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Binghua Li

3 accepted papers

2026

MTNL: A Unified Modeling Perspective for Enhancing Tensor Network Learning

ICML 2026poster

Over the years, the unsupervised and supervised learning research directions of tensor networks (TNs) have mainly developed in parallel. In this paper, we provide a view for their cooperative advancement through a novel mixed tensor network learning (MTNL) framework that unifies the two fields. Spec…

Cited by 0SourceScholar
2020

Classification of Epileptic IEEG Signals by CNN and Data Augmentation

ICASSP 2020accepted

Epileptic focus localization in patients with epileptic seizures is essential when surgery is needed. Recent studies show that this can be done automatically using machine learning approaches. However, well-designed feature extraction methods are often computationally demanding, requiring a large am…

Cited by 0SourceScholar
2020

TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data

ECCV 2020poster

Multimodal sentiment analysis (MSA) has been widely investigated in both computer vision and natural language processing. However, studies on the imperfect data especially with missing values are still far from success and challenging, even though such an issue is ubiquitous in the real world. Altho…

Cited by 15SourcePDFScholar