Qianqian Tong

Qianqian Tong

Publications

Selected Publications:

  • Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi, Stochastic privacy-preserving methods for nonconvex sparse learning, Information Science (2023).

  • Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi, Federated Optimization of ℓ0-norm Regularized Sparse Learning, Algorithms (2022).

  • Qianqian Tong, Guannan Liang, Jinbo Bi, Calibrating the adaptive learning rate to improve convergence of ADAM, Neurocomputing (2022).

  • Ko-shin Chen, Tingyang Xu, Guannan Liang, Qianqian Tong, Minghu Song, Jinbo Bi, An Effective Tensor Regression with Latent Sparse Regularization, Journal of Data Science (2022).

  • Chao Shang, Qinqing Liu, Qianqian Tong, Jiangwen Sun, Minghu Song, Jinbo Bi, Multi-view spectral graph convolution with consistent edge attention for molecular modeling, Neurocomputing (2021).

  • Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi, Asynchronous Parallel Stochastic Quasi-Newton Methods, Parallel Computing Journal (2021)

  • Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi, Escaping saddle points with stochastically controlled stochastic gradient methods, arXiv (2021).

  • Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan and Jinbo Bi, Effective Proximal Methods for Non-convex Non-smooth Regularized Learning, International Conference on Data Mining (ICDM 2020).

  • Qianqian Tong, Guannan Liang and Jinbo Bi, Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data, arXiv (2020).

  • Guannan Liang, Qianqian Tong, Chunjiang Zhu and Jinbo Bi, An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning, AAAI Conference on Artificial Intelligence (AAAI 2020).