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；华中科技大学获学士、硕士学位，北京邮电大学获工学博士学位，南加州大学 (USC) 访问学者；主要研究兴趣是机器智能和深度学习基础理论与方法及其在多模态认知计算和自然语言处理等领域的应用；在 CVPR、ACL、ACM MM、AAAI、IJCAI、EMNLP、COLING、ECAI、ICASSP、ICME 及 IEEE TMM、IEEE TNNLS、IEEE TCSVT、ACM ToMM、Neural Networks 等高水平国际会议及期刊发表学术论文，含 ESI 高被引论文 1 篇，谷歌学术总引用 4000 余次；已授权国家发明专利 20 余项；ACM MM'14 会议论文 (Corr-AE跨模态检索方法) 获最佳论文提名奖，获 Aminer'23 AI 2000 多媒体领域最具影响力学者提名奖，ACL'21 会议论文 (DualGCN情感分析方法) 入选 2024 年 Paper Digest 最具影响力论文榜单。个人主页；答所问 (AQA)；深时数字地球 (DDE)。

l部分论文 (* = 通信作者)   

1. Yuantao Fan, Ruifan Li*, Guangwei Zhang, Chuan Shi, and Xiaojie Wang, A Weighted Cross-entropy Loss for Mitigating LLM Hallucinations in Cross-lingual Continual Pretraining, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, 2025-04. [Web] 

2. Zebin Yao, Fangxiang Feng, Ruifan Li, and Xiaojie Wang, Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, Pennsylvania, USA, 2025-03. [Web]

3. Xinjing Liu, Ruifan Li*, Shuqin Ye, Guangwei Zhang, and Xiaojie Wang, Multimodal Aspect-Based Sentiment Analysis under Conditional Relation, The 31st International Conference on Computational Linguistics (COLING), Abu Dhabi, UAE, 2025-01 [Web]

4. Guangwei Zhang, Yongping Xiong, and Ruifan Li*,  A Noisy Context Optimization Approach for Chinese Spelling Correction, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Macau, China, 2024-12. [Web]   

5. Pengyue Lin, Ruifan Li*, Yuzhe Ji, Zhihan Yu, Fangxiang Feng, Zhanyu Ma, and Xiaojie Wang, Triple Alignment Strategies for Zero-shot Phrase Grounding under Weak Supervision, ACM International Conference on Multimedia (ACM MM), pp. 4312-4321, Melbourne, Australia, 2024-10. [Web]  

6. Pengfei Zhou, Fangxiang Feng, Guang Liu, Ruifan Li, and Xiaojie Wang, DiffHarmony++: Enhancing Image Harmonization with Harmony-VAE and Inverse Harmonization Model, ACM International Conference on Multimedia (ACM MM), pp. 10592-10601, Melbourne, Australia, 2024-10. [Web] 

7. 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 (TCSVT), Vol. 34, pp. 7771-7784, 2024-08. [Web] 

8. Yuantao Fan, Xinyu Tu, and Ruifan Li*, An Inverse Retrieval Method Via Query Generation for Xiaohongshu’s Search Engine, International Conference on Intelligent Computing (ICIC), pp. 362-373, Tianjin, China, 2024-07. [Web] 

9. Zhihan Yu and Ruifan Li*, Revisiting Counterfactual Problems in Referring Expression Comprehension, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 13438 - 13448, Seattle, USA., 2024-06. [Web] 

10. 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 (TNNLS), pp. 7642-7656, 2024-06. [Web] 

11. 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), pp. 7895-7899, Seoul, Korea, 2024-04.  [Web] 

12. 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), Foshan, Guangzhou, 2023-11, published in Acta Scientiarum Naturalium Universitatis Pekinensis, (in Chinese), Vol. 60 (1), pp. 1-12, 2024-01. [Web] 

13. Lihui Zhang and Ruifan Li*, Knowledge Prompting with Contrastive Learning for Unsupervised CommonsenseQA, The International Conference on Neural Information Processing (ICONIP), pp. 27-38, Changsha, China, 2023-11. [Web] 

14. 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]

15. 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]

16. 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]

17. 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]

18. 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]

19. Zeyuan Wang, Yifan Du, Guangwei Zhang, Ruifan Li*, Yongping Xiong and Chuang Zhang, Semantics-Guided Knowledge Integration for Domain Adaptation Few-shot Relation Extraction, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 506-513, Chiang Mai, Thailand, 2022-11. [Web]

20. Zhihan Yu, Mingcong, and Ruifan LI*, Multimodal Co-Attention Mechanism for One-stage Visual Grounding, IEEE International Conference on Cloud Computing and Intelligent Systems (CCIS), Chengdu, China,  pp. 288-292, 2022-11.  [Web]

21. 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]

22. 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]

23. Guangwei Zhang, Bing Zhao, and Ruifan Li*, Multi-level fusion with deep neural networks for multimodal sentiment classification, Vol. 29, pp. 25-33, Journal of China Universities of Posts and Telecommunications (JCUPT), 2022-06.  [Web]

