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Chun Liu

Researcher at Illinois Institute of Technology

Publications -  518
Citations -  16965

Chun Liu is an academic researcher from Illinois Institute of Technology. The author has contributed to research in topics: Large Hadron Collider & Medicine. The author has an hindex of 62, co-authored 313 publications receiving 14670 citations. Previous affiliations of Chun Liu include Carnegie Mellon University & Courant Institute of Mathematical Sciences.

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Search for long-lived particles decaying into muon pairs in proton-proton collisions at s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt}

Armen Tumasyan, +2286 more
- 01 Apr 2022 - 
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Search for pair production of vector-like quarks in leptonic final states in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV

Armen Tumasyan, +2276 more
- 03 Jul 2023 - 
TL;DR: In this article , the authors presented a search for vector-like T and B quark-antiquark pairs produced in proton-proton collisions at a center-of-mass energy of 13 TeV.
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High-order variational Lagrangian schemes for compressible fluids

Guosheng Xu, +1 more
- 27 Feb 2023 - 
TL;DR: In this paper , a high-order variational Lagrangian finite element method for compressible fluids using a discrete energetic variational approach is presented, which is shown to be mass/momentum/energy conserving and entropy stable.
DOI

Multiscale Deep Features and Empirical Features Fusion-based Gearbox Fault Diagnosis

Chun Liu, +2 more
TL;DR: Wang et al. as mentioned in this paper proposed a fault diagnosis method for gearbox based on the fusion of multiscale deep features and empirical features, which can extract available information from various scales.
DOI

A Lightweight Flow-based DDoS Detection Approach using Dual Convolutional Kernels

Qingrong Liang, +3 more
TL;DR: Wang et al. as discussed by the authors proposed a lightweight detection framework based on Convolutional Neural Network (CNN), including a preprocessing mechanism for live traffic to extract data features, which are then fed into a network with dual convolutional kernels for training.