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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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06/13/2023
PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer
Personalized dialogue agents (DAs) powered by large pre-trained language...
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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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11/11/2022
Spatial Temporal Graph Convolution with Graph Structure Self-learning for Early MCI Detection
Graph neural networks (GNNs) have been successfully applied to early mil...
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10/25/2022
Parallel Order-Based Core Maintenance in Dynamic Graphs
The core numbers of vertices in a graph are one of the most well-studied...
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08/16/2022
New Parallel Order Maintenance Data Structure
The Order-Maintenance (OM) data structure maintains a total order list o...
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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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02/21/2022
Human-in-the-loop Machine Learning: A Macro-Micro Perspective
Though technical advance of artificial intelligence and machine learning...
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01/18/2022
Simplified Algorithms for Order-Based Core Maintenance
Graph analytics attract much attention from both research and industry c...
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10/11/2021
Multiway sparse distance weighted discrimination
Modern data often take the form of a multiway array. However, most class...
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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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07/27/2021
Efficient Parallel Graph Trimming by Arc-Consistency
Given a large data graph, trimming techniques can reduce the search spac...
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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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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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10/29/2019
Multi-level Thresholding Test for High Dimensional Covariance Matrices
We consider testing the equality of two high-dimensional covariance matr...
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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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07/09/2019
The Mass, Fake News, and Cognition Security
The wide spread of fake news in social networks is posing threats to soc...
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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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09/08/2018
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries
Speed and cost of logistics are two major concerns to on-line shoppers, ...
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08/05/2018
Smart City Development with Urban Transfer Learning
The rapid development of big data techniques has offered great opportuni...
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05/22/2018
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Task allocation is a major challenge in Mobile Crowd Sensing (MCS). Whil...
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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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12/01/2017
