AB-ALSTM Model for Autism Early Warning Based on Behavioral Characteristics. - ShanShan Zhong; Jiaye Lin; Dayu Huang; Manning Lu; Daifeng Li (ICMLSC, 2021)

CEM: Machine-Human Chatting Handoff via Causal-Enhance Module. - ShanShan Zhong; Jinghui Qin; Zhongzhan Huang; Daifeng Li (EMNLP, 2022)

Mix-Pooling Strategy for Attention Mechanism. - ShanShan Zhong; Wushao Wen; Jinghui Qin (CoRR, 2022)

Switchable Self-attention Module. - ShanShan Zhong; Wushao Wen; Jinghui Qin (CoRR, 2022)

Causal Inference for Chatting Handoff. - ShanShan Zhong; Jinghui Qin; Zhongzhan Huang; Daifeng Li (CoRR, 2022)

Deepening Neural Networks Implicitly and Locally via Recurrent Attention Strategy. - ShanShan Zhong; Wushao Wen; Jinghui Qin; Zhongzhan Huang (CoRR, 2022)

Understanding Self-attention Mechanism via Dynamical System Perspective. - Zhongzhan Huang; Mingfu Liang; Jinghui Qin; Shanshan Zhong; Liang Lin (ICCV, 2023)

LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem. - Shanshan Zhong; Wushao Wen; Jinghui Qin; Qiangpu Chen; Zhongzhan Huang (ICME, 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 (ACM Multimedia, 2023)

SPEM: Self-adaptive Pooling Enhanced Attention Module for Image Recognition. - ShanShan Zhong; Wushao Wen; Jinghui Qin (MMM (2), 2023)

ASR: Attention-alike Structural Re-parameterization. - ShanShan Zhong; Zhongzhan Huang; Wushao Wen; Jinghui Qin; Liang Lin (CoRR, 2023)

ESA: Excitation-Switchable Attention for convolutional neural networks. - Shanshan Zhong; Zhongzhan Huang; Wushao Wen; Zhijing Yang; Jinghui Qin (Neurocomputing, 2023)

MoExtend: Tuning New Experts for Modality and Task Extension. - Shanshan Zhong; Shanghua Gao; Zhongzhan Huang; Wushao Wen; Marinka Zitnik; Pan Zhou 002 (ACL (Student Research Workshop), 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 002 (CVPR, 2024)

Stripe Observation Guided Inference Cost-Free Attention Mechanism. - Zhongzhan Huang; Shanshan Zhong; Wushao Wen; Jinghui Qin; Liang Lin (ECCV (24), 2024)

DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks. - Shanshan Zhong; Wushao Wen; Jinghui Qin; Zhongzhan Huang (ICANN (1), 2024)

AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. - Zhongzhan Huang; Mingfu Liang; Shanshan Zhong; Liang Lin (ICML, 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 (WWW, 2024)

MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models. - Zhongzhan Huang; Guoming Ling; Shanshan Zhong; Hefeng Wu; Liang Lin (ACL (1), 2025)

Flat Local Minima for Continual Learning on Semantic Segmentation. - Zhongzhan Huang; Mingfu Liang; Senwei Liang; Shanshan Zhong (MMM (1), 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 (WWW, 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, 2025)

A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. - Zhongzhan Huang; Shanshan Zhong; Pan Zhou 002; Shanghua Gao; Marinka Zitnik; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos. - Shanshan Zhong; Jiawei Peng; Zehan Zheng; Zhongzhan Huang; Wufei Ma; Guofeng Zhang 025; Qihao Liu; Alan L. Yuille; Jieneng Chen (CoRR, 2025)