bottleneck.
IEEE Trans. Circuits Syst. Video Technol., December, 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
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection.
CoRR, 2024
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting.
CoRR, 2024
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant.
CoRR, 2024
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs.
CoRR, 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