Ming Hou

Fast Recursive Low-rank Tensor Learning for Regression

Brahim Chaib-draa, Ming Hou, B. Chaib-draa, 2017, IJCAI.

Tensor-based regression models and applications

M. Hou, Ming Hou, 2017 .

Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis

Qianchuan Zhao, Jianhai Zhang, Xuanyu Jin, 2023, Syst..

Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling

Jianhai Zhang, Wanzeng Kong, Qibin Zhao, 2019, NeurIPS.

MMT: Multi-way Multi-modal Transformer for Multimodal Learning

Qianchuan Zhao, Xuanyu Jin, Yu Ding, 2022, IJCAI.

Online local Gaussian process for tensor-variate regression: Application to fast reconstruction of limb movements from brain signal

Yali Wang, Brahim Chaib-draa, Ming Hou, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generative Adversarial Positive-Unlabelled Learning

Brahim Chaib-draa, Ming Hou, Qibin Zhao, 2017, IJCAI.

Hierarchical tucker tensor regression: Application to brain imaging data analysis

Brahim Chaib-draa, Ming Hou, B. Chaib-draa, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Online incremental higher-order partial least squares regression for fast reconstruction of motion trajectories from tensor streams

Brahim Chaib-draa, Ming Hou, B. Chaib-draa, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression

Brahim Chaib-draa, Andrzej Cichocki, Ming Hou, 2016, AAAI.

Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling

Chao Li, Qibin Zhao, Ming Hou, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).