25 citations · 71 across the 16 of their papers we have counts for
16 papers
Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder
Halil Ismail Helvaci, Sen-ching Samson Cheung, Chen-Nee Chuah +1
Autism Spectrum Disorder (ASD) presents significant challenges in early diagnosis and intervention, impacting children and their families. With prevalence rates rising, there is a…
MobilityGPT: Enhanced Human Mobility Modeling with a GPT model
Ammar Haydari, Dongjie Chen, Zhengfeng Lai +2
Generative models have shown promising results in capturing human mobility characteristics and generating synthetic trajectories. However, it remains challenging to ensure that the…
DPGOMI: Differentially Private Data Publishing with Gaussian Optimized Model Inversion
Dongjie Chen, Sen-ching S. Cheung, Chen-Nee Chuah
High-dimensional data are widely used in the era of deep learning with numerous applications. However, certain data which has sensitive information are not allowed to be shared wit…
VeCLIP: Improving CLIP Training via Visual-enriched Captions
Zhengfeng Lai, Haotian Zhang, Bowen Zhang +9
Large-scale web-crawled datasets are fundamental for the success of pre-training vision-language models, such as CLIP. However, the inherent noise and potential irrelevance of web-…
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora, Kartik Patwari, Syed Mahbub Hafiz +2
The increasing size of Deep Neural Networks (DNNs) poses a pressing need for model compression, particularly when employed on resource constrained devices. Concurrently, the suscep…
Gait Event Detection and Travel Distance Using Waist-Worn Accelerometers across a Range of Speeds: Automated Approach
Albara Ah Ramli, Xin Liu, Kelly Berndt +11
Estimation of temporospatial clinical features of gait (CFs), such as step count and length, step duration, step frequency, gait speed, and distance traveled, is an important compo…
Differentially Private Generative Adversarial Networks with Model Inversion
Dongjie Chen, Sen-ching Samson Cheung, Chen-Nee Chuah +1
To protect sensitive data in training a Generative Adversarial Network (GAN), the standard approach is to use differentially private (DP) stochastic gradient descent method in whic…
Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
Ammar Haydari, Chen-Nee Chuah, Michael Zhang +2
Location data is collected from users continuously to understand their mobility patterns. Releasing the user trajectories may compromise user privacy. Therefore, the general practi…
A Natural Language Processing and Deep Learning based Model for Automated Vehicle Diagnostics using Free-Text Customer Service Reports
Ali Khodadadi, Soroush Ghandiparsi, Chen-Nee Chuah
Initial fault detection and diagnostics are imperative measures to improve the efficiency, safety, and stability of vehicle operation. In recent years, numerous studies have invest…
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
Gregory B. Rehm, Chao Wang, Irene Cortes-Puch +2
The acute respiratory distress syndrome (ARDS) is a severe form of hypoxemic respiratory failure with in-hospital mortality of 35-46%. High mortality is thought to be related in pa…
Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance
Gregory Rehm, Jimmy Nguyen, Chelsea Gilbeau +3
Non-invasive estimation of respiratory physiology using computational algorithms promises to be a valuable technique for future clinicians to detect detrimental changes in patient…
Minimizing L1 over L2 norms on the gradient
Chao Wang, Min Tao, Chen-Nee Chuah +2
In this paper, we study the L1/L2 minimization on the gradient for imaging applications. Several recent works have demonstrated that L1/L2 is better than the L1 norm when approxima…
Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode
Gregory B. Rehm, Brooks T. Kuhn, Jimmy Nguyen +3
Clinical decision support systems (CDSS) will play an in-creasing role in improving the quality of medical care for critically ill patients. However, due to limitations in current…
Anomaly Detection in Hierarchical Data Streams under Unknown Models
Sattar Vakili, Qing Zhao, Chang Liu +1
We consider the problem of detecting a few targets among a large number of hierarchical data streams. The data streams are modeled as random processes with unknown and potentially…
Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks
Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao +3
Content popularity prediction has been extensively studied due to its importance and interest for both users and hosts of social media sites like Facebook, Instagram, Twitter, and…
Optimal Nested Test Plan for Combinatorial Quantitative Group Testing
Chao Wang, Qing Zhao, Chen-Nee Chuah
We consider the quantitative group testing problem where the objective is to identify defective items in a given population based on results of tests performed on subsets of the po…