2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks Conference
International Conference on Machine Learning (ICML), 2023.
CANNON: Communication-Aware Sparse Neural Network Optimization Journal Article
In: IEEE Transactions on Emerging Topics in Computing, 2023.
Revisiting Pruning at Initialization through the Lens of Ramanujan Graph Conference
International Conference on Learning Representations (ICLR), 2023.
2022
INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip Proceedings Article
In: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 1-9, 2022.
Model Elasticity for Hardware Heterogeneity in Federated Learning Systems Proceedings Article
In: Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network (FedEdge), pp. 19-24, 2022.
2021
FLASH: Fast Neural Architecture Search with Hardware Optimization Journal Article
In: ACM Transactions on Embedded Computing Systems, vol. 20, no. 63, pp. 1-26, 2021.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
2020
A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference Proceedings Article
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 398–399, 2020.
2019
Dream distillation: A data-independent model compression framework Journal Article
In: arXiv preprint arXiv:1905.07072, 2019.
Memory-and communication-aware model compression for distributed deep learning inference on iot Journal Article
In: ACM Transactions on Embedded Computing Systems (TECS), vol. 18, no. 5s, pp. 1–22, 2019.
Machine Learning-Based Processor Adaptability Targeting Energy, Performance, and Reliability Proceedings Article
In: 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 158–163, IEEE 2019.