Tao Li

According to our database, Tao Li authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A variational hardcut EM algorithm for the mixtures of Gaussian processes.

Tao Li, Jinwen Ma

Sci. China Inf. Sci., March, 2023

Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm.

Tao Li, Jinwen Ma

Pattern Recognit., 2023

Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond.

Jie An, Tao Li, Hao-Zhi Huang, Jinwen Ma, Jiebo Luo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Attention Mechanism Based Mixture of Gaussian Processes.

Tao Li, Jinwen Ma

Pattern Recognit. Lett., 2022

On theoretical justification of the forward-backward algorithm for the variational learning of Bayesian hidden Markov models.

Tao Li, Jinwen Ma

IET Signal Process., 2022

2021

Mixture of robust Gaussian processes and its hard-cut EM algorithm with variational bounding approximation.

Tao Li, Di Wu, Jinwen Ma

Neurocomputing, 2021

Learning Causal Semantic Representation for Out-of-Distribution Prediction.

Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning Causal Semantic Representation for Out-of-Distribution Prediction.

Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu

CoRR, 2020

Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning.

Jie An, Tao Li, Haozhi Huang, Li Shen, Xuan Wang, Yongyi Tang, Jinwen Ma, Wei Liu, Jiebo Luo

CoRR, 2020

T-SVD Based Non-convex Tensor Completion and Robust Principal Component Analysis.

Tao Li, Jinwen Ma

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Functional Data Clustering Analysis via the Learning of Gaussian Processes with Wasserstein Distance.

Tao Li, Jinwen Ma

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Simultaneous Inpainting and Colorization via Tensor Completion.

Tao Li, Jinwen Ma

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Non-convex Penalty for Tensor Completion and Robust PCA.

Tao Li, Jinwen Ma

CoRR, 2019

Swarm Intelligence Based Ensemble Learning of Deep Neural Networks.

Tao Li, Jinwen Ma

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Exploiting Cluster Structure in Probabilistic Matrix Factorization.

Tao Li, Jinwen Ma

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Bayesian Probit Model with L^α and Elastic Net Regularization.

Tao Li, Jinwen Ma

Proceedings of the Intelligent Computing Theories and Application, 2018