Zhihao Zhang

Orcid: 0000-0002-8860-0881

Affiliations:
  • Beijing University of Technology, School of Economics and Management, Beijing, China


According to our database1, Zhihao Zhang authored at least 11 papers between 2022 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Privacy-Enhanced Federated Feature Alignment Method Based on Secure Multi-Party Computation.
Int. J. Pattern Recognit. Artif. Intell., 2025

2024
Language model as an Annotator: Unsupervised context-aware quality phrase generation.
Knowl. Based Syst., January, 2024

ATLAS: Improving Lay Summarisation with Attribute-based Control.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2023
Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features.
Inf. Process. Manag., 2023

Unsupervised abstractive summarization via sentence rewriting.
Comput. Speech Lang., 2023

Enhancing Biomedical Lay Summarisation with External Knowledge Graphs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Domain-Driven and Discourse-Guided Scientific Summarisation.
Proceedings of the Advances in Information Retrieval, 2023

2022
Aspect Sentiment Triplet Extraction: A Seq2Seq Approach With Span Copy Enhanced Dual Decoder.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

NGEP: A Graph-based Event Planning Framework for Story Generation.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022


  Loading...