Ray's Blog

News

activity

Sep 16,2026

📅 2026 DOE LDRD Annual Meeting 📍 Jefferson Lab, Newport News, VA

activity

Sep 14,2026

📅 Invited Talk, 28th International Conference on the Application of Accelerators in Research and Industry (CAARI)

activity

Aug 20,2026

📅 ARCHIDE 2026 Workshop on Architecture Design for HPC and Scientific Edge Computing, 📍 Berkeley, CA

activity

Aug 04,2026

2026 SciDAC PI Meeting 📍 Rockville, MD

activity

Jul 26,2026

DAC 2026 (Design Automation Conference), 📍 Long Beach, CA

activity

Jul 22,2026

Genesis Mission Summit 2026 📍 Washington, DC

grant

Jul 22,2026

🏆 PI, Genesis Mission "MARS: Scaling Multi-Agent Reinforcement Learning for Scientific Hypothesis Generation" awarded

grant

Jul 22,2026

🏆 Co-PI, Genesis Mission "An AI-Native EDA Framework for Physics-Based Microelectronics Co-Design" awarded with PI Soumyajit Mandal

grant

Jul 22,2026

🏆 Co-PI, Genesis Mission "AI-4-Gyrotron: Accelerating ECH Technology Delivery for Nuclear Fusion" awarded with PI Syun'ichi Shiraiwa

activity

Jul 21,2026

2026 ASCR CS PI Meeting 📍 Rockville, MD

publication

Jul 19,2026

"A Roadmap Toward Scaling, Reasoning and Self-Evolving Foundation Models for Nuclear and Particle Physics" published in International Journal of Modern Physics A

publication

Jul 19,2026

"A Multi-Functional Streaming Readout ASIC With Channel-Embedded DSP and Neural Inference" published in IEEE Transactions on Circuits and Systems I: Regular Papers

activity

Jul 06,2026

Presenting AutoSizer Poster in ICML 2026 📍 Seoul, South Korea

activity

May 12,2026

Presenting AmSC Demo B: AI-driven Real-time Nuclear and Particle Physics, ConFab2026, 📍 Rockville, MD

publication

May 12,2026

"Conditional diffusion machine-learning framework for mapping valence electron distribution from convergent beam electron diffraction" published in Phys. Rev. Mater.

activity

May 07,2026

Talk: AI for Microelectronics and Analog Circuit Design, 📍 AI+ Expo DOE Booth, Washington DC

publication

May 01,2026

"AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents" has been accepted by ICML 2026! 🎉

activity

Apr 14,2026

Event-based Video Surveillance Camera at the Edge,📍 NSARD 2026, Upton, NY

publication

Apr 01,2026

"Diffusion Model-Based Parameter Estimation in Dynamic Power Systems" published in Communications Engineering

activity

Feb 02,2026

Lightning Talk at Energy Consequences of Information Workshop,📍 Santa Fe, NM

publication

Feb 01,2026

"FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics" has been accepted by ICLR 2026! 🎉

publication

Feb 01,2026

"CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process" has been accepted by ICLR 2026! 🎉

activity

Jan 30,2026

DOE-MEXT Winter Meeting 2026, 📍 RIKEN IIB, Kobe, Japan

activity

Jan 20,2026

ASCR REDWOOD Project All Hands Meeting, 📍 University of Massachusetts (Amherst), MA

activity

Dec 08,2025

ModCon All Hands Hackathon, 📍 Argonne National Laboratory, IL

activity

Nov 17,2025

The International Conference of Supercomputing (SC25), 📍 St. Louis, MO

activity

Oct 27,2025

Convener at 4th AI4EIC 📍 MIT, Cambridge, MA

activity

Oct 21,2025

2025 International Conference on Computer Vision (ICCV) 📍 Honolulu, HI

activity

Oct 20,2025

Invited speaker at APS DNP AI 4 experiment workshop at 📍 Chicago, IL

activity

Sep 23,2025

AI Edge Symposium GE Vernova 📍 Niskayuna, NY

activity

Sep 16,2025

Poster, 2025 SciDAC PI Meeting 📍 Rockville, MD

activity

Sep 11,2025

Track convener, New York Scientific Data Summit 📍 SUNY Global Center, NYC

activity

Sep 05,2025

Invited talk (virtual), European Coalition for AI in Fundamental Physics (EuCAIF) 📍 TUM-IAS, Germany

