Zhou Yang

Orcid: 0009-0005-3741-0649

Affiliations:
  • Fuzhou University, College of Computer and Data Science, Digital Fujian Institute of Financial Big Data, China


According to our database1, Zhou Yang authored at least 12 papers between 2018 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory.
CoRR, January, 2025

A Preference-driven Conjugate Denoising Method for sequential recommendation with side information.
Inf. Process. Manag., 2025

TF-MERC: Integrating Time-Frequency Information for Multimodal Emotion Recognition in Conversation.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

DHKD: A Debiased Hierarchical Knowledge Distillation for Multimodal Emotion Recognition in Conversation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
Situation-aware empathetic response generation.
Inf. Process. Manag., 2024

CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation.
CoRR, 2024

E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory.
CoRR, 2024

Enhancing Empathetic Response Generation by Augmenting LLMs with Small-scale Empathetic Models.
CoRR, 2024

CTSM: Combining Trait and State Emotions for Empathetic Response Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

An Iterative Associative Memory Model for Empathetic Response Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2018
A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018


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