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09/15/2023
Heteroscedastic sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
Sparse linear regression methods for high-dimensional data often assume ...
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08/23/2023
Space-time hybridizable discontinuous Galerkin method for advection-diffusion on deforming domains: The advection-dominated regime
We analyze a space-time hybridizable discontinuous Galerkin method to so...
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06/08/2023
Controllable Multi-Objective Re-ranking with Policy Hypernetworks
Multi-stage ranking pipelines have become widely used strategies in mode...
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02/22/2023
ALEGO: Towards Cost-Aware Architecture and Integration Co-Design for Chiplet-based Spatial Accelerators
Advanced packaging offers a new design paradigm in the post-Moore era, w...
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02/07/2023
Network-based Statistics Distinguish Anomic and Broca Aphasia
Aphasia is a speech-language impairment commonly caused by damage to the...
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01/10/2023
Integrated Sensing and Communication Signals Towards 5G-A and 6G: A Survey
Integrated sensing and communication (ISAC) has the advantages of effici...
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05/31/2022
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images
In recent years, 3D convolutional neural networks have become the domina...
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05/24/2022
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) refers to the problem of ...
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04/26/2022
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping
DeepFake face swapping presents a significant threat to online security ...
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04/22/2022
Cluster Detection Capabilities of the Average Nearest Neighbor Ratio and Ripley's K Function on Areal Data: an Empirical Assessment
Spatial clustering detection methods are widely used in many fields of r...
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04/14/2022
Exploring Dual Encoder Architectures for Question Answering
Dual encoders have been used for question-answering (QA) and information...
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02/24/2022
Fully Self-Supervised Learning for Semantic Segmentation
In this work, we present a fully self-supervised framework for semantic ...
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01/15/2022
Recursive Least Squares Advantage Actor-Critic Algorithms
As an important algorithm in deep reinforcement learning, advantage acto...
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01/13/2022
Recursive Least Squares for Training and Pruning Convolutional Neural Networks
Convolutional neural networks (CNNs) have succeeded in many practical ap...
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12/07/2021
Testing for Causal Influence using a Partial Coherence Statistic
In this paper we explore partial coherence as a tool for evaluating caus...
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11/04/2021
Map-Assisted Power Allocation and Constellation Design for mmWave WDM with OAM in Short-Range LOS Environment
Consider a system that integrates positioning and single-user millimeter...
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09/06/2021
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
Existing road pothole detection approaches can be classified as computer...
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08/12/2021
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
This paper presents a neural network for robust normal estimation on poi...
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08/09/2021
TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
Salient object detection is the pixel-level dense prediction task which ...
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02/27/2021
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms
Abstract syntax tree (AST) mapping algorithms are widely used to analyze...
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02/02/2021
Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym
Reinforcement learning (RL) is a popular machine learning paradigm for g...
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12/26/2020
Resilient Consensus Against Epidemic Malicious Attacks
This paper addresses novel consensus problems for multi-agent systems op...
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12/19/2020
Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation
Potholes are one of the most common forms of road damage, which can seve...
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11/06/2020
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services
For short distance traveling in crowded urban areas, bike share services...
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11/02/2020
The Improvement of the Air Quality due to Traffic Halting in Los Angeles and Potential Health Care Risk during the COVID-19 Outbreak
Background: On March 19, 2020, the government of California ordered all ...
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10/22/2020
Scalable Bottom-Up Hierarchical Clustering
Bottom-up algorithms such as the classic hierarchical agglomerative clus...
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10/12/2020
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks
We develop a privacy-preserving distributed projection least mean square...
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06/21/2020
Resilient Consensus Against Mobile Malicious Agents
This paper addresses novel consensus problems in the presence of adversa...
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05/17/2020
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator
Over the past decade, significant efforts have been made to improve the ...
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03/18/2020
Anchor Transform: Learning Sparse Representations of Discrete Objects
Learning continuous representations of discrete objects such as text, us...
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01/19/2020
Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification
Global optimization of expensive functions has important applications in...
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12/10/2019
Optimizing and accelerating space-time Ripley's K function based on Apache Spark for distributed spatiotemporal point pattern analysis
With increasing point of interest (POI) datasets available with fine-gra...
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10/29/2019
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation
Semantic road region segmentation is a high-level task, which paves the ...
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10/15/2019
Conversion Rate Prediction via Post-Click Behaviour Modeling
Effective and efficient recommendation is crucial for modern e-commerce ...
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07/27/2019
G-flocking: Flocking Model Optimization based on Genetic Framework
Flocking model has been widely used to control robotic swarm. However, w...
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04/21/2019
A Parallel Bitstream Generator for Stochastic Computing
Stochastic computing (SC) presents high error tolerance and low hardware...
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02/18/2019
PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation
Recently most popular tracking frameworks focus on 2D image sequences. T...
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10/12/2018
Topological Inference of Manifolds with Boundary
Given a set of data points sampled from some underlying space, there are...
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09/17/2018
Focal Loss in 3D Object Detection
3D object detection is still an open problem in autonomous driving scene...
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09/13/2018
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors
Tumor detection in biomedical imaging is a time-consuming process for me...
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07/17/2018
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
In this paper, we propose PointSeg, a real-time end-to-end semantic segm...
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04/05/2018
Big enterprise registration data imputation: Supporting spatiotemporal analysis of industries in China
Big, fine-grained enterprise registration data that includes time and lo...
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02/28/2018
An Event-based Diffusion LMS Strategy
We consider a wireless sensor network consists of cooperative nodes, eac...
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11/30/2017
State Space LSTM Models with Particle MCMC Inference
Long Short-Term Memory (LSTM) is one of the most powerful sequence model...
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11/02/2016
Structure vs. Language: Investigating the Multi-factors of Asymmetric Opinions on Online Social Interrelationship with a Case Study
Though current researches often study the properties of online social re...
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11/02/2016