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Qibin Liu
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2020 – today
- 2024
- [j20]Jing Lei, Qibin Liu:
Data and measurement mechanism integrated imaging method for electrical capacitance tomography. Appl. Soft Comput. 155: 111436 (2024) - [j19]Jing Lei, Qibin Liu, Xueyao Wang:
Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography. Eng. Appl. Artif. Intell. 133: 108617 (2024) - [j18]Jing Lei, Qibin Liu:
Multitasking optimization for the imaging problem in electrical capacitance tomography. Expert Syst. Appl. 257: 125105 (2024) - [j17]Jing Lei, Qibin Liu:
Learnable bilevel optimization method for electrical capacitance tomography. Signal Process. 219: 109406 (2024) - [j16]Jing Lei, Qibin Liu:
Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography. IEEE Trans. Computational Imaging 10: 304-317 (2024) - [i3]Qibin Liu, Chase Shimmin, Xiulong Liu, Eli Shlizerman, Shu Li, Shih-Chieh Hsu:
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation. CoRR abs/2405.06605 (2024) - [i2]Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui:
Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. CoRR abs/2407.12117 (2024) - [i1]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:
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. CoRR abs/2410.21611 (2024) - 2023
- [j15]Jing Lei, Qibin Liu:
Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography. IEEE Trans. Cybern. 53(12): 7535-7547 (2023) - 2022
- [j14]Jing Lei, Qibin Liu, Xueyao Wang:
Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography. Digit. Signal Process. 128: 103605 (2022) - [j13]Jing Lei, Qibin Liu, Xueyao Wang:
Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography. Eng. Appl. Artif. Intell. 116: 105467 (2022) - [j12]Jing Lei, Qibin Liu:
Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography. Expert Syst. Appl. 191: 116296 (2022) - [j11]Jing Lei, Qibin Liu, Xueyao Wang:
Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography. J. Comput. Sci. 57: 101507 (2022) - 2021
- [j10]Jing Lei, Qibin Liu, Xueyao Wang, R. S. Yan:
Distributed electrical capacitance tomography reconstruction with data and sparsity priors. Signal Process. 181: 107922 (2021) - 2020
- [j9]Jing Lei, Qibin Liu:
Reconstruction method with the learned regularizer for imaging problems in electrical capacitance tomography. Appl. Soft Comput. 89: 106126 (2020) - [j8]Jing Lei, Qibin Liu, Xueyao Wang:
Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography. Cogn. Comput. 12(1): 206-223 (2020) - [j7]Jing Lei, Qibin Liu:
Background image-assisted divide-and-conquer reconstruction method for ECT. Eng. Appl. Artif. Intell. 95: 103906 (2020)
2010 – 2019
- 2019
- [j6]Pan Chu, Jing Lei, Qibin Liu:
Prior Image Induced Regularization Method for Electrical Capacitance Tomography. IEEE Access 7: 2490-2501 (2019) - [j5]Jing Lei, Qibin Liu, Xueyao Wang:
Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography. Neural Comput. Appl. 31(9): 5079-5096 (2019) - 2018
- [j4]Jing Lei, Huaiping Mu, Qibin Liu, Xueyao Wang, Shi Liu:
Data-driven reconstruction method for electrical capacitance tomography. Neurocomputing 273: 333-345 (2018) - [j3]Jing Lei, Qibin Liu, Xueyao Wang:
Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography. IEEE Trans. Instrum. Meas. 67(9): 2107-2118 (2018) - 2017
- [j2]Jing Lei, Qibin Liu:
Three-dimensional temperature distribution reconstruction using the extreme learning machine. IET Signal Process. 11(4): 406-414 (2017) - 2013
- [j1]Jing Lei, Shi Liu, Xueyao Wang, Qibin Liu:
An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis. Sensors 13(2): 2076-2092 (2013)
Coauthor Index
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