Research Scholar Program recipients

Aaron Bernstein, Rutgers University
New Algorithmic Tools for Computing a Maximum-Weight Matching

Li-Yang Tan, Stanford University
Theoretical foundations of explainable machine learning

Oliver Hinder, University of Pittsburgh
First-order methods for linear programming and beyond

Rajan Udwani, University of California, Berkeley
Generalized Framework for Prior-free Online Resource Allocation

Slobodan Mitrovic, University of California, Davis
Fast Fully Scalable Data Partitioning

Yuting Wei, University of Pennsylvania
Bridging Game Theory, Statistics and Optimization in Multi-Agent Reinforcement Learning

Aditi Sheshadri, Stanford University
Leveraging machine learning tools to transform the accuracy of climate models

Jon Tamir, The University of Texas at Austin
Generative Physical Modeling for Blind Imaging Inverse Problems

Joseph G. Makin, Purdue University
Brain-Machine Interfaces for Speech

Laura Minet, University of Victoria
Remote sensing of on-road vehicle emissions for assessing ambient air quality

N M Anoop Krishnan, Indian Institute of Technology, Delhi Sayan Ranu, Indian Institute of Technology, Delhi
Reinforcement Learning on Rough Landscapes for Materials Discovery

Shoshana Vasserman, Stanford University
Can Congestion Pricing Work? Equilibrium Analysis in a Large Field Experiment

Ching-Yao Lai, Stanford University
Data-driven and physics informed models for iceberg calving

Paulo Orenstein, Instituto de Matemática Pura e Aplicada (IMPA)
Forest monitoring with satellite imagery and machine learning: diagnostics, prediction and uncertainty quantification

Alexis Hiniker, University of Washington
Encouraging Nonviolent Communication in Online Messaging Platforms

Andrea Mauri, Université Claude Bernard Lyon 1
Human-Guided Annotation for High-Quality Health Data Collection

Daniel Buschek, University of Bayreuth
SHAIRED: Shared Human-AI Relationships for Editing Documents

David Lee, University of California, Santa Cruz
Conversational UX and Conversational Clustering Algorithms for Large Group Mentorship

Dhruv Jain, University of Michigan
Sound Awareness Systems to Support People Who are Deaf or Hard of Hearing

Dominik Moritz, Carnegie Mellon University
Accessible Interactions for Data Visualizations

Michael J. Lee, New Jersey Institute of Technology
Increasing Underrepresented Youth and Older Adults’ Participation in Computing Activities through Intergenerational Coding

Terika McCall, Yale University
Mobile Application to Support Management of Anxiety and Depression Among Black Women

Longfei Shangguan, University of Pittsburgh
Enabling Remote Cardiac Auscultation On the Fly

Marinka Zitnik, Harvard University
Geometric Deep Learning to Shorten Diagnostic Odysseys for Rare Disease

Mathias Unberath, Johns Hopkins University
Assuring Image-based Surgical Autonomy with Human-in-the-loop Designs

Pranav Rajpurkar, Harvard University
Medically Accurate Radiology Report Generation

Tauhidur Rahman, University of California, San Diego
Personalized AI/ML Framework for Modeling Opioid Addiction with Wearable and Smartphone Sensor Data

Waqas Sultani, Information Technology University, Pakistan
A Large-Scale Blood Cancer Dataset of Multiple Microscopes for Low-Cost Blood Cancer Detection

Yasser Khan, University of Southern California
Racial bias correction in oximetry with Google’s skin tone framework

Yunyu Xiao, Weill Cornell Medicine
Equity-focused Policy-Decision-Making using Causal Machine Learning (EPIC)

Atlas Wang, University of Texas at Austin
Efficiently Scale, Adaptively Compute: A Recipe for Training and Using Larger Sparse Models

Beomjoon Kim, Korea Advanced Institute of Science and Technology
Integrating large language models with geometric task and motion planning

Christopher De Sa, Cornell University
Example Selection for Large-Scale Optimization and Learning

Gauri Joshi, Carnegie Mellon University
Heterogeneity-aware Algorithms for Federated Optimization

Graeme Best, University of Technology Sydney, Australia
Online Behaviour Tree Synthesis for Adaptive Multi-Agent Coordination

