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Daqing Liu

刘大庆
Research Scientist
JD Explore Academy
liudq.ustc (at) gmail.com


About Me

Currently, I am a research scientist at JD Explore Academy (JDEA), JD.com Inc, led by Dr. Xiaodong He and Prof. Dacheng Tao. Before that, I received my Ph.D. degree from the University of Science and Technology of China (USTC) in 2021, advised by Prof. Zheng-Jun Zha. From May 2018 to May 2019, I was a visiting student at Nanyang Technological University (NTU), working with Associate Prof. Hanwang Zhang.

Research Interests

My research revolves around the exciting field of Multi-Modality Learning (MML) and its practical applications. I am driven by the ambition to develop an artificial general intelligence (AGI) that can effectively represent and comprehend information from diverse modalities, enabling it to make informed decisions. Within the realm of MML, I aim to bridge the gap between different modalities, unlock the full potential of multimodal data, and explore various research areas that contribute to this overarching goal, including:

News

Publications

*: Co-First Authors, #: Supervised Students, ✉: Corresponding Authors
I marked my name in Red if I am the first or corresponding author, or the mentor of the first author.

    2024

  1. IJCV
    MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis
    Jianbin Zheng#, Daqing Liu*, Chaoyue Wang, Minghui Hu, Zuopeng Yang, Changxing Ding, Dacheng Tao
    International Journal of Computer Vision.
    arXiv PDF Project Page Code   Impact Factor: 19.5
  2. AAAI
    Decomposing Semantic Shifts for Composed Image Retrieval
    Xingyu Yang#, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang
    AAAI Association for the Advancement of Artificial Intelligence (AAAI), 2024.
    arXiv PDF

    3. 2023

  3. NeurIPS
    Cocktail🍸: Mixing Multi-Modality Controls for Text-Conditional Image Generation
    Minghui Hu#, Jianbin Zheng#, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
    Neural Information Processing Systems (NeurIPS), 2023.
    arXiv PDF Project Page Code
  4. ICCV
    Exploring Temporal Concurrency for Video-Language Representation Learning
    Heng Zhang#, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    PDF Supp Code
  5. TPAMI
    TransVG++: End-to-End Visual Grounding with Language Conditioned Vision Transformer
    Jiajun Deng, Zhengyuan Yang, Daqing Liu, Tianlang Chen, Wengang Zhou, Yanyong Zhang, Houqiang Li, Wanli Ouyang
    IEEE Transactions on Pattern Analysis and Machine Intelligence.
    arXiv PDF Code   Impact Factor: 23.6
  6. TCSVT
    Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion
    Zuopeng Yang#, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
    IEEE Transactions on Circuits and Systems for Video Technology.
    arXiv PDF Code
  7. CVPR
    Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning
    Heng Zhang#, Daqing Liu*, Qi Zheng, Bing Su
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
    PDF Code   Highlight, Accept Rate: 2.5%

    8. 2022

  8. NeurIPS
    SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
    Gang Li, Heliang Zheng, Daqing Liu, Bing Su, Changwen Zheng
    Neural Information Processing Systems (NeurIPS), 2022.
    arXiv PDF Code Full, Accept Rate: 25.6%
  9. MM
    Semantically-Consistent Dynamic Blurry Image Generation for Image Deblurring
    Zhaohui Jing, Youjian Zhang, Chaoyue Wang, Daqing Liu, Yong Xia
    ACM International Conference on Multimedia (ACM MM), 2022.
    Full, Accept Rate: 27.9%
  10. CVPR
    Modeling Image Composition for Complex Scene Generation
    Zuopeng Yang#, Daqing Liu*, Chaoyue Wang, Jie Yang, Dacheng Tao
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
    arXiv PDF Code Full, Accept Rate: 25.3%

    11. 2021

  11. TPAMI
    Context-Aware Visual Policy Network for Fine-Grained Image Captioning
    Zheng-Jun Zha, Daqing Liu✉, Hanwang Zhang, Yongdong Zhang, Feng Wu
    IEEE Transactions on Pattern Analysis and Machine Intelligence.
    arXiv PDF Code   Impact Factor: 23.6
  12. TPAMI
    Learning to Compose and Reason with Language Tree Structures for Visual Grounding
    Richang Hong, Daqing Liu✉, Xiaoyu Mo, Xiangnan He, Hanwang Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence.
    arXiv PDF   Impact Factor: 23.6

    13. 2020

  13. IJCAI
    Learning to Discretely Compose Reasoning Module Networks for Video Captioning
    Ganchao Tan#, Daqing Liu*, Meng Wang, Zheng-Jun Zha
    International Joint Conference on Artificial Intelligence (IJCAI), 2020.
    arXiv PDF Code Oral, Accept Rate: 12.6%
  14. CVPR
    More Grounded Image Captioning by Distilling Image-Text Matching Model
    Yuanen Zhou#, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    arXiv PDF Code   Full, Accept Rate: 22%

    15. 2019

  15. ICCV
    Learning to Assemble Neural Module Tree Networks for Visual Grounding
    Daqing Liu, Hanwang Zhang, Zheng-Jun Zha, Feng Wu
    IEEE/CVF International Conference on Computer Vision (ICCV), 2019.
    arXiv PDF Code Talk   Oral, Accept Rate: 4.3%

    16. 2018

  16. MM
    Context-Aware Visual Policy Network for Sequence-Level Image Captioning
    Daqing Liu, Zheng-Jun Zha, Hanwang Zhang, Yongdong Zhang, Feng Wu
    ACM International Conference on Multimedia (ACM MM), 2018.
    arXiv PDF Code   Oral, Accept Rate: 8.5%

Experience

Research Scientist (2021-08 -- Present)

Research Intern (2018-05 -- 2019-05)

Doctor of Engineering (2016-09 -- 2021-06)

Services

Conference Reviewers

Journal Reviewers

Contact

Address: Block 2-A-13, JD Building, Beijing, China, 101111
Phone: (86) 188-5698-8126                Wechat: liudaqing94


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