Search Results for author: Hong Shen

Found 13 papers, 0 papers with code

Radio Frequency Fingerprints Extraction for LTE-V2X: A Channel Estimation Based Methodology

no code implementations4 Jan 2023 Tianshu Chen, Hong Shen, Aiqun Hu, Weihang He, Jie Xu, Hongxing Hu

Then, we remove the impact of the wireless channel based on the channel estimate and obtain initial RFF features.

Denoising

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice

no code implementations7 Oct 2022 Wesley Hanwen Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen, Motahhare Eslami, Kenneth Holstein

Recent years have seen growing interest among both researchers and practitioners in user-engaged approaches to algorithm auditing, which directly engage users in detecting problematic behaviors in algorithmic systems.

BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification

no code implementations14 May 2022 Wenhao Huang, Haifan Gong, huan zhang, Yu Wang, Haofeng Li, Guanbin Li, Hong Shen

CT-based bronchial tree analysis plays an important role in the computer-aided diagnosis for respiratory diseases, as it could provide structured information for clinicians.

Classification Graph Learning +2

"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains

no code implementations22 Apr 2022 Hong Shen, Ángel Alexander Cabrera, Adam Perer, Jason Hong

This position paper offers a framework to think about how to better involve human influence in algorithmic decision-making of contentious public policy issues.

Decision Making

A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing

no code implementations21 Dec 2021 Xin Wang, Hong Shen

Coflow is a recently proposed networking abstraction to help improve the communication performance of data-parallel computing jobs.

Scheduling

TaCE: Time-aware Convolutional Embedding Learning for Temporal Knowledge Graph Completion

no code implementations29 Sep 2021 Jin Luo, Hong Shen, YanFeng Hu, Chen Peng

Temporal knowledge graph completion (TKGC) is a challenging task to infer the missing component for quadruples.

Temporal Knowledge Graph Completion

ICINet: ICI-Aware Neural Network Based Channel Estimation for Rapidly Time-Varying OFDM Systems

no code implementations18 Jun 2021 Yi Sun, Hong Shen, Zhenguo Du, Lan Peng, Chunming Zhao

A novel intercarrier interference (ICI)-aware orthogonal frequency division multiplexing (OFDM) channel estimation network ICINet is presented for rapidly time-varying channels.

Hadron-quark mixed phase in the quark-meson coupling model

no code implementations24 Feb 2021 Min Ju, Xuhao Wu, Fan Ji, Jinniu Hu, Hong Shen

Using a consistent value of B in the QMC model and quark matter, we find that hadron-quark pasta phases are formed in the interior of massive stars, but no pure quark matter can exist.

Nuclear Theory

NEMR: Network Embedding on Metric of Relation

no code implementations20 Jan 2021 Luodi Xie, Hong Shen, Jiaxin Ren

In this paper, We propose a novel method called Network Embedding on the Metric of Relation, abbreviated as NEMR, which can learn the embeddings of nodes in a relational metric space efficiently.

Link Prediction Network Embedding +2

Symmetry energy effect on the secondary component of GW190814 as a neutron star

no code implementations14 Jan 2021 Xuhao Wu, Shishao Bao, Hong Shen, Renxin Xu

The constraints from the mass of 2. 6 $M_{\odot}$ and the tidal deformability $\Lambda_{1. 4}=616_{-158}^{+273}$ (based on the assumption that GW190814 is a neutron star-black hole binary) can be satisfied as the slope of symmetry energy $L \leq 50$ MeV.

Nuclear Theory High Energy Astrophysical Phenomena

Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation

no code implementations22 Oct 2020 Hong Shen, Wesley Hanwen Deng, Aditi Chattopadhyay, Zhiwei Steven Wu, Xu Wang, Haiyi Zhu

In this paper, we present Value Card, an educational toolkit to inform students and practitioners of the social impacts of different machine learning models via deliberation.

BIG-bench Machine Learning Ethics +1

Differentially Private k-Means Clustering with Guaranteed Convergence

no code implementations3 Feb 2020 Zhigang Lu, Hong Shen

This problem severely impacts the clustering quality and the efficiency of a differentially private algorithm.

Inference Attack

Neural Variational Hybrid Collaborative Filtering

no code implementations12 Oct 2018 Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng

Specifically, we consider both the generative processes of users and items, and the prior of latent factors of users and items to be side informationspecific, which enables our model to alleviate matrix sparsity and learn better latent representations of users and items.

Collaborative Filtering Recommendation Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.