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Sanghani Center for Artificial Intelligence and Data Analytics
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2022
Building A Large Collection of Multi-domain Electronic Theses and Dissertations
TriGORank: A Gene Ontology Enriched Learning-to-Rank Framework for Trigenic Fitness Prediction
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation
Inferring Commonsense Explanations as Prompts for Future Event Generation
EINNs: Epidemiologically-Informed Neural Networks
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores
Improving Zero-Shot Event Extraction via Sentence Simplification
Color Invariant Skin Segmentation
ANTHEM: Attentive Hyperbolic Entity Model for Product Search
Multi-Label Clinical Time-Series Generation via Conditional GAN
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
Learning Dynamic View Synthesis With Few RGBD Cameras
Efficient Long Sequence Encoding via Synchronization
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
The Art of Prompting: Event Detection based on Type Specific Prompts
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
Probing Script Knowledge from Pre-Trained Models
Adversarial Contrastive Learning by Permuting Cluster Assignments
Label-Only Model Inversion Attacks via Boundary Repulsion
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
Immersive Analytics 2.0: Spatial and Embodied Sensemaking
Numerically Trained Ultrasound AI for Monitoring Tool Degradation
Self-supervised Short-text Modeling through Auxiliary Context Generation
Hard Negative Sampling Strategies for Contrastive Representation Learning
Towards Automatic Curation of Antibiotic Resistance Genes via Statement Extraction from Scientific Papers: A Benchmark Dataset and Models
FixEval: Execution-based Evaluation of Program Fixes for Competitive Programming Problems
Blocking Influence at Collective Level with Hard Constraints
Semantic inpainting on segmentation map via multi-expansion loss
LINgroups as a principled approach to compare and integrate multiple bacterial taxonomies
Multilingual Code Snippets Training for Program Translation
CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models
Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
StructCoder: Structure-Aware Transformer for Code Generation
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
Text Enriched Sparse Hyperbolic Graph Convolutional Networks
Temporally Consistent Semantic Video Editing
Rethinking the Importance of Sampling in Physics-informed Neural Networks
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
Extracting Temporal Event Relation with Syntax-guided Graph Transformer
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
Improve Event Extraction via Self-Training with Gradient Guidance
Toward a general unsupervised novelty detection framework in structural health monitoring
[Data] Quality Lies In The Eyes Of The Beholder
Adversarial Contrastive Learning by Permuting Cluster Assignments
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays
Label-Only Model Inversion Attacks via Boundary Repulsion
QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models
Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity
Identifying geopolitical event precursors using attention-based LSTMs
Framing Algorithmic Recourse for Anomaly Detection
Efficient Generative Wireless Anomaly Detection for Next Generation Networks
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions
Scrutinizing Shipment Records To Thwart Illegal Timber Trade
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic
Evaluating the Benefits of Explicit and Semi-Automated Clusters for Immersive Sensemaking
Explainable Interactive Projections for Image Data
Characterizing Social Movement Narratives in Online Communities: The 2021 Cuban Protests on Reddit
Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation
Augmentation of Chinese Character Representations with Compositional Graph Learning
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution
Towards a Patient-Centered Virtual Hospital Ecosystem: A Fine Grained VHealth-AC Model for Hospitals' Legacy Information Systems
Cross-Domain Few-Shot Semantic Segmentation
Granger Causal Inference for Interpretable Traffic Prediction
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels
Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation
LANS: Large-scale Arabic News Summarization Corpus
Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions
Modeling the temporal dynamics of master regulators and CtrA proteolysis in Caulobacter crescentus cell cycle
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks
Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems
Quality of Service Measure for Bike Sharing Systems
Improving Accessibility to Arabic ETDs Using Automatic Classification
Web archiving and digital libraries (WADL) 2022
A Study of Computational Reproducibility using URLs Linking to Open Access Datasets and Software
A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis
How Descriptive are GMRES Convergence Bounds?
Discontinuities of the Integrated Density of States for Laplacians Associated with Penrose and Ammann-Beenker Tilings
Automatic Detection of Java Cryptographic API Misuses: Are We There Yet?
Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks
Privacy Guarantees of Bluetooth Low Energy Contact Tracing: A Case Study on COVIDWISE
Being the Developers' Friend: Our Experience Developing a High-Precision Tool for Secure Coding
Privacy Guarantees of BLE Contact Tracing for COVID-19 and Beyond: A Case Study on COVIDWISE
Poster: Comprehensive Comparisons of Embedding Approaches for Cryptographic API Completion
Example-based vulnerability detection and repair in Java code
Industrial Strength Static Detection for Cryptographic API Misuses
How Do Developers Follow Security-Relevant Best Practices When Using NPM Packages?
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury
GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries
Hyperbolic Neural Networks: Theory, Architectures and Applications
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance
Multilingual Code Snippets Training for Program Translation
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective
Sampling-based techniques for designing school boundaries
Drink Bleach or Do What Now? COVID-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation
2023
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