Search Results for author:
Found 8 papers, 2 papers with code
EyeGPT: Ophthalmic Assistant with Large Language Models
Artificial intelligence (AI) has gained significant attention in healthcare consultation due to its potential to improve clinical workflow and enhance medical communication.
Towards ultra-low-cost smartphone microscopy
The outbreak of COVID-19 exposed the inadequacy of our technical tools for home health surveillance, and recent studies have shown the potential of smartphones as a universal optical microscopic imaging platform for such applications.
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems
We merge the capabilities of both supervised and unsupervised approaches in our method to generate new adversarial samples which aid in improving model robustness.
Attack on practical speaker verification system using universal adversarial perturbations
In authentication scenarios, applications of practical speaker verification systems usually require a person to read a dynamic authentication text.
Real-World Adversarial Attack
Room Impulse Response (RIR)
+3
Training Stronger Baselines for Learning to Optimize
Learning to optimize (L2O) has gained increasing attention since classical optimizers require laborious problem-specific design and hyperparameter tuning.
Active Learning for Wireless IoT Intrusion Detection
This paper discusses the human-in-the-loop active learning approach for wireless intrusion detection.
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Modern communication networks have become very complicated and highly dynamic, which makes them hard to model, predict and control.
Scattering Parameters and Surface Normals from Homogeneous Translucent Materials using Photometric Stereo
This paper proposes a novel photometric stereo solution to jointly estimate surface normals and scattering parameters from a globally planar, homogeneous, translucent object.
