Li Tao — accepted AI-conference papers

2026

Relation-Aware Graph Learning with Mixture-of-Experts Prediction for Cognitive Diagnosis

Jingwei Qu, Mingze Zhang, Pingshun Zhang, Li Tao, Ying Wang, Zhaofang Yang +1

IJCAI 2026

Cognitive diagnosis aims to infer students’ concept-level mastery from exercise response logs and exercise-concept associations. Fully leveraging heterogeneous relations and modeling large mastery-difficulty variations remain challenging, especially with a single predictor. To address these challeng

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2016

A real-time example-based single-image super-resolution algorithm via cross-scale high-frequency components self-learning

Chang Su, Li Tao

ICASSP 2016accepted

In this paper, we propose a fast and dictionary-free example-based super-resolution (EBSR) algorithm to solve the contradiction in EBSR methods of their high performance in achieving high visual quality and their low efficiency and high costs. With a novel cross-scale high-frequency components (HFC)…

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