张有

张有

讲师

研究领域

人工智能、自然语言处理、情感计算等

研究概况

长期从事人工智能、自然语言处理与情感计算等方面的科学研究,目前在相关领域发表论文20余篇,其中多篇发表在AAAI、ACL、COLING、TETCI、Information Sciences、Neural Networks等中国计算机学会CCF A/B类推荐会议/期刊上。主持云南省博士后科研项目2项,参加多项国家自然基金项目。

研究课题

云南省彩云博士后创新项目,基于大规模语言模型的智慧旅游推荐系统关键技术研究,2024/06-2025/03,已结题,主持

云南省博士后科研项目,基于知识注入的智慧旅游推荐系统关键技术研究,2022/12-2024/12,已结题,主持

国家自然科学基金地区项目,基于多维度连续情感空间的文本生成技术研究,2020/01-2023/12,已结题,参与

国家自然科学基金地区项目,面向小语种的高性能文本情感分析关键技术研究,2018/01-2021/12,已结题,参与

部分学术成果

会议论文:

[1]         Y. Zhang, J. Wang, L.-C. Yu, D. Xu, and X. Zhang,. "Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective", in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2025), 2025. (CCF推荐A类会议)

[2]         Y. Zhang, J. Wang, L.-C. Yu, D. Xu, and X. Zhang, “Personalized LoRA for Human-Centered Text Understanding,” In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2024), vol. 38, no. 17, pp: 19588-19596, 2024. (CCF推荐 A类会议)

[3]         Y. Zhang, J. Wang, L.-C. Yu, D. Xu, and X. Zhang, “Domain Generalization via Switch Knowledge Distillation for Robust Review Representation,” in Findings of the Association for Computational Linguistics (ACL-2023), 2023, pp. 12812–12826. (CCF推荐A类会议)

[4]         Y. Zhang, J. Wang, L.-C. Yu, and X. Zhang, “MA-BERT: Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers,” in Findings of the Association for Computational Linguistics (ACL-IJCNLP-2021), 2021, pp. 2338–2343. (CCF推荐A类会议)

[5]         Y. Zhang, J. Wang, L.-C. Yu, D. Xu, and X. Zhang, “Improving Personalized Sentiment Representation with Knowledge-enhanced and Parameter-efficient Layer Normalization,” In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING-2024), pp. 8877–8889, 2024. (CCF推荐B类会议)

期刊论文:

[1]         Y. Zhang, J. Wang, L.-C. Yu, D. Xu, and X. Zhang, “Attribute-Based Injection Transformer for Personalized Sentiment Analysis,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 3, pp. 2581-2591, 2024. (中科院JCR II区期刊)

[2]         Y. Zhang, J. Wang, and X. Zhang, “Learning sentiment sentence representation with multiview attention model,” Information Sciences, vol. 571, pp. 459–474, 2021. (CCF推荐B类、中科院JCR I区期刊)

[3]         Y. Zhang, J. Wang, and X. Zhang, “Personalized sentiment classification of customer reviews via an interactive attributes attention model,” Knowledge-Based System., vol. 226, pp. 107135, 2021. (CCF 推荐C类、中科院JCR I区期刊)

[4]         Y. Zhang, J. Wang, and X. Zhang, “Conciseness is better: Recurrent attention LSTM model for document-level sentiment analysis,” Neurocomputing, vol. 462, pp. 101–112, 2021. (CCF 推荐 C 类、中科院JCR II区期刊)

[5]         J. Wang, Jiaxu Dao, Y. Zhang, D. Xu, and X. Zhang, “Heterogeneous federated distillation with mutual information maximization for medical relation extraction,” Information Sciences, vol. 698, pp.121759, 2025. (CCF推荐B类,中科院JCR I区期刊)

[6]         J. Wang, D. Liao, Y. Zhang, D. Xu, and X. Zhang, “Layerwised multimodal knowledge distillation for vision-language pretrained model”, Neural Networks, vol:175, pp.106272, 2025. (CCF推荐B类,中科院JCR I区期刊)

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