Search Results for author: Liu

Found 9 papers, 4 papers with code

Domain generalization for retinal vessel segmentation via Hessian-based vector field

no code implementations Medical Image Analysis 2024 Hu, DW (Hu, Dewei), Li, H (Li, Hao), Liu, H (Liu, Han), Oguz, I (Oguz, Ipek)

Blessed by vast amounts of data, learning -based methods have achieved remarkable performance in countless tasks in computer vision and medical image analysis.

Data Augmentation Domain Generalization +1

ICE-SEARCH: A Language Model-Driven Feature Selection Approach

no code implementations28 Feb 2024 Tianze Yang, Tianyi Yang, Fuyuan Lyu, Shaoshan Liu, Xue, Liu

This study unveils the In-Context Evolutionary Search (ICE-SEARCH) method, which is among the first works that melds large language models (LLMs) with evolutionary algorithms for feature selection (FS) tasks and demonstrates its effectiveness in Medical Predictive Analytics (MPA) applications.

Diabetes Prediction Disease Prediction +4

Low Overhead Beam Alignment for Mobile Millimeter Channel Based on Continuous-Time Prediction

2 code implementations3 Nov 2023 Huang-Chou Lin, Kuang-Hao, Liu

Extensive simulations are conducted to evaluate the performance of the proposed AOBA in comparison with several existing beam alignment schemes.

Substructure Aware Graph Neural Networks

1 code implementation Proceedings of the AAAI Conference on Artificial Intelligence 2023 Zeng, D., Liu, Chen, W., Zhou, L., Zhang, M., & Qu, H

Despite the great achievements of Graph Neural Networks (GNNs) in graph learning, conventional GNNs struggle to break through the upper limit of the expressiveness of first-order Weisfeiler-Leman graph isomorphism test algorithm (1-WL) due to the consistency of the propagation paradigm of GNNs with the 1-WL. Based on the fact that it is easier to distinguish the original graph through subgraphs, we propose a novel framework neural network framework called Substructure Aware Graph Neural Networks (SAGNN) to address these issues.

Graph Learning Graph Regression

Average AoI Minimization for Energy Harvesting Relay-aided Status Update Network Using Deep Reinforcement Learning

1 code implementation2 Jun 2023 Sin-Yu Huang, Kuang-Hao, Liu

A dual-hop status update system aided by energy harvesting (EH) relays with finite data and energy buffers is studied in this work.

Research on Parallel SVM Algorithm Based on Cascade SVM

no code implementations11 Mar 2022 Yi Cheng, Xiaoyan, Liu

At the same time, it proves that the accuracy of the model obtained by BCSVM algorithm is higher than that of CSVM.

A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem

no code implementations16 Jul 2020 Zhiyuan Liu, Huazheng Wang, Bo Waggoner, Youjian, Liu, Lijun Chen

We investigate the sparse linear contextual bandit problem where the parameter $\theta$ is sparse.

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