Tool Extension and Body Schema Manipulations in Virtual Environments (EECS-2026-278)
James Smith

Learning the Right Equivalences for Physical Interaction: Discovering and Using Structure from Experience (EECS-2026-277)
Derek Guo

Targeted Sampling for Prompt Optimization: Discovering Strong Candidates on Heterogeneous Data (EECS-2026-276)
Liheng Lai

BFG: An Open-Source Silicon Compiler for High-Performance Reconfigurable Fabrics (EECS-2026-275)
Arya Reais-Parsi

Aside: Think-Aloud Speech as Context for AI-Assisted Programming (EECS-2026-274)
Chetan Goenka

Quantum One-Time Programs (EECS-2026-271)
Bhaskar Roberts

Training Safe and Robust Agents for Open-Ended Multi-Agent Interaction (EECS-2026-270)
Niklas Lauffer

Inferring Structured Physical World Models (EECS-2026-269)
Shreyas Kapur

General Robot Manipulation with Multi-Modal Vision-Language-Action Models (EECS-2026-268)
Kevin Black

Building Generally Intelligent Robots (EECS-2026-267)
Homer Walke

Grounding What Matters: Reliable Causal Machine Learning for Public-Sector Decisions (EECS-2026-266)
Ezinne Nwankwo

Designing AI Approaches for Spoken Language Disorders (EECS-2026-265)
Jiachen Lian

Resolving Information Asymmetry in Multi-Agent Systems: Role of Dynamics and Incentives (EECS-2026-264)
Nivasini Ananthakrishnan

Human-Centric Design and Evaluation of AI Algorithms (EECS-2026-263)
Kunhe Yang

Closing the AI Accountability Gap : Audits and Evaluation in the Age of Artificial Intelligence (EECS-2026-261)
Inioluwa Raji

Variational Approaches to Path Problems in Deep Learning (EECS-2026-260)
Michael Psenka

Passivity Analysis of Population Games with Hybrid Learning Rules: A Compositional Result (EECS-2026-259)
Kevin Chang

Feedback-Driven Methods for Evaluating and Individualizing Treatments (EECS-2026-256)
Paula Gradu

Modulating Carrier Recombination and Transport in Emerging Nanomaterials (EECS-2026-255)
I K M Reaz Rahman

From Density to Speed: Velocity-Domain Traffic Modeling with Neural Finite Volume Methods (EECS-2026-254)
Zhe Fu

Algorithmic Methods For Efficient Deep Learning Inference on the Edge (EECS-2026-252)
Gur-Eyal Sela

Algorithm and Hardware Techniques for Nonlinear Least-Squares Problems in Computer Vision (EECS-2026-251)
Roger Hsiao

Designing Assurance Frameworks for Autonomous Systems (EECS-2026-248)
Sampada Deglurkar

Power System Operations and Planning under Uncertainty (EECS-2026-247)
Sunash Sharma

Mixing Times, Metastability and Quantum Advantage in Low Temperature Quantum Systems (EECS-2026-246)
Thiago Bergamaschi

Protecting Privacy and Security in the Era of Data: From Data Processing to Intelligent Agents (EECS-2026-245)
Xiaoyuan Liu

Askademia: Toward Real-Time Educational Video Intelligence (EECS-2026-244)
Meenakshi Mittal

Practical Witness Encryption Schemes and Applications (EECS-2026-243)
Guru Vamsi Policharla

Reliability and Performance Enhancement in Ultra-Scaled Advanced CMOS and Memory Devices (EECS-2026-242)
Dasom Lee

Large Language Models Meet Graphs (EECS-2026-241)
Yu Gai

Scaling Robot Learning with World Models and Real2Sim (EECS-2026-240)
Alejandro Escontrela Dieguez

Decoupling System Components for Performance Analysis and Usability in Computer Networks (EECS-2026-239)
Sarah McClure

Spatial Reasoning from Language Supervision (EECS-2026-238)
Sanjay Subramanian

CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models (EECS-2026-237)
Catherine Glossop, William Chen, Arjun Bhorkar, Dhruv Ileshkumar Shah and Sergey Levine

Interactive Learning for Markets: From Preferences to Prices (EECS-2026-236)
Yigit Efe Erginbas

Scalable and Faithful Interaction Attribution for Large Models (EECS-2026-235)
Justin Kang

Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live (EECS-2026-234)
Hanchen Li, Qiuyang Mang, Huanzhi Mao, Joseph Gonzalez and Ion Stoica

Towards Domain Adaptation, Deployment, and Interpretability in Large Language Models (EECS-2026-233)
Vinamra Benara

