Qing Tao

16 papers A* 4Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Power of Decaying Steps: Enhancing Attack Stability and Transferability for Sign-based Optimizers.
CoRR
Wei Tao, Yang Dai, Jincai Huang, Qing Tao
2023 J jnl
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks.
CoRR
Wei Tao, Lei Bao, Sheng Long, Gaowei Wu, Qing Tao
2023 A* conf
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation.
AAAI
Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao
2022 J jnl
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Wei Tao, Gao-wei Wu, Qing Tao
2021 A* conf
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization.
AAAI
Wei Tao, Wei Li, Zhisong Pan, Qing Tao
2021 A* conf
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods.
ICLR
Wei Tao, Sheng Long, Gaowei Wu, Qing Tao
2021 J jnl
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods.
CoRR
Wei Tao, Sheng Long, Gaowei Wu, Qing Tao
2020 J jnl
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization.
CoRR
Wei Tao, Wei Li, Zhisong Pan, Qing Tao
2020 J jnl
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence.
IEEE Trans. Cybern.
Wei Tao, Zhisong Pan, Gaowei Wu, Qing Tao
2020 A* conf
Semismooth Newton Algorithm for Efficient Projections onto ℓ
ICML
Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao
2020 J jnl
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.
CoRR
Wei Tao, Zhisong Pan, Gaowei Wu, Qing Tao
2020 J jnl
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Wei Tao, Zhisong Pan, Gaowei Wu, Qing Tao
2018 J jnl
Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems.
IEEE Trans. Neural Networks Learn. Syst.
Qing Tao, Gao-wei Wu, Dejun Chu
2018 J jnl
Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Dejun Chu, Rui Lu, Jin Li, Xintong Yu, Changshui Zhang, Qing Tao
2017 J jnl
A faster cutting plane algorithm with accelerated line search for linear SVM.
Pattern Recognit.
Dejun Chu, Changshui Zhang, Qing Tao
2017 J jnl
Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory.
Comput. Intell. Neurosci.
Haimin Yang, Zhisong Pan, Qing Tao