32 citations · 63 across the 6 of their papers we have counts for
6 papers
Causal Hidden Markov Model for Time Series Disease Forecasting
Jing Li, Botong Wu, Xinwei Sun +1
We propose a causal hidden Markov model to achieve robust prediction of irreversible disease at an early stage, which is safety-critical and vital for medical treatment in early st…
Identifying Invariant Texture Violation for Robust Deepfake Detection
Xinwei Sun, Botong Wu, Wei Chen
Existing deepfake detection methods have reported promising in-distribution results, by accessing published large-scale dataset. However, due to the non-smooth synthesis method, th…
Forecasting Irreversible Disease via Progression Learning
Botong Wu, Sijie Ren, Jing Li +3
Forecasting Parapapillary atrophy (PPA), i.e., a symptom related to most irreversible eye diseases, provides an alarm for implementing an intervention to slow down the disease prog…
Latent Causal Invariant Model
Xinwei Sun, Botong Wu, Xiangyu Zheng +4
Current supervised learning can learn spurious correlation during the data-fitting process, imposing issues regarding interpretability, out-of-distribution (OOD) generalization, an…
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction
Botong Wu, Zhen Zhou, Jianwei Wang +1
Refer to the literature of lung nodule classification, many studies adopt Convolutional Neural Networks (CNN) to directly predict the malignancy of lung nodules with original thora…
Zero-Shot Learning posed as a Missing Data Problem
Bo Zhao, Botong Wu, Tianfu Wu +1
This paper presents a method of zero-shot learning (ZSL) which poses ZSL as the missing data problem, rather than the missing label problem. Specifically, most existing ZSL methods…