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05/22/2023
LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space
In recent years, large language models (LMs) have achieved remarkable pr...
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05/05/2023
MOSAIC: Spatially-Multiplexed Edge AI Optimization over Multiple Concurrent Video Sensing Streams
Sustaining high fidelity and high throughput of perception tasks over vi...
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03/27/2023
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
This paper investigates cross-lingual temporal knowledge graph reasoning...
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11/06/2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Recent studies have revealed the intriguing few-shot learning ability of...
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10/16/2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
In this paper, we investigate a realistic but underexplored problem, cal...
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09/27/2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks
Purely data-driven deep neural networks (DNNs) applied to physical engin...
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03/29/2022
Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification
This paper presents a semi-supervised learning framework that is new in ...
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02/12/2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
With the increasing demands on e-commerce platforms, numerous user actio...
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11/18/2021
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving
Object detection in state-of-the-art Autonomous Vehicles (AV) framework ...
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10/01/2021
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders
This paper develops a novel unsupervised algorithm for belief representa...
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02/23/2021
Controllable and Diverse Text Generation in E-commerce
In E-commerce, a key challenge in text generation is to find a good trad...
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11/02/2020
Scheduling Real-time Deep Learning Services as Imprecise Computations
The paper presents an efficient real-time scheduling algorithm for intel...
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10/31/2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
This paper reviews the novel concept of controllable variational autoenc...
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09/15/2020
Challenging β-VAE with β< 1 for Disentanglement Via Dynamic Learning
This paper challenges the common assumption that the weight of β-VAE sho...
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05/11/2020
Hypergraph Learning with Line Expansion
Previous hypergraph expansions are solely carried out on either vertex l...
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04/30/2020
Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US
Current social distancing measures to impede COVID-19 (such as shelter-i...
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04/13/2020
paper2repo: GitHub Repository Recommendation for Academic Papers
GitHub has become a popular social application platform, where a large n...
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04/13/2020
Controllable Variational Autoencoder
Variational Autoencoders (VAE) and their variants have been widely used ...
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04/04/2020
The Paradox of Information Access: Growing Isolation in the Age of Sharing
Modern online media, such as Twitter, Instagram, and YouTube, enable any...
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03/30/2020
Revisiting "Over-smoothing" in Deep GCNs
Oversmoothing has been assumed to be the major cause of performance drop...
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11/28/2019
Macross: Urban Dynamics Modeling based on Metapath Guided Cross-Modal Embedding
As the ongoing rapid urbanization takes place with an ever-increasing sp...
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02/21/2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
Recent advances in deep learning motivate the use of deep neural network...
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09/19/2018
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices
Deep neural networks show great potential as solutions to many sensing a...
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06/05/2017
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
Recent advances in deep learning motivate the use of deep neutral networ...
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11/07/2016