Huang, Zhongzhan

9 publications

ICML 2024 AttNS: Attention-Inspired Numerical Solving for Limited Data Scenarios Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin

CVPR 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

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

NeurIPS 2023 ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin

ICCV 2023 Understanding Self-Attention Mechanism via Dynamical System Perspective Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin

ICLR 2022 Stiffness-Aware Neural Network for Learning Hamiltonian Systems Senwei Liang, Zhongzhan Huang, Hong Zhang

NeurIPS 2021 Rethinking the Pruning Criteria for Convolutional Neural Network Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo

AAAI 2020 DIANet: Dense-and-Implicit Attention Network Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

AAAI 2020 Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang