The chromaticity of s-bridge graphs and related graphs. - Shaoji Xu; Jinjie Liu; Yee-Hock Peng (Discret. Math., 1994)

A Conservative Front Tracking Method in N -Dimensions. - Jinjie Liu; Hyun-Kyung Lim; James Glimm; Xiaolin Li 002 (J. Sci. Comput., 2007)

Overlapping Yee FDTD Method on Nonorthogonal Grids. - Jinjie Liu; Moysey Brio; Jerome V. Moloney (J. Sci. Comput., 2009)

Generalization of the FDTD algorithm for simulations of hydrodynamic nonlinear Drude model. - Jinjie Liu; Moysey Brio; Yong Zeng; Aramis R. Zakharian; Walter Hoyer; Stephan W. Koch; Jerome V. Moloney (J. Comput. Phys., 2010)

A Compressed Sensing reconstruct algorithm based on trust region method of nonsmooth optimization. - Enming Dong; Jianping Li; Jinjie Liu (FSKD, 2012)

Seismic reflectivity inversion by a sparsity and lateral continuity constrained gradient descent method. - Jinjie Liu; Hongxia Wang; Dongyun Yi; Lei Sun (SOLI, 2012)

Trajectory Tracking Based On Iterated Unscented Kalman Filter Of Boost Phase. - Lei Sun; Dong Li; Dongyun Yi; Jinjie Liu (SOLI, 2012)

Long-Distance Travel Behaviours Accelerate and Aggravate the Large-Scale Spatial Spreading of Infectious Diseases. - Zhijing Xu; Zhenghu Zu; Tao Zheng; Wendou Zhang; Qing Xu; Jinjie Liu (Comput. Math. Methods Medicine, 2014)

Transformation optics based local mesh refinement for solving Maxwell's equations. - Jinjie Liu; Moysey Brio; Jerome V. Moloney (J. Comput. Phys., 2014)

Automatic Feature Extraction and Selection For Machine Learning Based Intrusion Detection. - Jinjie Liu; Sun Sunnie Chung (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Modeling of laser-induced breakdown spectroscopic data analysis by an automatic classifier. - David D. Pokrajac; Poopalasingam Sivakumar; Yuriy Markushin; Daniela M. Milovic; Gary Holness; Jinjie Liu; Noureddine Melikechi; Mukti Rana (Int. J. Data Sci. Anal., 2019)

Optimization of Stochastic Computing Based Deep Learning Systems with Parallel Finite State Machine Implementation. - Jinjie Liu (ICACS, 2020)

Elasticity M-tensors and the strong ellipticity condition. - Weiyang Ding; Jinjie Liu; Liqun Qi 001; Hong Yan 001 (Appl. Math. Comput., 2020)

Optimal control and approximation for elliptic bilateral obstacle problems. - Jinjie Liu; Xinmin Yang; Shengda Zeng (Commun. Nonlinear Sci. Numer. Simul., 2021)

ST-SVD Factorization and s-Diagonal Tensors. - Chen Ling 001; Jinjie Liu; Chen Ouyang; Liqun Qi 001 (CoRR, 2021)

Coupled Variational Inequalities: Existence, Stability and Optimal Control. - Jinjie Liu; Xinmin Yang; Shengda Zeng; Yong Zhao (J. Optim. Theory Appl., 2022)

Analysis of University Teachers' Internet Discourse Ability in the Post-COVID-19 Era. - Jinjie Liu; Huaiyin Wang (ICDTE, 2023)

AutoPCF: Efficient Product Carbon Footprint Accounting with Large Language Models. - Zhu Deng; Jinjie Liu; Biao Luo; Can Yuan; Qingrun Yang; Lei Xiao; Wenwen Zhou; Zhu Liu (CoRR, 2023)

Real-Time Corporate Carbon Footprint Estimation Methodology Based on Appliance Identification. - Guolong Liu; Jinjie Liu; Junhua Zhao 001; Jing Qiu 001; Yiru Mao; Zhanxin Wu; Fushuan Wen (IEEE Trans. Ind. Informatics, 2023)

An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning. - Jinjie Liu; Behzad Kazemtabrizi; Hailiang Du; Peter C. Matthews; Hongjian Sun (IECON, 2024)

Energy-superconvergent Runge-Kutta Time Discretizations. - Jinjie Liu; Moysey Brio (CoRR, 2024)

FluidML: Fast and Memory Efficient Inference Optimization. - Jinjie Liu; Hang Qiu 001 (CoRR, 2024)

Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data. - Jinjie Liu; Guolong Liu; Huan Zhao 004; Junhua Zhao 001; Jing Qiu 001; Zhao Yang Dong (Eng. Appl. Artif. Intell., 2024)

Modified iterated Crank-Nicolson method with improved accuracy for advection equations. - Qiqi Tran; Jinjie Liu (Numer. Algorithms, 2024)

Improved Coordinate Registration for Over-the-Horizon Radar: Sampling-Based Approaches. - Zengfu Wang; Jinjie Liu; Hua Lan; Kun Lu (IEEE Trans. Aerosp. Electron. Syst., 2025)

BugScope: Learn to Find Bugs Like Human. - Jinyao Guo; Chengpeng Wang; Dominic Deluca; Jinjie Liu; Zhuo Zhang; Xiangyu Zhang (CoRR, 2025)

A novel tensor decomposition-based approach for internet traffic data recovery and forecast. - Chen Ling; Jinjie Liu; Wenhui Xie; Yuxuan Duan (J. Comput. Appl. Math., 2026)