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04/24/2023
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
Heterogeneity across devices in federated learning (FL) typically refers...
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03/15/2023
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks
Federated learning (FL) has been promoted as a popular technique for tra...
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02/22/2023
Scaling Robot Learning with Semantically Imagined Experience
Recent advances in robot learning have shown promise in enabling robots ...
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02/09/2022
GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection
The reliability of wireless base stations in China Mobile is of vital im...
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02/07/2022
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
Federated learning (FedL) has emerged as a popular technique for distrib...
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01/25/2022
Coded Caching with Heterogeneous User Profiles
Coded caching utilizes pre-fetching during off-peak hours and multi-cast...
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11/25/2021
Less is More: Generating Grounded Navigation Instructions from Landmarks
We study the automatic generation of navigation instructions from 360-de...
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11/08/2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Host-based threats such as Program Attack, Malware Implantation, and Adv...
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09/23/2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications
Unsupervised Deep Learning (DL) techniques have been widely used in vari...
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06/29/2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
We consider distributed machine learning (ML) through unmanned aerial ve...
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01/26/2021
On the Evaluation of Vision-and-Language Navigation Instructions
Vision-and-Language Navigation wayfinding agents can be enhanced by expl...
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01/04/2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
The conventional federated learning (FedL) architecture distributes mach...
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08/17/2020
Narrative Interpolation for Generating and Understanding Stories
We propose a method for controlled narrative/story generation where we a...
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04/17/2020
Network-Aware Optimization of Distributed Learning for Fog Computing
Fog computing promises to enable machine learning tasks to scale to larg...
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09/15/2019
Query-Focused Scenario Construction
The news coverage of events often contains not one but multiple incompat...
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10/31/2018
A task in a suit and a tie: paraphrase generation with semantic augmentation
Paraphrasing is rooted in semantics. We show the effectiveness of transf...
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10/31/2018
Picking Apart Story Salads
During natural disasters and conflicts, information about what happened ...
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04/02/2018
Modeling Semantic Plausibility by Injecting World Knowledge
Distributional data tells us that a man can swallow candy, but not that ...
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09/07/2017
Leveraging Discourse Information Effectively for Authorship Attribution
We explore techniques to maximize the effectiveness of discourse informa...
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04/14/2017