Large Language Models as Statistical Decision-Makers at Inference Time (EECS-2026-232)
Baihe Huang

Estimation Under Heterogeneity: Privacy & Robustness (EECS-2026-231)
Syomantak Chaudhuri

MAPS: Modular Agentic Planning and Search (EECS-2026-229)
Kayla Lee, Saner Cakir and Sinan Akcali

Wisdom of the Crowd: The Statistical Benefits of Aggregation (EECS-2026-227)
Ishaq Aden-Ali

Applications of Large Language Models to Computer Security (EECS-2026-226)
Aidan Wen

Applications of Large Language Models to Computer Security (EECS-2026-225)
Aidan Wen

Architectural Techniques for Scalable Specialization in GPUs (EECS-2026-224)
Hansung Kim

Mitigating Post-Training Effects on Generative Diversity in Language Models (EECS-2026-223)
Justin Wong

rLLM-FinQA: Domain-Specialized Reinforcement Learning for Agentic Financial Analysis (EECS-2026-222)
Manan Roongta

OPAL: Omnidirectional Path-efficient Aerial 3D expLoration (EECS-2026-221)
Yoga Satwik Chappidi

Multicore Superferromagnetic Iron Oxide Nanoparticles for High Resolution Magnetic Particle Imaging in Aqueous Media (EECS-2026-218)
Justin Garlepp

Q-Guided Action-Token Fine-Tuning for Vision-Language Agents (EECS-2026-215)
Gavin Zhang

So What's the Vibe? Data-Driven Diagnosis of Model Behavior (EECS-2026-214)
Lisa Dunlap

Toward Scalable and Self-Improving Large Language Model Agents (EECS-2026-213)
Xiuyu Li

Trustworthy Large Language Models (EECS-2026-212)
Will Cai

Verifiable Cyber-Physical Systems: Building Engineering Models for Deterministic and Predictable Concurrent Execution (EECS-2026-211)
Shaokai Lin

Learning Cellular States with Generalist Transformer Architectures (EECS-2026-210)
Dhruv Gautam

A Real-Time Control Application for Semi-Automatic MRI Motion Monitoring in Sleep Studies (EECS-2026-208)
Anjo Pagdanganan and Shreya Ramachandran

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution (EECS-2026-207)
Monishwaran Maheswaran

Building Open Source Inference Serving Systems (EECS-2026-206)
Simon Mo

Emitting BTOR2++: A CIRCT Flow for Hierarchy-Preserving Hardware Verification (EECS-2026-205)
Anto Kam

Exploring Execution Coherency in Hardware Ray Tracing Systems (EECS-2026-204)
Joshua You

Towards Scalable Robot Learning with Explicit 3D Representations and Embodied Coding Agents (EECS-2026-202)
Karim El-Refai

Semantically Aligned LLM-driven code Translation for RVV and Neon (EECS-2026-201)
Keagan Chern

Teaching Within a Sociotechnical Ecosystem: Teaching Assistants as Tool Developers and Facilitators of Critical Education (EECS-2026-200)
Abigail Brooks-Ramirez

Alignment Challenges in Educational AI (EECS-2026-199)
Kanav Mittal

Perceptually Grounded Modeling and Modification of Speaker Identity (EECS-2026-198)
Robert Netzorg

Investigations in Sparse Boltzmann Machine Training (EECS-2026-197)
Lucas Ericsson

Beyond the Autograder: Improving Feedback on CS Student Metacognition via the Assignment Snapshots Tool (EECS-2026-196)
Rebecca Dang

Learning to Solve Long-Horizon Tasks with Formal Logic and Structured Feedback (EECS-2026-194)
Ameesh Shah

Faithful Auto-formalization for Education (EECS-2026-193)
Arnav Mehta

Clock to Data Lane Deskew in Chiplet SerDes (EECS-2026-192)
Jessica Fan

MilOH: Supporting Teaching Assistants with Retrieval-Augmented Guidance in Office Hours (EECS-2026-190)
Sarah Kiefer

JupyTutor: The Design, Evaluation, and Behavioral Trends of an Integrated AI Tutor for Jupyter Notebooks (EECS-2026-188)
Kevin Gillespie

Adversarial Attacks and Defenses for Autonomous Vehicles (EECS-2026-186)
Phillip Chen

Ambient AI Scribes and the Transformation of Clinical Notes in the Electronic Health Record (EECS-2026-185)
Erin Tan

Dynamical Modeling and Control of the Flying Capacitor Multilevel Converter in High-Density, High-Efficiency AC/DC and DC/AC Applications (EECS-2026-184)
Rod Bayliss

