Lei Lin | DeepAI

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Featured Co-authors

Yang Liu
344 publications
Jian Wang
164 publications
Lei Zhu
121 publications
Tao Li
100 publications
Huiyu Zhou
67 publications
Shan Liu
55 publications
Anuj Sharma
33 publications
Weizi Li
18 publications
Han Sun
15 publications
Yidong Chen
14 publications
Xiaodong Shi
14 publications

∙ 07/20/2023

Layer-wise Representation Fusion for Compositional Generalization

Despite successes across a broad range of applications, sequence-to-sequ...

0 Yafang Zheng, et al. ∙

∙ 05/20/2023

Learn to Compose Syntactic and Semantic Representations Appropriately for Compositional Generalization

Recent studies have shown that sequence-to-sequence (Seq2Seq) models are...

0 Lei Lin, et al. ∙

∙ 03/21/2023

LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translation

Simultaneous machine translation, which aims at a real-time translation,...

0 Lei Lin, et al. ∙

∙ 11/22/2021

Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network

Accurate prediction of network-wide traffic conditions is essential for ...

0 Lei Lin, et al. ∙

∙ 08/21/2021

Robust Ensembling Network for Unsupervised Domain Adaptation

Recently, in order to address the unsupervised domain adaptation (UDA) p...

0 Han Sun, et al. ∙

∙ 07/24/2021

MDQE: A More Accurate Direct Pretraining for Machine Translation Quality Estimation

It is expensive to evaluate the results of Machine Translation(MT), whic...

0 Lei Lin, et al. ∙

∙ 04/03/2021

Neural Process for Black-Box Model Optimization Under Bayesian Framework

There are a large number of optimization problems in physical models whe...

0 Zhongkai Shangguan, et al. ∙

∙ 03/27/2020

MCFlow: Monte Carlo Flow Models for Data Imputation

We consider the topic of data imputation, a foundational task in machine...

0 Trevor W. Richardson, et al. ∙

∙ 04/19/2019

AnonymousNet: Natural Face De-Identification with Measurable Privacy

With billions of personal images being generated from social media and c...

0 Tao Li, et al. ∙

∙ 03/28/2019

Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis

Myotonia, which refers to delayed muscle relaxation after contraction, i...

0 Lei Lin, et al. ∙

∙ 09/04/2018

Music Sequence Prediction with Mixture Hidden Markov Models

Recommendation systems that automatically generate personalized music pl...

0 Tao Li, et al. ∙

∙ 07/30/2018

YouTube AV 50K: an Annotated Corpus for Comments in Autonomous Vehicles

With one billion monthly viewers, and millions of users discussing and s...

0 Tao Li, et al. ∙

∙ 06/26/2018

A Compressive Sensing Approach for Connected Vehicle Data Capture and Recovery and its Impact on Travel Time Estimation

Connected vehicles (CVs) can capture and transmit detailed data such as ...

0 Lei Lin, et al. ∙

∙ 06/07/2018

A Comprehensive Framework for Dynamic Bike Rebalancing in a Large Bike Sharing Network

Bike sharing is a vital component of a modern multi-modal transportation...

0 Lei Lin, et al. ∙

∙ 06/06/2018

Efficient Collection of Connected Vehicle Data based on Compressive Sensing

Connected vehicles (CVs) can capture and transmit detailed data like veh...

0 Lei Lin, et al. ∙

∙ 12/13/2017

Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach

Bike sharing is a vital piece in a modern multi-modal transportation sys...

0 Lei Lin, et al. ∙

∙ 11/13/2017

Reliability and Sharpness in Border Crossing Traffic Interval Prediction

Short-term traffic volume prediction models have been extensively studie...

0 Lei Lin, et al. ∙

∙ 11/13/2017

Bi-National Delay Pattern Analysis For Commercial and Passenger Vehicles at Niagara Frontier Border

Border crossing delays between New York State and Southern Ontario cause...

0 Zhenhua Zhang, et al. ∙

∙ 10/31/2017

Abnormal Spatial-Temporal Pattern Analysis for Niagara Frontier Border Wait Times

Border crossing delays cause problems like huge economics loss and heavy...

0 Zhenhua Zhang, et al. ∙

∙ 05/30/2016

Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention

In this paper, we proposed a sentence encoding-based model for recognizi...

0 Yang Liu, et al. ∙

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