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Ying Wai Li

Northeastern University

19H-index
130Paper Count
1.3KCitation Count
Published Papers 22
Publication Date
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Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review
errFrontiers in Neuroscience
IF3.2
err2025-08-21
err0
errOAAI
errShixiao Tan; Zhen Tang; Qiang He; Ying Li; Yuliang Cai; Jiawei Zhang; Di Fan; Zhenkai Guo
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Teacher-student training improves the accuracy and efficiency of machine learning interatomic potentials
errDigital Discovery
IF5.6
err2025-08-07
err0
errOAAI
errSakib Matin; Alice E. A. Allen; Emily Shinkle; Aleksandra Pachalieva; Galen T. Craven; Benjamin Nebgen; Justin S. Smith; Richard Messerly; Ying Wai Li; Sergei Tretiak; Kipton Barros; Nicholas Lubbers
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Best of Both Worlds: Enforcing Detailed Balance in Machine Learning Models of Transition Rates
errComputer Physics Communications
IF3.4
err2025-07-15
err0
PREAI
errAnjana Anu Talapatra; Anup Pandey; Matthew S. Wilson; Ying Wai Li; Ghanshyam Pilania; Blas Pedro Uberuaga; Danny Perez
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Metacognitions about generative AI use: psychometric and network analysis among Chinese college students
errEDUCATION AND INFORMATION TECHNOLOGIES
IF5.4
err2025-04-28
err0
PREAI
errXie, Yuntian; Li, Ying; Yu, Taowen; Liu, Yuxuan
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Challenges and opportunities for machine learning potentials in transition path sampling: alanine dipeptide and azobenzene studies
errDIGITAL DISCOVERY
IF5.6
err2025-01-01
err0
errOAAI
errFedik, Nikita; Li, Wei; Lubbers, Nicholas; Nebgen, Benjamin; Tretiak, Sergei; Li, Ying Wai
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Quantification of heterogeneity in human CD8+ T cell responses to vaccine antigens: an HLA-guided perspective
errFRONTIERS IN IMMUNOLOGY
IF5.9
err2024-11-18
err0
errOAAI
errHarris, Duane C.; Shanker, Apoorv; Montoya, Makaela M.; Llewellyn, Trent R.; Matuszak, Anna R.; Lohar, Aditi; Kubicek-Sutherland, Jessica Z.; Li, Ying Wai; Wilding, Kristen; Mcmahon, Ben; Gnanakaran, Sandrasegaram; Ribeiro, Ruy M.; Perelson, Alan S.; Molina-Paris, Carmen
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Measurement of surface rectangular defect depth based on laser-excited transmitted surface waves
errNONDESTRUCTIVE TESTING AND EVALUATION
IF4.2
err2024-10-18
err0
PREAI
errShi, Dinghui; Hu, Xiaoping; Li, Ying; Jiang, Nanchao; Ye, Hongxian
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Machine Learning Potentials with the Iterative Boltzmann Inversion: Training to Experiment
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2024-02-02
err10
errOAAI
errMatin, Sakib; Allen, Alice E. A.; Smith, Justin; Lubbers, Nicholas; Jadrich, Ryan B.; Messerly, Richard; Nebgen, Benjamin; Li, Ying Wai; Tretiak, Sergei; Barros, Kipton
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IL-YOLO: An Efficient Detection Algorithm for Insulator Defects in Complex Backgrounds of Transmission Lines
errIEEE ACCESS
IF3.6
err2024-01-01
err11
errOAAI
errZhang, Qiang; Zhang, Jianing; Li, Ying; Zhu, Changfei; Wang, Guifang
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HRD-YOLOX Based Insulator Identification and Defect Detection Method for Transmission Lines
errIEEE ACCESS
IF3.6
err2024-01-01
err3
errOAAI
errLi, Ying; Feng, Dongdong; Zhang, Qiang; Li, Shanjie
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IF-YOLO: An Efficient and Accurate Detection Algorithm for Insulator Faults in Transmission Lines
