Shanshan Zhong

According to our database, Shanshan Zhong authored at least 24 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos.

Shanshan Zhong, Jiawei Peng, Zehan Zheng, Zhongzhan Huang, Wufei Ma, Guofeng Zhang, Qihao Liu, Alan L. Yuille, Jieneng Chen

CoRR, July, 2025

A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models.

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

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs.

Zhongzhan Huang, Guoming Ling, Vincent S. Liang, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin

CoRR, March, 2025

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

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

Proceedings of the ACM on Web Conference 2025, 2025

Flat Local Minima for Continual Learning on Semantic Segmentation.

Zhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan Zhong

Proceedings of the MultiMedia Modeling, 2025

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

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima.

Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin

Proceedings of the ACM on Web Conference 2024, 2024

AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios.

Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks.

Shanshan Zhong, Wushao Wen, Jinghui Qin, Zhongzhan Huang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Stripe Observation Guided Inference Cost-Free Attention Mechanism.

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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, Pan Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MoExtend: Tuning New Experts for Modality and Task Extension.

Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

ESA: Excitation-Switchable Attention for convolutional neural networks.

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

Neurocomputing, November, 2023

ASR: Attention-alike Structural Re-parameterization.

ShanShan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin

CoRR, 2023

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

ShanShan Zhong, Wushao Wen, Jinghui Qin

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models.

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

Proceedings of the 31st ACM International Conference on Multimedia, 2023

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

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

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Understanding Self-attention Mechanism via Dynamical System Perspective.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deepening Neural Networks Implicitly and Locally via Recurrent Attention Strategy.

ShanShan Zhong, Wushao Wen, Jinghui Qin, Zhongzhan Huang

CoRR, 2022

Causal Inference for Chatting Handoff.

ShanShan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li

CoRR, 2022

Switchable Self-attention Module.

ShanShan Zhong, Wushao Wen, Jinghui Qin

CoRR, 2022

Mix-Pooling Strategy for Attention Mechanism.

ShanShan Zhong, Wushao Wen, Jinghui Qin

CoRR, 2022

CEM: Machine-Human Chatting Handoff via Causal-Enhance Module.

ShanShan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

AB-ALSTM Model for Autism Early Warning Based on Behavioral Characteristics.

ShanShan Zhong, Jiaye Lin, Dayu Huang, Manning Lu, Daifeng Li

Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021