Qibin Liu

31 papers A* 1Journal 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
EveNet: A Foundation Model for Particle Collision Data Analysis.
CoRR
Ting-Hsiang Hsu, Bai-Hong Zhou, Qibin Liu, Yue Xu, Shu Li, George Wei-Shu Hou, Benjamin Nachman, Shih-Chieh Hsu, Vinicius Mikuni, Yuan-Tang Chou, Yulei Zhang
2026 J jnl
JetFormer: A Scalable and Efficient Transformer for Jet Tagging from Offline Analysis to FPGA Triggers.
CoRR
Ruoqing Zheng, Chang Sun, Qibin Liu, Lauri Laatu, Arianna Cox, Benedikt Maier, Alexander D. Tapper, José Gabriel F. Coutinho, Wayne Luk, Zhiqiang Que
2025 J jnl
Bilevel reinforcement learning imaging method for electrical capacitance tomography.
Expert Syst. Appl.
Jing Lei, Qibin Liu
2025 J jnl
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training.
Proc. ACM Manag. Data
Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui
2025 J jnl
Minimax bilevel fractional optimization for imaging in electrical capacitance tomography.
Appl. Soft Comput.
Jing Lei, Qibin Liu
2025 J jnl
Reinforcement Learning on Pre-Training Data.
CoRR
Siheng Li, Kejiao Li, Zenan Xu, Guanhua Huang, Evander Yang, Kun Li, Haoyuan Wu, Jiajia Wu, Zihao Zheng, Chenchen Zhang, Kun Shi, Kyrierl Deng, Qi Yi, Ruibin Xiong, Tingqiang Xu, Yuhao Jiang, Jianfeng Yan, Yuyuan Zeng, Guanghui Xu, Jinbao Xue, Zhijiang Xu, Zheng Fang, Shuai Li, Qibin Liu, Xiaoxue Li, Zhuoyu Li, Yangyu Tao, Fei Gao, Cheng Jiang, Bo Chao Wang, Kai Liu, Jianchen Zhu, Wai Lam, Wayyt Wang, Bo Zhou, Di Wang
2024 J jnl
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation.
CoRR
Qibin Liu, Chase Shimmin, Xiulong Liu, Eli Shlizerman, Shu Li, Shih-Chieh Hsu
2024 J jnl
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.
CoRR
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
2024 J jnl
Data and measurement mechanism integrated imaging method for electrical capacitance tomography.
Appl. Soft Comput.
Jing Lei, Qibin Liu
2024 J jnl
Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography.
Eng. Appl. Artif. Intell.
Jing Lei, Qibin Liu, Xueyao Wang
2024 J jnl
Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs.
CoRR
Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui
2024 J jnl
Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography.
IEEE Trans. Computational Imaging
Jing Lei, Qibin Liu
2024 A* conf
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing.
NeurIPS
Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui
2024 J jnl
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing.
CoRR
Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui
2024 J jnl
Learnable bilevel optimization method for electrical capacitance tomography.
Signal Process.
Jing Lei, Qibin Liu
2024 J jnl
Multitasking optimization for the imaging problem in electrical capacitance tomography.
Expert Syst. Appl.
Jing Lei, Qibin Liu
2023 J jnl
Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography.
IEEE Trans. Cybern.
Jing Lei, Qibin Liu
2022 J jnl
Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography.
J. Comput. Sci.
Jing Lei, Qibin Liu, Xueyao Wang
2022 J jnl
Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography.
Digit. Signal Process.
Jing Lei, Qibin Liu, Xueyao Wang
2022 J jnl
Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography.
Eng. Appl. Artif. Intell.
Jing Lei, Qibin Liu, Xueyao Wang
2022 J jnl
Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography.
Expert Syst. Appl.
Jing Lei, Qibin Liu
2021 J jnl
Distributed electrical capacitance tomography reconstruction with data and sparsity priors.
Signal Process.
Jing Lei, Qibin Liu, Xueyao Wang, R. S. Yan
2020 J jnl
Background image-assisted divide-and-conquer reconstruction method for ECT.
Eng. Appl. Artif. Intell.
Jing Lei, Qibin Liu
2020 J jnl
Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography.
Cogn. Comput.
Jing Lei, Qibin Liu, Xueyao Wang
2020 J jnl
Reconstruction method with the learned regularizer for imaging problems in electrical capacitance tomography.
Appl. Soft Comput.
Jing Lei, Qibin Liu
2019 J jnl
Prior Image Induced Regularization Method for Electrical Capacitance Tomography.
IEEE Access
Pan Chu, Jing Lei, Qibin Liu
2019 J jnl
Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography.
Neural Comput. Appl.
Jing Lei, Qibin Liu, Xueyao Wang
2018 J jnl
Data-driven reconstruction method for electrical capacitance tomography.
Neurocomputing
Jing Lei, Huaiping Mu, Qibin Liu, Xueyao Wang, Shi Liu
2018 J jnl
Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography.
IEEE Trans. Instrum. Meas.
Jing Lei, Qibin Liu, Xueyao Wang
2017 J jnl
Three-dimensional temperature distribution reconstruction using the extreme learning machine.
IET Signal Process.
Jing Lei, Qibin Liu
2013 J jnl
An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis.
Sensors
Jing Lei, Shi Liu, Xueyao Wang, Qibin Liu