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09/21/2023
Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations
The recommendation of appropriate development pathways, also known as ec...
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08/18/2023
Compensating Removed Frequency Components: Thwarting Voice Spectrum Reduction Attacks
Automatic speech recognition (ASR) provides diverse audio-to-text servic...
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07/21/2023
Exploring Security Commits in Python
Python has become the most popular programming language as it is friendl...
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07/17/2023
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
Liver tumor segmentation and classification are important tasks in compu...
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06/05/2023
Asymmetric Patch Sampling for Contrastive Learning
Asymmetric appearance between positive pair effectively reduces the risk...
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02/07/2022
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events
Spiking silicon cochlea sensors encode sound as an asynchronous stream o...
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08/07/2021
PatchRNN: A Deep Learning-Based System for Security Patch Identification
With the increasing usage of open-source software (OSS) components, vuln...
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03/19/2021
Transfer Learning of Memory Kernels in Coarse-grained Modeling
The present work concerns the transferability of coarse-grained (CG) mod...
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03/18/2021
Data-driven Coarse-grained Modeling of Non-equilibrium Systems
Modeling a high-dimensional Hamiltonian system in reduced dimensions wit...
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03/13/2021
A Simulation Study Evaluating Phase I Clinical Trial Designs for Combinational Agents
Nowadays, more and more clinical trials choose combinational agents as t...
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09/01/2020
When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition
Automatic speech recognition (ASR) systems have been widely deployed in ...
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07/24/2020
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks
Human collaborators can effectively communicate with their partners to f...
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05/09/2019
A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables
Finite mixture model is an important branch of clustering methods and ca...
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05/06/2019
Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables
Clustering is an essential technique for discovering patterns in data. T...
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04/17/2019
In Search of a Key Value Store with High Performance and High Availability
In recent year, the write-heavy applications is more and more prevalent....
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03/13/2019
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
One of the main challenges of advancing task-oriented learning such as v...
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05/15/2018
NEURON: Query Optimization Meets Natural Language Processing For Augmenting Database Education
Relational database management system (RDBMS) is a major undergraduate c...
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05/15/2018
NEURON: An Interactive Natural Language Interface for Understanding Query Execution Plans in RDBMS
Natural language interfaces for relational databases have been explored ...
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02/19/2018
Differentially Private Generative Adversarial Network
Generative Adversarial Network (GAN) and its variants have recently attr...
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10/20/2017
Understanding and Auto-Adjusting Performance-Related Configurations
Modern software systems are often equipped with hundreds to thousands of...
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01/04/2017
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition
Complex activity recognition is challenging due to the inherent uncertai...
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11/08/2016
Multispectral Deep Neural Networks for Pedestrian Detection
Multispectral pedestrian detection is essential for around-the-clock app...
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02/04/2016
