Shanshan Zhong

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

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: 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)

Selected Publications

ICML’24

AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios

Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, and Liang Lin

In The International Conference on Machine Learning (ICML), 2024

Bib PDF Code

@inproceedings{huang2024attsolver,
  title = {AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios},
  author = {Huang, Zhongzhan and Liang, Mingfu and Zhong, Shanshan and Lin, Liang},
  booktitle = {The International Conference on Machine Learning (<strong>ICML</strong>)},
  year = {2024}
}

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

arXiv Bib Code

@inproceedings{zhong2023let,
  title = {Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation},
  author = {Zhong, Shanshan and Huang, Zhongzhan and Gao, Shanghua and Wen, Wushao and Lin, Liang and Zitnik, Marinka and Zhou, Pan},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (<strong>CVPR</strong>)},
  year = {2024}
}

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

arXiv Bib Code

@inproceedings{zhong2024mirror,
  title = {Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima},
  author = {Zhong, Shanshan and Huang, Zhongzhan and Li, Daifeng and Wen, Weushao and Qin, Jinghui and Lin, Liang},
  booktitle = {Proceedings of the ACM Web Conference 2024 (<strong>WWW</strong>)},
  year = {2024}
}

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

arXiv Bib Code

@inproceedings{zhong2023adapter,
  title = {SUR-adapter: Enhancing text-to-image pre-trained diffusion models with large language models},
  author = {Zhong, Shanshan and Huang, Zhongzhan and Wen, Wushao and Qin, Jinghui and Lin, Liang},
  booktitle = {31th ACM International Conference on Multimedia (<strong>ACM MM </strong> <strong style="color:red;">Oral</strong>)},
  year = {2023},
  organization = {ACM Press}
}

ICCV’23

Understanding Self-attention Mechanism via Dynamical System Perspective

Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, and Liang Lin

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

arXiv Bib

@inproceedings{huang2023understanding,
  title = {Understanding Self-attention Mechanism via Dynamical System Perspective},
  author = {Huang, Zhongzhan and Liang, Mingfu and Qin, Jinghui and Zhong, Shanshan and Lin, Liang},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (<strong>ICCV</strong>)},
  year = {2023}
}

ICME’23

LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem

Shanshan Zhong, Wushao Wen, Jinghui Qin, Qiangpu Chen, and Zhongzhan Huang

In IEEE International Conference on Multimedia & Expo (ICME Oral), 2023

arXiv Bib Code

@inproceedings{zhong2023lsas,
  title = {LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem},
  author = {Zhong, Shanshan and Wen, Wushao and Qin, Jinghui and Chen, Qiangpu and Huang, Zhongzhan},
  booktitle = {IEEE International Conference on Multimedia & Expo (<strong>ICME</strong> <strong style="color:red;">Oral</strong>)},
  year = {2023}
}

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

Bib PDF Code

@inproceedings{zhong2022cem,
  title = {CEM: Machine-Human Chatting Handoff via Causal-Enhance Module},
  author = {Zhong, Shanshan and Qin, Jinghui and Huang, Zhongzhan and Li, Daifeng},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (<strong>EMNLP</strong>)},
  pages = {3242--3253},
  year = {2022}
}