2024
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation Conference Forthcoming
Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Forthcoming.
CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning Conference Forthcoming
Proceedings of the 9th ACM/IEEE Conference on Internet of Things Design and Implementation, Forthcoming.
Beyond Thresholds: A General Approach to Sensor Selection for Practical Deep Learning-based HAR Conference Forthcoming
Proceedings of the 9th ACM/IEEE Conference on Internet of Things Design and Implementation, Forthcoming.
Three Decades of Low Power: From Watts to Wisdom Journal Article
In: IEEE Access, vol. 12, pp. 19447-19458, 2024.
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation Conference
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024.
2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation Conference
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023.
Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2023), 2023.
Teaching Edge AI at the Undergraduate Level: A Hardware–Software Co-Design Approach Journal Article
In: Computer, vol. 56, iss. 11, pp. 30-38, 2023.
TIPS: Topologically Important Path Sampling for Anytime Neural Networks Conference
International Conference on Machine Learning (ICML), 2023.
Medical Imaging with Deep Learning, 2023.
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning Journal Article
In: IEEE Transactions on Computers, 2023, ISSN: 0018-9340.
CANNON: Communication-Aware Sparse Neural Network Optimization Journal Article
In: IEEE Transactions on Emerging Topics in Computing, 2023.
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications Conference
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023.
Dynamic Multimodal Fusion Conference
Multimodal Learning and Applications Workshop (Conference on Computer Vision and Pattern Recognition Workshops), 2023.
International Conference on Internet-of-Things Design and Implementation (IoTDI), 2023.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023.
Efficient On-device Training via Gradient Filtering Conference
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients Conference
International Conference on Learning Representations (ICLR), 2023.
Revisiting Pruning at Initialization through the Lens of Ramanujan Graph Conference
International Conference on Learning Representations (ICLR), 2023.
Medical Image Segmentation via Cascaded Attention Decoding Proceedings Article
In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 6222-6231, 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.
Domain-Specific Architectures (DSAs): Research Problems and Promising Approaches Journal Article
In: ACM Transactions on Embedded Computing Systems (TECS), 2022.
Quarantine in Motion: a Graph Learning Framework to Reduce Disease Transmission without Lockdown Proceedings Article
In: Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2022), 2022.
AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models Proceedings Article
In: Proceedings of the 2022 ACM International Symposium on Wearable Computers (ISWC), pp. 44-48, 2022.
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning Proceedings Article
In: arXiv preprint arXiv:2202.00075, 2022.
2021
Pruning Digital Contact Networks for Meso-scale Epidemics Surveillance Using Foursquare Data Proceedings Article
In: ACM/IEEE Intl. Conf. on Advances in Social Network Analysis and Mining (ASONAM), 2021.
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices Proceedings Article
In: The Conference on Robot Learning, 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.
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs Journal Article
In: IEEE Embedded Systems Letters, 2021.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
2020
Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems Journal Article
In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11, pp. 4064-4077, 2020.
On network science and mutual information for explaining deep neural networks Proceedings Article
In: ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8399–8403, IEEE 2020.
DS3: A system-level domain-specific system-on-chip simulation framework Journal Article
In: IEEE Transactions on Computers, 2020.
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Journal Article
In: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) , 2020.
Centralized and decentralized isolation strategies and their impact on the COVID-19 pandemic dynamics Journal Article
In: arXiv preprint arXiv:2004.04222, 2020.
HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs Journal Article
In: IEEE Computer Architecture Letters, vol. 19, no. 1, pp. 63–67, 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.
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems Journal Article
In: arXiv preprint arXiv:2007.09361, 2020.
Model Personalization for Human Activity Recognition Proceedings Article
In: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 1–7, IEEE 2020.
Edge AI: Systems Design and ML for IoT Data Analytics Proceedings Article
In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3565–3566, 2020.
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design Journal Article
In: arXiv preprint arXiv:2008.10805, 2020.
From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization Journal Article
In: Principles of Cyber-Physical Systems: An Interdisciplinary Approach, pp. 3, 2020.
2019
MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks Journal Article
In: Bmc Bioinformatics, vol. 20, no. 12, pp. 314, 2019.
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks Proceedings Article
In: Workshop on Network Interpretability for Deep Learning@ AAAI Conf. on Artificial Intelligence (AAAI), Honolulu, 2019.
Bot Detection in Reddit Political Discussion Proceedings Article
In: Proceedings of the Fourth International Workshop on Social Sensing, pp. 30–35, 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.
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips Proceedings Article
In: 2019 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ ISSS), pp. 1–2, IEEE 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.