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Ruoxi Jia
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Sanghani Center for Artificial Intelligence and Data Analytics
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2020
Welcome to AI matters
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
Guided Image-to-Image Translation With Bi-Directional Feature Transformation
Auto-Grading Jupyter Notebooks
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records
Investigating Paradigms of Group Territory in Multiple Display Environments
Category-Level Articulated Object Pose Estimation
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game
Low Rank Factorization for Compact Multi-Head Self-Attention
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework
Text-to-SQL Generation for Question Answering on Electronic Medical Records
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality
Incorporating Expert Guidance in Epidemic Forecasting
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems
Cut-n-Reveal: Time Series Segmentations with Explanations
Detecting Suspicious Timber Trades
Geospatial Clustering for Balanced and Proximal Schools
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction
STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization
Challenges in Evaluating Interactive Visual Machine Learning Systems
Interactive Artificial Intelligence: Designing for the "Two Black Boxes" Problem
Evaluating the Benefits of the Immersive Space to Think
DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning
Evaluating Semantic Interaction on Word Embeddings via Simulation
NetReAct: Interactive Learning for Network Summarization
Learning evolving user’s behaviors on location-based social networks
Probabilistic Topic Modeling for Comparative Analysis of Document Collections
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning
Semantic Editing On Segmentation Map Via Multi-Expansion Loss
Modeling I/O performance variability in high-performance computing systems using mixture distributions
A half century of computing
Personal reflections on 50 years of scientific computing: 1967–2017
An Attack-Resilient Architecture for the Internet of Things
Algorithm 1007: QNSTOP—Quasi-Newton Algorithm for Stochastic Optimization
Algorithm 1012: DELAUNAYSPARSE: Interpolation via a Sparse Subset of the Delaunay Triangulation in Medium to High Dimensions
Managing computationally expensive blackbox multiobjective optimization problems with libensemble
Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations
Adaptive Label Smoothing
High-dimensional spatial simulation ensemble analysis
Network and Station-Level Bike-Sharing System Prediction: A San Francisco Bay Area Case Study
Social Media Use, Political Polarization, and Social Capital: Is Social Media Tearing the U.S. Apart?
ARGminer: A web platform for the crowdsourcing-based curation of antibiotic resistance genes
LINbase: A web server for genome-based identification of prokaryotes as members of crowdsourced taxa
Contour Integral Methods for Nonlinear Eigenvalue Problems: A Systems Theoretic Approach
Global Attention for Name Tagging
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development
Drink bleach or do what now? Covid-HeRA: A dataset for risk-informed health decision making in the presence of COVID19 misinformation
Applying GIS and Text Mining Methods to Twitter Data to Explore the Spatiotemporal Patterns of Topics of Interest in Kuwait
Too Small to Fail: Information Sharing Behavior in a US Municipal Election
How Should One Explore the Digital Library of the Future?
A Heuristic Baseline Method for Metadata Extraction from Scanned Electronic Theses and Dissertations
Preparing Code and Data for Computational Reproducibility
Introduction to Digital Libraries
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records
Differentially Private Synthetic Medical Data Generation using Convolutional GANs
Putting the “I” in Interaction: Interactive Interfaces Personalized to Individuals
Survey on the Analysis of User Interactions and Visualization Provenance
With respect to what?: Simultaneous interaction with dimension reduction and clustering projections
Two-stage building energy consumption clustering based on temporal and peak demand patterns
Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks
Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting
Clustering-based Unsupervised Generative Relation Extraction
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
Graph Deep Factors for Forecasting
Zero-shot Learning for Relation Extraction
A Principled Approach to Data Valuation for Federated Learning
Improved Techniques for Model Inversion Attacks
Punch Typing: Alternative Method for Text Entry in Virtual Reality
On the Impact of Perceptual Compression on Deep Learning
Robust anomaly detection and backdoor attack detection via differential privacy
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Probabilistic Topic Modeling for Comparative Analysis of Document Collections
NoiseScope: Detecting Deepfake Images in a Blind Setting
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder
Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space
Consistent video depth estimation
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Instance-Aware Image Colorization
3D Photography Using Context-Aware Layered Depth Inpainting
Learning to See Through Obstructions
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
FeatMatch: Feature-Based Augmentation for Semi-supervised Learning
Semantic View Synthesis
Shuffle and Attend: Video Domain Adaptation
DRG: Dual Relation Graph for Human-Object Interaction Detection
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Flow-edge Guided Video Completion
Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints
Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from Drones
Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Few-Shot Adaptation of Generative Adversarial Networks
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model
Interpolation of sparse high-dimensional data
An Examination of Grouping and Spatial Organization Tasks for High-Dimensional Data Exploration
Role-Based Graph Embeddings
Context-Rich Privacy Leakage Analysis Through Inferring Apps in Smart Home IoT
Coding Practices and Recommendations of Spring Security for Enterprise Applications
Security Certification in Payment Card Industry: Testbeds, Measurements, and Recommendations
Tutorial: Principles and Practices of Secure Cryptographic Coding in Java
GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting
Investigating The Reproducibility of NPM Packages
A Comprehensive Benchmark on Java Cryptographic API Misuses
Deployment-quality and Accessible Solutions for Cryptography Code Development
Methodologies for Quantifying (Re-)randomization Security and Timing under JIT-ROP
Prioritizing data flows and sinks for app security transformation
2021
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