activity

Aug 21,2025

ARCHIDE: 2nd Workshop on Architecture Design Methodologies and Ecosystems for HPC and Scientific Edge Computing 📍 LBNL, CA

publication

Aug 19,2025

"FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics" has been distributed on arxiv

publication

Aug 19,2025

"Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing" published in Future Generation Computer Systems

publication

Aug 01,2025

"EvRT-DETR: The surprising effectiveness of DETR-based detection for event cameras" has been accepted by ICCV 2025

activity

Jun 02,2025

Invited talk, 2nd SCSP AI Expo DOE Booth 📍 Washington, D.C.

grant

Apr 15,2025

🏆 PI, LDRD-D 25-045 "FM4NPP Foundation Models for Nuclear and Particle Physics" awarded

activity

Mar 24,2025

DOE ASCR CS PI Meeting 📍 Frisco, TX

activity

Jan 20,2025

Invited talk (virtual) ePIC Collaboration Meeting

activity

Dec 02,2024

12th Streaming Readout Workshop SRO-XII 📍 Tokyo University

activity

Nov 17,2024

SC24 📍 Atlanta, GA

publication

Oct 23,2024

"Unpaired image translation to mitigate domain shift in liquid argon time projection chamber detector responses" published in Machine Learning: Science and Technology (MLST)

activity

Oct 07,2024

NVIDIA AI Summit 📍 Washington, D.C.

publication

Oct 01,2024

"AI Surrogate Model for Distributed Computing Workloads" SC24-W

publication

Sep 26,2024

"Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments" published in Phys. Rev. C

activity

Sep 11,2024

DOE ASCR Analog Computing workshop 📍 Bethesda, MD

grant

Sep 01,2024

🏆 Co-PI, LDRD-B 25-026 "Real time learning on heterogeneous devices for detector calibration" awarded with PI Haider Abidi

activity

Jul 21,2024

Invited Speaker 27th CAARI & 55th SNEAP 📍 Fort Worth, TX

grant

Jul 08,2024

🏆 PI, LDRD-A 25-041 awarded "AI-Circuit-Materials Co-Design for Mitigating Memristive Stochasticity"

activity

May 07,2024

Invited speaker 1st SCSP AI Expo DOE Booth 📍 Washington, D.C.

activity

Apr 15,2024

DOE NNSA NSARD 2024 📍 ANL, Lemont, IL

activity

Mar 10,2024

Convener ACAT 2024 📍 SBU, Stony Brook, NY

activity

Feb 05,2024

DOE SC AI Roundtable 📍 Gaithersburg, MD

activity

Feb 01,2024

DOE ASCR CS PI Meeting 📍 Atlanta, GA

activity

Nov 12,2023

Honorable Mention Paper Award in DRBSD-9 SC23 📍 Denver, CO

activity

Jan 01,2023

Presenting a poster in WACV 2023 📍 Waikoloa, HI

activity

Nov 01,2022

SC22 📍 Dallas, TX

publication

Oct 01,2022

"UVCGAN: UNet Vision Transformer Cycle-Consistent GAN for Unpaired Image-to-Image Translation" published in WACV 2023

grant

Sep 29,2022

🏆 Co-PI, LDRD-A 23-048 "Real-time Information Distillation on Novel AI Hardware" awarded with PI Jin Huang

activity

Jul 17,2022

2022 Snowmass Summer Meeting 📍 Seattle, WA

activity

Jun 01,2022

DOE ASCR AI for Science and Security Workshop 3 📍 BSU, Bowie, MD

grant

Apr 09,2021

🏆 Co-PI, LDRD-B 22-018 "Real-time Image Classification using Machine Learning" awarded with PI Elizabeth C. Brost

grant

Oct 05,2020

🏆 Co-PI, LDRD-A 21-023 "Towards Edge Computing: A Software and Hardware Co-Design Methodology for ASIC-based Scientific Neuromorphic Computing" awarded with PI Sandeep Miryala

grant

Oct 05,2020

🏆 PI, LDRD-A 21-029 "Bridging the Gap between Scientific Simulations and Experiments with Cycle-Consistent Generative Models"

