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05/29/2023
Contextual Object Detection with Multimodal Large Language Models
Recent Multimodal Large Language Models (MLLMs) are remarkable in vision...
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09/21/2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
In this paper, we propose projected gradient descent (PGD) algorithms fo...
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09/07/2022
TickTock: Detecting Microphone Status in Laptops Leveraging Electromagnetic Leakage of Clock Signals
We are witnessing a heightened surge in remote privacy attacks on laptop...
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04/13/2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
Since 2016, we have witnessed the tremendous growth of artificial intell...
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03/18/2022
Generative Principal Component Analysis
In this paper, we study the problem of principal component analysis with...
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09/28/2021
Touchtone leakage attacks via smartphone sensors: mitigation without hardware modification
Smartphone motion sensors provide a concealed mechanism for eavesdroppin...
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08/08/2021
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors
In 1-bit compressive sensing, each measurement is quantized to a single ...
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08/06/2021
TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection
Rotating object detection has wide applications in aerial photographs, r...
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07/10/2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
A large labeled dataset is a key to the success of supervised deep learn...
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06/09/2021
FastZIP: Faster and More Secure Zero-Interaction Pairing
With the advent of the Internet of Things (IoT), establishing a secure c...
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01/19/2021
Disentangled Recurrent Wasserstein Autoencoder
Learning disentangled representations leads to interpretable models and ...
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11/01/2020
Heuristic-based Mining of Service Behavioral Models from Interaction Traces
Software behavioral models have proven useful for emulating and testing ...
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05/23/2020
p-order Tensor Products with Invertible Linear Transforms
This paper studies the issues about tensors. Three typical kinds of tens...
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04/06/2020
LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data
The resolution of GPS measurements, especially in urban areas, is insuff...
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03/07/2020
Scalable Approximate Inference and Some Applications
Approximate inference in probability models is a fundamental task in mac...
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03/01/2020
Stein Variational Inference for Discrete Distributions
Gradient-based approximate inference methods, such as Stein variational ...
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02/10/2020
SDSN@RT: a middleware environment for single-instance multi-tenant cloud applications
With the Single-Instance Multi-Tenancy (SIMT) model for composite Softwa...
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02/10/2020
FM4SN: A Feature-Oriented Approach to Tenant-Driven Customization of Multi-Tenant Service Networks
In a multi-tenant service network, multiple virtual service networks (VS...
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09/02/2019
CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data
The electronic calendar is a valuable resource nowadays for managing our...
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07/04/2019
LINS: A Lidar-Inerital State Estimator for Robust and Fast Navigation
Robust and fast ego-motion estimation is a critical problem for autonomo...
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04/02/2019
SurFi: Detecting Surveillance Camera Looping Attacks with Wi-Fi Channel State Information (Extended Version)
The proliferation of surveillance cameras has greatly improved the physi...
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11/30/2018
ContextServ: Towards Model-Driven Development of Context-AwareWeb Services
In the era of Web of Things and Services, Context-aware Web Services (CA...
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11/15/2018
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior
Mobile phones can record individual's daily behavioral data as a time-se...
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10/05/2018
Deep Probabilistic Video Compression
We propose a variational inference approach to deep probabilistic video ...
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06/07/2018
Stein Variational Gradient Descent Without Gradient
Stein variational gradient decent (SVGD) has been shown to be a powerful...
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01/19/2018
A hybrid architecture for astronomical computing
With many large science equipment constructing and putting into use, ast...
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11/18/2017
Identifying Recent Behavioral Data Length in Mobile Phone Log
Mobile phone log data (e.g., phone call log) is not static as it is prog...
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10/12/2017
An Improved Naive Bayes Classifier-based Noise Detection Technique for Classifying User Phone Call Behavior
The presence of noisy instances in mobile phone data is a fundamental is...
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04/18/2017
Stein Variational Adaptive Importance Sampling
We propose a novel adaptive importance sampling algorithm which incorpor...
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07/04/2016
