Vision-language Learning & Large Vision Language Models

• Delong Chen, Jianfeng Liu, Wenliang Dai, Baoyuan Wang.
  Visual Instruction Tuning with Polite Flamingo
  Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024. [github] [arXiv] [doi] (Oral Presentation)
  
  
• Fan Liu*✉, Delong Chen*✉, Zhangqingyun Guan, Xiaocong Zhou, Jiale Zhu, Jun Zhou
  RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [github] [arXiv] [doi]
  
  
• Delong Chen, Zhao Wu, Fan Liu, Zaiquan Yang, Huaxi Huang, Ying Tan, Erjin Zhou.
  ProtoCLIP: Prototypical Contrastive Language Image Pretraining
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [github] [arXiv] [doi]
  
  
• Delong Chen, Samuel Cahyawijaya, Jianfeng Liu, Baoyuan Wang, Pascale Fung
  Subobject-level Image Tokenization
  arXiv Preprint, 2024. [github] [arXiv]
  
  
• Delong Chen, Samuel Cahyawijaya, Etsuko Ishii, Ho Shu Chan, Yejin Bang, Pascale Fung
  The Pyramid of Captions
  arXiv Preprint, 2024. [arXiv]
  
  
• Delong Chen, Fan Liu, Xiaoyu Du, Ruizhuo Gao, Feng Xu.
  MEP-3M: A Large-scale Multi-modal E-Commerce Products Dataset
  IJCAI-21 Workshop on Long-Tailed Distribution Learning, 2021. [paper] (Best Dataset Paper)
  (Journal version) Pattern Recognition, 2023. [github] [doi]

Large Language Models, Hallucination, Alignmnet

• Samuel Cahyawijaya*, Delong Chen*, Yejin Bang*, Leila Khalatbari, Bryan Wilie, Ziwei Ji, Etsuko Ishii, Pascale Fung*
  High-Dimension Human Value Representation in Large Language Models
  arXiv Preprint, 2024. [github] [arXiv]
  
  
• Yejin Bang, Delong Chen, Nayeon Lee, Pascale Fung
  Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
  ACL 2024. [arXiv]
  
  
• Ziwei Ji, Delong Chen, Etsuko Ishii, Samuel Cahyawijaya, Yejin Bang, Bryan Wilie, Pascale Fung
  LLM Internal States Reveal Hallucination Risk Faced With a Query
  arXiv Preprint, 2024. [arXiv]
  
  
• Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Delong Chen, Ho Shu Chan, Wenliang Dai, Andrea Madotto, Pascale Fung
  Survey of Hallucination in Natural Language Generation
  arXiv Preprint, 2024. [arXiv]

Music & Audio Understanding

• Delong Chen, Fan Liu, Zewen Li, Feng Xu
  VirtualConductor: Music-driven Conducting Video Generation System
  IEEE International Conference on Multimedia & Expo (ICME) 2021. [arXiv][video] (Best Demo)
  
  
• Fan Liu, Delong Chen✉,Ruizhi Zhou, Sai Yang, Feng Xu
  Self-Supervised Music Motion Synchronization Learning for Music-Driven Conducting Motion Generation
  Journal of Computer Science and Technology (JCST), 2022 [github] [video] [doi]
  
  
• Zhuoran Zhao, Jinbin Bai, Delong Chen, Debang Wang, Yubo Pan
  Taming Diffusion Models for Music-driven Conducting Motion Generation
  AAAI 2023 Inaugural Summer Symposium Series – AI x metaverse. [github] [arXiv] (Best Paper)
  
  
• Xinyu Zhou🌹*, Delong Chen*, Yudong Chen
  Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model
  The 6th International Conference on Natural Language and Speech Processing (ICNLSP), 2023. [github] [arXiv]

Few-shot Visual Recognition

• Fan Liu*, Delong Chen*, Fei Wang, Zewen Li, Feng Xu
  Deep Learning based Single Sample Face Recognition: A Survey
  Artificial Intelligence Review, 2022. [arXiv] [doi]
  
  
• Sai Yang, Fan Liu, Delong Chen, Jun Zhou
  Few-shot Classification via Ensemble Learning with Multi-Order Statistics
  Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023. [arXiv] (Oral Presentation)
  
  
• Sai Yang, Fan Liu, Delong Chen, Huaxi Huang, Jun Zhou
  Few-shot Classification Model Compression via School Learning
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. [doi]
  
  
• Fan Liu, Sai Yang, Delong Chen, Huaxi Huang, Jun Zhou
  Few-shot Classification Guided by Generalization Error Bound
  Pattern Recognition, 2023. [doi]
  
  
• Fan Liu, Wenwen Cai, Jian Huo, Chuanyi Zhang, Delong Chen, Jun Zhou
  Making Large Vision Language Models to be Good Few-shot Learners
  arXiv Preprint. [arXiv]
  
  
• Fan Liu, Tianshu Zhang, Wenwen Dai, Chuanyi Zhang, Wenwen Cai, Xiaocong Zhou, Delong Chen✉
  Few-shot Adaptation of Multi-modal Foundation Models: A Survey
  Artificial Intelligence Review, 2024. [arXiv] [doi]

* Joint First Authors / Equal Contribution
✉ Corresponding Authors