24. Mingcong Lu, Yusong Zhang, Qu-An Zheng, Zhenyuan Ma, Liqing Liu, Yongping Xiong, and Ruifan Li*，EP-BERTGCN: A Simple but Effective Power Equipment Fault Recognition Method, ACM International Conference on Information Technology and Computer Communications (ITCC), pp. 64-68, 2022-06. [Web]

25. Fangxiang Feng, Tianrui Niu, Ruifan Li, and Xiaojie Wang, Modality Disentangled Discriminator for Text-to-Image Synthesis, IEEE Transactions on Multimedia (TMM), Vol. 24, pp. 2112-2124, 2022-05. [Web]

26. 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]

27. 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]

28. Yusong Zhang, Mingcong Lu, Liqing Liu, Zhijian Li, Fei Jiao, Yongping Xiong, Qinghua Tang, and Ruifan Li*, Chinese Electric Power Equipment Fault Recognition Based on Graph Convolutional Networks. International Conference on High Performance Big Data and Intelligent Systems (HPBD & IS), Macau, China, pp. 125–129, 2021-12. [Web]

29. Zeyuan Wang, Zhiyu Wei, Lihui Zhang, Ruifan Li*, and Zhanyu Ma, Entailment Method Based on Template Selection for Chinese Text Few-shot Learning, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Tokyo, Japan, pp. 2060-2065, 2021-12. [Web]

30. Yazhou Li, Yihui Shi, Yun Liu, Ruifan Li* and Zhanyu Ma, Image Captioning Based on An Improved Transformer with IoU Position Encoding, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Tokyo, Japan, pp. 2066-2071, 2021-12. [Web]

31. 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]

32. Ruifan Li, Zeyuan Wang, Yifan Du, Zepeng Zhai, Yongping Xiong, and Ziquan Liu, Maintenance Decision Generator for Electrical Equipment Based on Reinforcement Learning. International Conference on Signal Processing and Machine Learning (SPML), Beijing, China, pp. 160-165, 2021-08. [Web]

33. Ruifan Li, Guang Chen, Tingting Zhu, Ziquan Liu and Yongping Xiong, Recognizing Named Entities in Electric Power Documents, The 16th International Conference on Natural Computation, Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Xi'an, China, pp. 652-660, 2021-06. [Web] 

34. Guang Liu, Yuzhao Mao, Qi Sun, Hailong Huang, Weiguo Gao, Xuan Li, Jianping Shen, Ruifan Li, and Xiaojie Wang, Multi-scale Two-way Deep Neural Network for Stock Trend Prediction. The 2020 29th International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, pp. 4555-4561, 2021-01. 

35. 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 (TMM), Vol. 22, pp. 3075-3087, 2020-12. [Web]

36. Fangxiang Feng, Tianrui Niu, Ruifan Li, Xiaojie Wang, and Huixing Jiang, Learning Visual Features from Product Title for Image Retrieval. ACM International Conference on Multimedia (ACM MM, Short Paper), pp. 4723-4727, 2020-10. [Web]

37. 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]

38. Tingting Zhu, Yifang Du, Ruifan Li*, and Yongping Xiong, An unsupervised approach to recognizing new words in power domain, Vol. 39, pp. 159-165, Electronic Power Engineering Technology (in Chinese), 2020-06. [Web]

39. 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]

40. 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]

41. Ruifan Li, Fangxiang Feng, Ibrar Ahmad, and Xiaojie Wang, Retrieving real world clothing images via multi-weight deep convolutional neural networks, Cluster Computing, Vol. 22, pp. 7123-7134, 2019-05. [Web]

42. Ruifan Li, Haoyu Liang, Fangxiang Feng, Guangwei Zhang, and Xiaojie Wang, Paragraph Image Captioning with Deep Fully Convolutional Neural Networks, Journal of Beijing University of Posts and Telecommunications (in Chinese), Vol. 42, pp. 155-161, 2019-12. [Web] 

43. 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]

44. Ruifan Li, Wencong Lu, Haoyu Liang, Yuzhao Mao, and Xiaojie Wang, Multiple Features With Extreme Learning Machines For Clothing Image Recognition. IEEE Access, Vol. 6, pp. 36283-36294, 2018-07. [Web]

45. Ruifan Li, Yuzhao Mao, Ibrar Ahmad, Fangxiang Feng, and Xiaojie Wang, Improving Deep Convolutional Neural Networks for Real-world Clothing Image, 2017 The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), pp. 837-843, 2018-07. 

