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05/19/2023
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions
Statistical shape modeling (SSM) is an essential tool for analyzing vari...
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02/18/2023
2D-Empowered 3D Object Detection on the Edge
3D object detection has a pivotal role in a wide range of applications, ...
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10/31/2022
Lita: Accelerating Distributed Training of Sparsely Activated Models
Scaling model parameters usually improves model quality, but at the pric...
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02/16/2022
Aryl: An Elastic Cluster Scheduler for Deep Learning
Companies build separate training and inference GPU clusters for deep le...
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06/01/2021
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) is a well-known single-channel blin...
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05/29/2021
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
Existing slot filling models can only recognize pre-defined in-domain sl...
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05/29/2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Detecting Out-of-Domain (OOD) or unknown intents from user queries is es...
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08/01/2020
Predictive Switch-Controller Association and Control Devolution for SDN Systems
For software-defined networking (SDN) systems, to enhance the scalabilit...
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08/01/2020
Joint Switch-Controller Association and Control Devolution for SDN Systems: An Integration of Online Control and Online Learning
In software-defined networking (SDN) systems, it is a common practice to...
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07/10/2020
Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening
Cryogenic electron microscopy (cryo-EM) has become an enabling technolog...
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02/17/2020
Simulating Performance of ML Systems with Offline Profiling
We advocate that simulation based on offline profiling is a promising ap...
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12/01/2019
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
Playing an essential role in data mining, machine learning has a long hi...
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09/20/2019
Scalable Traffic Engineering for Higher Throughput in Heavily-loaded Software Defined Networks
Existing traffic engineering (TE) solutions performs well for software d...
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09/04/2019
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment
A recent trend observed in traditionally challenging fields such as comp...
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07/06/2019
Node-Constrained Traffic Engineering: Theory and Applications
Traffic engineering (TE) is a fundamental task in networking. Convention...
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03/17/2019
NetKernel: Making Network Stack Part of the Virtualized Infrastructure
This paper presents a system called NetKernel that decouples the network...
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02/26/2019
Saec: Similarity-Aware Embedding Compression in Recommendation Systems
Production recommendation systems rely on embedding methods to represent...
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02/14/2019
Flash: Efficient Dynamic Routing for Offchain Networks
Offchain networks emerge as a promising solution to address the scalabil...
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12/27/2018
Stanza: Layer Separation for Distributed Training in Deep Learning
The parameter server architecture is prevalently used for distributed de...
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12/27/2018
Stanza: Distributed Deep Learning with Small Communication Footprint
The parameter server architecture is prevalently used for distributed de...
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09/07/2018
Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks
A network embedding consists of a vector representation for each node in...
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03/30/2018
Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems
The authors present an overview of a hierarchical framework for coordina...
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11/18/2017
Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach
Territorial control is a key aspect shaping the dynamics of civil war. D...
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02/17/2017
Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios
Multi-agent path finding (MAPF) is well-studied in artificial intelligen...
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07/04/2014
RepNet: Cutting Tail Latency in Data Center Networks with Flow Replication
Data center networks need to provide low latency, especially at the tail...
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07/29/2013
RepFlow: Minimizing Flow Completion Times with Replicated Flows in Data Centers
Short TCP flows that are critical for many interactive applications in d...
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03/20/2013
An Efficient Implementation of Belief Function Propagation
The local computation technique (Shafer et al. 1987, Shafer and Shenoy 1...
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03/13/2013
A Decision Calculus for Belief Functions in Valuation-Based Systems
Valuation-based system (VBS) provides a general framework for representi...
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03/06/2013
A Belief-Function Based Decision Support System
In this paper, we present a decision support system based on belief func...
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02/27/2013
Evidential Reasoning with Conditional Belief Functions
In the existing evidential networks with belief functions, the relations...
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09/04/2009
