Tianwei Yan
Orcid: 0000-0003-1912-8795Affiliations:
- National University of Defense Technology, Changsha, China
- Nanchang University, School of Information Engineering, China (former)
According to our database1,
Tianwei Yan
authored at least 16 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
LLaMA-MoT: A cost-effective framework for visual-linguistic instruction tuning based on multi-head adapters and chain-of-thought.
Expert Syst. Appl., 2026
2025
FRCL-MNER: A Finer Grained Rank-Based Contrastive Learning Framework for Multimodal NER.
IEEE Trans. Neural Networks Learn. Syst., June, 2025
IEEE Trans. Neural Networks Learn. Syst., June, 2025
HCL: A Hierarchical Contrastive Learning Framework for Zero-Shot Relation Extraction.
IEEE Trans. Neural Networks Learn. Syst., March, 2025
DeFine: A Decomposed and Fine-Grained Annotated Dataset for Long-form Article Generation.
CoRR, March, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
MSACC: A Unified Multimodal Sentiment Analysis Framework for High Interpretability and Zero-shot Performance.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image.
CoRR, 2024
CoRR, 2024
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment.
CoRR, 2024
A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2019
A novel deep residual network-based incomplete information competition strategy for four-players Mahjong games.
Multim. Tools Appl., 2019