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04/30/2023
SFC: Near-Source Congestion Signaling and Flow Control
State-of-the-art congestion control algorithms for data centers alone do...
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01/24/2022
Design Strategies and Approximation Methods for High-Performance Computing Variability Management
Performance variability management is an active research area in high-pe...
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01/22/2022
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint
Federated learning makes it possible for all parties with data isolation...
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01/07/2022
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement
Federated learning trains models across devices with distributed data, w...
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07/03/2021
Boost-R: Gradient Boosted Trees for Recurrence Data
Recurrence data arise from multi-disciplinary domains spanning reliabili...
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04/30/2021
An Adversarial Transfer Network for Knowledge Representation Learning
Knowledge representation learning has received a lot of attention in the...
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03/03/2020
Data Migration using Datalog Program Synthesis
This paper presents a new technique for migrating data between different...
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08/01/2019
Rebellion on Sugarscape: Case Studies for Greed and Grievance Theory of Civil Conflicts using Agent-Based Models
Public policy making has direct and indirect impacts on social behaviors...
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04/01/2019
Analysis of Large Heterogeneous Repairable System Reliability Data with Static System Attributes and Dynamic Sensor Measurement in Big Data Environment
In Big Data environment, one pressing challenge facing engineers is to p...
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11/04/2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Knowledge graph embedding aims at modeling entities and relations with l...
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09/23/2018
Incorporating GAN for Negative Sampling in Knowledge Representation Learning
Knowledge representation learning aims at modeling knowledge graph by en...
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09/08/2018
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation
Recent neural models for data-to-text generation are mostly based on dat...
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08/15/2018
Incorporating Consistency Verification into Neural Data-to-Document Generation
Recent neural models for data-to-document generation have achieved remar...
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11/07/2016
Chinese/English mixed Character Segmentation as Semantic Segmentation
OCR character segmentation for multilingual printed documents is difficu...
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07/30/2015
