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07/29/2023
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks
Testing deep learning-based systems is crucial but challenging due to th...
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07/06/2023
The Relationship Between Speech Features Changes When You Get Depressed: Feature Correlations for Improving Speed and Performance of Depression Detection
This work shows that depression changes the correlation between features...
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04/29/2023
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking
To provide real-time parking information, existing studies focus on pred...
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03/04/2023
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks
Effective traffic control methods have great potential in alleviating ne...
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09/26/2022
Myopia prediction for adolescents via time-aware deep learning
Background: Quantitative prediction of the adolescents' spherical equiva...
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08/13/2022
Happiness Maximizing Sets under Group Fairness Constraints (Technical Report)
Finding a happiness maximizing set (HMS) from a database, i.e., selectin...
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06/05/2022
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach
Curb space is one of the busiest areas in urban road networks. Especiall...
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04/08/2022
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment
Deep Neural Networks (DNNs) have gained considerable attention in the pa...
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03/08/2022
Few-Shot Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases
Accurate short-term traffic prediction plays a pivotal role in various s...
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02/08/2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Accurate real-time traffic forecast is critical for intelligent transpor...
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12/02/2021
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses
Code embedding is a keystone in the application of machine learning on s...
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11/04/2021
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles
The rapid advancements of Internet of Things (IoT) and artificial intell...
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10/29/2021
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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08/19/2021
Network-wide 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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05/28/2021
Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds
Smart traffic control and management become an emerging application for ...
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04/19/2021
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models
Real-time traffic prediction models play a pivotal role in smart mobilit...
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03/22/2021
Efficient Processing of k-regret Minimization Queries with Theoretical Guarantees
Assisting end users to identify desired results from a large dataset is ...
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11/19/2020
A general theory of regression adjustment for covariate-adaptive randomization: OLS, Lasso, and beyond
We consider the problem of estimating and inferring treatment effects in...
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09/21/2020
Line Flow based SLAM
We propose a method of visual SLAM by predicting and updating line flows...
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09/04/2020
Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective
Linear regression is arguably the most fundamental statistical model; ho...
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12/01/2019
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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10/28/2019
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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10/06/2019
High-Resolution Traffic Sensing with Autonomous Vehicles
The last decades have witnessed the breakthrough of autonomous vehicles ...
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04/30/2019
Test Selection for Deep Learning Systems
Testing of deep learning models is challenging due to the excessive numb...
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03/12/2019
Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs
Transportation networks are unprecedentedly complex with heterogeneous v...
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01/29/2019
Statistical inference of probabilistic origin-destination demand using day-to-day traffic data
Recent transportation network studies on uncertainty and reliability cal...
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01/26/2019
Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data
Dynamic origin-destination (OD) demand is central to transportation syst...
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01/21/2019
A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources
A deep learning model is proposed for predicting block-level parking occ...
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12/12/2018
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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07/25/2018
Statistical Inference of Covariate-Adjusted Randomized Experiments
Covariate-adjusted randomization procedure is frequently used in compara...
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05/31/2018
Efficient Traffic-Sign Recognition with Scale-aware CNN
The paper presents a Traffic Sign Recognition (TSR) system, which can fa...
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04/27/2018
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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02/13/2018
Phased Microphone Array for Sound Source Localization with Deep Learning
To phased microphone array for sound source localization, algorithm with...
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12/04/2017
An Equivalence of Fully Connected Layer and Convolutional Layer
This article demonstrates that convolutional operation can be converted ...
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08/18/2016
