Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory. - Haimin Yang; Zhisong Pan 003; Qing Tao 001 (Comput. Intell. Neurosci., 2017)

A faster cutting plane algorithm with accelerated line search for linear SVM. - Dejun Chu; Changshui Zhang; Qing Tao 001 (Pattern Recognit., 2017)

Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm. - Dejun Chu; Rui Lu 003; Jin Li 020; Xintong Yu 002; Changshui Zhang; Qing Tao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems. - Qing Tao 001; Gao-wei Wu; Dejun Chu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball. - Dejun Chu; Changshui Zhang; Shiliang Sun; Qing Tao 001 (ICML, 2020)

Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence. - Wei Tao 002; Zhisong Pan 003; Gaowei Wu; Qing Tao 001 (IEEE Trans. Cybern., 2020)

The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization. - Wei Tao 002; Zhisong Pan 003; Gaowei Wu; Qing Tao 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. - Wei Tao 002; Wei Li 116; Zhisong Pan 003; Qing Tao 001 (AAAI, 2021)

The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. - Wei Tao 002; Sheng Long; Gaowei Wu; Qing Tao 001 (ICLR, 2021)

Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints. - Wei Tao 002; Gao-wei Wu; Qing Tao 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. - Dejun Chu; Changshui Zhang; Shiliang Sun; Qing Tao 001 (AAAI, 2023)

Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks. - Wei Tao 002; Lei Bao; Sheng Long; Gaowei Wu; Qing Tao 001 (CoRR, 2023)

Optimizing the Adversarial Perturbation With a Momentum-Based Adaptive Matrix. - Wei Tao 002; Sheng Long; Xin Liu 042; Wei Li 116; Qing Tao 001 (IEEE Trans. Dependable Secur. Comput., 2026)

The Power of Decaying Steps: Enhancing Attack Stability and Transferability for Sign-based Optimizers. - Wei Tao 002; Yang Dai; Jincai Huang 001; Qing Tao 001 (CoRR, 2026)