On metastability in nearly-elastic systems. - Wenqing Hu (Asymptot. Anal., 2012)

Random perturbations of dynamical systems with reflecting boundary and corresponding PDE with a small parameter. - Wenqing Hu; Lucas Tcheuko (Asymptot. Anal., 2014)

Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis. - Haoyi Xiong; Yanjie Fu; Wenqing Hu; Guanling Chen; Laura E. Barnes (CoRR, 2016)

Multi-party Sparse Discriminant Learning. - Jiang Bian 003; Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Zhishan Guo; Yanjie Fu (ICDM, 2017)

AWDA: An Adaptive Wishart Discriminant Analysis. - Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Jiang Bian 003; Zhishan Guo (ICDM, 2017)

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. - Pengfei Wang 008; Yanjie Fu; Guannan Liu; Wenqing Hu; Charu C. Aggarwal (KDD, 2017)

FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification. - Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Jiang Bian 003; Zhishan Guo (CoRR, 2017)

De-biasing Covariance-Regularized Discriminant Analysis. - Haoyi Xiong; Wei Cheng 002; Yanjie Fu; Wenqing Hu; Jiang Bian 003; Zhishan Guo (IJCAI, 2018)

Dynamics of Geodesic Flows with Random Forcing on Lie Groups with Left-Invariant Metrics. - Wenqing Hu; Vladimír Sverák (J. Nonlinear Sci., 2018)

On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization. - Wenqing Hu; Chris Junchi Li; Xiang Zhou 001 (IEEE BigData, 2019)

Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent. - Huizhuo Yuan; Xiangru Lian; Chris Junchi Li; Ji Liu 002; Wenqing Hu (NeurIPS, 2019)

Real-time frequency regulation using aggregated electric vehicles in smart grid. - Md Monirul Islam; Xiao Zhong; Zeyi Sun 001; Haoyi Xiong; Wenqing Hu (Comput. Ind. Eng., 2019)

Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent. - Wenqing Hu; Zhanxing Zhu; Haoyi Xiong; Jun Huan (CoRR, 2019)

The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation. - Jingfeng Wu; Wenqing Hu; Haoyi Xiong; Jun Huan; Zhanxing Zhu (CoRR, 2019)

$ mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing. - Haoyi Xiong; Wei Cheng 002; Jiang Bian 003; Wenqing Hu; Zeyi Sun 001; Zhishan Guo (IEEE Trans. Neural Networks Learn. Syst., 2019)

On the Noisy Gradient Descent that Generalizes as SGD. - Jingfeng Wu; Wenqing Hu; Haoyi Xiong; Jun Huan; Vladimir Braverman; Zhanxing Zhu (ICML, 2020)

A Visualization Method for Mining Colocation Patterns Constrained by a Road Network. - Mengjie Zhou; Tinghua Ai; Guohua Zhou; Wenqing Hu (IEEE Access, 2020)

Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine. - Wenqing Hu; Tiefeng Jiang; Birendra Kathariya; Vikram Abrol; Jiali Zhang; Zhu Li 001 (IEEE Big Data, 2023)

B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency. - Wenjing Zhang; Wei Zhang; Wenqing Hu; Yifan Wang (ECAI, 2024)

Parallel Zero-knowledge Virtual Machine. - Wenqing Hu; Tianyi Liu; Ye Zhang; Yuncong Zhang; Zhenfei Zhang (IACR Cryptol. ePrint Arch., 2024)

Ceno: Non-uniform, Segment and Parallel Zero-Knowledge Virtual Machine. - Tianyi Liu; Zhenfei Zhang; Yuncong Zhang; Wenqing Hu; Ye Zhang (J. Cryptol., 2025)