Zhongzhan Huang

Orcid: 0000-0001-8422-2898

According to our database1, Zhongzhan Huang authored at least 24 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima.
CoRR, 2024

2023
ESA: Excitation-Switchable Attention for convolutional neural networks.
Neurocomputing, November, 2023

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation.
CoRR, 2023

ASR: Attention-alike Structural Re-parameterization.
CoRR, 2023

On Robust Numerical Solver for ODE via Self-Attention Mechanism.
CoRR, 2023

ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Understanding Self-attention Mechanism via Dynamical System Perspective.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Layer-wise Shared Attention Network on Dynamical System Perspective.
CoRR, 2022

Deepening Neural Networks Implicitly and Locally via Recurrent Attention Strategy.
CoRR, 2022

Causal Inference for Chatting Handoff.
CoRR, 2022

Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec.
CoRR, 2022

The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network.
CoRR, 2022

Stiffness-aware neural network for learning Hamiltonian systems.
Proceedings of the Tenth International Conference on Learning Representations, 2022

CEM: Machine-Human Chatting Handoff via Causal-Enhance Module.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training.
CoRR, 2021

Rethinking the Pruning Criteria for Convolutional Neural Network.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Blending Pruning Criteria for Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Efficient Attention Network: Accelerate Attention by Searching Where to Plug.
CoRR, 2020

Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning.
CoRR, 2020

Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

DIANet: Dense-and-Implicit Attention Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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