李睿凡，博士，现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。在包括AAAI、ACL、ACM MM、COLING、ECAI、EMNLP、ICME、IJCAI等国际会议及IEEE T-MM、IEEE T-NNLS、TOMM、NEUNET等国际期刊发表学术论文，授权国家发明专利18项。

Publications

●  ACM MM 2024  Triple Alignment Strategies for Zero-shot Phrase Grounding under Weak Supervision, Pengyue Lin, Ruifan Li*, Yuzhe Ji, Zhihan Yu, Fangxiang Feng, Zhanyu Ma, and Xiaojie Wang
●  ACM MM 2024  DiffHarmony++: Enhancing Image Harmonization with Harmony-VAE and Inverse Harmonization Model, Pengfei Zhou, Fangxiang Feng, Guang Liu, Ruifan Li, and Xiaojie Wang
●  ICIC 2024  An Inverse Retrieval Method Via Query Generation for Xiaohongshu’s Search Engine, International Conference on Intelligent Computing, Yuantao Fan, Xinyu Tu, and Ruifan Li*
●  CVPR 2024  Revisiting Counterfactual Problems in Referring Expression Comprehension, Zhihan Yu, and Ruifan Li*
●  TNNLS 2024  DualGCN: Exploring Syntactic and Semantic Information for Aspect-based Sentiment Analysis, Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, and Eduard H. Hovy
●  ICASSP 2024  Visual Prompt Tuning for Weakly Supervised Phrase Grounding, Pengyue Lin, Zhihan Yu, Mingcong Lu, Fangxiang Feng, Ruifan Li*, and Xiaojie Wang
●  TCSVT 2024  LGR-NET: Language Guided Reasoning Network for Referring Expression Comprehension, Mingcong Lu, Ruifan Li*, Fangxiang Feng, Zhanyu Ma and Xiaojie Wang
●  NLPCC 2024  Enhanced Prompt Learning for Few-shot Text Classification Method, Ruifan Li*, Zhiyu Wei, Yuantao Fan, Shuqin Ye, and Guangwei Zhang
●  ICONIP 2023  Knowledge Prompting with Contrastive Learning for Unsupervised CommonsenseQA, Lihui Zhang and Ruifan Li*
●  ECAI 2023  Enhanced Machine Reading Comprehension Method for Aspect Sentiment Quadruplet Extraction, Shuqin Ye, Zepeng Zhai, and Ruifan Li*
●  Electronics 2023  A Visually Enhanced Neural Encoder for Synset Induction, Guang Chen, Fangxiang Feng, Guangwei Zhang, Xiaoxu Li, and Ruifan Li*
●  ACL 2023  USSA: A Unified Table Filling Scheme for Structured Sentiment Analysis, Zepeng Zhai, Hao Chen, Ruifan Li*, and Xiaojie Wang
●  ACL Findings 2022  KE-GCL: Knowledge Enhanced Graph Contrastive Learning for Commonsense Question Answering, Lihui Zhang and Ruifan Li*
●  EMNLP 2022  COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction, Zepeng Zhai, Hao Chen, Fangxiang Feng, Ruifan Li*, and Xiaojie Wang
●  APSIPA ASC 2022  Semantics-Guided Knowledge Integration for Domain Adaptation Few-shot Relation Extraction, Zeyuan Wang, Yifan Du, Guangwei Zhang, Ruifan Li*, Yongping Xiong and Chuang Zhang
●  COLING 2022  A Simple Model for Distantly Supervised Relation Extraction, Ziqin Rao, Fangxiang Feng, Ruifan Li*, and Xiaojie Wang
●  ICME 2022  Improving Image Paragraph Captioning with Dual Relations, Yun Liu, Yihui Shi, Fangxiang Feng, Ruifan Li*, Zhanyu Ma, and Xiaojie Wang
●  TMM 2022  Modality Disentangled Discriminator for Text-to-Image Synthesis, Fangxiang Feng, Tianrui Niu, Ruifan Li, and Xiaojie Wang
●  ACL 2022  Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction, Hao Chen, Zepeng Zhai, Fangxiang Feng, Ruifan Li, and Xiaojie Wang
