research
∙
03/23/2023
Decentralized Adversarial Training over Graphs
The vulnerability of machine learning models to adversarial attacks has ...
share
research
∙
03/03/2023
Multi-Agent Adversarial Training Using Diffusion Learning
This work focuses on adversarial learning over graphs. We propose a gene...
research
∙
01/03/2023
Boosting Neural Networks to Decompile Optimized Binaries
Decompilation aims to transform a low-level program language (LPL) (eg.,...
research
∙
09/22/2022
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training
An activation function is an element-wise mathematical function and play...
research
∙
09/01/2022
Optimal Regularized Online Convex Allocation by Adaptive Re-Solving
This paper introduces a dual-based algorithm framework for solving the r...
research
∙
12/22/2021
Semantics-Recovering Decompilation through Neural Machine Translation
Decompilation transforms low-level program languages (PL) (e.g., binary ...
research
∙
01/26/2021
Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation
In this paper, we propose a fully automatic system for generating comic ...
research
∙
01/26/2021
Online Network Utility Maximization: Algorithm, Competitive Analysis, and Applications
We consider an online version of the well-studied network utility maximi...
research
∙
05/18/2020
Delay-Aware Scheduling over mmWave/Sub-6 Dual Interfaces: A Reinforcement Learning Approach
We consider a transmitter with mmWave/sub6 dual interfaces. Due to the i...
research
∙
04/22/2020
Optimal Online Algorithms for One-Way Trading and Online Knapsack Problems: A Unified Competitive Analysis
We study two canonical online optimization problems under capacity/budge...
research
∙
03/15/2020
Night-time Semantic Segmentation with a Large Real Dataset
Although huge progress has been made on semantic segmentation in recent ...
research
∙
02/02/2019
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
In this paper, we present a generative retrieval method for sponsored se...
research
∙
05/05/2017
Deep Speaker: an End-to-End Neural Speaker Embedding System
We present Deep Speaker, a neural speaker embedding system that maps utt...
research
∙
07/21/2016
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering
While question answering (QA) with neural network, i.e. neural QA, has a...
research
∙
06/14/2016