Designing and Deploying Faded Parsons Problems for Scalable, Mastery-Based Software Engineering Education (EECS-2026-183)
Serena Caraco

Analysis and Operation of Flying Capacitor Multilevel Converters: Single-Phase Applications and Fundamental Electromagnetic Interference Scaling (EECS-2026-182)
Francesca Giardine

Characterizing SD-SPI: From Physical Latency to Streaming File System Reconstruction (EECS-2026-181)
Paul de La Sayette

Power Dense DC-DC Converters for Electric Transportation: Design Optimization and Practical Considerations (EECS-2026-180)
Sahana Krishnan

Interpreting and Controlling Generative Models (EECS-2026-178)
Grace Luo

KVAlign: A Quality-Preserving Method for Inter-Layer KV Cache Sharing (EECS-2026-177)
Ray Wan

Toward Stateful Execution Interfaces for Language Model Agents (EECS-2026-176)
Joseph Gonzalez

Memory-Efficient LLM Inference Algorithms (EECS-2026-175)
Coleman Hooper

Overtone Piezoelectric Resonators for Power Conversion (EECS-2026-174)
Wentao Xu

RAVEN: A RISC-V Aerial Vehicle for Hardware-Software Co-Design in Edge Navigation (EECS-2026-173)
John Lomax

Learning to Grasp Anything by Playing with Random Toys (EECS-2026-172)
Anirudh Pai, Dantong Niu, Trevor Darrell and Jitendra Malik

Robotic Motion Planning Across the Stack: From Silicon to Decentralized Algorithms (EECS-2026-171)
Minh Nguyen

Synthesis-Enabled Reasoning: Scalable Automated Formal Verification for Hardware-Software Security (EECS-2026-170)
Adwait Godbole

Aspects of Local Time Processes with Applications (EECS-2026-169)
Devon Ding

Accounting for Data Shifts in Vision Models (EECS-2026-168)
Devin Guillory

Automating Hardware and Software Optimization for Tensor Processing Accelerators (EECS-2026-167)
Charles Hong

Responsible Language Model Design for Complex Populations (EECS-2026-166)
Eve Fleisig

From Simulation to Reality: An End-to-End Pipeline for Reproducible Robot Learning (EECS-2026-163)
Kevin Zakka

Made-ya-look: Diffusion-Based Gaze Manipulation in Natural Images (EECS-2026-162)
Alonso Martinez and Tianshuang Qiu

Decoupling Retinal Input from its Physiological Constraints (EECS-2026-160)
Hannah Doyle

Synthesizing Executable Specifications to Improve AI Programming Agents (EECS-2026-158)
Naman Jain

User Simulation via Language Models (EECS-2026-157)
Josh Kang

On Small Space Computation (EECS-2026-155)
Hongxun Wu

Semantic-Aware Guided Drone Exploration for Indoor Environments (EECS-2026-154)
Nitin Vegesna

Reinforcement Learning with Action Chunking Policies (EECS-2026-153)
Qiyang Li

Latent Implicit Visual Reasoning (EECS-2026-151)
Chuyi Shang

Evaluating and Improving Autonomous AI Agents for Secure and Private Deployment (EECS-2026-149)
Alp Eren Ozdarendeli

AI-Assisted Signal Extraction and Misuse Detection in Internet Systems (EECS-2026-142)
Julien Piet

Privacy and Adaptivity Considerations in Modern Data Analysis (EECS-2026-141)
Xin Lyu

Inference Alignment for Discrete Diffusion Models via Targeted Sequence Editing (EECS-2026-140)
Shai Dickman

Learned Hardware Explorers: Enabling Comprehensive Design Space Exploration with Machine Learning (EECS-2026-139)
Ronit Nagarapu

Robustness of Neural Network Controllers (EECS-2026-135)
Neelay Junnarkar

Modeling and Verification of Autonomous-Racing Systems with Scenic, VerifAI, and dSPACE (EECS-2026-134)
Lawrence Shieh

Scaling Hardware Formal Verification (EECS-2026-133)
Anish Dhanashekar

Emmy: The Search for Distributed Robustness through Algebraic Properties via Fuzz Testing and Bounded Model Checking (EECS-2026-132)
Nathaniel Macasaet

Security, Privacy, and Provenance for Generative AI (EECS-2026-126)
Jaiden Fairoze

Threshold Anonymous Credentials with Silent Setup (EECS-2026-124)
Esha Garg, Sanjam Garg, Guru Vamsi Policharla and Bhaskar Roberts

