李瑞博士毕业于香港城市大学，现任汕头大学数学与计算机学院计算机系讲师。本人长期致力于人工智能前沿领域的探索，目前的主要研究方向聚焦于深度学习、迁移学习、多模态处理以及多模态情感分析领域的深层次交叉研究。
在学术研究与主要成果方面，围绕无监督目标域标签生成、模型自适应、跨语言动态特征适配、跨域对比学习以及多模态轻量化分析等核心前沿方向，开展了系统性的技术攻关并取得了一系列具有国际影响力的创新性成果。近五年内，本人以第一作者或通讯作者身份在人工智能领域的国际顶尖期刊与学术会议上发表了多篇高质量学术论文。
[1] Rui Li, Wenming Cao, Si Wu, Hau-San Wong. Generating Target Image-label Pairs for Unsupervised Domain Adaptation. IEEE Transactions on Image Processing. 29:7997-8011(2020) (CCF A，中科院1区)
[2] Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu. Model Adaptation: Unsupervised Domain Adaptation without Source Data. IEEE Conference on Computer Vision and Pattern Recognition. 2020 （CCF A）
[3] FeiFan Xu, Rui Li*, Si Wu*, etc. Text-conditional Attribute Alignment across Latent Spaces for 3D Controllable Face Image Synthesis. IEEE Conference on Computer Vision and Pattern Recognition. 2024 （CCF A)
[4] Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong. Simplified Un-supervised Image Translation for Semantic Segmentation Adaptation.Pattern Recognition.105:107343 (2020).(中科院1区)
[5] Rui Li, Cheng Liu, Dazhi Jiang. Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training. Knowledge-BasedSystems. 279: 110957 (2023). (中科院1区)
[6] Chaoyue Wu, Rui Li*, Cheng Liu, Si Wu, Hau-San Wong. Diverse Seman-tic Image Synthesis with various conditioning modalities. Knowledge-Based Systems. 309: 112727 (2025) (中科院1区)
[7] Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li*, Qianfen Jiao, Zhiwen Yu, Hau-San Wong. Unsupervised discriminative feature learning via finding a clustering-friendly embedding space. Pattern Recognition. 129: 108768 (2022) (中科院1区)
[8] Rui Li, Yang T, Liu C, et al. A new paradigm for multi-source sentiment analysis and adaptation with multiple pretrained language models[J]. Knowledge-Based Systems, 2026, 347: 116347. (中科院1区)
[9] Rui Li, Yang T, Liu C, et al. Prompt-augmented Feature with Cross-domain Contrastive Learning for Efficient Multi-domain Sentiment Analysis. 2025. (CCF B)
[10] Rui Li, Cheng Liu, Yu Tong, Dazhi Jiang. Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning. International Conference on Computational Linguistics. (2024). (CCF B)
[11] Rui Li, Cheng Liu, Dazhi Jiang. Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network. International Conference on Computational Linguistics. 6934-6943 (2022). (CCF B)
代表性项目
1、2022-2025，主持汕头大学科研启动基金项目《基于对比学习的无监督多源域情感分析》
2、2024-2026，主持广东省自然科学基金项目青年项目《基于训练数据生成策略的无监督多源域迁移中关键技术研究》
3、2025-2027，主持广东省基础与应用基础研究基金面上项目《数据缺失条件下多模态轻量化情感分析的关键问题研究》
