
Papers
Algorithm and System Co-design for Efficient
Subgraph-based Graph Representation Learning, 2022, VLDB
Interpretable and Generalizable Graph Learning
via Stochastic Attention Mechanism, 2022, ICML
Semi-supervised Graph Neural Networks for Pileup
Noise Removal, 2022, NeurIPS AI4Science, Submitted to EPJC
TorchSparse: Efficient Point Cloud
Inference Engine, 2022, MLSys
ScaleHLS: A New Scalable High-Level Synthesis
Framework on Multi-Level Intermediate Representation, 2022, HPCA
Applications and Techniques for Fast Machine
Learning in Science, 2021, Submitted to Front. Big Data
PointAcc: Efficient Point Cloud Accelerator,
2021, MICRO
Searching Efficient 3D Architectures with Sparse
Point-Voxel Convolution, 2020, ECCV
Point-Voxel CNN for Efficient 3D Deep Learning,
2019, NeurIPS (Spotlight)
Talks
Ye
et al., Tutorials on ScaleHSL, FPGA, Feb. 27, 2022
Javier
Duarte, Artificial Intelligence at the Edge of Particle Physics, HEP Seminar, Columbia
University, November 17, 2021
Shih-Chieh Hsu, NSF HDR
Institute: Accelerated Artificial Intelligence Algorithms for Data-Driven Discovery
(A3D3), Fast ML General Meeting, October 1, 2021