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04/06/2023
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
Knowledge Graph Embedding (KGE) is a fundamental technique that extracts...
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01/24/2023
Sequential propagation of chaos
A new class of particle systems with sequential interaction is proposed ...
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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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10/14/2022
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
Training long-horizon robotic policies in complex physical environments ...
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10/04/2022
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Vertical Federated Learning (FL) is a new paradigm that enables users wi...
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06/04/2022
Soft Retargeting Network for Click Through Rate Prediction
The study of user interest models has received a great deal of attention...
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04/25/2022
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction
Rich user behavior information is of great importance for capturing and ...
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02/17/2022
A Machine Learning Approach for Automated Filling of Data Entry Forms
Users frequently interact with software systems through data entry forms...
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10/28/2021
An AI-based Approach for Tracing Content Requirements in Financial Documents
The completeness (in terms of content) of financial documents is a funda...
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09/29/2020
DUMP: A Dummy-Point-Based Framework for Histogram Estimation in Shuffle Model
In Central Differential Privacy (CDP), there is a trusted analyst who co...
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10/23/2018
Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding
Developers increasingly rely on text matching tools to analyze the relat...
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09/29/2018
Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes
Recent years have witnessed the growing demands for resolving numerous b...
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05/13/2018
