Mia Liu

Mia Liu

Purdue University

H-index: 224

North America-United States

About Mia Liu

Mia Liu, With an exceptional h-index of 224 and a recent h-index of 148 (since 2020), a distinguished researcher at Purdue University, specializes in the field of particle physics, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics

Development of CMOS Sensors for HEP with a US-based foundry

Search for doubly charged Higgs boson production in multi-lepton final states using 139 fb of proton–proton collisions at = 13 TeV with the ATLAS detector

Corrigendum: Applications and techniques for fast machine learning in science

Applications of Deep Learning to physics workflows

The US CMS HL-LHC R and D Strategic Plan

Semi-supervised graph neural networks for pileup noise removal

Studies of the muon momentum calibration and performance of the ATLAS detector with pp collisions at  TeV

Mia Liu Information

University

Purdue University

Position

___

Citations(all)

211834

Citations(since 2020)

96359

Cited By

10436

hIndex(all)

224

hIndex(since 2020)

148

i10Index(all)

657

i10Index(since 2020)

612

Email

University Profile Page

Purdue University

Mia Liu Skills & Research Interests

particle physics

machine learning

Top articles of Mia Liu

Title

Journal

Author(s)

Publication Date

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics

arXiv preprint arXiv:2402.12535

Siqi Miao

Zhiyuan Lu

Mia Liu

Javier Duarte

Pan Li

2024/2/19

Development of CMOS Sensors for HEP with a US-based foundry

A Apresyan

M Alyari

N Bacchetta

D Berry

T England

...

2024/1/17

Search for doubly charged Higgs boson production in multi-lepton final states using 139 fb of proton–proton collisions at = 13 TeV with the ATLAS detector

The European Physical Journal C

Georges Aad

B Abbott

DC Abbott

Kira Abeling

SH Abidi

...

2023/7/12

Corrigendum: Applications and techniques for fast machine learning in science

Allison McCarn Deiana

Nhan Tran

Joshua Agar

Michaela Blott

Giuseppe Di Guglielmo

...

2023/10/16

Applications of Deep Learning to physics workflows

arXiv preprint arXiv:2306.08106

Manan Agarwal

Jay Alameda

Jeroen Audenaert

Will Benoit

Damon Beveridge

...

2023/6/13

The US CMS HL-LHC R and D Strategic Plan

Oliver Gutsche

2023/8/25

Semi-supervised graph neural networks for pileup noise removal

The European Physical Journal C

Tianchun Li

Shikun Liu

Yongbin Feng

Garyfallia Paspalaki

Nhan Tran

...

2023

Studies of the muon momentum calibration and performance of the ATLAS detector with pp collisions at  TeV

The European Physical Journal C

Georges Aad

B Abbott

Kira Abeling

SH Abidi

Asmaa Aboulhorma

...

2023/8/1

Search for Resonances Decaying to Three W Bosons in Proton-Proton Collisions at root s= 13 TeV

arXiv preprint arXiv:2112.13090

CMS Collaboration

2021/12/24

Cold atoms in space: community workshop summary and proposed road-map

Iván Alonso

Cristiano Alpigiani

Brett Altschul

Henrique Araújo

Gianluigi Arduini

...

2022/12

arXiv: Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning

Phiala Shanahan

Oz Amram

Jernej F Kamenik

Andrej Matevc

Abhijith Gandrakota

...

2022/9/15

Search for invisible decays of the Higgs boson produced via vector boson fusion in proton-proton collisions at

arXiv preprint arXiv:2201.11585

CMS collaboration

2022/1/27

Data science and machine learning in education

arXiv preprint arXiv:2207.09060

Gabriele Benelli

Thomas Y Chen

Javier Duarte

Matthew Feickert

Matthew Graham

...

2022/7/19

Applications and techniques for fast machine learning in science

Allison McCarn Deiana

Nhan Tran

Joshua Agar

Michaela Blott

Giuseppe Di Guglielmo

...

2022/4/12

Physics community needs, tools, and resources for machine learning

arXiv preprint arXiv:2203.16255

Philip Harris

Erik Katsavounidis

William Patrick McCormack

Dylan Rankin

Yongbin Feng

...

2022/3/30

Interpretable geometric deep learning via learnable randomness injection

International Conference on Learning Representations

Siqi Miao

Yunan Luo

Mia Liu

Pan Li

2023

A portrait of the Higgs boson by the CMS experiment ten years after the discovery

Nature

2022/7/7

Efficient AI in particle physics and astrophysics

Frontiers in Artificial Intelligence

Javier Duarte

Mia Liu

Jennifer Ngadiuba

Elena Cuoco

Jesse Thaler

2022/9/30

Evidence for X(3872) in Pb-Pb Collisions and Studies of its Prompt Production at

Physical review letters

Albert M Sirunyan

Armen Tumasyan

Wolfgang Adam

Federico Ambrogi

Thomas Bergauer

...

2022/1/19

Interpretable and generalizable graph learning via stochastic attention mechanism

Siqi Miao

Mia Liu

Pan Li

2022/6/28

See List of Professors in Mia Liu University(Purdue University)

Mia Liu FAQs

What is Mia Liu's h-index at Purdue University?

The h-index of Mia Liu has been 148 since 2020 and 224 in total.

What are Mia Liu's top articles?

The articles with the titles of

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics

Development of CMOS Sensors for HEP with a US-based foundry

Search for doubly charged Higgs boson production in multi-lepton final states using 139 fb of proton–proton collisions at = 13 TeV with the ATLAS detector

Corrigendum: Applications and techniques for fast machine learning in science

Applications of Deep Learning to physics workflows

The US CMS HL-LHC R and D Strategic Plan

Semi-supervised graph neural networks for pileup noise removal

Studies of the muon momentum calibration and performance of the ATLAS detector with pp collisions at  TeV

...

are the top articles of Mia Liu at Purdue University.

What are Mia Liu's research interests?

The research interests of Mia Liu are: particle physics, machine learning

What is Mia Liu's total number of citations?

Mia Liu has 211,834 citations in total.

What are the co-authors of Mia Liu?

The co-authors of Mia Liu are Javier M. Duarte, Shih-Chieh Hsu, Scott Hauck, Jeffrey Krupa, Pan Li.

Co-Authors

H-index: 215
Javier M. Duarte

Javier M. Duarte

University of California, San Diego

H-index: 65
Shih-Chieh Hsu

Shih-Chieh Hsu

University of Washington

H-index: 51
Scott Hauck

Scott Hauck

University of Washington

H-index: 49
Jeffrey Krupa

Jeffrey Krupa

Massachusetts Institute of Technology

H-index: 28
Pan Li

Pan Li

Purdue University

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