UIUC — CS Research

Computer science research from University of Illinois Urbana-Champaign, covering systems, compilers, databases, and AI.

Sample of the collection (25 of 6,959 items)

• Spatial optimization of multi-scale biorefinery deployment for a diversified bioeconomy in the United States University of Illinois Urbana-Champaign Strategic siting of biorefineries is critical for a diversified U.S. bioeconomy, yet industry, policy, and research often focus on…
• Scene perception-memory pairing extends to superior parietal cortex University of Illinois Urbana-Champaign Abstract Visual scene analysis relies on a set of scene-selective regions in posterior cerebral cortex (OPA, PPA, MPA), each paired with…
• Stressed lax triggers in Eastern Andalusian Spanish harmony: The effects of final - <i>r</i> and - <i>s</i> deletion University of Illinois Urbana-Champaign Abstract Eastern Andalusian Spanish (EAS), spoken in southern Spain, is characterized by the loss of most word-final consonants in…
• SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios University of Illinois Urbana-Champaign AI agents are increasingly used to diagnose and mitigate failures in production systems, known as agentic Site Reliability Engineering…
• Roadmap on advanced and / real-time characterisation of solid state materials and devices for energy applications Imperial College London Abstract A strong societal and political drive is motivating the development and optimization of novel energy &amp;#xD;conversion and…
• Evaluate Sequential Interventions for Adaptive Water Management in Large River Basins University of Illinois Urbana-Champaign Abstract Integrated River Basin Management (IRBM) and Adaptive Water Management (AWM) have been widely promoted as guiding principles,…
• Training of particle-turbulence sub-grid-scale closures with just particle data University of Illinois Urbana-Champaign If sufficient training data are available, neural networks are attractive for representing missing physics in simulations, such as…
• Multiphoton‐Printed Microrobotic Arrays Powered by Discrete, Monolithically Integrated Hydrogel Actuators University of Illinois Urbana-Champaign Functional surfaces enable sensing, attachment, and read‐write capabilities in a range of robotic applications. For biomedicine,…
• Squeezy: Rapid VM Memory Reclamation for Serverless Functions National Technical University of Athens Resource elasticity is one of the key defining characteristics of the Function-as-a-Service (FaaS) serverless computing paradigm. While…
• Low-Resource Audio Codec (LRAC): 2025 Challenge Description Cisco Systems (China) While recent neural audio codecs deliver superior speech quality at ultralow bitrates over traditional methods, their practical adoption…
• Audio-Conditioned Diffusion LLMs for ASR and Deliberation Processing University of Illinois Urbana-Champaign Diffusion-based large language models (DLLMs) have recently attracted growing interest as an alternative to autoregressive decoders. In…
• Beyond Surface Statistics: Robust Conformal Prediction for LLMs via Internal Representations University of Illinois Urbana-Champaign Large language models are increasingly deployed in settings where reliability matters, yet output-level uncertainty signals such as…
• KAIROS: Stateful, Context-Aware Power-Efficient Agentic Inference Serving University of Illinois Urbana-Champaign Power has become a central bottleneck for AI inference. This problem is becoming more urgent as agentic AI emerges as a major workload…
• Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts Carnegie Mellon University AI creates and exacerbates privacy risks, yet practitioners lack effective resources to identify and mitigate these risks. We present…
• Virtual Minds, Real Work: LLM-Powered Preference-Based Planning through Spatial Multi-Agent-Human Collaboration University of Illinois Urbana-Champaign People frequently face preference-based planning tasks requiring balancing goals with nuanced constraints, yet even advanced LLMs demand…
• AudioGuard: Toward Comprehensive Audio Safety Protection Across Diverse Threat Models University of Illinois Urbana-Champaign Audio has rapidly become a primary interface for foundation models, powering real-time voice assistants. Ensuring safety in audio…
• Finite-time Reachability for Constrained, Partially Uncontrolled Nonlinear Systems University of Illinois Urbana-Champaign This paper presents a technique to drive the state of a constrained nonlinear system to a specified target state in finite time, when…
• Backward Fuzzy Driving Control for 6×4 Off-Road Vehicles University of Illinois Urbana-Champaign &lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Off-road autonomous vehicle systems must be able to operate…
• <tt>XSNAP</tt> : An X-Ray Supernova Analysis Pipeline with Application to the Type II Supernova 2024ggi University of Illinois Urbana-Champaign Abstract X-ray observations of Type II supernovae (SNe II) probe the physics of SN shocks and the mass-loss histories of their…
• Strain-tunable inter-valley scattering defines universal mobility enhancement in n- and p-type 2D TMDs University of Illinois Urbana-Champaign Strain fundamentally alters carrier transport in semiconductors by modifying their band structure and scattering pathways. In…
• A new algorithm to compute Bayes factors of order-constrained hypotheses about multiple binomials University of Illinois Urbana-Champaign This paper introduces the BF-Poly-H algorithm for computing Bayes factors for binomial models that are characterized by arbitrary linear…
• Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms University of Illinois Urbana-Champaign ABSTRACT Neural biocomputing is an emerging computing paradigm in which living neural networks serve as substrates for information…
• A Controllability Perspective on Steering Follow-the-Regularized-Leader Learners in Games University of Illinois Urbana-Champaign Follow-the-regularized-leader (FTRL) algorithms have become popular in the context of games, providing easy-to-implement methods for…
• Deep Reinforcement Learning: From Single-Agent to Multi-Agent University of Illinois Urbana-Champaign Deep Reinforcement Learning (DRL), a core branch of artificial intelligence, integrates the representational capabilities of deep…
• Where-to-Learn: Analytical Policy Gradient Directed Exploration for On-Policy Robotic Reinforcement Learning University of Illinois Urbana-Champaign On-policy reinforcement learning (RL) algorithms have demonstrated great potential in robotic control, where effective exploration is…

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