MM-DAG: Multi-task DAG Learning for Multi-modal Data -- with Application for Traffic Congestion Analysis

1 code implementation • 5 Jun 2023 • Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang

This encourages the multi-task design: with each DAG as a task, the MM-DAG tries to learn the multiple DAGs jointly so that their consensus and consistency are maximized.

Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning

1 code implementation • 26 Jun 2022 • Jiashun Cheng, Man Li, Jia Li, Fugee Tsung

Graph self-supervised learning (SSL) has been vastly employed to learn representations from unlabeled graphs.

Contrastive Learning Self-Supervised Learning

Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan

no code implementations • 7 May 2020 • Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen

To our knowledge, this study is the first work to predict the disease progression and the conversion time, which could help clinicians to deal with the potential severe cases in time or even save the patients' lives.

Classification Computed Tomography (CT) +2

Convolution Forgetting Curve Model for Repeated Learning

no code implementations • 19 Jan 2019 • Yanlu Xie, Yue Chen, Man Li

The status of forgetting (i. e. the output in the working memory model) is regarded as output function or the convolution result of the memory ability and learning material.