Xinyi Ding

Xinyi Ding
Southern Methodist University | SMU · Department of Computer Science

Doctor of Philosophy

About

17
Publications
2,621
Reads
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119
Citations
Citations since 2016
16 Research Items
119 Citations
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2016201720182019202020212022010203040

Publications

Publications (17)
Article
Full-text available
Hypoxemia, a medical condition that occurs when the blood is not carrying enough oxygen to adequately supply the tissues, is a leading indicator for dangerous complications of respiratory diseases like asthma, COPD, and COVID-19. While purpose-built pulse oximeters can provide accurate blood-oxygen saturation (SpO 2 ) readings that allow for diagno...
Article
Full-text available
Knowledge Tracing is the process of tracking mastery level of different skills of students for a given learning domain. It is one of the key components for building adaptive learning systems and has been investigated for decades. The empirical success of deep neural networks in the past few years has encouraged researchers in the learning science c...
Chapter
Machine learning-based approaches have greatly accelerated the progresses in the field of micro-expression detection and recognition. However, many models, especially those based on deep learning require very large databases of hand labeled data for training. Existing micro-expression data collection processes usually cost a lot and are time-consum...
Preprint
Knowledge Tracing is the process of tracking mastery level of different skills of students for a given learning domain. It is one of the key components for building adaptive learning systems and has been investigated for decades. In parallel with the success of deep neural networks in other fields, we have seen researchers take similar approaches i...
Preprint
Full-text available
Hypoxemia, a medical condition that occurs when the blood is not carrying enough oxygen to adequately supply the tissues, is a leading indicator for dangerous complications of respiratory diseases like asthma, COPD, and COVID-19. While purpose-built pulse oximeters can provide accurate blood-oxygen saturation (SpO$_2$) readings that allow for diagn...
Conference Paper
Full-text available
Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Learning based models like Deep Knowledge Tracing (DKT) and Dynamic Key-Value Memory Network (DKVMN) have achieved significant improvements compared with models like Bayesian Knowledge Tracing (BK...
Preprint
Full-text available
Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Learning based models like Deep Knowledge Tracing (DKT) and Dynamic Key-Value Memory Network (DKVMN) have achieved significant improvements compared with models like Bayesian Knowledge Tracing (BK...
Article
Full-text available
Abstract The tremendous success of deep learning for imaging applications has resulted in numerous beneficial advances. Unfortunately, this success has also been a catalyst for malicious uses such as photo-realistic face swapping of parties without consent. In this study, we use deep transfer learning for face swapping detection, showing true posit...
Article
Most existing research works involving deep learning focus on performance improvement by developing new architectures or regularizers. However, in this paper we study the modeling of uncertainty in recurrent networks for the application of student response modeling, more specifically, knowledge tracing. Knowledge tracing is an application of time s...
Preprint
Full-text available
The tremendous success of deep learning for imaging applications has resulted in numerous beneficial advances. Unfortunately , this success has also been a catalyst for malicious uses such as photo-realistic face swapping of parties without consent. Transferring one person's face from a source image to a target image of another person, while keepin...
Preprint
Full-text available
The tremendous success of deep learning for imaging applications has resulted in numerous beneficial advances. Unfortunately, this success has also been a catalyst for malicious uses such as photo-realistic face swapping of parties without consent. Transferring one person's face from a source image to a target image of another person, while keeping...
Conference Paper
Full-text available
Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Knowledge Tracing (DKT) uses recurrent neural networks (RNNs) for knowledge tracing and has achieved significant improvements compared with models like Bayesian Knowledge Tracing (BKT) and Perform...
Article
In this paper, we develop a context-aware, tablet-based learning module for adult education. Specifically, we focus on adult education in healthcare-teaching learners to perform a medical screening procedure. Based upon how learners navigate through the learning module (e.g. swipe-speed and click duration, among others), we use machine learning to...
Article
Arterial oxygen saturation (SaO2) is an indicator of how much oxygen is carried by hemoglobin in the blood. Having enough oxygen is vital for the functioning of cells in the human body. Measurement of SaO2 is typically estimated with a pulse oximeter, but recent works have investigated how smartphone cameras can be used to infer SaO2. In this paper...
Article
Pupillary diameter monitoring has been proven successful at objectively measuring cognitive load that might otherwise be unobservable. This paper compares three different algorithms for measuring cognitive load using commodity cameras. We compare the performance of modified starburst algorithm (from previous work) and propose two new algorithms: 2...
Article
With the rapid growth of various data, large-scale data centers are built to store and analyze them. These data centers are consuming enormous energy every year, while most of them are wasted due to the low utilization of servers. In recent years, many efforts are carried out to reduce the energy cost as well as ensure the QoS, while they do not di...

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