Home      Library      Discussions      About
Join us

@cs.ucdavis.edu

Jan 22, 2018
Software Engineering

Large-Scale Analysis of Framework-Specific Exceptions in Android Apps

Mobile apps have become ubiquitous. For app developers, it is a key priority to ensure their apps' correctness and reliability. However, many apps st…
Jan 29, 2019
Machine Learning

Deep Constrained Clustering - Algorithms and Advances

The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist …
May 12, 2008
Statistical Mechanics
Software Engineering
Quantitative Methods
Applications

Modeling and verifying a broad array of network properties

Motivated by widely observed examples in nature, society and software, where groups of already related nodes arrive together and attach to an existin…
Jan 07, 2009
Quantitative Methods
Statistical Mechanics
Biological Physics

Strong associations between microbe phenotypes and their network ar…

Understanding the dependence and interplay between architecture and function in biological networks has great relevance to disease progression, biolo…
Oct 20, 2011
Operating Systems
Distributed
Parallel
and Cluster Computing
Data Structures and Algorithms
Graphics

Efficient Synchronization Primitives for GPUs

In this paper, we revisit the design of synchronization primitives---specifically barriers, mutexes, and semaphores---and how they apply to the GPU. …
Aug 30, 2015
Metric Geometry
Combinatorics

Helly's Theorem: New Variations and Applications

This survey presents recent Helly-type geometric theorems published since the appearance of the last comprehensive survey, more than ten years ago. W…
Jan 08, 2021
Machine Learning

A Framework for Deep Constrained Clustering

The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist …
Jul 30, 2013
Quantitative Methods
Computational Engineering
Finance
and Science i
Data Structures and Algorithms

Faster Algorithms for RNA-folding using the Four-Russians method

The secondary structure that maximizes the number of non-crossing matchings between complimentary bases of an RNA sequence of length n can be compute…
Apr 27, 2014
Information Theory
Distributed
Parallel
and Cluster Computing
Networking and Internet Architecture
Performance

When Queueing Meets Coding: Optimal-Latency Data Retrieving Scheme in…

In this paper, we study the problem of reducing the delay of downloading data from cloud storage systems by leveraging multiple parallel threads, ass…
Apr 11, 2016
Strongly Correlated Electrons

Impurity-Induced Antiferromagnetic Domains in the Periodic Anderson …

A central feature of the Periodic Anderson Model is the competition between antiferromagnetism, mediated by the Ruderman-Kittel-Kasuya-Yosida interac…
May 19, 2015
Computer Vision

Predicting Important Objects for Egocentric Video Summarization

We present a video summarization approach for egocentric or "wearable" camera data. Given hours of video, the proposed method produces a compact stor…
May 09, 2009
Combinatorics

Generalizing the Splits Equivalence Theorem and Four Gamete Condition…

We study the perfect phylogeny problem and establish a generalization of the four gamete condition (also called the Splits Equivalence Theorem) for s…
Dec 24, 2017
Machine Learning

Transfer Regression via Pairwise Similarity Regularization

Transfer learning methods address the situation where little labeled training data from the "target" problem exists, but much training data from a re…
Oct 25, 2018
Machine Learning
Cryptography and Security
Social and Information Networks

Attack Graph Convolutional Networks by Adding Fake Nodes

In this paper, we study the robustness of graph convolutional networks (GCNs). Previous work have shown that GCNs are vulnerable to adversarial pertu…
Jan 29, 2019
Machine Learning

A Framework for Deep Constrained Clustering -- Algorithms and Advances

The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist …
Jan 17, 2020
Human-Computer Interaction
Social and Information Networks

A Study of Mental Maps in Immersive Network Visualization

The visualization of a network influences the quality of the mental map that the viewer develops to understand the network. In this study, we investi…
Aug 23, 2007
Genomics

CompostBin: A DNA composition-based algorithm for binning environment…

A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not…
Sep 17, 2014
Social and Information Networks
Physics and Society

Analysis and Visualization of Dynamic Networks

This chapter provides an overview of the different techniques and methods that exist for the analysis and visualization of dynamic networks. Basic de…
Jan 23, 2020
Machine Learning
Human-Computer Interaction

Visual Summary of Value-level Feature Attribution in Prediction Class…

Deep Recurrent Neural Networks (RNN) is increasingly used in decision-making with temporal sequences. However, understanding how RNN models produce f…
Nov 28, 2016
Graphics

Navigable videos for presenting scientific data on head-mounted displ…

Immersive, stereoscopic viewing enables scientists to better analyze the spatial structures of visualized physical phenomena. However, their findings…
There aren't more papers

Request Comment

or Invite via email
You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description