Yan Zhuang

Orcid: 0000-0001-7444-3275

Affiliations:
  • University of Electronic Science and Technology of China: Chengdu, Sichuan, China


According to our database1, Yan Zhuang authored at least 19 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Modality-Aware Contrastive and Uncertainty-Regularized Emotion Recognition.
CoRR, May, 2026

Intra-Sample and Intra-Modal Enhancement for Multimodal Sentiment Analysis With Missing Modalities.
IEEE Trans. Multim., 2026

Decoupled hypergraph modeling for multimodal sentiment analysis.
Neurocomputing, 2026

ReNoRD: Learning from Relations under Noisy Pseudo Labels via Relational Distillation for Multimodal Sentiment.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Hierarchical Denoising for Robust Social Recommendation.
IEEE Trans. Knowl. Data Eng., February, 2025

Multi-Level Contrastive Learning for Multimodal Sentiment Analysis.
IEEE Trans. Multim., 2025

Enhanced Emotion Recognition in Conversations Through Hybrid Context Encoding and Latent Dependency Mining.
IEEE Trans. Affect. Comput., 2025

ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation.
Proceedings of the ACM on Web Conference 2025, 2025

Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FAME: Fusion-Aware Multi-modal Ensemble for Social Media Popularity Prediction.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CMAD: Correlation-Aware and Modalities-Aware Distillation for Multimodal Sentiment Analysis with Missing Modalities.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
GLoMo: Global-Local Modal Fusion for Multimodal Sentiment Analysis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2022
Yet@SMM4H'22: Improved BERT-based classification models with Rdrop and PolyLoss.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Yet at Factify 2022 : Unimodal and Bimodal RoBERTa-based models for Fact Checking (short paper).
Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), 2022

Yet at Memotion 2.0 2022 : Hate Speech Detection Combining BiLSTM and Fully Connected Layers (short paper).
Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), 2022

2021
Optimal Subsidy Policy for Green Energy Trading Among Three Parties: A Game Theoretical Approach.
IEEE Access, 2021

2020
Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020


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