Task Decomposition with Multi-Agent Systems (EECS-2026-123)
Long Lian

Vision Models That See 10 Billion Pixels at Once (EECS-2026-122)
Baifeng Shi

Recovering Drifted Neural Networks on Ferroelectric Crossbars: An 8-Bit Algorithm and a Simulation Interface (EECS-2026-121)
Junlajak Jongpipattanakul

Towards Understanding and Improving Large Language Model Reasoning (EECS-2026-119)
Hanlin Zhu

Towards Efficient and Scalable Robot Learning: Trajectory Pre-training, Synthetic Data, and Coding Agents (EECS-2026-118)
Letian Fu

Sampling in Statistical Inference and Machine Learning (EECS-2026-117)
David Wu

Training LLM Agents to Empower Humans (EECS-2026-116)
Evan Ellis, Vivek Myers, Jens Tuyls, Sergey Levine, Anca Dragan and Ben Eysenbach

Silicon Microring Resonator Design for Monolithic Electronic–Photonic Biosensing System (EECS-2026-115)
Hyeong Seok Oh and Vladimir Stojanovic

Moving Computation From Pretraining to Test-time (EECS-2026-114)
Charlie Snell

Inferring Perturbation Effects on Gene Regulation and Disease (EECS-2026-113)
Ruchir Rastogi

Inferring Perturbation Effects on Gene Regulation and Disease (EECS-2026-112)
Ruchir Rastogi

Modeling and Interpreting Genome Evolution at Multiple Timescales (EECS-2026-111)
Milind Jagota

Point Track Prediction Models Enable Imitation from Action-less Datasets (EECS-2026-110)
Aryan Jain and Pieter Abbeel

Articulatory Voice-to-Instrument Timbre Transfer in Real-Time with Audio-Conditioned DDSP (EECS-2026-109)
David Babazadeh

Wearable, Integrated Sparse-SPECT for Continuous, Real-Time Dosimetry in Cancer Radiopharmaceutical Therapy (EECS-2026-108)
Rahul Lall

A 140 GHz FMCW Radar with RF Self-Interference Cancellation (EECS-2026-107)
Yikuan Chen

Scalable and Accurate Models of Molecular Evolution (EECS-2026-106)
Sebastian Prillo

Fundamental Resolution Limits of Magnetic Particle Imaging (EECS-2026-105)
Chinmoy Saayujya

Enhancing User Interface Design Tools with AI-Driven Evaluation (EECS-2026-104)
Peitong Duan

Metal Pad Sensing: Theory, Application, Design, and Algorithms (EECS-2026-103)
Alan Dong

Eco-friendly and Scalable Fabrication of Organic Optoelectronic Sensors (EECS-2026-102)
Jasmine Jan

Accelerated Modeling of Electronic Devices using Graph Neural Networks (EECS-2026-101)
Krishnakumar Bhattaram, Pratik Brahma and Sayeef Salahuddin

Meta-learning for evolutionary-based protein property prediction (EECS-2026-100)
Arthur Deng

Learning Factorizable Representation for Dynamical Visual Scene (EECS-2026-99)
Zeyu Yun and Bruno Olshausen

Wideband and Energy-Efficient Millimeter-Wave to Sub-THz CMOS Receivers and LO Generation for High-Capacity Wireless Communications (EECS-2026-98)
Ethan Chou

Deep Reinforcement Learning for Autonomous Vehicle Traffic Control and Stabilization: From Simulation to a 100-Vehicle Highway Field Deployment (EECS-2026-96)
Nathan Lichtle

Algorithmic Pursuits of Structure: Monotone Operators, Robust Estimation, and Automated Discovery (EECS-2026-95)
Zihao Chen

Agentic Test-Time Scaling for Web Agents (EECS-2026-75)
Lutfi Eren Erdogan

Embodied Intelligence from Autonomous Experience (EECS-2026-53)
Toru Lin

Scaling Environments and Verifiers for Software Engineering Agents (EECS-2026-52)
Manish Shetty

Tungsten Oxide Adhesion Layer for Low Resistance Hole Contacts to WSe2 (EECS-2026-50)
Dorottya Urmossy

Confidence-Aware Planning for the Safe Deployment of Deep Learning-Enabled Robot Navigation Systems (EECS-2026-48)
Sara Pohland

Representation Learning for Efficient Localized Image Retrieval (EECS-2026-26)
Lucas Jaffe

Digital Calibration of Voltage-Controlled Oscillator (VCO) Nonlinearity using a Delta-Sigma DAC (EECS-2026-25)
Ashwin Rammohan

Scalable and Efficient Systems for Large Deep Learning Models (EECS-2026-24)
Lianmin Zheng

