Search Results for author: Wenyu Sun

Found 9 papers, 3 papers with code

Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models

1 code implementation9 Dec 2023 Hyuna Kwon, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Matthew R. Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham

In this work, we introduce a new framework based on the diffusion model, a recent generative machine learning method to predict 3D structures of disordered materials from a target property.

Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings

no code implementations30 Jun 2023 Yuan Zhang, Jian Cao, Ling Zhang, Jue Chen, Wenyu Sun, YuAn Wang

The event streams generated by dynamic vision sensors (DVS) are sparse and non-uniform in the spatial domain, while still dense and redundant in the temporal domain.

Masked Contrastive Pre-Training for Efficient Video-Text Retrieval

1 code implementation2 Dec 2022 Fangxun Shu, Biaolong Chen, Yue Liao, Shuwen Xiao, Wenyu Sun, Xiaobo Li, Yousong Zhu, Jinqiao Wang, Si Liu

Our MAC aims to reduce video representation's spatial and temporal redundancy in the VidLP model by a mask sampling mechanism to improve pre-training efficiency.

Ranked #36 on Video Retrieval on MSR-VTT-1kA (using extra training data)

Retrieval Text Retrieval +1

AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance

no code implementations14 Sep 2021 Xiangcheng Liu, Jian Cao, Hongyi Yao, Wenyu Sun, Yuan Zhang

While previous pruning methods have mostly focused on identifying unimportant channels, channel pruning is considered as a special case of neural architecture search in recent years.

Image Classification Neural Architecture Search

An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution

no code implementations2 Dec 2020 Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Pu Li

We propose an efficient once-for-all budgeted pruning framework (OFARPruning) to find many compact network structures close to winner tickets in the early training stage considering the effect of input resolution during the pruning process.

Image Classification object-detection +1

Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks

no code implementations29 Nov 2020 Pengtao Xu, Jian Cao, Fanhua Shang, Wenyu Sun, Pu Li

For layer pruning, we convert convolutional layers of network into ResConv with a layer scaling factor.

Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs

no code implementations21 Oct 2020 Chen Tang, Wenyu Sun, Zhuqing Yuan, Yongpan Liu

To accelerate deep CNN models, this paper proposes a novel spatially adaptive framework that can dynamically generate pixel-wise sparsity according to the input image.

General Classification Image Classification +4

Cannot find the paper you are looking for? You can Submit a new open access paper.