
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance
Sleep is critical to human function, mediating factors like memory, mood...
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An Efficient PessimisticOptimistic Algorithm for Constrained Linear Bandits
This paper considers stochastic linear bandits with general constraints....
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Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Differential evolution is one of the most prestigious populationbased s...
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SplitSR: An EndtoEnd Approach to SuperResolution on Mobile Devices
Superresolution (SR) is a coveted image processing technique for mobile...
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Generalized Image Reconstruction over TAlgebra
Principal Component Analysis (PCA) is well known for its capability of d...
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Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID19 Detection with Chest CT Scans
The COVID19 pandemic has spread globally for several months. Because it...
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An Unsupervised Learning Method with Convolutional AutoEncoder for Vessel Trajectory Similarity Computation
To achieve reliable mining results for massive vessel trajectories, one ...
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OAAE: Adversarial Autoencoders for Novelty Detection in Multimodal Normality Case via Orthogonalized Latent Space
Novelty detection using deep generative models such as autoencoder, gene...
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A hidden antijamming method based on deep reinforcement learning
Most of the current antijamming algorithms for wireless communications ...
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Beyond Scaling: Calculable Error Bounds of the PowerofTwoChoices MeanField Model in HeavyTraffic
This paper provides a recipe for deriving calculable approximation error...
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AIDE: Annotationefficient deep learning for automatic medical image segmentation
Accurate image segmentation is crucial for medical imaging applications....
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AGNet: Weighing Black Holes with Machine Learning
Supermassive black holes (SMBHs) are ubiquitously found at the centers o...
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Multitask MR Imaging with Iterative Teacher Forcing and Reweighted Deep Learning
Noises, artifacts, and loss of information caused by the magnetic resona...
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AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the...
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Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
With more regulations tackling users' privacysensitive data protection ...
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Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility
The demand for seamless Internet access under extreme user mobility, suc...
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AbdomenCT1K: Is Abdominal Organ Segmentation A Solved Problem?
With the unprecedented developments in deep learning, automatic segmenta...
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Advancing NonContact Vital Sign Measurement using Synthetic Avatars
Noncontact physiological measurement has the potential to provide lowc...
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POND: PessimisticOptimistic oNline Dispatch
This paper considers constrained online dispatch with unknown arrival, r...
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MetaPhys: Unsupervised FewShot Adaptation for NonContact Physiological Measurement
There are large individual differences in physiological processes, makin...
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ENAS4D: Efficient Multistage CNN Architecture Search for Dynamic Inference
Dynamic inference is a feasible way to reduce the computational cost of ...
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A Variational Approach to Unsupervised Sentiment Analysis
In this paper, we propose a variational approach to unsupervised sentime...
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2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
To address the problem of training on small datasets for action recognit...
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Graph Convolutional Networks for Graphs Containing Missing Features
Graph Convolutional Network (GCN) has experienced great success in graph...
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Making Adversarial Examples More Transferable and Indistinguishable
Many previous methods generate adversarial examples based on the fast gr...
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Deep Lowrank Prior in Dynamic MR Imaging
The deep learning methods have achieved attractive results in dynamic MR...
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An Opportunistic Bandit Approach for User Interface Experimentation
Facing growing competition from online rivals, the retail industry is in...
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Contextual Bandits with SideObservations
We investigate contextual bandits in the presence of sideobservations a...
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MultiTask Temporal Shift Attention Networks for OnDevice Contactless Vitals Measurement
Telehealth and remote health monitoring have become increasingly importa...
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M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pretraining
This paper presents a Multitask Multilingual Multimodal Pretrained mode...
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BWCNN: Blink to Word, a RealTime Convolutional Neural Network Approach
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative d...
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Towards the Infeasibility of Membership Inference on Deep Models
Recent studies propose membership inference (MI) attacks on deep models....
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MMFashion: An OpenSource Toolbox for Visual Fashion Analysis
We present MMFashion, a comprehensive, flexible and userfriendly opens...
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A Case Study of Spacetime Performance Comparison of Wind Turbines on a Wind Farm
This paper presents an academiaindustry joint case study concerning an ...
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Spacetime Performance Comparison of Wind Turbines on a Wind Farm
This paper presents an academiaindustry joint study concerning an effec...
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On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
Implicit discourse relation classification is one of the most difficult ...
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Adaptive radial basis function generated finitedifference (RBFFD) on nonuniform nodes using p—refinement
Radial basis functionsgenerated finite difference methods (RBFFDs) hav...
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Design admissibility and de la Garza phenomenon in multifactor experiments
The determination of an optimal design for a given regression problem is...
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Learning Diverse Fashion Collocation by Neural Graph Filtering
Fashion recommendation systems are highly desired by customers to find v...
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Revisiting the distributions of the physical characteristics of Jupiter's irregular moons
As the identified number of Jupiter's moons has skyrocketed to 79, some ...
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Neural Subgraph Isomorphism Counting
In this paper, we study a new graph learning problem: learning to count ...
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An Unsupervised Deep Learning Method for Parallel Cardiac MRI via TimeInterleaved Sampling
Deep learning has achieved good success in cardiac magnetic resonance im...
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Symplectic RungeKutta discretization of a regularized forwardbackward sweep iteration for optimal control problems
Li, Chen, Tai E. (J. Machine Learning Research, 2018) have proposed ...
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Security of Deep Learning Methodologies: Challenges and Opportunities
Despite the plethora of studies about security vulnerabilities and defen...
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Enabling realtime multimessenger astrophysics discoveries with deep learning
Multimessenger astrophysics is a fastgrowing, interdisciplinary field ...
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SimilarityDT: Kernel Similarity Embedding for Dynamic Texture Synthesis
Dynamic texture (DT) exhibits statistical stationarity in the spatial do...
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IPO: Interiorpoint Policy Optimization under Constraints
In this paper, we study reinforcement learning (RL) algorithms to solve ...
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Largescale Mobile App Identification Using Deep Learning
Many network services and tools (e.g. network monitors, malwaredetectio...
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VACL: VarianceAware CrossLayer Regularization for Pruning Deep Residual Networks
Improving weight sparsity is a common strategy for producing lightweigh...
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Cross Domain Image Matching in Presence of Outliers
Cross domain image matching between image collections from different sou...
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Xin Liu
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Professor pf Computer Science Department at University of California, Davis