Publications

Variable Rate Neural Compression for Sparse Detector Data

Cell Patterns 2026 Artificial Intelligence Codesign

Yi Huang Yeonju Go Jin Huang others Yihui Ren others

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting

arXiv:2503.21588 2025 Artificial Intelligence Physics

Guang Zhao Xihaier Luo Seungjun Lee Yihui Ren Shinjae Yoo others

Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks

ICLR 2024 2024 Artificial Intelligence

Xihaier Luo Wei Xu Yihui Ren Shinjae Yoo Balu Nadiga

Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators

2024 IEEE VTS 2024 Artificial Intelligence Codesign

Sanjay Das Shamik Kundu Anand Menon Yihui Ren Shubha Kharel Kanad Basu

Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence

arXiv:2407.14560 2024 Artificial Intelligence Codesign

Shubha R Kharel Prashansa Mukim Piotr Maj others Yihui Ren Soumyajit Mandal

Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems

arXiv:2411.10431 2024 Artificial Intelligence

Feiqin Zhu Dmitrii Torbunov Yihui Ren Zhongjing Jiang others Meng Yue

Efficient compression of sparse accelerator data using implicit neural representations and importance sampling

arXiv:2412.01754 2024 Artificial Intelligence Codesign

Xihaier Luo Samuel Lurvey Yi Huang Yihui Ren Jin Huang Byung‑Jun Yoon

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures

Conference on Computing in High Energy and Nuclear Physics (CHEP) 2024 Artificial Intelligence High Performance Computing

Ozgur O Kilic David K Park Yihui Ren Tatiana Korchuganova Sairam Sri Vatsavai others

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation

WACV 2023 2023 Artificial Intelligence

Dmitrii Torbunov Yi Huang Haiwang Yu others Yihui Ren

Rethinking cyclegan: Improving quality of gans for unpaired image-to-image translation

arXiv:2303.16280 2023 Artificial Intelligence

Dmitrii Torbunov Yi Huang Huan-Hsin Tseng Haiwang Yu others Yihui Ren

Experiences

Brookhaven National Laboratory

May 2018 - present

Upton, NY

Brookhaven National Laboratory (BNL) is a United States Department of Energy national laboratory located in Upton, New York, established in 1947. I joined the Machine Learning Group (MLG) in 2018. The group has been designated as the AI Department in 2025.

Senior Computational Scientist (AI/ML) RS6

Jan 2026 - present

Responsibilities:

AI Codesign Group Lead
Lead several research projects such as event-based camera and Agentic AI for circuit design

Computational Scientist (AI/ML) RS5

Jan 2024 - Dec 2025

Responsibilities:

AI Codesign Group Lead
Lead several research projects such as building a scalable foundation model for nuclear and particle physics

Associate Computational Scientist (AI/ML) RS4

Oct 2021 - Jan 2024

Responsibilities:

Deputy Machine Learning Group Lead
AI tech lead in multiple projects including unpaired and unsupervised domain mapping techniques to bridge the gap between scientific simulation and experimental data

Assistant Computational Scientist (AI/ML) RS3

Aug 2019 - Nov 2021

Responsibilities:

Developed graph neural network-based molecule fingerprinting methods for combating COVID-19.
Developed efficient neural compression methods for sparse nuclear physics detector data.

Postdoctorate Research Associate (AI/ML)

May 2018 - July 2019

Responsibilities:

Developed deep learning object detection method for nuclear non-proliferation.
Benchmared AI workloads on cutting-edge AI hardware including NVIDIA DGX2.

