Analytical and numerical study of coupled atomistic-continuum methods for fluids. - Weiqing Ren (J. Comput. Phys., 2007)

A general strategy for designing seamless multiscale methods. - Weinan E; Weiqing Ren; Eric Vanden-Eijnden (J. Comput. Phys., 2009)

A level-set method for two-phase flows with moving contact line and insoluble surfactant. - Jian-Jun Xu; Weiqing Ren (J. Comput. Phys., 2014)

Noise-induced transition in barotropic flow over topography and application to Kuroshio. - Wenqi Yao; Weiqing Ren (J. Comput. Phys., 2015)

Simulation of moving contact lines in two-phase polymeric fluids. - Zhen Zhang 018; Weiqing Ren (Comput. Math. Appl., 2016)

Computing Committor Functions for the Study of Rare Events Using Deep Learning. - Qianxiao Li; Bo Lin; Weiqing Ren (CoRR, 2019)

Distinguished Limits of the Navier Slip Model for Moving Contact Lines in Stokes Flow. - Zhen Zhang 018; Weiqing Ren (SIAM J. Appl. Math., 2019)

The Graph Limit of The Minimizer of The Onsager-Machlup Functional and Its Computation. - Qiang Du; Tiejun Li; Xiaoguang Li; Weiqing Ren (CoRR, 2020)

An energy-stable finite element method for the simulation of moving contact lines in two-phase flows. - Quan Zhao; Weiqing Ren (J. Comput. Phys., 2020)

Interface Profile Near the Contact Line in Electro-Wetting on Dielectric. - Hanwen Cui; Weiqing Ren (SIAM J. Appl. Math., 2020)

A Data Driven Method for Computing Quasipotentials. - Bo Lin; Qianxiao Li; Weiqing Ren (MSML, 2021)

A Thermodynamically Consistent Model and Its Conservative Numerical Approximation for Moving Contact Lines with Soluble Surfactants. - Quan Zhao; Weiqing Ren; Zhen Zhang 018 (CoRR, 2021)

A finite element method for electrowetting on dielectric. - Quan Zhao; Weiqing Ren (J. Comput. Phys., 2021)

Vapor-liquid phase transition in fluctuating hydrodynamics: The most probable transition path and its computation. - Wenqi Yao; Weiqing Ren (J. Comput. Phys., 2022)

Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning. - Bo Lin; Qianxiao Li; Weiqing Ren (J. Sci. Comput., 2022)

Energy-Efficient Collaborative DNN Inference in UAV Swarm. - Weiqing Ren; Yuben Qu; Zhen Qin; Chao Dong 001; Hao Sun; Lei Zhang 038; Qihui Wu 001 (BIGCOM, 2023)

A Survey on Collaborative DNN Inference for Edge Intelligence. - Weiqing Ren; Yuben Qu; Chao Dong 001; Yuqian Jing; Hao Sun; Qihui Wu 001; Song Guo 001 (Int. J. Autom. Comput., 2023)

Computing high-dimensional invariant distributions from noisy data. - Bo Lin; Qianxiao Li; Weiqing Ren (J. Comput. Phys., 2023)

Exploiting UAV for Air-Ground Integrated Federated Learning: A Joint UAV Location and Resource Optimization Approach. - Yuqian Jing; Yuben Qu; Chao Dong 001; Weiqing Ren; Yun Shen; Qihui Wu 001; Song Guo 001 (IEEE Trans. Green Commun. Netw., 2023)

Micromagnetics simulations and phase transitions of ferromagnetics with Dzyaloshinskii-Moriya interaction. - Panchi Li; Shuting Gu; Jin Lan; Jingrun Chen; Weiqing Ren; Rui Du (Commun. Nonlinear Sci. Numer. Simul., 2023)

Efficient Pipeline Collaborative DNN Inference in Resource-Constrained UAV Swarm. - Weiqing Ren; Yuben Qu; Zhen Qin; Chao Dong 001; Fuhui Zhou; Lei Zhang 038; Qihui Wu 001 (WCNC, 2024)

A deep learning approach for solving the stationary compositional two-phase equilibrium problems. - Duc Thach Son Vu; Weiqing Ren (Commun. Nonlinear Sci. Numer. Simul., 2024)

Deep Learning Method for Computing Committor Functions with Adaptive Sampling. - Bo Lin; Weiqing Ren (CoRR, 2024)

Simulating capillary folding of thin elastic sheets with pinned contact lines. - Zhixuan Li; Weiqing Ren (J. Comput. Phys., 2024)

Computing transition pathways for the study of rare events using deep reinforcement learning. - Bo Lin; Yangzheng Zhong; Weiqing Ren (J. Comput. Phys., 2025)

Learning and predicting dynamics of compositional multiphase mixtures using Graph Neural Networks. - Duc Thach Son Vu; Tan M. Nguyen; Weiqing Ren (J. Comput. Phys., 2025)

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths. - Yueyang Wang; Kejun Tang; Xili Wang; Xiaoliang Wan; Weiqing Ren; Chao Yang (CoRR, 2025)