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09/19/2023
Unsupervised Deep Cross-Language Entity Alignment
Cross-lingual entity alignment is the task of finding the same semantic ...
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06/06/2023
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
Purpose: Congenital heart defect (CHD) is the most common birth defect. ...
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04/26/2022
Experience Report: Standards-Based Grading at Scale in Algorithms
We report our experiences implementing standards-based grading at scale ...
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11/20/2021
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
In this paper, we study the problem of jointly estimating the optical fl...
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01/12/2021
Panorama: A Framework to Support Collaborative Context Monitoring on Co-Located Mobile Devices
A key challenge in wide adoption of sophisticated context-aware applicat...
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08/03/2020
Cooperative Control of Mobile Robots with Stackelberg Learning
Multi-robot cooperation requires agents to make decisions that are consi...
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07/16/2020
A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem
We investigate the sparse linear contextual bandit problem where the par...
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03/21/2020
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation
We consider solving a cooperative multi-robot object manipulation task u...
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01/22/2020
100Mbps Reconciliation for Quantum Key Distribution Using a Single Graphics Processing Unit
An efficient error reconciliation scheme is important for post-processin...
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01/04/2020
Multi-matrix rate-compatible reconciliation for quantum key distribution
Key reconciliation of quantum key distribution (QKD) is the process of c...
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12/15/2019
Utilizing Players' Playtime Records for Churn Prediction: Mining Playtime Regularity
In the free online game industry, churn prediction is an important resea...
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12/15/2019
Utilizing Players' In-game Time Spending Records for Churn Prediction: Mining In-game Time Spending Regularity
In the free online game industry, churn prediction is an important resea...
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11/12/2019
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
We study incentivized exploration for the multi-armed bandit (MAB) probl...
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09/30/2019
Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm
In this paper, we propose an alternating optimization algorithm to the n...
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04/26/2019