Guixin Su

Orcid: 0009-0009-3239-1089

According to our database1, Guixin Su authored at least 11 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Beyond Static Snapshots: Dynamic Modeling and Forecasting of Group-Level Value Evolution with Large Language Models.
CoRR, February, 2026

A dual-level indicative representation learning method for multimodal sarcasm detection.
Inf. Process. Manag., 2026

2025
RCLMuFN: Relational context learning and multiplex fusion network for multimodal sarcasm detection.
Knowl. Based Syst., 2025

Unified Grid Tagging Scheme for Aspect Sentiment Quad Prediction.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Refining Idioms Semantics Comprehension via Contrastive Learning and Cross-Attention.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Unified Generative Framework for Bilingual Euphemism Detection and Identification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021
NFCMF: Noise Filtering and CrossModal Fusion for Multimodal Sentiment Analysis.
Proceedings of the International Conference on Asian Language Processing, 2021

2020
Position-aware Hybrid Attention Network for Aspect-Level Sentiment Analysis.
Proceedings of the Information Retrieval - 26th China Conference, 2020


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