Tan Yue (岳潭)
Email: yeutan [AT] pku [DOT] edu [DOT] cn
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I am a Postdoctoral Research Fellow with the Wangxuan Institute of Computer Technology, Peking University, and work with Prof. Dongyan Zhao. I received my PhD through the joint program between the Nanyang Technological University and Beijing University of Posts and Telecommunications, advised by Prof. Zonghai Hu and Prof. Erik Cambria.
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My research interests include multimodal information processing (ICLR 2023), natural language processing (COLING 2024), and multimodal fusion (Information Fusion 2023). Now my research focuses on multimodal large model perception and reasoning.
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Selected Conference Papers |
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SarcNet: A multilingual multimodal sarcasm detection dataset
COLING 2024 (Oral)
Tan Yue, Xuzhao Shi, Rui Mao, Zonghai Hu, Erik Cambria
[paper] [code]
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Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings
ICLR 2023
Heng Wang, Tan Yue, Xiang Ye, Zihang He, Bohan Li, Yong Li
[paper] [code]
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KnowleNet: Knowledge fusion network for multimodal sarcasm detection
Information Fusion (2023) (JCR: Q1, IF: 18.6)
Tan Yue, Rui Mao, Heng Wang, Zonghai Hu, Erik Cambria
[paper]
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Lightweight fine-grained classification for scientific paper
Journal of Intelligent & Fuzzy Systems (2022) (JCR: Q4, IF: 2)
Tan Yue, Zihang He, Chang Li, Zonghai Hu, Yong Li
[paper]
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Dwsa: An intelligent document structural analysis model for information extraction and data mining
Electronics (2021) (JCR: Q3, IF: 2.69)
Tan Yue, Yong Li, Zonghai Hu
[paper]
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基于预训练编码器的论文细粒度化多标签标注方法及装置(A method and device for fine-grained multi-label annotation of paper by pre-trained encoder)
Chinese Invention Patent, 2023, ZL202211198214.5
Zonghai Hu, Tan Yue, Jiedong Qin, Xuzhao Shi, Zijiao Fan, Yuanyang Yang, Yuan Jiang
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基于多模态分层融合网络的细粒度化论文分类方法及装置(A method and device for fine-grained paper classification by multimodal hierarchical fusion network)
Chinese Invention Patent, 2022, ZL202111567384.1
Zonghai Hu, Tan Yue, Jiedong Qin, Xuzhao Shi, Zijiao Fan
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保险行业文档智能化解析方法和装置(An intelligent analysis method and device for insurance document)
Chinese Invention Patent, 2021, ZL202011621201.5
Tan Yue, Zonghai Hu
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基于正则化集成学习的多模态细粒度论文分类方法和系统(A multimodal fine-grained paper classification method and system by regularization ensemble learning)
Chinese Invention Patent (Application)
Zonghai Hu, Tan Yue, Yuanyang Yang, Yuan Jiang, Zijiao Fan, Xuzhao Shi, Jiedong Qin
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基于并行是非分类的多类别图像分类方法和系统(A method and system for multi-class image classification based on parallel binary classification)
Chinese Invention Patent (Application)
Zonghai Hu, Yuanyang Yang, Tan Yue
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Honors
- Peking University Boya Postdoctoral Fellowship, Peking University, 2024
- National Scholarship (PhD), Ministry of Education of China, 2023
- Beijing Outstanding Graduate (PhD), Beijing Municipal Education Commission, 2024
- Beijing Outstanding Graduate (Undergraduate), Beijing Municipal Education Commission, 2018
- Enterprise Scholarships, Beijing University of Posts and Telecommunications, 2019
- The First Prize Scholarship, Beijing University of Posts and Telecommunications, 2021
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Academic Services |
- Reviewer Information Fusion
- Reviewer IEEE Transactions on Affective Computing
- Reviewer Knowledge-Based Systems
- Reviewer Journal of Intelligent & Fuzzy Systems
- Reviewer Multimedia Tools and Applications
- Chair Baidu Academic Association in BUPT
- Member China Computer Federation
- Member The Chinese Institute of Electronics
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Selected Competition Awards |
- The 2nd AIIA Cup National Artificial Intelligence Competition
National Championship
- Chinese College Computer Competition
First prize (North China)
- The 8th China Internet + National College Students Innovation and Entrepreneurship Competition
Third prize
- The 7th China Internet + National College Students Innovation and Entrepreneurship Competition
Second prize
- The 6th China Internet + National College Students Innovation and Entrepreneurship Competition
Third prize
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Contact
Wangxuan Institute of Computer Technology, Peking University
No. 128 Zhongguancun North Street
Haidian District, Beijing, 100871
yuetan [at] pku.edu.cn
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