Hamidreza Kasaei, University of Groningen
Continual Robot Learning in Human-centered Environments through Imitation and Interaction

Ilija Bogunovic, University College London
Deep Model-based Optimization for Graph-structured Data

Luis Felipe Giraldo, Universidad de los Andes, Colombia
Modeling Financial Cooperation in Underprivileged Communities using Multi-Agent Reinforcement Learning

Marynel Vázquez, Yale University
Facilitating Human Evaluation of Robot Performance

Nika Haghtalab, University of California, Berkeley
Statistical Foundations of Collaborative Machine Learning

Sebastian Stich, Saarland Universität
Efficient Algorithms for Non-Convex Federated Learning on Heterogeneous Data

Wei Hu, University of Michigan
Deep Learning Theory Under Realistic and Measurable High-Dimensional Data Properties

Jeffrey Nanzer, Michigan State University
Joint Sensing and Communications for High-Accuracy Localization in Mobile Millimeter-Wave Networks

Jun Han, Yonsei University
Utilizing Road Context for Augmentation and Verification of Vehicular Applications

Vikram Iyer, University of Washington
Circular Fabrication and Computational Design for Sustainable Electronics

Aanchan Mohan, Northeastern University
No speaker left behind: advancing speech technology for disordered speech

Gul Varol, Ecole des Ponts ParisTech
Open-Vocabulary Sign Language Translation

Naveed Akhtar, The University of Western Australia
Enabling Glass-box Deep Machine Perception

Maria Apostolaki, Princeton University
Fine-Grained Network Telemetry via Multivariate Time Series Imputation

Sajjad Moazeni, University of Washington
Next-generation Disaggregated AI Architectures Enabled by Co-packaged Optics

Vishal Shrivastav, Purdue University
Online Network Intrusion Detection and Prevention in High‐Speed Networks using Data Plane Programmability

Dr. Casper Shikali Shivachi, South Eastern Kenya University
Processing African Low Resource Languages Using Deep Learning

Miryam de Lhoneux, KU Leuven
Typologically fair NLP

Nanyun (Violet) Peng, University of California, Los Angeles
Automatic Evaluation Metrics for Multimodal Open-Domain Creative Generation

Robin Jia, University of Southern California
Stabilizing In-Context Learning by Understanding the Value of Demonstrations

Charith Perera, Cardiff University
Tangible Interfaces for Assisting Young People with Neurodiversity Towards better Understanding Online Harms

Henry Corrigan-Gibbs, Massachusetts Institute of Technology
Private Web Search

Oren Mangoubi, Worcester Polytechnic Institute
Matrix Diffusions for Differentially Private Linear Algebra

Wenting Zheng, Carnegie Mellon University
Privacy-Preserving Inference for Natural Language Processing

Matthew Amy, Simon Fraser University
Practical automated verification for quantum computing

Nai-Hui Chia, Rice University
Shallow-forwarding and Parallel Fast-forwarding of Hamiltonian Simulation

Shenglong Xu, Texas A&M University
Test Quantum Advantage by Scrambling in Random Circuits

Dong Xie, Pennsylvania State University
ERRAND: Elastic and Responsive Real-Time Analytics on Newly-ingested Data

Tao Yu, The University of Hong Kong
Building Natural Language Interfaces for Data Science with Language Models

Aayush Jain, Carnegie Mellon University
Light-Weight Homomorphic Secret Sharing from Sparse Decoding Problems

Ling Ren, University of Illinois at Urbana-Champaign
Practical Single-Server Private Information Retrieval

Sanghyun Hong, Oregon State University
Evaluating and Mitigating Security and Privacy Risks of Publishing Resource-Efficient Models to Edge Devices

Shuai Wang, The Hong Kong University of Science and Technology
Exploiting and Mitigating Side Channels in AI Infrastructures

Xiao Wang, Northwestern University
Zero-Knowledge Proofs for Private and Transparent Machine Learning

Yousra Aafer, University of Waterloo
Security Audit of Android APIs Via Probabilistic Inference

Zakir Durumeric, Stanford University
Detecting DNS Hijacking Attacks at Scale and in Real Time

Caroline Lemieux, The University of British Columbia
Practical Fuzz Driven-Development

