
Attacking Deep Reinforcement LearningBased Traffic Signal Control Systems with Colluding Vehicles
The rapid advancements of Internet of Things (IoT) and artificial intell...
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Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation
Accurate traffic state information plays a pivotal role in the Intellige...
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Networkwide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach
Urban rail transit (URT) system plays a dominating role in many megaciti...
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Towards a Very Large Scale Traffic Simulator for MultiAgent Reinforcement Learning Testbeds
Smart traffic control and management become an emerging application for ...
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Adversarial Diffusion Attacks on Graphbased Traffic Prediction Models
Realtime traffic prediction models play a pivotal role in smart mobilit...
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Efficient Processing of kregret Minimization Queries with Theoretical Guarantees
Assisting end users to identify desired results from a large dataset is ...
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A general theory of regression adjustment for covariateadaptive randomization: OLS, Lasso, and beyond
We consider the problem of estimating and inferring treatment effects in...
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Line Flow based SLAM
We propose a method of visual SLAM by predicting and updating line flows...
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Regression analysis for covariateadaptive randomization: A robust and efficient inference perspective
Linear regression is arguably the most fundamental statistical model; ho...
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Efficient Estimation of Mixture Cure Frailty Model for Clustered Current Status Data
Current status data abounds in the field of epidemiology and public heal...
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Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
Matrix completion is often applied to data with entries missing not at r...
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HighResolution Traffic Sensing with Autonomous Vehicles
The last decades have witnessed the breakthrough of autonomous vehicles ...
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Test Selection for Deep Learning Systems
Testing of deep learning models is challenging due to the excessive numb...
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Estimating multiclass dynamic origindestination demand through a forwardbackward algorithm on computational graphs
Transportation networks are unprecedentedly complex with heterogeneous v...
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Statistical inference of probabilistic origindestination demand using daytoday traffic data
Recent transportation network studies on uncertainty and reliability cal...
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Estimating multiyear 24/7 origindestination demand using highgranular multisource traffic data
Dynamic origindestination (OD) demand is central to transportation syst...
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A deep learning approach to realtime parking occupancy prediction in spatiotermporal networks incorporating multiple spatiotemporal data sources
A deep learning model is proposed for predicting blocklevel parking occ...
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An Interpretable Produce Price Forecasting System for Small and Marginal Farmers in India using Collaborative Filtering and Adaptive Nearest Neighbors
Small and marginal farmers, who account for over 80 population, often se...
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Statistical Inference of CovariateAdjusted Randomized Experiments
Covariateadjusted randomization procedure is frequently used in compara...
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Efficient TrafficSign Recognition with Scaleaware CNN
The paper presents a Traffic Sign Recognition (TSR) system, which can fa...
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CompNet: Neural networks growing via the compact network morphism
It is often the case that the performance of a neural network can be imp...
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Phased Microphone Array for Sound Source Localization with Deep Learning
To phased microphone array for sound source localization, algorithm with...
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An Equivalence of Fully Connected Layer and Convolutional Layer
This article demonstrates that convolutional operation can be converted ...
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Improving the Efficiency of DAMAS for Sound Source Localization via Wavelet Compression Computational Grid
Phased microphone arrays are used widely in the applications for acousti...
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Wei Ma
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