●  MM Asia 2021  S2TD: A Tree-Structured Decoder for Image Paragraph Captioning, Yihui Shi, Yun Liu, Fangxiang Feng, Ruifan Li*, Zhanyu Ma, and Xiaojie Wang
●  APSIPA ASC 2021  Entailment Method Based on Template Selection for Chinese Text Few-shot Learning, Zeyuan Wang, Zhiyu Wei, Lihui Zhang, Ruifan Li*, and Zhanyu Ma
●  APSIPA ASC 2021  Image Captioning Based on An Improved Transformer with IoU Position Encoding, Yazhou Li, Yihui Shi, Yun Liu, Ruifan Li*, and Zhanyu Ma
●  IJCNLP 2021  Dual Graph Convolutional Neural Networks for Aspect-based Sentiment Analysis, Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, and Eduard H. Hovy
●  TMM 2020  Exploring Global and Local Linguistic Representations for Text-to-image Synthesis, Ruifan Li, Ning Wang, Fangxiang Feng, Guangwei Zhang, and Xiaojie Wang
●  ACM MM 2020  Learning Visual Features from Product Title for Image Retrieval, Fangxiang Feng, Tianrui Niu, Ruifan Li, Xiaojie Wang, and Huixing Jiang
●  NEUCOM 2020  Dual-CNN: A Convolutional Language Decoder for Paragraph Image Captioning, Ruifan Li, Haoyu Liang, Yihui Shi, Fangxiang Feng, and Xiaojie Wang
●  NEUCOM 2020  Multi-negative samples with Generative Adversarial Networks for image retrieval, Ruifan Li, Xuesen Zhang, Guang Chen, Yuzhao Mao, and Xiaojie Wang
●  AAAI 2019  Differential Networks for Visual Question Answering, Chenfei Wu, Jinlai Liu, Xiaojie Wang, and Ruifan Li
●  Cluster Computing 2019  Retrieving real world clothing images via multi-weight deep convolutional neural networks, Ruifan Li, Fangxiang Feng, Ibrar Ahmad, and Xiaojie Wang
●  IJCAI 2018  Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning, Yuzhao Mao, Chang Zhou, Xiaojie Wang, and Ruifan Li
●  IEEE Access 2018  Multiple Features With Extreme Learning Machines For Clothing Image Recognition, Ruifan Li, Wencong Lu, Haoyu Liang, Yuzhao Mao, and Xiaojie Wang
●  China Communications 2017  Fog computing architecture-based data acquisition for WSN applications, Guangwei Zhang and Ruifan Li*
●  IEEE Access 2017  Line and Ligature Segmentation of Urdu Nastaleeq Text, Ibrar Ahmad, Xiaojie Wang, and Ruifan Li, Manzoor Ahmed, Rahat Ullah
●  China Communications 2017  Offline Urdu Nastaleeq optical character recognition based on stacked denoising autoencoder, Ibrar Ahmad, Xiaojie Wang, Ruifan Li and Shahid Rasheed
●  TOMM 2015  Correspondence Autoencoders for Cross-Modal Retrieval, Fangxiang Feng, Xiaojie Wang, Ruifan Li, and Ibrar Ahmad
●  NEUNET 2015  Challenges in representation learning: A report on three machine learning contests, 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
●  NEUCOM 2015  Deep correspondence restricted Boltzmann machine for cross-modal retrieval, Fangxiang Feng, Ruifan Li, Xiaojie Wang
●  ACM MM 2014  Cross-modal Retrieval with Correspondence Autoencoder, Fangxiang Feng, Xiaojie Wang, and Ruifan Li

Students

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）

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