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errLi, Ying; Zhu, Changfei; Zhang, Qiang; Zhang, Jianing; Wang, Guifang
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Synergy of semiempirical models and machine learning in computational chemistry
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2023-09-15
err8
errOAAI
errFedik, Nikita; Nebgen, Benjamin; Lubbers, Nicholas; Barros, Kipton; Kulichenko, Maksim; Li, Ying Wai; Zubatyuk, Roman; Messerly, Richard; Isayev, Olexandr; Tretiak, Sergei
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Uncertainty-driven dynamics for active learning of interatomic potentials
errNATURE COMPUTATIONAL SCIENCE
IF18.3
err2023-03-06
err39
errOAAI
errKulichenko, Maksim; Barros, Kipton; Lubbers, Nicholas; Li, Ying Wai; Messerly, Richard; Tretiak, Sergei; Smith, Justin S.; Nebgen, Benjamin
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Extending machine learning beyond interatomic potentials for predicting molecular properties (vol 6, pg 653, 2022)
errNATURE REVIEWS CHEMISTRY
IF51.7
err2022-11-16
err0
errOAAI
errFedik, Nikita; Zubatyuk, Roman; Kulichenko, Maksim; Lubbers, Nicholas; Smith, Justin S.; Nebgen, Benjamin; Messerly, Richard; Li, Ying Wai; Boldyrev, Alexander I.; Barros, Kipton; Isayev, Olexandr; Tretiak, Sergei
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Extending machine learning beyond interatomic potentials for predicting molecular properties
errNATURE REVIEWS CHEMISTRY
IF51.7
err2022-08-25
err65
PREAI
errFedik, Nikita; Zubatyuk, Roman; Kulichenko, Maksim; Lubbers, Nicholas; Smith, Justin S.; Nebgen, Benjamin; Messerly, Richard; Li, Ying Wai; Boldyrev, Alexander, I; Barros, Kipton; Isayev, Olexandr; Tretiak, Sergei
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Performance Analysis of CP2K Code for Ab Initio Molecular Dynamics on CPUs and GPUs
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2022-04-22
err9
PREAI
errYokelson, Dewi; Tkachenko, Nikolay, V; Robey, Robert; Li, Ying Wai; Dub, Pavel A.
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Unintended consequence of topochemical reduction of SrFeO3 to SrFeO2: Design of infinite layered oxides
errPHYSICAL REVIEW MATERIALS
IF3.4
err2021-12-29
err5
errOAAI
errFerreira, Timothy; Acharya, Shree Ram; Li, Ying Wai; Parker, David S.; Sefat, Athena S.; Cooper, Valentino R.
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Histogram-free multicanonical Monte Carlo sampling to calculate the density of states
errCOMPUTER PHYSICS COMMUNICATIONS
IF3.4
err2019-02-01
err3
errOAAI
errFarris, Alfred C. K.; Li, Ying Wai; Eisenbach, Markus
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Delayed Slater determinant update algorithms for high efficiency quantum Monte Carlo
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2017-11-07
err11
errOAAI
errMcDaniel, T.; D'Azevedo, E. F.; Li, Y. W.; Wong, K.; Kent, P. R. C.
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Towards an accurate description of perovskite ferroelectrics: exchange and correlation effects (vol 7, 43482, 2017)
errSCIENTIFIC REPORTS
IF3.9
err2017-05-03
err0
errOAAI
errYuk, Simuck F.; Pitike, Krishna Chaitanya; Nakhmanson, Serge M.; Eisenbach, Markus; Li, Ying Wai; Cooper, Valentino R.
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Research Directions

No research directions
Co-authors
Cooperation Journals
X
Xiaoping Hu
H-index: 90 · Papers: 564
张
张强 (Qiang Zhang)
H-index: 90 · Papers: 4.9K
S
Sergei Tretiak
H-index: 88 · Papers: 737
A
Alexander I. Boldyrev
H-index: 87 · Papers: 558
D
D. P. Landau
H-index: 64 · Papers: 575
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