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07/28/2023
TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety
Large Language Models (LLMs) have shown remarkable effectiveness in vari...
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03/31/2023
Exploratory analysis of injury severity under different levels of driving automation (SAE Level 2-5) using multi-source data
Vehicles equipped with automated driving capabilities have shown the pot...
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03/22/2023
AVOID: Autonomous Vehicle Operation Incident Dataset Across the Globe
Crash data of autonomous vehicles (AV) or vehicles equipped with advance...
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03/06/2023
ChatGPT is on the horizon: Could a large language model be all we need for Intelligent Transportation?
ChatGPT, developed by OpenAI, is one of the largest Large Language Model...
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12/22/2022
On Calibrating Semantic Segmentation Models: Analysis and An Algorithm
We study the problem of semantic segmentation calibration. For image cla...
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10/26/2021
Deep Learning-based Segmentation of Cerebral Aneurysms in 3D TOF-MRA using Coarse-to-Fine Framework
BACKGROUND AND PURPOSE: Cerebral aneurysm is one of the most common cere...
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10/26/2021
An Automatic Detection Method Of Cerebral Aneurysms In Time-Of-Flight Magnetic Resonance Angiography Images Based On Attention 3D U-Net
Background:Subarachnoid hemorrhage caused by ruptured cerebral aneurysm ...
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01/20/2021
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19
An accurate and efficient forecasting system is imperative to the preven...
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12/17/2020
The Causal Learning of Retail Delinquency
This paper focuses on the expected difference in borrower's repayment wh...
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03/31/2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
We study how to train a student deep neural network for visual recogniti...
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11/28/2018