46. Guangwei Zhang and Ruifan Li*, Fog computing architecture-based data acquisition for WSN applications, China Communications, vol. 14, no. 11, pp. 69-81, 2017-11. [Web]

47. Ibrar Ahmad, Xiaojie Wang, and Ruifan Li, Manzoor Ahmed, Rahat Ullah, Line and Ligature Segmentation of Urdu Nastaleeq Text. IEEE Access Vol. 5, pp. 10924-10940, 2017-05. [Web]

48. Ibrar Ahmad, Xiaojie Wang, Ruifan Li and Shahid Rasheed, Offline Urdu Nastaleeq optical character recognition based on stacked denoising autoencoder, China Communications, vol. 14, no. 1, pp. 146-157, 2017-01. [Web]

49. Peng Lu, Xujun Peng, Caixia Yuan, Ruifan Li, and Xiaojie Wang, Image color harmony modeling through neighbored co-occurrence colors, Neurocomputing, Vol. 201, pp. 82-91, 2016-08. [Web]

50. Peng Lu, Xujun Peng, Xinshan Zhu, and Ruifan Li, An EL-LDA based general color harmony model for photo aesthetics assessment, Signal Processing, Vol. 120, pp. 731-745, 2016-03. [Web]

51. 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]

52. Peng Lu, Xujun Peng, Ruifan Li, and Xiaojie Wang, Towards aesthetics of image: A Bayesian framework for color harmony modeling. Signal Processing: Image Communication, Vol. 39, pp. 487-498, 2015-11. [Web]

53. 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]

54. Fangxiang Feng, Ruifan Li, and Xiaojie Wang, Deep correspondence restricted Boltzmann machine for cross-modal retrieval, Neurocomputing (NEUCOM), Vol. 154, pp.50-60, 2015-04. [Web]

55. Peng Lu, Xujun Peng, Xinshan Zhu, and Ruifan Li, Finding more relevance: Propagating similarity on Markov random field for object retrieval. Signal Processing: Image Communication, Vol. 32, pp. 54-68, 2015-03. [Web]

56. Ruifan Li, Fangxiang Feng, Xiaojie Wang, Peng Lu, Bohan Li, Obtaining cross modal similarity metric with deep neural architecture, Mathematical Problems in Engineering (MPE), pp. 1-9, 2015-03. [Web]

57. Jian Li, DanJie Song, Ruifan Li, and Xiaofeng Lu, A quantum secure direct communication protocol based on four-qubit cluster state. Security and Communication Networks, 8(1): pp. 36-42, 2015-01. [Web]

58. Liangzu Feng, Ruifan Li, and Yanquan Zhou, Extracting key sentiment sentences from internet news via multiple source features, IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), Beijing, China, pp. 126-130, 2014-12. [Web]

59. Peng Lu, Zhijie Kuang, Xujun Peng, and Ruifan Li, Discovering Harmony: A Hierarchical Colour Harmony Model for Aesthetics Assessment. 12th Asian Conference on Computer Vision (ACCV), Singapore, pp. 452-467, 2014-11. [Web]

60. Fangxiang Feng, Xiaojie Wang, and Ruifan Li, Cross-modal Retrieval with Correspondence Autoencoder, ACM International Conference on Multimedia (ACM MM), pp.7-16, 2014-11. [Web]

61. Yang Yang, Ruifan Li, and Yanquan Zhou, A hybrid approach to identifying sentiment polarity for new words, International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace and Electronic Systems, VITAE 2014 - Co-located with Global Wireless Summit, 2014-10. [Web] 

62. Xiaoxu Li, Ruifan Li, Fangxiang Feng, Jie Cao, and Xiaojie Wang, Multi-view Supervised Latent Dirichlet Allocation, Acta Electronica Sinaca, Vol 42, No. 10, pp. 2040-2044, 2014-10. (in Chinese)  [Web]

63. Ding Yuan, Yanquan Zhou, Ruifan Li, and Peng Lu, Sentiment analysis of microblog combining dictionary and rules. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Beijing China, pp. 785-789, 2014-08. [Web] 

64. Fangxiang Feng, Ruifan Li, and Xiaojie Wang, Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative Choice, Presented at the Workshop on Representation Learning, International Conference on Machine Learning (ICML), Atlanta, USA, 2013-06. [Web]  

65. Dapeng Wang, Bingwen Wang, and Ruifan Li, Improved prediction model of interval grey number based on the characteristics of grey degree of compound grey number. Systems Engineering and Electronics, Vol. 35, No. 5, pp. 1013-1017, 2013-05. (in Chinese) [Web]

66. Jian Li, Jinrui Nie, Peijun Zhao, Ruifan Li, and Yongzhong Zou, Deterministic Joint Remote Preparation of Arbitrary Four-Particle Genuine Entangled State, Vol. 10, No. 2, pp. 11-18, China Communications, 2013-02. [Web] 

67. Jian Li, Xiaojing Guo, Meiyun Li, and Ruifan Li, Improved Keystroke Authentication Accuracy Based on Statistics and Weight, Vol. 9, No. 7, pp. 36-41, 2012-07. [Web]

68. Chuan He, Ruifan Li, and Yixin Zhong, Combining Different Classifiers in Educational Data Mining, International Conference on Applied Informatics and Communication (ICAIC), Xi'an China, pp. 467-473, 2011-08. [Web] 

l近年研究生去向

阿里、快手、腾讯、字节、网易、中科院自动化所、华为诺亚方舟实验室、微软亚洲工程院、北京蚂蚁集团、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