BeeGees: Stayin' Alive in Chained BFT (EECS-2026-21)
Neil Giridharan, Florian Suri-Payer, Matthew Ding, Heidi Howard, Ittai Abraham and Natacha Crooks

Scaling of Single-Mode Operation in Lasers (EECS-2026-20)
Rushin Contractor

Adaptive Sparse Möbius Transforms for Learning Polynomials (EECS-2026-19)
Yigit Efe Erginbas

Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free (EECS-2026-18)
Thomas Courtade and Syomantak Chaudhuri

Terminal Velocity Matching (EECS-2026-17)
Linqi Zhou, Mathias Parger, Ayaan Haque and Jiaming Song

RTeAAL Sim: Using Tensor Algebra to Represent and Accelerate RTL Simulation (EECS-2026-15)
Yan Zhu

Understanding Misalignment in AI Agents (EECS-2026-13)
Alexander Pan

Wearable optical-electrical skin sensing platform for sweat gland dynamics monitoring (EECS-2026-10)
Yifei Zhan and Ali Javey

Machine Learning-Based Prediction of Maternal Morbidity across Heterogeneous Populations in the United States using Sequential Modeling of the All of Us Dataset (EECS-2026-9)
Haojun Zhuang, Irene Chen and Aditya Parameswaran

Insta-Pok3r: Real-time On-Chain Poker (EECS-2026-7)
Sanjam Garg, Aniket Kate, Pratyay Mukherjee, Rohit Sinha and Sriram Sridhar

Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors (EECS-2026-6)
Nikita Mehandru and Niloufar Salehi

Generalizable and Scalable Robot Learning in the Physical World (EECS-2026-4)
Fangchen Liu

Collaborative Language Agents (EECS-2026-2)
Jessy Lin

Indoor Asset Detection in Large Scale 360° Drone-Captured Imagery via 3D Gaussian Splatting (EECS-2026-1)
Monica Tang

Toward Scalable Short-Reach DWDM Optical Links (delayed)
Sunjin Choi, Vladimir Stojanovic and Borivoje Nikolic

Graph-Based Dependency Analysis for Scalable Matrix Factorizations: Parallelism and Communication Avoidance (delayed)
Tianyu Liang

A Kilowatt-Scale Thermal Test Vehicle for Data Center Cooling Solutions (delayed)
Tahmid Mahbub

Soft Wearable Electronic Systems for Electrophysiology Monitoring (delayed)
Yuhan Wen

Conditional Generative Modeling for Biomolecular Design (delayed)
Bear Xiong

Design Considerations for Next-Generation High-Speed Serial Links (delayed)
Bob Zhou

Compact Nonlinear RF Tags for Physiological Sensing in MRI (delayed)
Jack Kang

Neural Emergence and Plasticity of Color Dimensionality in Human Visual Perception (delayed)
Atsunobu Kotani

Minimally Perturbative Electrical Injection for Scalable Photonic Crystal Surface-Emitting Lasers (delayed)
Md Ishfak Tahmid

Fast Agentic RTL Discovery: FPGA-Accelerated Evolutionary Search for Hardware Designs (delayed)
Junha Kim

Millimeter-wave Class-F Standing Wave Oscillators and Microwave Inverse Design Techniques (delayed)
Wei-Yu Lin

Sparse Differentiable Gaussian Voxelization for Large-Scale Volumetric Microscopy (delayed)
Qijun Li

Limits of Efficient Algorithms in the Worst and Average Cases (delayed)
Ansh Nagda

An Implantable Fluorescence Imager for Monitoring Response to Cancer Immunotherapy (delayed)
Micah Roschelle

Accelerating Quantum Lattice Problem Calculations (delayed)
Natalie Chi

Soft Pouch Multi Segment Robot for Surgical Applications (delayed)
Eugene Ng

Single-Step Reinforcement Learning Framework for Efficient Analog Circuit Sizing Optimization (delayed)
Chun-Yen Wu

Performance and Scalability of Binary and Ternary Blends in Organic Solar Cells (delayed)
Carla Benato Milsted and Ana Claudia Arias

A Study of Ferroelectric Dynamic Read Memory (delayed)
Junhao Chen

Tight-binding theory for Berkeley Surface-Emitting Lasers (BerkSELs) (delayed)
Christos Papapanos and Matteo Seclì

Algorithms to Simulate the Evolution of Decision-Making in Dynamic Environments (delayed)
Lucas Waldburger

BlendServe: Optimizing Offline Inference with Resource-Aware Batching (delayed)
Yilong Zhao and Ion Stoica