Publications

This section contains publications published by ISI over the past several decades.

2023

Quantpipe: Applying adaptive post-training quantization for distributed transformer pipelines in dynamic edge environments

Haonan Wang, Connor Imes, Souvik Kundu, Peter A Beerel, Stephen P Crago, John Paul Walters
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023

ViTA: A vision transformer inference accelerator for edge applications

Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A Beerel
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5,  2023

Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors

Md Abdullah-Al Kaiser, Gourav Datta, Zixu Wang, Ajey P Jacob, Peter A Beerel, Akhilesh R Jaiswal
Frontiers in Neuroinformatics 17, 1144301,  2023

On the security of sequential logic locking against oracle-guided attacks

Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A Beerel, Pierluigi Nuzzo
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …,  2023

Learning to linearize deep neural networks for secure and efficient private inference

Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Liu, Peter A Beerel
arXiv preprint arXiv:2301.09254,  2023

Sal-vit: Towards latency efficient private inference on vit using selective attention search with a learnable softmax approximation

Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A Beerel
Proceedings of the IEEE/CVF International Conference on Computer Vision …,  2023

Firefly: A synthetic dataset for ember detection in wildfire

Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter Beerel
Proceedings of the IEEE/CVF International Conference on Computer Vision …,  2023

Making models shallow again: Jointly learning to reduce non-linearity and depth for latency-efficient private inference

Souvik Kundu, Yuke Zhang, Dake Chen, Peter A Beerel
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …,  2023

Enabling ISPless low-power computer vision

Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R Jaiswal, Peter A Beerel
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …,  2023

Self-attentive pooling for efficient deep learning

Fang Chen, Gourav Datta, Souvik Kundu, Peter A Beerel
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …,  2023

Float: fast learnable once-for-all adversarial training for tunable trade-off between accuracy and robustness

Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A Beerel
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …,  2023

Feasibility of Multi-Axial Gecko Gripping for Active Debris Removal.

D. Andreyeva, K., Topper, H., Lintala, P., Griffith, T., and Barnhart
74th International Astronautical Congress,  2023

Multi-armed soft capture system

D Barnhart, R Rogers
US Patent 11,661,217,  2023

Soft robotics, autonomous, space inspection, crawling robot

DA Barnhart, S Estrada, M Renteria, C Blair
US Patent App. 17/993,172,  2023

The iSSI (intelligent Space System Interface) Modular Coupling Supporting Modular Architectures and ISAM Development Across the Board

Joerg Kreisel, Thomas A Schervan, Steve L Kwast, Dennis R Wingo, David Barnhart
ASCEND 2023, 4702,  2023

Comparing platform paradigms: CubeSats versus SmallSats

David A Barnhart, Rahul Rughani
Next Generation CubeSats and SmallSats, 57-78,  2023

MAVERIC: Exploring Space Visualization Technology Through Academic Flight Programs

C Garrido, S Lin, J Di, J Bergstrom, B Rios, B Byrne, S Clements, A Dhabekar, B Dadhich, D Barnhart
2023

Citation Intent Classification Through Weakly Supervised Knowledge Graphs

Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara
SDU Workshop @ AAAI 2023,  2023

PubGraph: A Large-Scale Scientific Knowledge Graph

Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, Jay Pujara
arXiv preprint arXiv:2302.02231,  2023