Search Results for author: Wei Ma

Found 24 papers, 11 papers with code

CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction

no code implementations COLING 2022 Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu

Transforming the large amounts of unstructured text on the Internet into structured event knowledge is a critical, yet unsolved goal of NLP, especially when addressing document-level text.

Document-level Event Extraction Event Extraction

Myopia prediction for adolescents via time-aware deep learning

no code implementations26 Sep 2022 Junjia Huang, Wei Ma, Rong Li, Na Zhao, Tao Zhou

Result: The mean absolute prediction error on the testing set was 0. 273-0. 257 for spherical equivalent, ranging from 0. 189-0. 160 to 0. 596-0. 473 if we consider different lengths of historical records and different prediction durations.

Time Series

Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs

no code implementations20 Apr 2022 Wei Ma, Sean Qian

The proposed framework is cast into the computational graph and a reparametrization trick is developed to estimate the mean and standard deviation of the probabilistic dynamic OD demand simultaneously.

Decision Making

Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases

1 code implementation8 Mar 2022 Mingxi Li, Yihong Tang, Wei Ma

Currently, most of the state-of-the-art prediction models are based on graph neural networks (GNNs), and the required training samples are proportional to the size of the traffic network.

Management Traffic Prediction

Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles

no code implementations4 Nov 2021 Ao Qu, Yihong Tang, Wei Ma

In view of this, this paper first time formulates a novel task in which a group of vehicles can cooperatively send falsified information to "cheat" DRL-based ATCS in order to save their total travel time.

reinforcement-learning

Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach

no code implementations19 Aug 2021 Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao

This paper focuses on an essential and hard problem to estimate the network-wide link travel time and station waiting time using the automatic fare collection (AFC) data in the URT system, which is beneficial to better understand the system-wide real-time operation state.

Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models

1 code implementation19 Apr 2021 Lyuyi Zhu, Kairui Feng, Ziyuan Pu, Wei Ma

The diffusion attack aims to select and attack a small set of nodes to degrade the performance of the entire prediction model.

Adversarial Attack Management +1

Line Flow based SLAM

no code implementations21 Sep 2020 Qiuyuan Wang, Zike Yan, Junqiu Wang, Fei Xue, Wei Ma, Hongbin Zha

To address these problems, we leverage a line flow to encode the coherence of line segment observations of the same 3D line along the temporal dimension, which has been neglected in prior SLAM systems.

Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method

no code implementations8 Aug 2020 Jinlei Zhang, Hongshu Che, Feng Chen, Wei Ma, Zhengbing He

The proposed model contributes to the development of short-term OD flow prediction, and it also lays the foundations of real-time URT operation and management.

Management

Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption

1 code implementation NeurIPS 2019 Wei Ma, George H. Chen

Recently, various papers have shown that we can reduce this bias in MNAR matrix completion if we know the probabilities of different matrix entries being missing.

Matrix Completion regression

High-Resolution Traffic Sensing with Autonomous Vehicles

1 code implementation6 Oct 2019 Wei Ma, Sean Qian

The last decades have witnessed the breakthrough of autonomous vehicles (AVs), and the perception capabilities of AVs have been dramatically improved.

Autonomous Vehicles Management

Test Selection for Deep Learning Systems

no code implementations30 Apr 2019 Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon

This raises the question of how we can automatically select candidate test data to test deep learning models.

General Classification Image Classification

Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs

no code implementations12 Mar 2019 Wei Ma, Xidong Pi, Sean Qian

Provided with some observations of vehicular flow for each class in a large-scale transportation network, how to estimate the multi-class spatio-temporal vehicular flow, in terms of time-varying Origin-Destination (OD) demand and path/link flow, remains a big challenge.

Probabilistic representation and inverse design of metamaterials based on a deep generative model with semi-supervised learning strategy

2 code implementations30 Jan 2019 Wei Ma, Feng Cheng, Yihao Xu, Qinlong Wen, Yongmin Liu

To better unveil this implicit relationship and thus facilitate metamaterial design, we propose to represent metamaterials and model the inverse design problem in a probabilistically generative manner.

Optics

Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data

1 code implementation26 Jan 2019 Wei Ma, Zhen, Qian

A GPU-based stochastic projected gradient descent method is proposed to efficiently solve the multi-year 24/7 DODE problem.

Traffic Prediction

A deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources

1 code implementation21 Jan 2019 Shuguan Yang, Wei Ma, Xidong Pi, Sean Qian

The case study also shows that, in generally, the prediction model works better for business areas than for recreational locations.

Efficient Traffic-Sign Recognition with Scale-aware CNN

no code implementations31 May 2018 Yuchen Yang, Shuo Liu, Wei Ma, Qiuyuan Wang, Zheng Liu

The paper presents a Traffic Sign Recognition (TSR) system, which can fast and accurately recognize traffic signs of different sizes in images.

General Classification Traffic Sign Recognition

CompNet: Neural networks growing via the compact network morphism

no code implementations27 Apr 2018 Jun Lu, Wei Ma, Boi Faltings

We explored $CompNet$, in which case we morph a well-trained neural network to a deeper one where network function can be preserved and the added layer is compact.

An Equivalence of Fully Connected Layer and Convolutional Layer

1 code implementation4 Dec 2017 Wei Ma, Jun Lu

The article is helpful for the beginners of the neural network to understand how fully connected layer and the convolutional layer work in the backend.

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