An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis. - Jing Lei 002; Shi Liu; Xueyao Wang; Qibin Liu (Sensors, 2013)

Three-dimensional temperature distribution reconstruction using the extreme learning machine. - Jing Lei 002; Qibin Liu (IET Signal Process., 2017)

Data-driven reconstruction method for electrical capacitance tomography. - Jing Lei 002; Huaiping Mu; Qibin Liu; Xueyao Wang; Shi Liu (Neurocomputing, 2018)

Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (IEEE Trans. Instrum. Meas., 2018)

Prior Image Induced Regularization Method for Electrical Capacitance Tomography. - Pan Chu; Jing Lei 002; Qibin Liu (IEEE Access, 2019)

Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Neural Comput. Appl., 2019)

Reconstruction method with the learned regularizer for imaging problems in electrical capacitance tomography. - Jing Lei 002; Qibin Liu (Appl. Soft Comput., 2020)

Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Cogn. Comput., 2020)

Background image-assisted divide-and-conquer reconstruction method for ECT. - Jing Lei 002; Qibin Liu (Eng. Appl. Artif. Intell., 2020)

Distributed electrical capacitance tomography reconstruction with data and sparsity priors. - Jing Lei 002; Qibin Liu; Xueyao Wang; R. S. Yan (Signal Process., 2021)

Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Digit. Signal Process., 2022)

Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Eng. Appl. Artif. Intell., 2022)

Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography. - Jing Lei 002; Qibin Liu (Expert Syst. Appl., 2022)

Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (J. Comput. Sci., 2022)

Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography. - Jing Lei 002; Qibin Liu (IEEE Trans. Cybern., 2023)

LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing. - Xiaonan Nie; Qibin Liu; Fangcheng Fu; Shenhan Zhu; Xupeng Miao; Xiaoyang Li; Yang Zhang; Shouda Liu; Bin Cui 001 (NeurIPS, 2024)

Data and measurement mechanism integrated imaging method for electrical capacitance tomography. - Jing Lei 002; Qibin Liu (Appl. Soft Comput., 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)

Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. - Pinxue Zhao; Hailin Zhang 004; Fangcheng Fu; Xiaonan Nie; Qibin Liu; Fang Yang; Yuanbo Peng; Dian Jiao; Shuaipeng Li; Jinbao Xue; Yangyu Tao; Bin Cui 001 (CoRR, 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; et al. (CoRR, 2024)

Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Eng. Appl. Artif. Intell., 2024)

Multitasking optimization for the imaging problem in electrical capacitance tomography. - Jing Lei 002; Qibin Liu (Expert Syst. Appl., 2024)

Learnable bilevel optimization method for electrical capacitance tomography. - Jing Lei 002; Qibin Liu (Signal Process., 2024)

Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography. - Jing Lei 002; Qibin Liu (IEEE Trans. Computational Imaging, 2024)

Minimax bilevel fractional optimization for imaging in electrical capacitance tomography. - Jing Lei 002; Qibin Liu (Appl. Soft Comput., 2025)

Bilevel reinforcement learning imaging method for electrical capacitance tomography. - Jing Lei 002; Qibin Liu (Expert Syst. Appl., 2025)

MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training. - Pinxue Zhao; Hailin Zhang 004; Fangcheng Fu; Xiaonan Nie; Qibin Liu; Fang Yang; Yuanbo Peng; Dian Jiao; Shuaipeng Li; Jinbao Xue; Yangyu Tao; Bin Cui 001 (Proc. ACM Manag. Data, 2025)

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought. - Ao Liu; Botong Zhou; Can Xu; Chayse Zhou; Chenchen Zhang; Chengcheng Xu; Chenhao Wang; Decheng Wu; Dengpeng Wu; Dian Jiao; Dong Du; Dong Wang; et al. (CoRR, 2025)