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09/04/2023
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
Learning accurate cross-domain preference mappings in the absence of ove...
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03/23/2023
Limits of Predictability in Top-N Recommendation
Top-N recommendation aims to recommend each consumer a small set of N it...
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11/29/2022
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices
The ubiquity of camera-embedded devices and the advances in deep learnin...
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08/09/2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation
Recent sequential recommendation models rely increasingly on consecutive...
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08/04/2022
Equivalence between Time Series Predictability and Bayes Error Rate
Predictability is an emerging metric that quantifies the highest possibl...
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07/02/2022
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
The intelligent dialogue system, aiming at communicating with humans har...
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10/11/2021
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation
Questions in Community Question Answering (CQA) sites are recommended to...
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08/18/2021
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
The prediction of express delivery sequence, i.e., modeling and estimati...
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08/16/2021
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
Surface defect detection plays an increasingly important role in manufac...
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08/16/2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Automated Guided Vehicles (AGVs) have been widely used for material hand...
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03/20/2021
RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree
Identity recognition plays an important role in ensuring security in our...
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01/28/2021
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications
There are many deep learning (e.g., DNN) powered mobile and wearable app...
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07/18/2020
Object Tracking by Least Spatiotemporal Searches
Tracking a car or a person in a city is crucial for urban safety managem...
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03/02/2020
Towards information-rich, logical text generation with knowledge-enhanced neural models
Text generation system has made massive promising progress contributed b...
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01/21/2020
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
The vast proliferation of sensor devices and Internet of Things enables ...
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09/09/2019
The Future of Misinformation Detection: New Perspectives and Trends
The massive spread of misinformation in social networks has become a glo...
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09/08/2019
c-TextGen: Conditional Text Generation for Harmonious Human-Machine Interaction
In recent years, with the development of deep learning technology, text ...
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09/02/2019
CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing
With the rise of crowdsourcing and mobile crowdsensing techniques, a lar...
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08/07/2019
From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data
With the development of mobile social networks, more and more crowdsourc...
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05/24/2019
Learning Cross-Domain Representation with Multi-Graph Neural Network
Learning effective embedding has been proved to be useful in many real-w...
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05/22/2019
Multi-agent Attentional Activity Recognition
Multi-modality is an important feature of sensor based activity recognit...
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05/01/2019
AI-Powered Text Generation for Harmonious Human-Machine Interaction: Current State and Future Directions
In the last two decades, the landscape of text generation has undergone ...
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04/22/2019
Inner-Imaging Convolutional Networks
Despite the tremendous success in computer vision, deep convolutional ne...
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09/04/2018
Metabolize Neural Network
The metabolism of cells is the most basic and important part of human fu...
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05/17/2018
Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling
Multimodal features play a key role in wearable sensor-based human activ...
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02/15/2018
CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data
In recent years, bike-sharing systems have been deployed in many cities,...
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01/23/2018
Automatic construction of Chinese herbal prescription from tongue image via CNNs and auxiliary latent therapy topics
The tongue image is an important physical information of human, it is of...
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12/01/2017
Wi-Fi CSI based Behavior Recognition: From Signals, Actions to Activities
Human behavior recognition has been considered as a core technology that...
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11/21/2017