Word Segmentation Method using Inductive Learning for Chinese Text. - Zhongjian Wang; Kenji Araki; Koji Tochinai (Artificial Intelligence and Soft Computing, 2000)

A Word Segmentation Method with Dynamic Adapting to Text Using Inductive Learning. - Zhongjian Wang; Kenji Araki; Koji Tochinai (SIGHAN@COLING, 2002)

A novel partial-SOI LDMOSFET (>800 V) with n-type floating buried layer in substrate. - Chao Xia; Xinhong Cheng; Zhongjian Wang; Duo Cao; Tingting Jia; Li Zheng; Yuehui Yu; Dashen Shen (Microelectron. Reliab., 2014)

Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM J. Numer. Anal., 2018)

Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2019)

Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method. - Sijing Li; Zhongjian Wang; Stephen S.-T. Yau; Zhiwen Zhang 001 (CoRR, 2019)

A class of robust numerical methods for solving dynamical systems with multiple time scales. - Thomas Y. Hou 001; Zhongjian Wang; Zhiwen Zhang 001 (CoRR, 2019)

Feature Extraction for Hyperspectral Images Using Local Contain Profile. - Wei Li 032; Zhongjian Wang; Lu Li 005; Qian Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A mesh-free method for interface problems using the deep learning approach. - Zhongjian Wang; Zhiwen Zhang 001 (J. Comput. Phys., 2020)

Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM J. Numer. Anal., 2020)

Proper Orthogonal Decomposition Method to Nonlinear Filtering Problems in Medium-High Dimension. - Zhongjian Wang; Xue Luo; Stephen S.-T. Yau; Zhiwen Zhang 001 (IEEE Trans. Autom. Control., 2020)

Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2021)

Regularization of Planar Piecewise Smooth Systems with a Heteroclinic Loop. - Zhongjian Wang; Dingheng Pi (Int. J. Bifurc. Chaos, 2021)

Sharp Error Estimates on a Stochastic Structure-Preserving Scheme in Computing Effective Diffusivity of 3D Chaotic Flows. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (Multiscale Model. Simul., 2021)

Validation of a system for automatic quantitative analysis of laboratory mice behavior based on locomotor pose. - Chunhai Hu; Zhongjian Wang; Bin Liu; Hong Huang; Ning Zhang; Yanguang Xu (Comput. Biol. Medicine, 2022)

A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2022)

A variational neural network approach for glacier modelling with nonlinear rheology. - Tiangang Cui; Zhongjian Wang; Zhiwen Zhang 001 (CoRR, 2022)

DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (J. Comput. Phys., 2022)

A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM J. Numer. Anal., 2022)

One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field. - Weichuang Li; Longhao Zhang; Dong Wang 028; Bin Zhao 001; Zhigang Wang 002; Mulin Chen; Bang Zhang; Zhongjian Wang; Liefeng Bo; Xuelong Li 001 (CVPR, 2023)

Understanding the diffusion models by conditional expectations. - Yubin Lu; Zhongjian Wang; Guillaume Bal (CoRR, 2023)

Stochastic convergence of regularized solutions for backward heat conduction problems. - Zhongjian Wang; Wenlong Zhang; Zhiwen Zhang 001 (CoRR, 2023)

Asymmetric transport computations in Dirac models of topological insulators. - Guillaume Bal; Jeremy G. Hoskins; Zhongjian Wang (J. Comput. Phys., 2023)

A data-driven model reduction method for parabolic inverse source problems and its convergence analysis. - Zhongjian Wang; Wenlong Zhang; Zhiwen Zhang 001 (J. Comput. Phys., 2023)

Solving Nonlinear Filtering Problems Using a Tensor Train Decomposition Method. - Sijing Li; Zhongjian Wang; Stephen S.-T. Yau; Zhiwen Zhang 001 (IEEE Trans. Autom. Control., 2023)

A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows. - Tan Zhang; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2024)

A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion. - Boyi Hu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2024)

Wasserstein Bounds for generative diffusion models with Gaussian tail targets. - Xixian Wang; Zhongjian Wang (CoRR, 2024)

Randomized Methods for Computing Optimal Transport Without Regularization and Their Convergence Analysis. - Yue Xie; Zhongjian Wang; Zhiwen Zhang 001 (J. Sci. Comput., 2024)

Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates. - Connor Mooney; Zhongjian Wang; Jack Xin; Yifeng Yu (ICLR, 2025)

A Convergent Interacting Particle Method for Computing KPP Front Speeds in Random Flows. - Tan Zhang; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM/ASA J. Uncertain. Quantification, 2025)

A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (J. Sci. Comput., 2025)

OmniTalker: Real-Time Text-Driven Talking Head Generation with In-Context Audio-Visual Style Replication. - Zhongjian Wang; Peng Zhang 080; Jinwei Qi; Guangyuan Wang Sheng Xu; Bang Zhang; Liefeng Bo (CoRR, 2025)

Convergence Analysis of a Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Systems. - Boyi Hu; Zhongjian Wang; Jack Xin; Zhiwen Zhang (CoRR, 2025)

PODNO: Proper Orthogonal Decomposition Neural Operators. - Zilan Cheng; Zhongjian Wang; Li-Lian Wang; Mejdi Azaïez (CoRR, 2025)

DPOT: A DeepParticle method for Computation of Optimal Transport with convergence guarantee. - Yingyuan Li; Aokun Wang; Zhongjian Wang (CoRR, 2025)