Virginia Tech

Apr 2015 - Apr 2018

Blacksburg, VA

Biocomplexity Institute at Virginia Tech was a multidisiplinary research institute specialized in agent-based modeling, theoretical modeling and high-performance computing.

Postdoctoral Research Associate

Apr 2015 - Apr 2018

Responsibilities:

Connected Moore-Shannon Network Reliability with Ising Model in condensed matter physics.
Developed probablisitic agent-based modeling for human behaviro and epidemics.

		Hunan University 2005-2009 B.Sc. in Physics
		University of Notre Dame 2010-2015 Ph.D in Physics Publications: Predicting commuter flows in spatial networks using a radiation model based on temporal ranges

Hi, I am Ray

Yihui (Ray) Ren

Senior Computational Scientist (AI/ML) at Brookhaven National Laboratory

News

Publications

Variable Rate Neural Compression for Sparse Detector Data

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting

Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks

Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators

Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence

Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems

Efficient compression of sparse accelerator data using implicit neural representations and importance sampling

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation

Rethinking cyclegan: Improving quality of gans for unpaired image-to-image translation

Transferable graph neural fingerprint models for quick response to future bio-threats

Fast 2D bicephalous convolutional autoencoder for compressing 3D time projection chamber data

A Bayesian deep learning approach to near-term climate prediction

Waveform processing using neural network algorithms on the front-end electronics

Perturbative methods for mostly monotonic probabilistic satisfiability problems

Smart sensors using artificial intelligence for on-detector electronics and ASICs

Peak prediction using multi layer perceptron (MLP) for edge computing ASICs targeting scientific applications

Design and challenges of edge computing ASICs on front-end electronics

Zero or Infinite Data? Knowledge Synchronized Machine Learning Emulation

Augmented signal processing in Liquid Argon Time Projection Chambers with a deep neural network

Feature importance in a deep learning climate emulator

Efficient data compression for 3D sparse tpc via bicephalous convolutional autoencoder

Training a Large-Scale 3D Convolutional Neural Network Predicting Human Intelligence in Adolescent Brain Cognitive Development Study

Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework

Targeting SARS‑CoV‑2 with AI‑ and HPC‑enabled lead generation: A first data release

Data analysis and modeling pipelines for controlled networked social science experiments

Performance analysis of deep learning workloads on leading-edge systems

Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games

Determining whether a class of random graphs is consistent with an observed contact network

Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments

Generative modeling of human behavior and social interactions using abductive analysis

An approach to structural analysis using Moore-Shannon network reliability

Hybrid Agent-Based Modeling Of Zika In The United States

From network reliability to the Ising model: A parallel scheme for estimating the joint density of states

Betweenness centrality and its applications from modeling traffic flows to network community detection

Predicting commuter flows in spatial networks using a radiation model based on temporal ranges

A Multi-Functional Streaming Readout ASIC With Channel-Embedded DSP and Neural Inference

Conditional diffusion machine-learning framework for mapping valence electron distribution from convergent beam electron diffraction

AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents

Diffusion Model-Based Parameter Estimation in Dynamic Power Systems

A Roadmap Toward Scaling, Reasoning and Self-Evolving Foundation Models for Nuclear and Particle Physics

CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics

EvRT-DETR: The surprising effectiveness of DETR-based detection for event cameras

Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing

Unpaired image translation to mitigate domain shift in liquid argon time projection chamber detector responses

AI surrogate model for distributed computing workloads

Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments

Education

Hunan University

B.Sc. in Physics

University of Notre Dame

Ph.D in Physics

Publications:

Experiences

Brookhaven National Laboratory

Senior Computational Scientist (AI/ML) RS6

Responsibilities:

Computational Scientist (AI/ML) RS5

Responsibilities:

Associate Computational Scientist (AI/ML) RS4

Responsibilities:

Assistant Computational Scientist (AI/ML) RS3

Responsibilities:

Postdoctorate Research Associate (AI/ML)

Responsibilities:

Virginia Tech

Postdoctoral Research Associate

Responsibilities: