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李睿凡（副教授） +106 博士生导师  硕士生导师 电子邮箱：rfli@bupt.edu.cn 所在单位：人工智能学院 学历：研究生毕业 性别：男 学位：博士学位 在职信息：在职 毕业院校：北京邮电大学 所属院系：人工智能学院 访问量：00006653 开通时间：2023.2.15 最后更新时间：2024.3.26 个人简介 李睿凡，博士，北京邮电大学人工智能学院副教授、博士生导师，主要研究兴趣机器智能和深度学习基础理论与方法及其在多模态计算和自然语言处理等领域的应用，在CVPR、ACL、AAAI、ACM MM、IJCAI、EMNLP、ECAI、COLING、ICME、ICASSP等国际会议及IEEE T-MM、IEEE T-NNLS、IEEE T-CSVT、TOMM、NEUNET等国际期刊发表学术论文，授权国家发明专利18项。个人主页。 l部分论文 (* = 通信作者)   1. Zhihan Yu and Ruifan Li*, Revisiting Counterfactual Problems in Referring Expression Comprehension, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2024-06. [Web]2. Pengyue Lin, Zhihan Yu, Mingcong Lu, Fangxiang Feng, Ruifan Li*, and Xiaojie Wang, Visual Prompt Tuning for Weakly Supervised Phrase Grounding, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 7895-7899, 2024-04.  [Web]  3. Mingcong Lu, Ruifan Li*, Fangxiang Feng, Zhanyu Ma and Xiaojie Wang, "LGR-NET: Language Guided Reasoning Network for Referring Expression Comprehension," in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), doi: 10.1109/TCSVT.2024.3374786, 2024-03. [Web]  4. Ruifan Li*, Zhiyu Wei, Yuantao Fan, Shuqin Ye, and Guangwei Zhang, Enhanced Prompt Learning for Few-shot Text Classification Method, The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2023-11, published in Acta Scientiarum Naturalium Universitatis Pekinensis, (in Chinese), Vol. 60 (1), pp. 1 - 12, 2024-01. [Web]  5. Lihui Zhang and Ruifan Li*, Knowledge Prompting with Contrastive Learning for Unsupervised CommonsenseQA, The International Conference on Neural Information Processing (ICONIP), pp. 27 - 38, 2023-11. [Web]  6. Shuqin Ye, Zepeng Zhai, and Ruifan Li*, Enhanced Machine Reading Comprehension Method for Aspect Sentiment Quadruplet Extraction, The 26th European Conference on Artificial Intelligence (ECAI), pp. 2874-2881, 2023-10. [Web]7. Guang Chen, Fangxiang Feng, Guangwei Zhang, Xiaoxu Li, and Ruifan Li*, A Visually Enhanced Neural Encoder for Synset Induction, Electronics, 12 (16), 3521, 1 - 21, 2023-08. [Web] 8. Zepeng Zhai, Hao Chen, Ruifan Li*, and Xiaojie Wang, USSA: A Unified Table Filling Scheme for Structured Sentiment Analysis, The 61th Annual Meeting of the Association for Computational Linguistics (ACL, Main Conference, Long Paper), 2023-06. [Web] 9. Lihui Zhang and Ruifan Li*, KE-GCL: Knowledge Enhanced Graph Contrastive Learning for Commonsense Question Answering, The 2022 Conference on Empirical Methods in Natural Language Processing, (Findings of ACL, Long Paper), pp. 76-87, 2022-12. [Web] 10. Zepeng Zhai, Hao Chen, Fangxiang Feng, Ruifan Li*, and Xiaojie Wang, COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction, The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP, Main Conference, Long Paper), pp. 3230–3241, 2022-12. [Web] 11. Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, and Eduard H. Hovy, DualGCN: Exploring Syntactic and Semantic Information for Aspect-based Sentiment Analysis, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), Online, 2022-11. [Web] 12. Ziqin Rao, Fangxiang Feng, Ruifan Li*, and Xiaojie Wang, A Simple Model for Distantly Supervised Relation Extraction, The 29th International Conference on Computational Linguistics (COLING, Main Conference, Short Paper), pp. 2651-2657, 2022.10. [Web] 13. Yun Liu, Yihui Shi, Fangxiang Feng, Ruifan Li*, Zhanyu Ma, and Xiaojie Wang, Improving Image Paragraph Captioning with Dual Relations, IEEE International Conference on Multimedia and Expo (ICME, Regular Paper), pp. 1-6, 2022-07. [Web] 14. Fangxiang Feng, Tianrui Niu, Ruifan Li, and Xiaojie Wang, Modality Disentangled Discriminator for Text-to-Image Synthesis, IEEE Transactions on Multimedia (T-MM), Vol. 24, pp. 2112-2124, 2022-05. [Web] 15. Hao Chen, Zepeng Zhai, Fangxiang Feng, Ruifan Li*, and Xiaojie Wang, Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction，The 60th Annual Meeting of the Association for Computational Linguistics (ACL, Main Conference, Long Paper), pp. 2974-2985, 2022-05. [Web] 16. Yihui Shi, Yun Liu, Fangxiang Feng, Ruifan Li*, Zhanyu Ma, and Xiaojie Wang, S2TD: A Tree-Structured Decoder for Image Paragraph Captioning, ACM Multimedia Asia (MMAsia, Regular Paper), pp. 1-7, 2021-12. [Web] 17. Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, and Eduard H. Hovy, Dual Graph Convolutional Neural Networks for Aspect-based Sentiment Analysis, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP, Main Conference, Long Paper), pp. 6319-6329, 2021-08. [Web] 18. Ruifan Li, Ning Wang, Fangxiang Feng, Guangwei Zhang, and Xiaojie Wang, Exploring Global and Local Linguistic Representations for Text-to-image Synthesis, IEEE Transactions on Multimedia (T-MM), Vol. 22, pp. 3075-3087, 2020-12. [Web] 19. Fangxiang Feng, Tianrui Niu, Ruifan Li, Xiaojie Wang, and Huixing Jiang, Learning Visual Features from Product Title for Image Retrieval. ACM Multimedia (ACM MM, Short Paper), pp. 4723-4727, 2020-10. [Web] 20. Ruifan Li, Haoyu Liang, Yihui Shi, Fangxiang Feng, and Xiaojie Wang, Dual-CNN: A Convolutional Language Decoder for Paragraph Image Captioning, Neurocomputing (NEUCOM), Vol. 396, pp. 92-101, 2020-07. [Web] 21. Ruifan Li, Xuesen Zhang, Guang Chen, Yuzhao Mao, and Xiaojie Wang, Multi-negative samples with Generative Adversarial Networks for image retrieval, Neurocomputing (NEUCOM), Vol. 394, pp. 146-157, 2020-06. [Web] 22. Chenfei Wu, Jinlai Liu, Xiaojie Wang, and Ruifan Li, Differential Networks for Visual Question Answering, Association for the Advancement of Artificial Intelligence (AAAI), pp. 8997-9004, 2019-02. [Web] 23. Yuzhao Mao, Chang Zhou, Xiaojie Wang, and Ruifan Li, Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning, International Joint Conference on Artificial Intelligence (IJCAI), pp. 4258-4264, 2018-07. [Web] 24. Fangxiang Feng, Xiaojie Wang, Ruifan Li, and Ibrar Ahmad, Correspondence Autoencoders for Cross-Modal Retrieval, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 12(1s), pp.1-22, 2015-10. [Web] 25. Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, and Yoshua Bengio, Challenges in representation learning: A report on three machine learning contests, Neural Networks (NEUNET), Vol. 64, pp.59-63, 2015-04. [Web] 26. Fangxiang Feng, Ruifan Li, Xiaojie Wang, Deep correspondence restricted Boltzmann machine for cross-modal retrieval, Neurocomputing (NEUCOM), Vol. 154, pp.50-60, 2015-04. [Web] 27. Fangxiang Feng, Xiaojie Wang, and Ruifan Li, Cross-modal Retrieval with Correspondence Autoencoder, ACM Multimedia (ACM MM), pp.7-16, 2014-11. [Web]  l近年学生培养情况 1. 北京邮电大学优秀硕士学位论文（2023年，Zepeng Zhai；2022年，Hao Chen）2. 研究生国家奖学金（2022年，Zepeng Zhai；2021年，Hao Chen）3. 北京邮电大学优秀学士学位论文（2020年，Lihui Zhang）l近年研究生去向阿里、快手、腾讯、网易、字节、中科院自动化所、华为诺亚方舟实验室、微软亚洲工程院、360搜索、中兴通讯、奇安信、京东方、中国农业银行、中金公司、富国基金、世坤咨询等   社会兼职 研究方向 暂无内容 暂无内容 工作经历 教育经历 暂无内容 暂无内容