Qibin Liu

According to our database, Qibin Liu authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography.

Jing Lei, Qibin Liu

IEEE Trans. Computational Imaging, 2024

Learnable bilevel optimization method for electrical capacitance tomography.

Jing Lei, Qibin Liu

Signal Process., 2024

Multitasking optimization for the imaging problem in electrical capacitance tomography.

Jing Lei, Qibin Liu

Expert Syst. Appl., 2024

Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography.

Jing Lei, Qibin Liu, Xueyao Wang

Eng. Appl. Artif. Intell., 2024

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.

Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang

CoRR, 2024

Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs.

Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui

CoRR, 2024

Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation.

Qibin Liu, Chase Shimmin, Xiulong Liu, Eli Shlizerman, Shu Li, Shih-Chieh Hsu

CoRR, 2024

Data and measurement mechanism integrated imaging method for electrical capacitance tomography.

Jing Lei, Qibin Liu

Appl. Soft Comput., 2024

2023

Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography.

Jing Lei, Qibin Liu

IEEE Trans. Cybern., December, 2023

2022

Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography.

Jing Lei, Qibin Liu, Xueyao Wang

J. Comput. Sci., 2022

Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography.

Jing Lei, Qibin Liu

Expert Syst. Appl., 2022

Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography.

Jing Lei, Qibin Liu, Xueyao Wang

Eng. Appl. Artif. Intell., 2022

Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography.

Jing Lei, Qibin Liu, Xueyao Wang

Digit. Signal Process., 2022

2021

Distributed electrical capacitance tomography reconstruction with data and sparsity priors.

Jing Lei, Qibin Liu, Xueyao Wang, R. S. Yan

Signal Process., 2021

2020

Background image-assisted divide-and-conquer reconstruction method for ECT.

Jing Lei, Qibin Liu

Eng. Appl. Artif. Intell., 2020

Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography.

Jing Lei, Qibin Liu, Xueyao Wang

Cogn. Comput., 2020

Reconstruction method with the learned regularizer for imaging problems in electrical capacitance tomography.

Jing Lei, Qibin Liu

Appl. Soft Comput., 2020

2019

Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography.

Jing Lei, Qibin Liu, Xueyao Wang

Neural Comput. Appl., 2019

Prior Image Induced Regularization Method for Electrical Capacitance Tomography.

Pan Chu, Jing Lei, Qibin Liu

IEEE Access, 2019

2018

Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography.

Jing Lei, Qibin Liu, Xueyao Wang

IEEE Trans. Instrum. Meas., 2018

Data-driven reconstruction method for electrical capacitance tomography.

Jing Lei, Huaiping Mu, Qibin Liu, Xueyao Wang, Shi Liu

Neurocomputing, 2018

2017

Three-dimensional temperature distribution reconstruction using the extreme learning machine.

Jing Lei, Qibin Liu

IET Signal Process., 2017

2013

An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis.

Jing Lei, Shi Liu, Xueyao Wang, Qibin Liu

Sensors, 2013