Search Results for author: Huiqi Li

Found 9 papers, 4 papers with code

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

no code implementations14 Feb 2022 Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu

However, although numerous algorithms are proposed based on fundus images or OCT volumes in computer-aided diagnosis, there are still few methods leveraging both of the modalities for the glaucoma assessment.

Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement

1 code implementation NeurIPS 2020 Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, ZongYuan Ge, Steven Su

A probabilistic exploration enhancement method is accordingly devised to encourage intelligent exploration during the architecture search in the latent space, to avoid local optimal in architecture search.

Bilevel Optimization Neural Architecture Search

Automatic Analysis System of Calcaneus Radiograph: Rotation-Invariant Landmark Detection for Calcaneal Angle Measurement, Fracture Identification and Fracture Region Segmentation

no code implementations10 Dec 2019 Jia Guo, Yuxuan Mu, Dong Xue, Huiqi Li, Junxian Chen, Huanxin Yan, Hailin Xu, Wei Wang

This study aims to develop an analysis system that can automatically locate four anatomic landmarks, measure BA and CAG for fracture assessment, identify fractured calcaneus, and segment fractured regions.

Multi-Task Learning Segmentation

Efficient Novelty-Driven Neural Architecture Search

no code implementations22 Jul 2019 Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven Su

The best architecture obtained by our algorithm with the same search space achieves the state-of-the-art test error rate of 2. 51\% on CIFAR-10 with only 7. 5 hours search time in a single GPU, and a validation perplexity of 60. 02 and a test perplexity of 57. 36 on PTB.

Neural Architecture Search Test

High Dimensional Bayesian Optimization via Supervised Dimension Reduction

1 code implementation21 Jul 2019 Miao Zhang, Huiqi Li, Steven Su

Furthermore, a kernel trick is developed to reduce computational complexity and learn nonlinear subset of the unknowing function when applying SIR to extremely high dimensional BO.

Bayesian Optimization Dimensionality Reduction +1

Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization

1 code implementation2 Jan 2019 Miao Zhang, Huiqi Li, Juan Lyu, Sai Ho Ling, Steven Su

In this paper, a non-stationary kernel is proposed which allows the surrogate model to adapt to functions whose smoothness varies with the spatial location of inputs, and a multi-level convolutional neural network (ML-CNN) is built for lung nodule classification whose hyperparameter configuration is optimized by using the proposed non-stationary kernel based Gaussian surrogate model.

Bayesian Optimization Gaussian Processes +3

Synthesizing Filamentary Structured Images with GANs

1 code implementation7 Jun 2017 He Zhao, Huiqi Li, Li Cheng

This paper aims at synthesizing filamentary structured images such as retinal fundus images and neuronal images, as follows: Given a ground-truth, to generate multiple realistic looking phantoms.

Style Transfer

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