Gagandeep Singh, University of Illinois at Urbana-Champaign
Accurate, Efficient, and Provably Robust Deep Learning

Gema Rodriguez-Perez, University of British Columbia
Everyone talks in their own way: Making natural language-based code generation systems accessible to women and ESL developers

Mengjia Yan, Massachusetts Institute of Technology
Leveraging User-Accessible Hardware Signals for the Efficient Discovery of Corrupt Execution Errors

Minsoo Rhu, Korea Advanced Institute of Science and Technology (KAIST)
Co-Designing Hardware/Software Systems for Differentially Private Machine Learning

Mosharaf Chowdhury, University of Michigan
Fault-Tolerant Distributed Training of Large DNN Models

Sophia Shao, University of California, Berkeley
Scalable Multi-Chiplet Architectures with Heterogeneous Integration Platforms

Andres Gomez, University of Southern California
Convexification of mixed-integer quadratic optimization problems

Yuxin Chen, University of Pennsylvania
Tackling Nonconvex Optimization in Reinforcement Learning

Hubert Wagner, University of Florida
Algorithms for Topological Analysis of Neural Networks

Cameron Musco, University of Massachusetts - Amherst
Random Sketching for Scalable and Data Efficient Learning

Inbal Talgam-Cohen, Technion - Israel Institute of Technology
Mechanism Design with Strategic Effort

Anderson Chaves Carniel, Universidade Federal de São Carlos
Development of an Extensible Spatial Library for Indexing Spatial Data on Different Types of Memories

Natalia Ocampo-Peñuela, University of California, Santa Cruz
New habitat connectivity models for bird conservation using artificial intelligence

Nicolas Audebert, Conservatoire National des Arts et Métiers
Mapping Aerial imagery by learning on Game Engine-based simulations

Muhamad Risqi Utama Saputra, Monash University, Indonesia
Global Mining Watch: A Large Scale Geo-Spatial Analysis from Global Mining Footprints

Thanh Nho Do, University of New South Wales
Reproduce A Better Sense of Touch with Soft Robotic Haptic Skin Interfaces

Brian Y. Lim, National University of Singapore
Measuring & Mitigating Misleading Model Explanations of Private Data

Kiran Garimella, Rutgers University
Community-Driven Fact-Checking on Encrypted Chat Platforms: Who fact-checks Whom, Why, and With What Effect?

Xiang 'Anthony' Chen, University of California, Los Angeles
Learning Beyond Labels: Extracting Human Knowledge to Teach AI

Toby Li, University of Notre Dame
Effective Human-AI Collaboration with Data-Driven Models in UX Design

Anhong Guo, University of Michigan
Making Collaborative Augmented Reality Experiences Accessible for People with Visual Impairments

Kristen Shinohara, Rochester Institute of Technology
Think Aloud Protocols for Deaf and Hard of Hearing Designers and Users

Amy X. Zhang, University of Washington
Designing End User Tools for Personalized Content Moderation

Tony Russell-Rose, Goldsmiths, University of London
Promoting efficiency and effectiveness in structured searching

Kongmeng Liew, Nara Institute of Science and Technology
Understanding Social Withdrawal and Hikikomori: Research and Development of an Intelligent Companion Application for AI-Assisted Therapy

Roneel Sharan, Macquarie University
Cough Sound Assessment Using Deep Learning Techniques

Kun-Hsing Yu, Harvard University
Causal Machine Learning for Personalized Cancer Medicine in Diverse Populations

Edward Jay Wang, University of California, San Diego
Smartphone BP Monitoring for Hypertension Care in Low Resource Communities

Bryan Ranger, Boston College
Mobile ultrasound and machine learning-based image interpretation for body composition measurements and nutritional status assessment in newborns

Chemtai Mungo, University of North Carolina at Chapel Hill
Feasibility of artificial intelligence- supported cervical cancer screening in sub-Saharan Africa

Rui Duan, Harvard University
Targeting Underrepresented Populations in Precision Medicine via Federated Transfer Learning

Kevin Ellis, Cornell University
Programming Problem Generation for Human and Machine Learning

