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10/19/2022
Identifying the Impact of User Reviews on App Updates: An Exploratory Study on App Release Notes
Release planning for mobile apps has recently become an area of active r...
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03/04/2022
Differentially Private Label Protection in Split Learning
Split learning is a distributed training framework that allows multiple ...
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11/30/2021
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks
Molecular dynamics (MD) simulation predicts the trajectory of atoms by s...
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02/17/2021
Label Leakage and Protection in Two-party Split Learning
In vertical federated learning, two-party split learning has become an i...
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07/12/2020
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations
One of the core problems in large-scale recommendations is to retrieve t...
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04/26/2019
Neural Logic Machines
We propose the Neural Logic Machine (NLM), a neural-symbolic architectur...
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10/09/2018
Rate Distortion For Model Compression: From Theory To Practice
As the size of neural network models increases dramatically today, study...
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12/08/2015
