Shanshan Zhong (钟珊珊)

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Hello there! I am a second-year master student from the School of Computer Science and Engineering at Sun Yat-sen University, advised by IEEE Fellow Prof. Liang Lin and Prof. Wushao Wen. My research interests primarily revolve around multimodality, including multimodal large lanugage models, diffusion models, and multimodal recommender systems.

I am seeking a PhD position starting in Fall '25! Please feel free to drop me an email!

Academic Service
Invited Journal Reviewer: IEEE TKDE
Invited Conference Reviewer: NeurIPS, ACL, EMNLP, ACM MM, ICASSP, ICME, MMM

Contact Information
Email: zhongshsh5@mail2.sysu.edu.cn
Google Scholar: Shanshan Zhong on Google Scholar



News

May, 2024 One paper “AttNS” accepted by ICML’24
Feb, 2024 One paper “CLoT” accepted by CVPR’24
Jan, 2024 One paper “Mirror Gradient” accepted by WWW’24
Aug, 2023 One paper “StepNet” accepted by ICCV’23
Jul, 2023 One paper “SUR-adapter” accepted by ACM MM’23 (Oral)
Oct, 2022 One paper “CEM” accepted by EMNLP’22

Selected Publications (click here for all)

  1. zhong2023let.png
    CVPR’24
    Let’s Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
    Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, and Pan Zhou
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  2. zhong2024mirror.png
    WWW’24
    Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima
    Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Weushao Wen, Jinghui Qin, and Liang Lin
    In Proceedings of the ACM Web Conference 2024 (WWW), 2024
  3. zhong2023adapter.png
    ACM MM’23
    SUR-adapter: Enhancing text-to-image pre-trained diffusion models with large language models
    Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, and Liang Lin
    In 31th ACM International Conference on Multimedia (ACM MM Oral), 2023
  4. zhong2022cem.png
    EMNLP’22
    CEM: Machine-Human Chatting Handoff via Causal-Enhance Module
    Shanshan Zhong, Jinghui Qin, Zhongzhan Huang, and Daifeng Li
    In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022