Daehyung Park, Korea Advanced Institute of Science and Technology
Physics-Informed Interactive Skill Learning Toward In-hand Manipulation of Deformable Objects

Damian Borth, University of St.Gallen
Hyper-Representations: Learning from Populations of Neural Networks

Shuran Song, Columbia University
Language-Informed Decision Making for GeneralizableRobot Manipulation

Jaime Fernández Fisac, Princeton University
Safe Reinforcement Learning via Adversarial Imagination

Aaditya Ramdas, Carnegie Mellon University
Distribution-free uncertainty quantification for structured data

Grant M. Rotskoff, Stanford University
Establishing theoretical foundations for robust, data-driven simulations of physical systems

Haipeng Luo, University of Southern California
Goal-Oriented Reinforcement Learning: Theory and Algorithms

Razieh Rahimi, University of Massachusetts - Amherst
Generative Rankers toward Trustworthy Search Result Diversification

Jayadev Acharya, Cornell University
Information-Constrained Statistics and Federated Analytics

Yanning Shen, University of California, Irvine
Addressing Unfairness in Learning over Social Networks

Samet Oymak, University of California, Riverside
Personalized Training Strategies for Heterogeneous Data

Roi Livni, Tel-Aviv University
Fair use of synthetic data

Elahe Soltanaghai, University of Illinois Urbana-Champaign
Scalable Millimeter-Wave Backscatter Sensing for Augmented Reality

Feng Qian, University of Minnesota
Learning-based Mobile Video Delivery over 5G Networks

Jeffrey Nanzer, Michigan State University
Spectrally-Sparse Distributed Localization for Mobile Millimeter-Wave Networks

Justin Solomon, Massachusetts Institute of Technology
Geometric Representations for Intelligent 3D Modeling

Laura Sevilla-Lara, University of Edinburgh
Sparse Temporal Representations for VideoUnderstanding

Angela Dai, Technische Universität München
Self-Supervised 3D Reconstruction in the Wild

Abby Stylianou, Saint Louis University
Using Deep Learning to Uncover Unknown Genotype x Phenotype Relationships in Crops

Priyadarshini Panda, Yale University
Private Explainable & Robust Distributed Learning With Spiking Neural Networks

Gopala Krishna Anumanchipalli, University of California, Berkeley
Streaming Neural Speech Synthesis from Biosignals

Judy Hoffman, Georgia Institute of Technology
Reliable Visual Adaptation through Selective Learning

Lin Wang, Vrije Universiteit Amsterdam
Unified Programming for Data Center In-Network Computing

Endadul Hoque, Syracuse University
CSFuzz: Fuzzing for Highly Structured Context-Sensitive Inputs

Michio Honda, University of Edinburgh
Upcycling Packets as Persistent In-Memory Data Structures

Manya Ghobadi, Massachusetts Institute of Technology
Cassini: Optimizing Communication Bandwidth in Shared Machine Learning Clusters

Nik Sultana, Illinois Institute of Technology
Endokernels: In-dataplane Support for Lower-Latency Programmable Network Reconfiguration

Soroush Vosoughi, Dartmouth College
Culture-Aware Language Models

Ryan Cotterell, ETH Zürich
Controlling and Understanding Representations through Concept Erasure

Vukosi Marivate, University of Pretoria
Investigation into the consolidation of learnings of language models and language tools for South African languages and beyond

Chenhao Tan, University of Chicago
Robustifying NLP models via Learning from Explanations

Karthik Narasimhan, Princeton University
Autonomous Interaction with the World Wide Web

Andrew Katumba, Makerere University
Building Luganda Automatic Speech Recognition Models for Agriculture

Chenhui Chu, Kyoto University
Visual Scene-Aware Machine Translation

Ji Yun Lee, Washington State University
Data-driven dynamic wildfire risk assessment for resilient communities

Junjie Qin, Purdue University
Storage for 24/7 Carbon-Free Energy: Modeling, Control, and Market Design

Yu She, Purdue University
Visuo-tactile Enhanced Perception for Robotic Cable Installation

Elissa M. Redmiles, Max Planck Institute
Aligning Technical Data Privacy Protections with User Concerns

Saba Eskandarian, University of North Carolina at Chapel Hill
Tracking Misinformation on Private Communication Platforms

