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07/24/2023
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Owing to the nature of privacy protection, federated recommender systems...
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06/05/2023
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management
MAUP (modifiable areal unit problem) is a fundamental problem for spatia...
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03/06/2023
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment
Online real estate platforms are gaining increasing popularity, where a ...
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06/25/2022
p-Meta: Towards On-device Deep Model Adaptation
Data collected by IoT devices are often private and have a large diversi...
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04/24/2022
Adaptive Task Planning for Large-Scale Robotized Warehouses
Robotized warehouses are deployed to automatically distribute millions o...
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08/06/2021
Transferring Knowledge Distillation for Multilingual Social Event Detection
Recently published graph neural networks (GNNs) show promising performan...
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05/18/2021
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms
Large ride-hailing platforms, such as DiDi, Uber and Lyft, connect tens ...
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05/23/2019
Disentangling Redundancy for Multi-Task Pruning
Can prior network pruning strategies eliminate redundancy in multiple co...
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02/13/2019
Federated Machine Learning: Concept and Applications
Today's AI still faces two major challenges. One is that in most industr...
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09/11/2018
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates
Schema matching is a central challenge for data integration systems. Ins...
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06/04/2009