Publications
Type
Area
![](https://a3d3.ai/wp-content/uploads/2023/07/header-1024x494.png)
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-2.jpg)
hls4ml: low latency neural network inference on FPGAs
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-Image-1.jpg)
Graph Neural Network-based Track finding as a Service with ACTS
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-Image-1.jpg)
NSF HDR ML Anomaly Detection Challenge
![](https://a3d3.ai/wp-content/uploads/2024/05/A-search-for-binary-mergers-in-archival-LIGO-data-using-aframe-a-machine-learning-detection-pipeline.png)
A search for binary mergers in archival LIGO data using aframe, a machine learning detection pipeline
![](https://a3d3.ai/wp-content/uploads/2024/05/A-machine-learning-pipeline-for-real-time-detection-of-gravitational-waves-from-compact-binary-coalescences-talk-1024x768.png)
A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image.jpg)
Energy Frontier Exploration using Particle Physics and AI
![](https://a3d3.ai/wp-content/uploads/2024/05/pipeline_far_comparison.png)
A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences
![](https://a3d3.ai/wp-content/uploads/2024/05/f5fffbe1-5b63-47eb-9309-7674f5e87146-spark-clipboard-1024x907.png)
Point Transformer V3: Simpler, Faster, Stronger
![](https://a3d3.ai/wp-content/uploads/2024/05/e9532628-9b59-4440-890a-1382118d3d1a-spark-clipboard-1024x747.png)
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
![](https://a3d3.ai/wp-content/uploads/2024/05/d26d0078-92fa-4159-abd3-adc21e81a7c5-spark-clipboard-1024x625.png)
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
![](https://a3d3.ai/wp-content/uploads/2023/07/header-1024x494.png)
Uncertainty Quantification and Anomaly Detection with Evidential Deep Learning
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image.jpg)
Ultra Fast Transformers on FPGAs for Particle Physics Experiments
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-Image-1.jpg)
Ultra Fast Transformers on FPGAs for Particle Physics Experiments
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image.jpg)
The Stability of Positional Encodings for Graphs
![](https://a3d3.ai/wp-content/uploads/2024/05/Supernova-Neutrino-Burst-Detection-with-Mineral-Detectors-1024x1016.png)
Supernova Neutrino Burst Detection with Mineral Detectors
![](https://a3d3.ai/wp-content/uploads/2023/07/header-1024x494.png)
On the Stability of Expressive Positional Encodings for Graphs
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-4.jpg)
Neuroscience ML challenges using CodaBench: Decoding multi-limb trajectories from two-photon calcium imaging
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image.jpg)
High Pileup Particle Tracking with Object Condensation
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-Image-1.jpg)
FPGA Deployment of LFADS for Real-time Neuroscience Experiments
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-3.jpg)
Explainable AI for Interpretability of Neural Networks
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-2.jpg)
Evaluating the Quality of HLS4ML’s Basic Neural Network Implementations on FPGAs
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-3.jpg)
Deep Learning Applications for Particle Physics in Tracking and Calorimetry
![](https://a3d3.ai/wp-content/uploads/2024/05/The-ZTF-Source-Classification-Project-III.-A-Catalog-of-Variable-Sources-1024x493.png)
The ZTF Source Classification Project: III. A Catalog of Variable Sources
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image.jpg)
Quantifying the Efficiency of High-Level Synthesis for Machine Learning Inference
![](https://a3d3.ai/wp-content/uploads/2023/07/header-1024x494.png)
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-4.jpg)
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture29.jpg)
Machine Learning Acceleration — Quantization Process and Tools Development
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture23.png)
Machine Learning acceleration in the Global Event Processor of the ATLAS Trigger Update
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture22.png)
Accelerating CNNs on FPGAs for Particle Energy Reconstruction
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture1-1.png)
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-122234.png)
Portable Acceleration of CMS Mini-AOD Production with Coprocessors as a Service
![](https://a3d3.ai/wp-content/uploads/2023/11/Jet.png)
Jets as sets or graphs: Fast jet classification on FPGAs for efficient triggering at the HL-LHC
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture11.png)
MLPF: Machine Learning for Particle Flow
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture10.png)
Scalable neural network models and terascale datasets for particle-flow reconstruction
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture9.png)
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture8.png)
ACTS as a Service
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-120324.png)
FKeras: A Sensitivity Analysis Tool for Edge Neural Networks
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-120119.png)
ScaleHLS, a Scalable High-level Synthesis Framework with Multi-level Transformations and Optimizations
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture7.png)
AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture6.png)
Track reconstruction for the ATLAS Phase-II High-Level Trigger using Graph Neural Networks on FPGAs
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture5.png)
FPGA Deployment of LFADS for Real-time Neuroscience Experiments
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-114739.png)
Quantifying the Efficiency of High-Level Synthesis for Machine Learning Inference
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-114517.png)
Fast ML in the NSF HDR Institute: A3D3
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture3-1.png)
Community Vision, Needs, and Progress
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-113406.png)
ZTF SCoPe: A Catalog of Variable Sources
![](https://a3d3.ai/wp-content/uploads/2023/11/Picture2.png)
GWAK: Gravitational-Wave Anomalous Knowledge with Recurrent Autoencoders
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-112627.png)
Parameter estimation using Likelihood-free Inference
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-112330.png)
BEVFusion-R: Efficient and Deployment-Ready Camera-Radar Fusion
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-111957.png)
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-111627.png)
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-111301.png)
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation
![](https://a3d3.ai/wp-content/uploads/2023/11/Screenshot-2023-11-27-105351.png)
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
![](https://a3d3.ai/wp-content/uploads/2023/11/105138-v2.png)
Structural Re-weighting Improves Graph Domain Adaptation
![](https://a3d3.ai/wp-content/uploads/2023/03/2303.17657.png)
Progress towards an improved particle flow algorithm at CMS with machine learning, 2023, ACAT
![](https://a3d3.ai/wp-content/uploads/2023/07/header-1024x494.png)
Semi-supervised Graph Neural Networks for Pileup Noise Removal, 2022, NeurIPS AI4Science, EPJC
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-4.jpg)
Interpretable Geometric Deep Learning via Learnable Randomness Injection, 2023, ICLR
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-4.jpg)
Neighborhood-aware Scalable Temporal Network Representation Learning, 2022, LoG
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-Image-1.jpg)
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning, 2022, VLDB
![](https://a3d3.ai/wp-content/uploads/2022/07/Screenshot-2023-11-27-103707.png)
TorchSparse++: Efficient Point Cloud Engine
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-2.jpg)
NMMA: A nuclear-physics and multi-messenger astrophysics framework to analyze binary neutron star mergers, 2023, submitted
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image.jpg)
Tutorials on ScaleHSL, FPGA, Feb. 27, 2022
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image.jpg)
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism, 2022, ICML
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-4.jpg)
Javier Duarte, Artificial Intelligence at the Edge of Particle Physics, HEP Seminar, Columbia University, November 17, 2021
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-3.jpg)
Applications and Techniques for Fast Machine Learning in Science, 2021, Submitted to Front. Big Data
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-3.jpg)
PointAcc: Efficient Point Cloud Accelerator, 2021, MICRO
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-3.jpg)
Shih-Chieh Hsu, NSF HDR Institute: Accelerated Artificial Intelligence Algorithms for Data-Driven Discovery (A3D3), Fast ML General Meeting, October 1, 2021
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-Image-1.jpg)
ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation, 2022, HPCA
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-2.jpg)
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, 2020, ECCV
![](https://a3d3.ai/wp-content/uploads/2023/07/placeholder-image-3.jpg)