Ferdinando Fioretto, Syracuse University
Equity of Differentially Private Decision Processes

Sebastian Zimmeck, Wesleyan University
Privacy Pioneer: Automating the Creation of Privacy Labels for Websites

Mathias Lécuyer, The University of British Columbia
Improving Differentially Private Machine Learning with Data Generation as Information Sharing

Erez Zohar, The Hebrew University of Jerusalem
Using Duality Transformations for Quantum Simulation

Xiao Chen, Boston College
Applications of the measurement-induced entanglement phase transition in quantum computing

Bill Fefferman, The University of Chicago
Understanding the feasibility of practical applications from quantum supremacy experiments

Anthony Sigillito, University of Pennsylvania
Towards a spin memory for superconducting circuits

Marina Radulaski, University of California, Davis
Marina Krstic Marinkovic, ETH Zürich
Q-MARINA: Quantum Mapping Algorithm of Resonator Interaction with N Atoms

Xu Chu, Georgia Institute of Technology
Differentiable Search of Data Preprocessing Pipelines for Learning over Dirty Structured Data

Huan Sun, The Ohio State University
Empowering Pre-trained Language Models for Multi-Step Reasoning

Xiang Ren, University of Southern California
Continual Model Refinement with Human in the Loop

Romila Pradhan, Purdue University
Post hoc Diagnostic Explanations for Machine Learning Model Outcomes

Franziska Roesner, University of Washington
Security and Privacy for Vulnerable and/or Marginalized Populations

Aydin Aysu, North Carolina State University
Demonstrating and Mitigating Security Vulnerabilities of Edge Tensor Processing Units

David Wu, University of Texas at Austin
High-Rate, High-Throughput Private Information Retrieval via FHE Composition

Yasemin Acar, George Washington University
Human factors everywhere: A qualitative investigation into trust and security in open source projects

Eleonora Losiouk, Universita' degli studi di Padova
SPECK: From Android Textual Guidelines To Automatic Exploitation of Vulnerable Applications

Musard Balliu, KTH Royal Institute of Technology
Automated Detection and Exploitation of Object Injection Vulnerabilities

Maria Christakis, Max Planck Institute for Software Systems
Metamorphic Specification and Testing of Machine-Learning Models

Brittany Johnson-Matthews, George Mason University
Exploring and Boosting Ethical Signals in Data-Driven Software Communities

Lingming Zhang, University of Illinois at Urbana-Champaign
Towards Effective Fuzzing of Deep Learning Libraries

Inna Partin-Vaisband, University Of Illinois Chicago
Knowledge Graph Embedding for Early Detection of Hardware Trojans

James Bornholt, University of Texas at Austin
Lightweight Formal Methods for Continuously Verified Cloud Services

Jason Lowe-Power, University of California, Davis
Virtualized Remote Memory Management: Enabling Sharing of Fabric-Attached Memory for Disaggregated Systems

Sudarsun Kannan, Rutgers University
Addressing I/O Bottlenecks with Near-storage Filesystem and CISC I/O

Xun Jian, Virginia Polytechnic Institute
Architectural Support to Assist OS Aggressively Save Memory in Cloud while Preserving High Application Performance and Strong Performance Isolation

Gennady Pekhimenko, University of Toronto
Holistic Systems Techniques for Efficient Training of Deep Learning Models

Adrian Sampson, Cornell University
Debugging and Verifying DSL-to-Hardware Compilers

Alexandros Psomas, Purdue University
Auction Theory Beyond Independent, Quasi-Linear Bidders

Julian Shun, Massachusetts Institute of Technology
Scalable Parallel Subgraph Finding and Peeling Algorithms

Mary Wootters, Stanford University
The Role of Redundancy in Algorithm Design

Pravesh K. Kothari, Carnegie Mellon University
Efficient Algorithms for Robust Machine Learning

Sepehr Assadi, Rutgers University
Graph Clustering at Scale via Improved Massively Parallel Algorithms

Srinath Sridhar, Brown University
Perception and Generation of Interactive Objects

Miriam E. Marlier, University of California, Los Angeles
Mapping California’s Compound Climate Hazards in Google Earth Engine

