
ErrorCompensatedX: error compensation for variance reduced algorithms
Communication cost is one major bottleneck for the scalability for distr...
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NeighborVote: Improving Monocular 3D Object Detection through Neighbor Distance Voting
As cameras are increasingly deployed in new application domains such as ...
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InsectComputer 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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Detecting Adversarial Examples with Bayesian Neural Network
In this paper, we propose a new framework to detect adversarial examples...
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Reasoning about the garden of forking paths
Lazy evaluation is a powerful tool for functional programmers. It enable...
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Datadriven computation methods for quasistationary distribution and sensitivity analysis
This paper studies computational methods for quasistationary distributi...
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A deep learning method for solving FokkerPlanck equations
The time evolution of the probability distribution of a stochastic diffe...
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A deep learning based interactive sketching system for fashion images design
In this work, we propose an interactive system to design diverse highqu...
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Linear Convergent Decentralized Optimization with Compression
Communication compression has been extensively adopted to speed up large...
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Towards Better Opioid Antagonists Using Deep Reinforcement Learning
Naloxone, an opioid antagonist, has been widely used to save lives from ...
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A FractionalOrder Normalized BoucWen Model for Piezoelectric Hysteresis Nonlinearity
This paper presents a new fractionalorder normalized BoucWen (BW) (FON...
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Stationary distributions of persistent ecological systems
We analyze ecological systems that are influenced by random environmenta...
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Numerical computations of geometric ergodicity for stochastic dynamics
A probabilistic approach of computing geometric rate of convergence of s...
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Using coupling methods to estimate sample quality for stochastic differential equations
A probabilistic approach for estimating sample qualities for stochastic ...
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Embracing a mechanized formalization gap
If a code base is so big and complicated that complete mechanical verifi...
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A Double Residual Compression Algorithm for Efficient Distributed Learning
Largescale machine learning models are often trained by parallel stocha...
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Improve variational autoEncoder with auxiliary softmax multiclassifier
As a generalpurpose generative model architecture, VAE has been widely ...
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On linear convergence of two decentralized algorithms
Decentralized algorithms solve multiagent problems over a connected net...
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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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Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding
Recent studies have demonstrated the vulnerability of deep convolutional...
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Image SuperResolution Using VDSRResNeXt and SRCGAN
Over the past decade, many Super Resolution techniques have been develop...
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AdvBNN: 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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Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision
In this paper, a novel deeplearning based framework is proposed to infe...
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Ready, Set, Verify! Applying hstocoq to realworld Haskell code
Good tools can bring mechanical verification to programs written in main...
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Deep Descriptor Transforming for Image CoLocalization
Reusable model design becomes desirable with the rapid expansion of mach...
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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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Attend in groups: a weaklysupervised deep learning framework for learning from web data
Largescale datasets have driven the rapid development of deep neural ne...
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Image Colocalization by Mimicking a Good Detector's Confidence Score Distribution
Given a set of images containing objects from the same category, the tas...
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Mining Midlevel Visual Patterns with Deep CNN Activations
The purpose of midlevel visual element discovery is to find clusters of...
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Midlevel Deep Pattern Mining
Midlevel visual element discovery aims to find clusters of image patche...
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Contextual Hypergraph Modelling for Salient Object Detection
Salient object detection aims to locate objects that capture human atten...
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Characterness: An Indicator of Text in the Wild
Text in an image provides vital information for interpreting its content...
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Yao Li
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