
Continentalscale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges
A large fraction of major waterways have dams influencing streamflow, wh...
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Infections Forecasting and Intervention Effect Evaluation for COVID19 via a DataDriven Markov Process and Heterogeneous Simulation
The Coronavirus Disease 2019 (COVID19) pandemic has caused tremendous a...
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Lowcost and highperformance data augmentation for deeplearningbased skin lesion classification
Although deep convolutional neural networks (DCNNs) have achieved signif...
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CycleSegNet: Object Cosegmentation with Cycle Refinement and Region Correspondence
Image cosegmentation is an active computer vision task which aims to se...
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Compositional Prototype Network with Multiview Comparision for FewShot Point Cloud Semantic Segmentation
Point cloud segmentation is a fundamental visual understanding task in 3...
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To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission CoDesign
Federated learning (FL) is a new paradigm for largescale learning tasks...
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ManualLabel Free 3D Detection via An OpenSource Simulator
LiDAR based 3D object detectors typically need a large amount of detaile...
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CAN: Revisiting Feature CoAction for ClickThrough Rate Prediction
Inspired by the success of deep learning, recent industrial ClickThroug...
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Matched Queues with Matching Batch Pair (m, n)
In this paper, we discuss an interesting but challenging bilateral stoch...
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An integrative smoothed particle hydrodynamics framework for modeling cardiac function
Mathematical modeling of cardiac function can provide augmented simulati...
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Dynamic Dispatching for LargeScale Heterogeneous Fleet via Multiagent Deep Reinforcement Learning
Dynamic dispatching is one of the core problems for operation optimizati...
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Memorybased Jitter: Improving Visual Recognition on Longtailed Data with Diversity In Memory
This paper considers deep visual recognition on longtailed data, with t...
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Open Set Recognition with Conditional Probabilistic Generative Models
Deep neural networks have made breakthroughs in a wide range of visual u...
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Geometric AllWay Boolean Tensor Decomposition
Boolean tensor has been broadly utilized in representing high dimensiona...
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Denoising individual bias for a fairer binary submatrix detection
Low rank representation of binary matrix is powerful in disentangling sp...
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Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
In this extended abstract, we propose a new technique for query scheduli...
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Supervised clustering of high dimensional data using regularized mixture modeling
Identifying relationships between molecular variations and their clinica...
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Weightdependent Gates for Network Pruning
In this paper, we propose a simple and effective network pruning framewo...
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Learning Disentangled Representations of Video with Missing Data
Missing data poses significant challenges while learning representations...
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Targeted Maximum Likelihood Estimation of Communitybased Causal Effect of CommunityLevel Stochastic Interventions
Unlike the commonly used parametric regression models such as mixed mode...
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tmleCommunity: A R Package Implementing Target Maximum Likelihood Estimation for Communitylevel Data
Over the past years, many applications aim to assess the causal effect o...
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Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors
Model usage is the central challenge of modelbased reinforcement learni...
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A New Algorithm using Componentwise Adaptive Trimming For Robust Mixture Regression
Mixture regression provides a statistical model for teasing out latent h...
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Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
As a comprehensive indicator of mathematical thinking and intelligence, ...
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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Recent progress in deep learning is essentially based on a "big data for...
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Neural encoding and interpretation for highlevel visual cortices based on fMRI using image caption features
On basis of functional magnetic resonance imaging (fMRI), researchers ar...
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CRNet: CrossReference Networks for FewShot Segmentation
Over the past few years, stateoftheart image segmentation algorithms ...
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Conditional Gaussian Distribution Learning for Open Set Recognition
Deep neural networks have achieved stateoftheart performance in a wid...
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DeepEMD: FewShot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers
In this paper, we address the fewshot classification task from a new pe...
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BigGANbased Bayesian reconstruction of natural images from human brain activity
In the visual decoding domain, visually reconstructing presented images ...
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Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
In autonomous driving, monocular sequences contain lots of information. ...
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CrossSpectrum DualSubspace Pairing for RGBinfrared CrossModality Person ReIdentification
Due to its potential wide applications in video surveillance and other c...
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Circle Loss: A Unified Perspective of Pair Similarity Optimization
This paper provides a pair similarity optimization viewpoint on deep fea...
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Collaborative Inference for Efficient Remote Monitoring
While current machine learning models have impressive performance over a...
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Value of Information Analysis via Active Learning and Knowledge Sharing in ErrorControlled Adaptive Kriging
Large uncertainties in many phenomena of interest have challenged the re...
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Creating Efficient Blockchains for the Internet of Things by Coordinated SatelliteTerrestrial Networks
Blockchain has emerged as a promising technology that can guarantee data...
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BlockStructured DoubleEnded Queues and Bilateral QBD Processes
This paper studies a blockstructured doubleended queue, whose block st...
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Consistency of Binary Segmentation For Multiple ChangePoints Estimation With Functional Data
For sequentially observed functional data exhibiting multiple change poi...
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Learning Perceptual Inference by Contrasting
"Thinking in pictures," [1] i.e., spatialtemporal reasoning, effortless...
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A multiresolution SPH method for fluidstructure interactions
In this paper, we present a multiresolution smoothed particle hydrodyna...
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Vehicle Reidentification with Viewpointaware Metric Learning
This paper considers vehicle reidentification (reID) problem. The extr...
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EPOSIT: An Absolute Pose Estimation Method for Pinhole and FishEye Cameras
This paper presents a generic 6DOF camera pose estimation method, which ...
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ReID Driven Localization Refinement for Person Search
Person search aims at localizing and identifying a query person from a g...
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Determining the Scale of Impact from DenialofService Attacks in Real Time Using Twitter
Denial of Service (DoS) attacks are common in online and mobile service...
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MEBF: a fast and efficient Boolean matrix factorization method
Boolean matrix has been used to represent digital information in many fi...
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Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation
Boolean matrix has been used to represent digital information in many fi...
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Effective and efficient ROIwise visual encoding using an endtoend CNN regression model and selective optimization
Recently, visual encoding based on functional magnetic resonance imaging...
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Learning Safe Unlabeled MultiRobot Planning with Motion Constraints
In this paper, we present a learning approach to goal assignment and tra...
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Accelerating Concurrent Heap on GPUs
Priority queue, often implemented as a heap, is an abstract data type th...
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Distributed Optimization for OverParameterized Learning
Distributed optimization often consists of two updating phases: local op...
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Chi Zhang
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Northeastern University
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University of Minnesota
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Megvii Technology Limited
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Purdue University
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Beihang University
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Brandeis University
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IEEE
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Indiana University
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University of Maryland, Baltimore County