Search Results for author: Peng Yao

Found 11 papers, 2 papers with code

ASP: Automatic Selection of Proxy dataset for efficient AutoML

no code implementations17 Oct 2023 Peng Yao, Chao Liao, Jiyuan Jia, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang

Deep neural networks have gained great success due to the increasing amounts of data, and diverse effective neural network designs.

Neural Architecture Search

USDC: Unified Static and Dynamic Compression for Visual Transformer

no code implementations17 Oct 2023 Huan Yuan, Chao Liao, Jianchao Tan, Peng Yao, Jiyuan Jia, Bin Chen, Chengru Song, Di Zhang

To alleviate two disadvantages of two categories of methods, we propose to unify the static compression and dynamic compression techniques jointly to obtain an input-adaptive compressed model, which can further better balance the total compression ratios and the model performances.

Model Compression

FPTQ: Fine-grained Post-Training Quantization for Large Language Models

no code implementations30 Aug 2023 Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie

In this study, we propose a novel W4A8 post-training quantization method for the available open-sourced LLMs, which combines the advantages of both two recipes.

Quantization

MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation

1 code implementation27 Jul 2023 Liang Xu, Mingxiao Chen, Yi Cheng, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu

The Cross Perceptron first captures the local correlations using multiple Multi-scale Cross Perceptron modules, facilitating the fusion of features across scales.

Image Segmentation Medical Image Segmentation +2

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Data Classification

no code implementations24 May 2022 Liang Xu, Yi Cheng, Fan Zhang, Bingxuan Wu, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu

This loss is effective in addressing quantity imbalances and outliers, while regulating the focus of attention on samples with varying classification difficulties.

Classification imbalanced classification +1

An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization

no code implementations28 Jul 2021 Fan Zhang, Bo Pan, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu

In this research, we propose a novel end-to-end deep learning approach for automated diagnosis of AD and localization of important brain regions related to the disease from sMRI data.

Data Augmentation

Vatex Video Captioning Challenge 2020: Multi-View Features and Hybrid Reward Strategies for Video Captioning

no code implementations17 Oct 2019 Xinxin Zhu, Longteng Guo, Peng Yao, Shichen Lu, Wei Liu, Jing Liu

This report describes our solution for the VATEX Captioning Challenge 2020, which requires generating descriptions for the videos in both English and Chinese languages.

Video Captioning

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