Search Results for author: Liu

Found 8 papers, 4 papers with code

The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI

no code implementations20 Mar 2024 Matt White, Ibrahim Haddad, Cailean Osborne, Xiao-Yang, Liu, Ahmed Abdelmonsef, Sachin Varghese

Generative AI (GAI) offers unprecedented possibilities but its commercialization has raised concerns about transparency, reproducibility, bias, and safety.

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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