Exploring In-Context Reinforcement Learning

Systems and Debugging Supports for Hardware Designs

Artificial Intelligence Algorithms for Large Economic and Computer Games

Towards Query Processing in Video Database Management Systems

Learning Visual Representations from Cross-Modal Correspondence

Language Supervision for Computer Vision

Improving Select Applications of Long-Read DNA Sequencing

Enabling Direct Bluetooth-WiFi Communications

Understanding understanding: How do we reason about computational logic?

Hardware-Software Co-design for Reliable and Efficient Heterogeneous Systems

Global and Longitudinal Investigation of Network Connection Tampering

A Strategic Agent-Based Analysis of Economic and Technological Changes in Financial Networks

Machine Learning Approaches for Quantitative Analysis and Characterization of Pathological Speech Disorders

Learning Representations for Efficient Exploration and Goal-Conditioned Reinforcement Learning

Towards Clinically Applicable Reinforcement Learning

Towards Video Understanding through Language in Real-life Settings

Characterizing and Improving Next-Generation Network Infrastructures and Applications

Advancing Graph Neural Networks for Complex Data: A Perspective Beyond Homophily

Transforming Disfluency Detection: Integrating Large Language and Acoustic Models

Predicting the Timing of Clinical Outcomes in the Presence of Multiple Events and Noisy Labels

Optimizing Graph Applications Through Graph Sparsification and Accelerator Design

Interpretability, Controllability, and Expressivity in the Age of Language Models

Quality of Service for Performance-Critical Cloud Applications

Enabling Robot Arm Motion with Multiple Objectives Through Agent Representation and Reasoning

Three Lenses on Improving Programmer Productivity: From Anecdote to Evidence

Learning to Interact with the 3D World

Reconstructing Full 3D Geometry and Interaction Dynamics from Real World data

Combating Randomness: Towards Efficient Data-Intensive Applications Using Software-Hardware Co-Design

Coherent Physical Commonsense Reasoning in Foundational Language Models

Novel Sensing Approach for Shoulder Kinematics – Exploring Kirigami-Inspired Sensing and Machine Learning Platforms for At-Home Joint Monitoring

Bridging Data and Hardware Gap for Efficient Machine Model Scaling

Exploiting Tree Structure in Empirical Game-Theoretic Analysis for Extensive-Form Games

Improving Graph Representation Learning with Augmentations, Uncertainty Quantification and Large Language Model Guidance

Exploring Intersectionality in Responsible Data Management

Assisting Cloud System Development with Automated Insight Generation

Towards Enhanced Human-AI Interaction: A Holistic Approach to Personalization in Natural Language Processing

Leveraging Compositional Structure for Reinforcement Learning and Decision Making Problems

Enhancing Video Understanding Through Deep Generative Models and Task Comprehension