I am Pengpeng Zeng (曾鹏鹏), currently a Researcher in the School of Computer Science and Technology at Tongji University, China. I received my Ph.D. degree in 2023 from the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), under the supervision of Prof. Jingkuan Song, Prof. Lianli Gao, and Prof. Heng Tao Shen.

My research interests include Machine Learning, Deep Learning, AI-Generated Content (AIGC), Computer Vision, and Reinforcement Learning etc.

If you are interested in related topics or potential collaborations, please feel free to get in touch: is.pengpengzeng@gmail.com.

🔥 News

  • 2025.05: Two papers accepted by ACL 2025!
  • 2025.05: One paper accepted by TIP!
  • 2025.02: One paper accepted by TIP!
  • 2024.07: One paper accepted by ACM MM 2024!
  • 2024.07: One paper accepted by TCSVT!
  • 2024.02: One paper accepted by CVPR 2024!

📝 Publications

Selected publications are listed below. For the full list, please see my Google Scholar.

CVPR 2025
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Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
Shihan Wu, Ji Zhang, Pengpeng Zeng, Lianli Gao, Jingkuan Song, Heng Tao Shen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[Paper][Code]

TIP 2025
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Text-Video Retrieval with Global-Local Semantic Consistent Learning
Haonan Zhang, Pengpeng Zeng, Lianli Gao, Jingkuan Song, Yihang Duan, Xinyu Lyu, Heng Tao Shen
IEEE Transactions on Image Processing (TIP), 2025
[Paper][Code]

TIP 2025
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Multi-Concept Learning for Scene Graph Generation
Xinyu Lyu, Lianli Gao, Junlin Xie, Pengpeng Zeng, Yulu Tian, Jie Shao, Heng Tao Shen
IEEE Transactions on Image Processing (TIP), 2025
[Paper][Code]

CVPR 2024
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ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval
Kaipeng Fang, Jingkuan Song, Lianli Gao, Pengpeng Zeng, Zhi-Qi Cheng, Xiyao Li, Heng Tao Shen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper][Code]

TPAMI 2023
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Adaptive Fine-Grained Predicates Learning for Scene Graph Generation
Xinyu Lyu, Lianli Gao, Pengpeng Zeng, Heng Tao Shen, Jingkuan Song
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[Paper][Code]

TNNLS 2023
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Visual Commonsense-aware Representation Network for Video Captioning
Pengpeng Zeng, Haonan Zhang, Lianli Gao, Xiangpeng Li, Jin Qian, Heng Tao Shen
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
[Paper][Code]

TIP 2022
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Video Question Answering with Prior Knowledge and Object-sensitive Learning
Pengpeng Zeng, Haonan Zhang, Lianli Gao, Jingkuan Song, Heng Tao Shen
IEEE Transactions on Image Processing (TIP), 2022
[Paper][Code]

IJCAI 2022
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S2 Transformer for Image Captioning
Pengpeng Zeng, Haonan Zhang, Jingkuan Song, Lianli Gao
International Joint Conference on Artificial Intelligence (IJCAI), 2022
[Paper][Code]

🎖 Honors and Services

  • Honors

    • 2022.12 Outstanding Student of UESTC.
    • 2022.10 National Scholarship.
  • Academic Services

    • IEEE TPAMI, IEEE TIP, IEEE TMM, IEEE TNNLS, ICCV, CVPR, ECCV, AAAI, MM, etc.
  • Grand Challenges

    • ICME 2024: 1st Place Winner on Attribute Recognition track of Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC)
    • ICME 2024: 1st Place Winner on Person Reidentification track of Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC)
    • Ingenuity Cup 2024: 2nd Place award in the Grand Final of the 1st “Ingenuity Cup” National Artificial Intelligence Innovation Application Competition.
    • Ingenuity Cup 2024: 1st Place award on the Multimodal Technology, Technology Innovation Track of the 1st “Ingenuity Cup” National Artificial Intelligence Innovation Application Competition.
    • ECCV 2022: DeeperAction Challenge 3rd place award on Track 4 Kinetics-TPS Challenge on Part-level Action Parsing.
    • OPPO 2021: Security Challenge 3rd Place award.

📖 Educations

  • 2019.09 - 2023.06, Ph.D, Computer Science and Technology, University of Electronic Science and Technology of China (UESTC).
  • 2016.09 - 2019.06, M.S., Computer Technology, University of Electronic Science and Technology of China (UESTC).
  • 2012.09 - 2016.06, B.S., Digital Media Technology, Xi’an University of Technology (XUT).

💻 Research Grants

  • 2025.01 - 2027.12, Young Scientists Fund of the National Natural Science Foundation of China: “Research on Efficient Cross-Modal Retrieval Theory and Technology for Open Scenarios”, Lead PI
  • 2025.01 - 2026.12, Young Scientists Fund of the Sichuan Provincial Department of Science and Technology: “Theoretical and Methodological Study on Efficient Adaptive Learning for Open-Scenario Multimodal Autonomous Intelligence”, Lead PI
  • 2022.04 - 2023.11, Sichuan Science and Technology Program of the Sichuan Provincial Department of Science and Technology: “Research on Vision-Text Collaborative Learning for Semantic Understanding”, Lead PI

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