Zhongzhan Huang

According to our database, Zhongzhan Huang authored at least 33 papers between 2020 and 2025.

Collaborative distances:

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

2025

A generic shared attention mechanism for various backbone neural networks.

Zhongzhan Huang, Senwei Liang, Mingfu Liang

Neurocomputing, 2025

Flat Local Minima for Continual Learning on Semantic Segmentation.

Zhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan Zhong

Proceedings of the MultiMedia Modeling, 2025

2024

An Introspective Data Augmentation Method for Training Math Word Problem Solvers.

Jinghui Qin, Zhongzhan Huang, Ying Zeng, Quanshi Zhang, Liang Lin

IEEE ACM Trans. Audio Speech Lang. Process., 2024

AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment.

Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin

CoRR, 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

Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network^*.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

On Robust Numerical Solver for ODE via Self-Attention Mechanism.

Zhongzhan Huang, Mingfu Liang, Liang Lin

CoRR, 2023

ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection.

Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Layer-wise Shared Attention Network on Dynamical System Perspective.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin

CoRR, 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

Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec.

Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin

CoRR, 2022

The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin

CoRR, 2022

Stiffness-aware neural network for learning Hamiltonian systems.

Senwei Liang, Zhongzhan Huang, Hong Zhang

Proceedings of the Tenth International Conference on Learning Representations, 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

AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training.

Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He

CoRR, 2021

Rethinking the Pruning Criteria for Convolutional Neural Network.

Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp.

Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Blending Pruning Criteria for Convolutional Neural Networks.

Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Efficient Attention Network: Accelerate Attention by Searching Where to Plug.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang

CoRR, 2020

Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning.

Zhongzhan Huang, Xinjiang Wang, Ping Luo

CoRR, 2020

Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise.

Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

DIANet: Dense-and-Implicit Attention Network.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020