Bayesian Probit Model with Lα and Elastic Net Regularization. - Tao Li 040; Jinwen Ma (ICIC (1), 2018)

Exploiting Cluster Structure in Probabilistic Matrix Factorization. - Tao Li 040; Jinwen Ma (ICONIP (5), 2019)

Swarm Intelligence Based Ensemble Learning of Deep Neural Networks. - Tao Li 040; Jinwen Ma (ICONIP (4), 2019)

Non-convex Penalty for Tensor Completion and Robust PCA. - Tao Li 040; Jinwen Ma (CoRR, 2019)

Simultaneous Inpainting and Colorization via Tensor Completion. - Tao Li 040; Jinwen Ma (ICONIP (1), 2020)

Functional Data Clustering Analysis via the Learning of Gaussian Processes with Wasserstein Distance. - Tao Li 040; Jinwen Ma (ICONIP (2), 2020)

T-SVD Based Non-convex Tensor Completion and Robust Principal Component Analysis. - Tao Li 040; Jinwen Ma (ICPR, 2020)

Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning. - Jie An 002; Tao Li 040; Haozhi Huang 001; Li Shen 005; Xuan Wang 009; Yongyi Tang; Jinwen Ma; Wei Liu 005; Jiebo Luo 001 (CoRR, 2020)

Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Chang Liu 030; Xinwei Sun 001; Jindong Wang 001; Tao Li 040; Tao Qin 001; Wei Chen 034; Tie-Yan Liu (CoRR, 2020)

Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes. - Tao Li 040; Xiao Luo 001; Jinwen Ma (ICONIP (5), 2021)

Deep Supervised Hashing by Classification for Image Retrieval. - Xiao Luo 001; Yuhang Guo 002; Zeyu Ma 001; Huasong Zhong; Tao Li 040; Wei Ju 001; Chong Chen 002; Minghua Deng (ICONIP (4), 2021)

Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Chang Liu 030; Xinwei Sun 001; Jindong Wang 001; Haoyue Tang; Tao Li 040; Tao Qin 001; Wei Chen 034; Tie-Yan Liu (NeurIPS, 2021)

Mixture of robust Gaussian processes and its hard-cut EM algorithm with variational bounding approximation. - Tao Li 040; Di Wu 027; Jinwen Ma (Neurocomputing, 2021)

On theoretical justification of the forward-backward algorithm for the variational learning of Bayesian hidden Markov models. - Tao Li 040; Jinwen Ma (IET Signal Process., 2022)

Attention Mechanism Based Mixture of Gaussian Processes. - Tao Li 040; Jinwen Ma (Pattern Recognit. Lett., 2022)

Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond. - Jie An 002; Tao Li 040; Hao-Zhi Huang 001; Jinwen Ma; Jiebo Luo 001 (WACV, 2023)

Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm. - Tao Li 040; Jinwen Ma (Pattern Recognit., 2023)

A variational hardcut EM algorithm for the mixtures of Gaussian processes. - Tao Li 040; Jinwen Ma (Sci. China Inf. Sci., 2023)