Wei Tao - RankMe

22 papers A* 4Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing traffic flow prediction through multi-view attention mechanism and dilated convolutional networks. Complex Intell. Syst. Wei Li, Hao Wei, Xin Liu, Jialin Liu, Dazhi Zhan, Xiao Han, Wei Tao
2026	J	`jnl`	Incorporating prior knowledge into style embedding for unsupervised text style transfer. Comput. Speech Lang. Yahao Hu, Wei Tao, Yifei Xie, Tianfeng Wang, Zhisong Pan
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
2024	J	`jnl`	Location and time embedded feature representation for spatiotemporal traffic prediction. Expert Syst. Appl. Wei Li, Xin Liu, Wei Tao, Lei Zhang, Junhua Zou, Yu Pan, Zhisong Pan
2024	A*	`conf`	On the Convergence of an Adaptive Momentum Method for Adversarial Attacks. AAAI Sheng Long, Wei Tao, Shuohao Li, Jun Lei, Jun Zhang
2024	A*	`conf`	Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks. IJCAI Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan
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	J	`jnl`	Token-level disentanglement for unsupervised text style transfer. Neurocomputing Yahao Hu, Wei Tao, Yifei Xie, Yi Sun, Zhisong Pan
2022	J	`jnl`	A Convergence Analysis of Nesterov's Accelerated Gradient Method in Training Deep Linear Neural Networks. CoRR Xin Liu, Wei Tao, Zhisong Pan
2022	J	`jnl`	A convergence analysis of Nesterov's accelerated gradient method in training deep linear neural networks. Inf. Sci. Xin Liu, Wei Tao, Zhisong Pan
2022	J	`jnl`	A high-resolution dynamical view on momentum methods for over-parameterized neural networks. CoRR Xin Liu, Wei Tao, Jun Wang, Zhisong Pan
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
2022	J	`jnl`	Provable convergence of Nesterov's accelerated gradient method for over-parameterized neural networks. Knowl. Based Syst. Xin Liu, Zhisong Pan, Wei 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	J	`jnl`	Regularized shapelet learning for scalable time series classification. Comput. Networks Huiyun Zhao, Zhisong Pan, Wei 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
2019	J	`jnl`	Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction. IEEE Access Wei Li, Wei Tao, Junyang Qiu, Xin Liu, Xingyu Zhou, Zhisong Pan