Shanshan Zhong

Hello there! I am a final-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 revolve around multimodal understanding and generation, including 3D/2D generation, multimodal large lanugage models, and multimodal recommender systems. I am also open to trying new ideas as well! 🤩

🙌 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, IEEE TMM
Invited Conference Reviewer: ICLR, NeurIPS, CVPR, ICCV, WWW, ECCV, AAAI, ICASSP, ACM MM

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

News

Jul, 2024	One paper “ASR” accepted by ECCV’24
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)

ECCV’24

ASR: Attention-alike structural re-parameterization

Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, and Liang Lin

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

Bib PDF

@inproceedings{zhong2023asr,
  title = {ASR: Attention-alike structural re-parameterization},
  author = {Zhong, Shanshan and Huang, Zhongzhan and Wen, Wushao and Qin, Jinghui and Lin, Liang},
  booktitle = {The International Conference on Machine Learning (<strong>ECCV</strong>)},
  year = {2024}
}

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}
}

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}
}