Search Results for author: Yuqiao Liu

Found 9 papers, 3 papers with code

DAS: Neural Architecture Search via Distinguishing Activation Score

no code implementations23 Dec 2022 Yuqiao Liu, Haipeng Li, Yanan sun, Shuaicheng Liu

NAS without training (WOT) score is such a metric, which estimates the final trained accuracy of the architecture through the ability to distinguish different inputs in the activation layer.

Neural Architecture Search

Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor

2 code implementations NeurIPS 2022 Yuqiao Liu, Yehui Tang ~Yehui_Tang1, Zeqiong Lv, Yunhe Wang, Yanan sun

To solve this issue, we propose a Cross-Domain Predictor (CDP), which is trained based on the existing NAS benchmark datasets (e. g., NAS-Bench-101), but can be used to find high-performance architectures in large-scale search spaces.

Neural Architecture Search

Architecture Augmentation for Performance Predictor Based on Graph Isomorphism

no code implementations3 Jul 2022 Xiangning Xie, Yuqiao Liu, Yanan sun, Mengjie Zhang, Kay Chen Tan

Performance predictors can greatly alleviate the prohibitive cost of NAS by directly predicting the performance of DNNs.

Neural Architecture Search

Evolving Deep Neural Networks for Collaborative Filtering

no code implementations15 Nov 2021 Yuhan Fang, Yuqiao Liu, Yanan sun

As a consequence, it requires the designers to develop expertise in both CF and DNNs, which limits the application of deep learning methods in CF and the accuracy of recommended results.

Collaborative Filtering Recommendation Systems

BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search

1 code implementation9 Aug 2021 Xiangning Xie, Yuqiao Liu, Yanan sun, Gary G. Yen, Bing Xue, Mengjie Zhang

The paper conducts efficient comparison experiments on eight ENAS algorithms with high GPU utilization on this platform.

Benchmarking Neural Architecture Search

Homogeneous Architecture Augmentation for Neural Predictor

1 code implementation ICCV 2021 Yuqiao Liu, Yehui Tang, Yanan sun

Specifically, a homogeneous architecture augmentation algorithm is proposed in HAAP to generate sufficient training data taking the use of homogeneous representation.

Neural Architecture Search

Transgender Community Sentiment Analysis from Social Media Data: A Natural Language Processing Approach

no code implementations25 Oct 2020 Yuqiao Liu, Yudan Wang, Ying Zhao, Zhixiang Li

Transgender community is experiencing a huge disparity in mental health conditions compared with the general population.

Sentiment Analysis

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising

no code implementations15 Aug 2020 Yuqiao Liu, Yanan sun, Bing Xue, Mengjie Zhang

Hyperspectral images (HSIs) are susceptible to various noise factors leading to the loss of information, and the noise restricts the subsequent HSIs object detection and classification tasks.

Hyperspectral Image Denoising Image Denoising +2

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