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08/15/2023
A Review of Adversarial Attacks in Computer Vision
Deep neural networks have been widely used in various downstream tasks, ...
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06/29/2023
SaaFormer: Spectral-spatial Axial Aggregation Transformer for Hyperspectral Image Classification
Hyperspectral images (HSI) captured from earth observing satellites and ...
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06/28/2023
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
Deep neural networks (DNNs) have a wide range of applications in the fie...
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06/02/2023
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
LiDAR and Radar are two complementary sensing approaches in that LiDAR s...
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05/30/2023
CTSN: Predicting Cloth Deformation for Skeleton-based Characters with a Two-stream Skinning Network
We present a novel learning method to predict the cloth deformation for ...
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02/19/2023
Stationary Point Losses for Robust Model
The inability to guarantee robustness is one of the major obstacles to t...
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02/04/2023
TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching
Recently, it has become popular to deploy sensors such as LiDARs on the ...
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11/28/2022
Cell Biomechanical Modeling Based on Membrane Theory with Considering Speed Effect of Microinjection
As an effective method to deliver external materials into biological cel...
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11/21/2022
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
Large-scale Transformer models bring significant improvements for variou...
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11/10/2022
Artificial Neural Network Solver for Time-Dependent Fokker-Planck Equations
Stochastic differential equations play an important role in various appl...
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11/09/2022
Sensitivity analysis of quasi-stationary-distributions (QSDs)
This paper studies the sensitivity analysis of mass-action systems again...
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10/29/2022
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images
Automated region of interest detection in histopathological image analys...
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10/22/2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Adversarial Examples Detection (AED) is a crucial defense technique agai...
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10/02/2022
Supervised Parameter Estimation of Neuron Populations from Multiple Firing Events
The firing dynamics of biological neurons in mathematical models is ofte...
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07/11/2022
Program Adverbs and Tlön Embeddings
Free monads (and their variants) have become a popular general-purpose t...
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07/09/2022
Serving Hybrid-Cloud SQL Interactive Queries at Twitter
The demand for data analytics has been consistently increasing in the pa...
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05/18/2022
Improving Pedestrian Priority via Grouping and Virtual Lanes
The shared space design is applied in urban streets to support barrier-f...
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04/24/2022
Taming Hybrid-Cloud Fast and Scalable Graph Analytics at Twitter
We have witnessed a boosted demand for graph analytics at Twitter in rec...
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04/12/2022
Forecasting SQL Query Cost at Twitter
With the advent of the Big Data era, it is usually computationally expen...
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01/01/2022
On the improved conditions for some primal-dual algorithms
The convex minimization of f(𝐱)+g(𝐱)+h(𝐀𝐱) over ℝ^n with differentiable ...
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12/13/2021
N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks
We present a novel mesh-based learning approach (N-Cloth) for plausible ...
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11/18/2021
A Review of Adversarial Attack and Defense for Classification Methods
Despite the efficiency and scalability of machine learning systems, rece...
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08/10/2021
Decentralized Composite Optimization with Compression
Decentralized optimization and communication compression have exhibited ...
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08/04/2021
ErrorCompensatedX: error compensation for variance reduced algorithms
Communication cost is one major bottleneck for the scalability for distr...
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07/06/2021
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting
As cameras are increasingly deployed in new application domains such as ...
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05/23/2021
Insect-Computer Hybrid System for Autonomous Search and Rescue Mission
There is still a long way to go before artificial mini robots are really...
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05/18/2021
Detecting Adversarial Examples with Bayesian Neural Network
In this paper, we propose a new framework to detect adversarial examples...
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03/12/2021
Reasoning about the garden of forking paths
Lazy evaluation is a powerful tool for functional programmers. It enable...
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03/02/2021
Data-driven computation methods for quasi-stationary distribution and sensitivity analysis
This paper studies computational methods for quasi-stationary distributi...
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12/19/2020
A deep learning method for solving Fokker-Planck equations
The time evolution of the probability distribution of a stochastic diffe...
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10/09/2020
A deep learning based interactive sketching system for fashion images design
In this work, we propose an interactive system to design diverse high-qu...
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07/01/2020
Linear Convergent Decentralized Optimization with Compression
Communication compression has been extensively adopted to speed up large...
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03/26/2020
Towards Better Opioid Antagonists Using Deep Reinforcement Learning
Naloxone, an opioid antagonist, has been widely used to save lives from ...
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03/10/2020
A Fractional-Order Normalized Bouc-Wen Model for Piezoelectric Hysteresis Nonlinearity
This paper presents a new fractional-order normalized Bouc-Wen (BW) (FON...
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03/09/2020
Stationary distributions of persistent ecological systems
We analyze ecological systems that are influenced by random environmenta...
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01/07/2020
Numerical computations of geometric ergodicity for stochastic dynamics
A probabilistic approach of computing geometric rate of convergence of s...
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12/21/2019
Using coupling methods to estimate sample quality for stochastic differential equations
A probabilistic approach for estimating sample qualities for stochastic ...
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10/25/2019
Embracing a mechanized formalization gap
If a code base is so big and complicated that complete mechanical verifi...
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10/16/2019
A Double Residual Compression Algorithm for Efficient Distributed Learning
Large-scale machine learning models are often trained by parallel stocha...
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08/17/2019
Improve variational autoEncoder with auxiliary softmax multiclassifier
As a general-purpose generative model architecture, VAE has been widely ...
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06/17/2019
On linear convergence of two decentralized algorithms
Decentralized algorithms solve multi-agent problems over a connected net...
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11/29/2018
From C to Interaction Trees: Specifying, Verifying, and Testing a Networked Server
We present the first formal verification of a networked server implement...
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11/19/2018
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding
Recent studies have demonstrated the vulnerability of deep convolutional...
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10/10/2018
Image Super-Resolution Using VDSR-ResNeXt and SRCGAN
Over the past decade, many Super Resolution techniques have been develop...
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10/01/2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
We present a new algorithm to train a robust neural network against adve...
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09/21/2018
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision
In this paper, a novel deep-learning based framework is proposed to infe...
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03/19/2018
Ready, Set, Verify! Applying hs-to-coq to real-world Haskell code
Good tools can bring mechanical verification to programs written in main...
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05/08/2017
Deep Descriptor Transforming for Image Co-Localization
Reusable model design becomes desirable with the rapid expansion of mach...
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11/30/2016
Sequential Person Recognition in Photo Albums with a Recurrent Network
Recognizing the identities of people in everyday photos is still a very ...
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11/30/2016