
Adaptive Gradient Method with Resilience and Momentum
Several variants of stochastic gradient descent (SGD) have been proposed...
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Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things
Nowadays, Deep Learning as a service can be deployed in Internet of Thin...
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Residual Feature Distillation Network for Lightweight Image SuperResolution
Recent advances in single image superresolution (SISR) explored the pow...
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AIM 2020 Challenge on Efficient SuperResolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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Supporting the ProblemSolving Loop: Designing Highly Interactive Optimisation Systems
Efficient optimisation algorithms have become important tools for findin...
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Adaptive Neural NetworkBased Approximation to Accelerate Eulerian Fluid Simulation
The Eulerian fluid simulation is an important HPC application. The neura...
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Poet: Productoriented Video Captioner for Ecommerce
In ecommerce, a growing number of usergenerated videos are used for pr...
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Three Numerical Eigensolvers for 3D Cavity Resonators Filled With Anisotropic and Nonconductive Media
This paper mainly investigates the classic resonant cavity problem with ...
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Deep Convolutional Neural Networkbased Bernoulli Heatmap for Head Pose Estimation
Head pose estimation is a crucial problem for many tasks, such as driver...
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Triaging moderate COVID19 and other viral pneumonias from routine blood tests
The COVID19 is sweeping the world with deadly consequences. Its contagi...
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Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error
We study the L_1regularized maximum likelihood estimator/estimation (ML...
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Nanotechnologyinspired Information Processing Systems of the Future
Nanoscale semiconductor technology has been a key enabler of the computi...
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Semantics of the Unwritten
The semantics of a text is manifested not only by what is read, but also...
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Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing
With the booming of next generation sequencing technology and its implem...
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InterBERT: VisionandLanguage Interaction for Multimodal Pretraining
Multimodal pretraining for learning highlevel multimodal representati...
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FLAME: A SelfAdaptive Autolabeling System for Heterogeneous Mobile Processors
How to accurately and efficiently label data on a mobile device is criti...
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CTM: Collaborative Temporal Modeling for Action Recognition
With the rapid development of digital multimedia, video understanding ha...
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iqiyi Submission to ActivityNet Challenge 2019 Kinetics700 challenge: Hierarchical Groupwise Attention
In this report, the method for the iqiyi submission to the task of Activ...
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Balancing truncation and roundoff errors in practical FEM: onedimensional analysis
In finite element methods (FEMs), the accuracy of the solution cannot in...
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Model Embedded DRL for Intelligent Greenhouse Control
Greenhouse environment is the key to influence crops production. However...
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Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning
At high latitudes, many cities adopt a centralized heating system to imp...
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Learning to Predict More Accurate Text Instances for Scene Text Detection
At present, multioriented text detection methods based on deep neural n...
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Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction
Charge prediction, determining charges for criminal cases by analyzing t...
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NormExplicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
Vector quantization (VQ) techniques are widely used in similarity search...
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Understanding and Improving Proximity Graph based Maximum Inner Product Search
The innerproduct navigable small world graph (ipNSW) represents the st...
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AI for Earth: Rainforest Conservation by Acoustic Surveillance
Saving rainforests is a key to halting adverse climate changes. In this ...
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SinglePath Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Can we reduce the search cost of Neural Architecture Search (NAS) from d...
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Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2
Training deep learning models on mobile devices recently becomes possibl...
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Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices
Training deep learning models on mobile devices recently becomes possibl...
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SinglePath NAS: DeviceAware Efficient ConvNet Design
Can we automatically design a Convolutional Network (ConvNet) with the h...
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SinglePath NAS: Designing HardwareEfficient ConvNets in less than 4 Hours
Can we automatically design a Convolutional Network (ConvNet) with the h...
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MultiBlock Grid deformation Method in 3D
Multiblock grids provide the computational efficiency of structured gri...
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NormRange Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS)
Recently, locality sensitive hashing (LSH) was shown to be effective for...
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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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On the Acceleration of LBFGS with SecondOrder Information and Stochastic Batches
This paper proposes a framework of LBFGS based on the (approximate) sec...
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A Spatial and Temporal Features Mixture Model with Body Parts for Videobased Person ReIdentification
The videobased person reidentification is to recognize a person under ...
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A New High Performance and Scalable SVD algorithm on Distributed Memory Systems
This paper introduces a high performance implementation of ZoloSVD algo...
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Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results
Fuel cells are a promising power source for future data centers, offerin...
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On sound insulation of pyramidal lattice sandwich structure
Pyramidal lattice sandwich structure (PLSS) exhibits high stiffness and ...
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Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN
With the rapid growth of knowledge bases (KBs), question answering over ...
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MLEinduced Likelihood for Markov Random Fields
Due to the intractable partition function, the exact likelihood function...
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Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
In this paper, we study and analyze the minibatch version of StochAstic...
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SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
In this paper, we propose a StochAstic Recursive grAdient algoritHm (SAR...
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An efficient hybrid tridiagonal divideandconquer algorithm on distributed memory architectures
In this paper, an efficient divideandconquer (DC) algorithm is propose...
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Topic Aware Neural Response Generation
We consider incorporating topic information into the sequencetosequenc...
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MiniBatch SemiStochastic Gradient Descent in the Proximal Setting
We propose mS2GD: a method incorporating a minibatching scheme for impr...
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mS2GD: MiniBatch SemiStochastic Gradient Descent in the Proximal Setting
We propose a minibatching scheme for improving the theoretical complexi...
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Defuzzify firstly or finally: Dose it matter in fuzzy DEMATEL under uncertain environment?
DecisionMaking Trial and Evaluation Laboratory (DEMATEL) method is wide...
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A brief network analysis of Artificial Intelligence publication
In this paper, we present an illustration to the history of Artificial I...
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Jie Liu
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Moore/Sloan Data Science Postdoctoral Fellow in the worldrenowned Genome Sciences Department and eScience Institute at the University of Washington