2025

1. 

   ACL’25

   MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models

   Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, and Liang Lin

   In Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics (ACL Outstanding Paper), 2025

   Bib PDF

   @inproceedings{huang2025minilongbench,
     title = {MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models},
     author = {Huang, Zhongzhan and Ling, Guoming and Zhong, Shanshan and Wu, Hefeng and Lin, Liang},
     booktitle = {Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics (<strong>ACL</strong> <strong style="color:red;">Outstanding Paper</strong>)},
     year = {2025},
   }

2. 

   WWW’25

   DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation

   Wenkuan Zhao*, Shanshan Zhong*, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, and Zhongzhan Huang

   In Proceedings of the ACM on Web Conference 2025 (WWW), 2025

   Bib PDF

   @inproceedings{zhao2025dvib,
     title = {DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation},
     author = {Zhao*, Wenkuan and Zhong*, Shanshan and Liu, Yifan and Wen, Wushao and Qin, Jinghui and Liang, Mingfu and Huang, Zhongzhan},
     booktitle = {Proceedings of the ACM on Web Conference 2025 (<strong>WWW</strong>)},
     pages = {2549--2561},
     year = {2025}
   }

3. 

   TPAMI

   A causality-aware paradigm for evaluating creativity of multimodal large language models

   Zhongzhan Huang*, Shanshan Zhong*, Pan Zhou, Shanghua Gao, Marinka Zitnik, and Liang Lin

   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

   Bib PDF

   @article{huang2025causality,
     title = {A causality-aware paradigm for evaluating creativity of multimodal large language models},
     author = {Huang*, Zhongzhan and Zhong*, Shanshan and Zhou, Pan and Gao, Shanghua and Zitnik, Marinka and Lin, Liang},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (<strong>TPAMI</strong>)},
     year = {2025},
     publisher = {IEEE}
   }

4. 

   MMM’25

   Flat local minima for continual learning on semantic segmentation

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

   In International Conference on Multimedia Modeling (MMM Best Paper Candidate), 2025

   Bib PDF

   @inproceedings{huang2025flat,
     title = {Flat local minima for continual learning on semantic segmentation},
     author = {Huang, Zhongzhan and Liang, Mingfu and Liang, Senwei and Zhong, Shanshan},
     booktitle = {International Conference on Multimedia Modeling (<strong>MMM</strong> <strong style="color:red;">Best Paper Candidate</strong>)},
     pages = {388--400},
     year = {2025},
     organization = {Springer}
   }

2024

1. 

   ECCV’24

   Stripe Observation Guided Inference Cost-free Attention Mechanism

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

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

   Bib PDF

   @inproceedings{zhong2023asr,
     title = {Stripe Observation Guided Inference Cost-free Attention Mechanism},
     author = {Huang*, Zhongzhan and Zhong*, Shanshan and Wen, Wushao and Qin, Jinghui and Lin, Liang},
     booktitle = {The International Conference on Machine Learning (<strong>ECCV</strong>)},
     year = {2024}
   }

2. 

   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}
   }

3. 

   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}
   }

4. 

   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}
   }

2023

1. 

   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}
   }

2. 

   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}
   }

3. 

   Neurocomp.

   ESA: Excitation-Switchable Attention for convolutional neural networks

   Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Zhijing Yang, and Jinghui Qin

   Neurocomputing, 2023

   arXiv Bib Code

   @article{zhong2023esa,
     title = {ESA: Excitation-Switchable Attention for convolutional neural networks},
     author = {Zhong, Shanshan and Huang, Zhongzhan and Wen, Wushao and Yang, Zhijing and Qin, Jinghui},
     journal = {<strong>Neurocomputing</strong>},
     pages = {126706},
     year = {2023},
     publisher = {Elsevier}
   }

4. 

   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}
   }

5. 

   MMM’23

   SPEM: Self-adaptive Pooling Enhanced Attention Module for Image Recognition

   Shanshan Zhong, Wushao Wen, and Jinghui Qin

   In International Conference on Multimedia Modeling (MMM), 2023

   arXiv Bib Code

   @inproceedings{zhong2023spem,
     title = {SPEM: Self-adaptive Pooling Enhanced Attention Module for Image Recognition},
     author = {Zhong, Shanshan and Wen, Wushao and Qin, Jinghui},
     booktitle = {International Conference on Multimedia Modeling (<strong>MMM</strong>)},
     pages = {41--53},
     year = {2023},
     organization = {Springer}
   }

2022

1. 

   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}
   }