b'Wei Ma'

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Featured Co-authors

Jie Zhang
215 publications
Ying Zhang
107 publications
Feng Chen
89 publications
Zheng Liu
78 publications
Yang Li
74 publications
Tao Zhou
70 publications
Yves Le Traon
62 publications
Tong Wang
62 publications
Mike Papadakis
54 publications
Boi Faltings
53 publications
Xiao Huang
46 publications

research

∙ 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...

0 Qiang Hu, et al. ∙

research

∙ 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...

0 Fuxiang Tao, et al. ∙

research

∙ 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...

0 Hanyu Sun, et al. ∙

research

∙ 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...

0 Zijian Hu, et al. ∙

research

∙ 09/26/2022

Myopia prediction for adolescents via time-aware deep learning

Background: Quantitative prediction of the adolescents' spherical equiva...

0 Junjia Huang, et al. ∙

research

∙ 08/13/2022

Happiness Maximizing Sets under Group Fairness Constraints (Technical Report)

Finding a happiness maximizing set (HMS) from a database, i.e., selectin...

0 Jiping Zheng, et al. ∙

research

∙ 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...

0 Xiaohui Liu, et al. ∙

research

∙ 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...

2 Qiang Hu, et al. ∙

research

∙ 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...

0 Mingxi Li, et al. ∙

research

∙ 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...

0 Yihong Tang, et al. ∙

research

∙ 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...

0 Wei Ma, et al. ∙

research

∙ 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...

0 Ao Qu, et al. ∙

research

∙ 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...

6 Zijian Hu, et al. ∙

research

∙ 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...

6 Jinlei Zhang, et al. ∙

research

∙ 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 ...

0 Zijian Hu, et al. ∙

research

∙ 04/19/2021

Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models

Real-time traffic prediction models play a pivotal role in smart mobilit...

0 Lyuyi Zhu, et al. ∙

research

∙ 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 ...

0 Jiping Zheng, et al. ∙

research

∙ 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...

0 Hanzhong Liu, et al. ∙

research

∙ 09/21/2020

Line Flow based SLAM

We propose a method of visual SLAM by predicting and updating line flows...

11 Qiuyuan Wang, et al. ∙

research

∙ 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...

0 Wei Ma, et al. ∙

research

∙ 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...

0 Tong Wang, et al. ∙

research

∙ 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...

0 Wei Ma, et al. ∙

research

∙ 10/06/2019

High-Resolution Traffic Sensing with Autonomous Vehicles

The last decades have witnessed the breakthrough of autonomous vehicles ...

0 Wei Ma, et al. ∙

research

∙ 04/30/2019

Test Selection for Deep Learning Systems

Testing of deep learning models is challenging due to the excessive numb...

0 Wei Ma, et al. ∙

research

∙ 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...

0 Wei Ma, et al. ∙

research

∙ 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...

0 Wei Ma, et al. ∙

research

∙ 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...

0 Wei Ma, et al. ∙

research

∙ 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...

0 Shuguan Yang, et al. ∙

research

∙ 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...

0 Wei Ma, et al. ∙

research

∙ 07/25/2018

Statistical Inference of Covariate-Adjusted Randomized Experiments

Covariate-adjusted randomization procedure is frequently used in compara...

0 Wei Ma, et al. ∙

research

∙ 05/31/2018

Efficient Traffic-Sign Recognition with Scale-aware CNN

The paper presents a Traffic Sign Recognition (TSR) system, which can fa...

10 Yuchen Yang, et al. ∙

research

∙ 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...

0 Jun Lu, et al. ∙

research

∙ 02/13/2018

Phased Microphone Array for Sound Source Localization with Deep Learning

To phased microphone array for sound source localization, algorithm with...

0 Wei Ma, et al. ∙

research

∙ 12/04/2017

An Equivalence of Fully Connected Layer and Convolutional Layer

This article demonstrates that convolutional operation can be converted ...

0 Wei Ma, et al. ∙

research

∙ 08/18/2016

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...

0 Wei Ma, et al. ∙

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