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07/20/2023
Layer-wise Representation Fusion for Compositional Generalization
Despite successes across a broad range of applications, sequence-to-sequ...
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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...
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03/21/2023
LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translation
Simultaneous machine translation, which aims at a real-time translation,...
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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 ...
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08/21/2021
Robust Ensembling Network for Unsupervised Domain Adaptation
Recently, in order to address the unsupervised domain adaptation (UDA) p...
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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...
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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...
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03/27/2020
MCFlow: Monte Carlo Flow Models for Data Imputation
We consider the topic of data imputation, a foundational task in machine...
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04/19/2019
AnonymousNet: Natural Face De-Identification with Measurable Privacy
With billions of personal images being generated from social media and c...
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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...
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09/04/2018
Music Sequence Prediction with Mixture Hidden Markov Models
Recommendation systems that automatically generate personalized music pl...
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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...
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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 ...
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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...
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06/06/2018
Efficient Collection of Connected Vehicle Data based on Compressive Sensing
Connected vehicles (CVs) can capture and transmit detailed data like veh...
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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...
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11/13/2017
Reliability and Sharpness in Border Crossing Traffic Interval Prediction
Short-term traffic volume prediction models have been extensively studie...
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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...
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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...
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05/30/2016
