5 citations · 11 across the 9 of their papers we have counts for
9 papers
MHDash: An Online Platform for Benchmarking Mental Health-Aware AI Assistants
Yihe Zhang, Cheyenne N Mohawk, Kaiying Han +3
Large language models (LLMs) are increasingly applied in mental health support systems, where reliable recognition of high-risk states such as suicidal ideation and self-harm is sa…
Unified Kernel-Segregated Transpose Convolution Operation
Vijay Srinivas Tida, Md Imran Hossen, Liqun Shan +3
The optimization of the transpose convolution layer for deep learning applications is achieved with the kernel segregation mechanism. However, kernel segregation has disadvantages,…
Differentially private fine-tuned NF-Net to predict GI cancer type
Sai Venkatesh Chilukoti, Imran Hossen Md, Liqun Shan +2
Based on global genomic status, the cancer tumor is classified as Microsatellite Instable (MSI) and Microsatellite Stable (MSS). Immunotherapy is used to diagnose MSI, whereas radi…
Facebook Report on Privacy of fNIRS data
Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan +2
The primary goal of this project is to develop privacy-preserving machine learning model training techniques for fNIRS data. This project will build a local model in a centralized…
DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold
Sai Venkatesh Chilukoti, Md Imran Hossen, Liqun Shan +4
Differentially Private Stochastic Gradient Descent (DP-SGD) has become a widely used technique for safeguarding sensitive information in deep learning applications. Unfortunately,…
Kernel-Segregated Transpose Convolution Operation
Vijay Srinivas Tida, Sai Venkatesh Chilukoti, Xiali Hei +1
Transpose convolution has shown prominence in many deep learning applications. However, transpose convolution layers are computationally intensive due to the increased feature map…
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
Vijay Srinivas Tida Sai Venkatesh Chilukoti, Sonya Hsu, Xiali Hei
Recent studies demonstrated that X-ray radiography showed higher accuracy than Polymerase Chain Reaction (PCR) testing for COVID-19 detection. Therefore, applying deep learning mod…
Universal Spam Detection using Transfer Learning of BERT Model
Vijay Srinivas Tida, Sonya Hsu
Deep learning transformer models become important by training on text data based on self-attention mechanisms. This manuscript demonstrated a novel universal spam detection model u…
A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model
Vijay Srinivas Tida, Sonya Hsu, Xiali Hei
An efficient fake news detector becomes essential as the accessibility of social media platforms increases rapidly.