Suining He, The University of Connecticut
Fairness-Aware and Cross-Modality Traffic Learning and Predictive Modeling for Urban Smart Mobility Systems

Arvind Satyanarayan, Massachusetts Institute of Technology
Generating Semantically Rich Natural Language Captions for Data Visualizations to Promote Accessibility

Dina EL-Zanfaly, Carnegie Mellon University
In-the-making: An intelligence mediated collaboration system for creative practices

Katharina Reinecke, University of Washington
Providing Science-Backed Answers to Health-related Questions in Google Search

Misha Sra, University of California, Santa Barbara
Hands-free Game Controller for Quadriplegic Individuals

Mohsen Mosleh, University of Exeter Business School
Effective Strategies to Debunk False Claims on Social Media: A large-scale digital field experiments approach

Tanushree Mitra, University of Washington
Supporting Scalable Value-Sensitive Fact-Checking through Human-AI Intelligence

Catarina Barata, Instituto Superior Técnico, Universidade de Lisboa
DeepMutation – A CNN Model To Predict Genetic Mutations In Melanoma Patients

Emma Pierson, Cornell Tech, the Jacobs Institute, Technion-Israel Institute of Technology, and Cornell University
Using cell phone mobility data to reduce inequality and improve public health

Jasmine Jones, Berea College
Reachout: Co-Designing Social Connection Technologies for Isolated Young Adults

Mojtaba Golzan, University of Technology Sydney, Jack Phu, University of New South Wales
Autonomous Grading of Dynamic Blood Vessel Markers in the Eye using Deep Learning

Serena Yeung, Stanford University
Artificial Intelligence Analysis of Surgical Technique in the Operating Room

Aravindan Vijayaraghavan, Northwestern University, Sivaraman Balakrishnan, Carnegie Mellon University
Principled Approaches for Learning with Test-time Robustness

Cho-Jui Hsieh, University of California, Los Angeles
Scalability and Tunability for Neural Network Optimizers

Golnoosh Farnadi, University of Montreal, HEC Montreal/MILA
Addressing Algorithmic Fairness in Decision-focused Deep Learning

Harrie Oosterhuis, Radboud University
Search and Recommendation Systems that Learn from Diverse User Preferences

Jimmy Ba, University of Toronto
Model-based Reinforcement Learning with Causal World Models

Nadav Cohen, Tel-Aviv University
A Dynamical Theory of Deep Learning

Nihar Shah, Carnegie Mellon University
Addressing Unfairness in Distributed Human Decisions

Nima Fazeli, University of Michigan
Semi-Implicit Methods for Deformable Object Manipulation

Qingyao Ai, University of Utah
Metric-agnostic Ranking Optimization

Stefanie Jegelka, Massachusetts Institute of Technology
Generalization of Graph Neural Networks under Distribution Shifts

Virginia Smith, Carnegie Mellon University
A Multi-Task Approach for Trustworthy Federated Learning

Aruna Balasubramanian, State University of New York - Stony Brook
AccessWear: Ubiquitous Accessibility using Wearables

Tingjun Chen, Duke University
Machine Learning- and Optical-enabled Mobile Millimeter-Wave Networks

Amir Patel, University of Cape Town
WildPose: 3D Animal Biomechanics in the Field using Multi-Sensor Data Fusion

Angjoo Kanazawa, University of California, Berkeley
Practical Volumetric Capture of People and Scenes

Emanuele Rodolà, Sapienza University of Rome
Fair Geometry: Toward Algorithmic Debiasing in Geometric Deep Learning

Minchen Wei, The Hong Kong Polytechnic University
Accurate Capture of Perceived Object Colors for Smart Phone Cameras

Mohsen Ali, Information Technology University, Pakistan, Izza Aftab, Information Technology University, Pakistan
Is Economics From Afar Domain Generalizable?

