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publications.html
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<!DOCTYPE HTML>
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<title>A3D3 Publications</title>
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class="label">GitHub</span></a></li>
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<h2>Papers</h2>
</header>
<p>
<a href="https://arxiv.org/abs/2303.17657">Progress towards an improved particle flow algorithm at CMS with machine learning, 2023, <em>ACAT</em></a><br>
<a href="https://arxiv.org/abs/2205.08513">NMMA: A nuclear-physics and multi-messenger astrophysics framework to analyze binary neutron star mergers, 2023, <em>submitted</em></a><br>
<a href="https://arxiv.org/abs/2210.16966">Interpretable Geometric Deep Learning via Learnable Randomness Injection, 2023, <em>ICLR</em></a><br>
<a href="https://arxiv.org/abs/2209.01084">Neighborhood-aware Scalable Temporal Network Representation Learning, 2022, <em>LoG</em></a><br>
<a href="https://arxiv.org/abs/2202.13538">Algorithm and System Co-design for Efficient
Subgraph-based Graph Representation Learning, 2022, <em>VLDB</em></a><br>
<a href="https://arxiv.org/abs/2201.12987">Interpretable and Generalizable Graph Learning
via Stochastic Attention Mechanism, 2022, <em>ICML</em></a><br>
<a href="https://link.springer.com/article/10.1140/epjc/s10052-022-11083-5">Semi-supervised Graph Neural Networks for Pileup
Noise Removal, 2022, NeurIPS AI4Science, <em>EPJC</em></a><br>
<a href="https://github.com/mit-han-lab/torchsparse">TorchSparse: Efficient Point Cloud
Inference Engine, 2022, <em>MLSys</em></a><br>
<a href="https://arxiv.org/abs/2107.11673">ScaleHLS: A New Scalable High-Level Synthesis
Framework on Multi-Level Intermediate Representation, 2022, <em>HPCA</em></a><br>
<a href="https://arxiv.org/abs/2110.13041">Applications and Techniques for Fast Machine
Learning in Science, 2021, Submitted to <em>Front. Big Data</em></a><br>
<a href="https://arxiv.org/abs/2110.07600">PointAcc: Efficient Point Cloud Accelerator,
2021, <em>MICRO</em></a><br>
<a href="https://arxiv.org/abs/2007.16100">Searching Efficient 3D Architectures with Sparse
Point-Voxel Convolution, 2020, <em>ECCV</em></a><br>
<a href="https://arxiv.org/abs/1907.03739">Point-Voxel CNN for Efficient 3D Deep Learning,
2019, <em>NeurIPS (Spotlight)</em></a><br>
</p>
<div class="posts">
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<h2>Talks</h2>
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<p>
<a
href="https://vast.cs.ucla.edu/events/2022-02-27/open-source-source-source-transformation-high-level-synthesis-hls">Ye
et al., Tutorials on ScaleHSL, FPGA, Feb. 27, 2022</a><br>
<a href="https://physics.columbia.edu/events/hep-seminar-dr-javier-duarte-ucsd">Javier
Duarte, Artificial Intelligence at the Edge of Particle Physics, HEP Seminar, Columbia
University, November 17, 2021</a><br>
<a href="https://indico.cern.ch/event/1081394/#6-nsf-hdr-institute">Shih-Chieh Hsu, NSF HDR
Institute: Accelerated Artificial Intelligence Algorithms for Data-Driven Discovery
(A3D3), Fast ML General Meeting, October 1, 2021</a><br>
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