| 2023 | AAAI | Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. | Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao |
| 2021 | AAAI | Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. | Wei Tao, Wei Li, Zhisong Pan, Qing Tao |
| 2021 | ICLR | The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. | Wei Tao, Sheng Long, Gaowei Wu, Qing Tao |
| 2020 | ICML | Semismooth Newton Algorithm for Efficient Projections onto ℓ | Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao |
| 2010 | ICPR | Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features. | Kuijun Ma, Qing Tao, Jue Wang |
| 2009 | SIGIR | Robust sparse rank learning for non-smooth ranking measures. | Zhengya Sun, Tao Qin, Qing Tao, Jue Wang |
| 2007 | IJCNN | Recursive Feature Extraction for Ordinal Regression. | Fen Xia, Qing Tao, Jue Wang, Wensheng Zhang |
| 2005 | ISI | Some Marginal Learning Algorithms for Unsupervised Problems. | Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang |
| 2005 | ISPA | Probabilistic Behavior of Sensor Network Localization. | Xunxue Cui, Zhan Zhao, Qing Tao |