Vineeth N Balasubramanian, Indian Institute of Technology Hyderabad
Bridging Perspectives of Explainability and Adversarial Robustness

Xin Yu, University of Technology Sydney, Linchao Zhu, University of Technology Sydney
Sign Language Translation in the Wild

Aurojit Panda, New York University
Bertha: Network APIs for the Programmable Network Era

Cristina Klippel Dominicini, Instituto Federal do Espirito Santo
Polynomial Key-based Architecture for Source Routing in Network Fabrics

Noa Zilberman, University of Oxford
Exposing Vulnerabilities in Programmable Network Devices

Rachit Agarwal, Cornell University
Designing Datacenter Transport for Terabit Ethernet

Danqi Chen, Princeton University
Improving Training and Inference Efficiency of NLP Models

Derry Tanti Wijaya, Boston University, Anietie Andy, University of Pennsylvania
Exploring the evolution of racial biases over time through framing analysis

Eunsol Choi, University of Texas at Austin
Answering Information Seeking Questions In The Wild

Kai-Wei Chang, University of California, Los Angeles
Certified Robustness to against language differences in Cross-Lingual Transfer

Mohohlo Samuel Tsoeu, University of Cape Town
Corpora collection and complete natural language processing of isiXhosa, Sesotho and South African Sign languages

Natalia Diaz Rodriguez, University of Granada (Spain) + ENSTA, Institut Polytechnique Paris, Inria. Lorenzo Baraldi, University of Modena and Reggio Emilia
SignNet: Towards democratizing content accessibility for the deaf by aligning multi-modal sign representations

John Dickerson, University of Maryland - College Park, Nicholas Mattei, Tulane University
Fairness and Diversity in Graduate Admissions

Mor Nitzan, Hebrew University
Learning representations of tissue design principles from single-cell data

Nikolai Matni, University of Pennsylvania
Robust Learning for Safe Control

Foteini Baldimtsi, George Mason University
Improved Single-Use Anonymous Credentials with Private Metabit

Yu-Xiang Wang, University of California, Santa Barbara
Stronger, Better and More Accessible Differential Privacy with autodp

Ashok Ajoy, University of California, Berkeley
Accelerating NMR spectroscopy with a Quantum Computer

John Nichol, University of Rochester
Coherent spin-photon coupling

Jordi Tura i Brugués, Leiden University
RAGECLIQ - Randomness Generation with Certification via Limited Quantum Devices

Nathan Wiebe, University of Toronto
New Frameworks for Quantum Simulation and Machine Learning

Philipp Hauke, University of Trento
ProGauge: Protecting Gauge Symmetry in Quantum Hardware

Shruti Puri, Yale University
Surface Code Co-Design for Practical Fault-Tolerant Quantum Computing

Abolfazl Asudeh, University Of Illinois, Chicago
An end-to-end system for detecting cherry-picked trendlines

Eugene Wu, Columbia University
Interactive training data debugging for ML analytics

Jingbo Shang, University of California, San Diego
Structuring Massive Text Corpora via Extremely Weak Supervision

Chitchanok Chuengsatiansup, The University of Adelaide, Markus Wagner, The University of Adelaide
Automatic Post-Quantum Cryptographic Code Generation and Optimization

Elette Boyle, IDC Herzliya, Israel
Cheaper Private Set Intersection via Advances in "Silent OT"

Joseph Bonneau, New York University
Zeroizing keys in secure messaging implementations

Yu Feng, University of California, Santa Barbara, Yuan Tian, University of Virginia
Exploit Generation Using Reinforcement Learning

Kelly Blincoe, University of Auckland
Towards more inclusive software engineering practices to retain women in software engineering

Fredrik Kjolstad, Stanford University
Sparse Tensor Algebra Compilation to Domain-Specific Architectures

Milos Gligoric, University of Texas at Austin
Adaptive Regression Test Selection

Sarah E. Chasins, University of California, Berkeley
If you break it, you fix it: Synthesizing program transformations so that library maintainers can make breaking changes

Adwait Jog, College of William and Mary
Enabling Efficient Sharing of Emerging GPUs

Heiner Litz, University of California, Santa Cruz
Software Prefetching Irregular Memory Access Patterns

Malte Schwarzkopf, Brown University
Privacy-Compliant Web Services by Construction

Mehdi Saligane, University of Michigan
Autonomous generation of Open Source Analog & Mixed Signal IC

Nathan Beckmann, Carnegie Mellon University
Making Data Access Faster and Cheaper with Smarter Flash Caches

Yanjing Li, University of Chicago
Resilient Accelerators for Deep Learning Training Tasks