DeepAI

San Diego State University

∙ San Diego , United States ∙ 0 followers

San Diego State University provides transformative experiences for students in research, international experiences, sustainability and entrepreneurship initiatives, and a broad range of student life and leadership opportunities.

Featured Researchers

Kai Li
80 publications
Jun Chen
77 publications
Zhenyu Zhang
38 publications
Sheng Huang
17 publications
Xiaonan Luo
12 publications
Muhammad Waseem
11 publications
Xiaobai Liu
9 publications
Youngjoon Hong
9 publications
Hoa T. Vu
7 publications
Junfei Xie
6 publications
Pengcheng Wu
6 publications

∙ 05/23/2022

Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation

Multi-Label Image Classification (MLIC) approaches usually exploit label...

Jiazhi Xu, et al. ∙

∙ 08/25/2018

Neural Task Planning with And-Or Graph Representations

This paper focuses on semantic task planning, i.e., predicting a sequenc...

Tianshui Chen, et al. ∙

∙ 06/24/2022

zPROBE: Zero Peek Robustness Checks for Federated Learning

Privacy-preserving federated learning allows multiple users to jointly t...

Zahra Ghodsi, et al. ∙

∙ 10/27/2022

Bootstrapped Block Lanczos for large-dimension eigenvalue problems

The Lanczos algorithm has proven itself to be a valuable matrix eigensol...

Ryan M. Zbikowski, et al. ∙

∙ 03/31/2022

Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild

Automatic image-based pavement distress detection and recognition are vi...

Sheng Huang, et al. ∙

∙ 04/01/2022

Detecting changes in dynamic social networks using multiply-labeled movement data

The social structure of an animal population can often influence movemen...

Zaineb L. Boulil, et al. ∙

∙ 04/12/2022

AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection

This paper proposes AdaTest, a novel adaptive test pattern generation fr...

Huili Chen, et al. ∙

∙ 05/23/2022

A Variational Bayesian Perspective on Massive MIMO Detection

Optimal data detection in massive multiple-input multiple-output (MIMO) ...

Duy H. N. Nguyen, et al. ∙

∙ 05/26/2022

On the Construction of New Toric Quantum Codes and Quantum Burst-Error Correcting Codes

A toric quantum error-correcting code construction procedure is presente...

Cibele Cristina Trinca, et al. ∙

∙ 08/19/2022

Revisiting Maximum Satisfiability and Related Problems in Data Streams

We revisit the MaxSAT problem in the data stream model. In this problem,...

Hoa T. Vu, et al. ∙

∙ 09/21/2022

PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification

Automatic pavement distress classification facilitates improving the eff...

Wenhao Tang, et al. ∙

∙ 02/18/2022

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors

Most existing multi-agent reinforcement learning (MARL) methods are limi...

Baoqian Wang, et al. ∙

∙ 10/30/2022

Computation of parabolic cylinder functions having complex argument

Numerical methods for the computation of the parabolic cylinder U(a,z) f...

T. M. Dunster, et al. ∙

∙ 11/25/2022

Towards Better Bounds for Finding Quasi-Identifiers

We revisit the problem of finding small ϵ-separation keys introduced by ...

Ryan Hildebrant, et al. ∙

∙ 12/04/2022

Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition

Pavement Distress Recognition (PDR) is an important step in pavement ins...

Rong Qin, et al. ∙

∙ 12/21/2022

Analysis of an Explicit, High-Order Semi-Lagrangian Nodal Method

A discrete analysis of the phase and dissipation errors of an explicit, ...

Gustaaf B. Jacobs, et al. ∙

∙ 12/24/2022

Efficiently Hardening SGX Enclaves against Memory Access Pattern Attacks via Dynamic Program Partitioning

Intel SGX is known to be vulnerable to a class of practical attacks expl...

Yuzhe Tang, et al. ∙

∙ 01/11/2023

Variational Bayes Inference for Data Detection in Cell-Free Massive MIMO

Cell-free massive MIMO is a promising technology for beyond-5G networks....

Ly V. Nguyen, et al. ∙

∙ 01/23/2023

DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics

Industrial Internet of Things (I-IoT) is a collaboration of devices, sen...

Onat Gungor, et al. ∙

∙ 12/29/2019

On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems

In recent years, coded distributed computing (CDC) has attracted signifi...

Baoqian Wang, et al. ∙

∙ 09/16/2017

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions

Tracking humans that are interacting with the other subjects or environm...

Lei Qin, et al. ∙

∙ 04/24/2018

Segmentation of Scanning Tunneling Microscopy Images Using Variational Methods and Empirical Wavelets

In the fields of nanoscience and nanotechnology, it is important to be a...

Bui Kevin, et al. ∙

∙ 09/11/2018

Threshold factor models for high-dimensional time series

We consider a threshold factor model for high-dimensional time series in...

Xialu Liu, et al. ∙

∙ 11/02/2018

Design Verifiably Correct Model Patterns to Facilitate Modeling Medical Best Practice Guidelines with Statecharts (Technical Report)

Improving patient care safety is an ultimate objective for medical cyber...

Chunhui Guo, et al. ∙

∙ 12/11/2018

Reproduction Report on "Learn to Pay Attention"

We have successfully implemented the "Learn to Pay Attention" model of a...

Levan Shugliashvili, et al. ∙

∙ 12/28/2018

Generalization of the Ball-Collision Algorithm

In this paper we generalize the Ball-Collision Algorithm by Bernstein, L...

Carmelo Interlando, et al. ∙

∙ 06/10/2019

Supervised and Semi-Supervised Learning for MIMO Blind Detection with Low-Resolution ADCs

The use of low-resolution analog-to-digital converters (ADCs) is conside...

Ly V. Nguyen, et al. ∙

∙ 07/22/2019

Factor Analysis for High-Dimensional Time Series with Change Point

We consider change-point latent factor models for high-dimensional time ...

Xialu Liu, et al. ∙

∙ 03/14/2022

RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing

Industrial Internet of Things (I-IoT) enables fully automated production...

Onat Gungor, et al. ∙

∙ 06/13/2020

Alternating direction implicit time integrations for finite difference acoustic wave propagation: Parallelization and convergence

This work studies the parallelization and empirical convergence of two f...

B. Otero, et al. ∙

∙ 07/12/2020

Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations

We consider the optimal experimental design problem for an uncertain Kur...

Youngjoon Hong, et al. ∙

∙ 02/16/2021

Maximum Coverage in the Data Stream Model: Parameterized and Generalized

We present algorithms for the Max-Cover and Max-Unique-Cover problems in...

Andrew McGregor, et al. ∙

∙ 09/10/2021

Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty

Collision avoidance is an essential concern for the autonomous operation...

Pengcheng Wu, et al. ∙

∙ 10/11/2021

Quantifying the Risk of Wildfire Ignition by Power Lines under Extreme Weather Conditions

This paper presents a surrogate model to quantify the risk of wildfire i...

Muhammad Waseem, et al. ∙

∙ 11/22/2021

On immersed boundary kernel functions: a constrained quadratic minimization perspective

In the immersed boundary (IB) approach to fluid-structure interaction mo...

Amneet Pal Singh Bhalla, et al. ∙

∙ 01/05/2022

Dynamic Coded Distributed Convolution for UAV-based Networked Airborne Computing

A single unmanned aerial vehicle (UAV) has limited computing resources a...

Bingnan Zhou, et al. ∙

∙ 10/17/2017

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

In this paper, we propose a pose grammar to tackle the problem of 3D hum...

Haoshu Fang, et al. ∙