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)

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