Projects per year
Fingerprint Dive into the research topics where Niraj Kumar Jha is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 2 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
CNS Core: Small: Ultra-Efficient Neural Network and LSTM Architectures
NSF - National Science Foundation
10/1/19 → 9/30/22
Project: Research project
SHF: Small: Extremely Energy-Efficient Monolithic 3D System Architectures
NSF - National Science Foundation
7/1/18 → 6/30/21
Project: Research project
SHF: Small: Exploration of the Transistor-level Monolithic 3D SRAM Design Space
NSF - National Science Foundation
9/1/17 → 8/31/21
Project: Research project
TWC: Small: Physiological Information Leakage: A New Front on Health Information Security
NSF - National Science Foundation
10/1/16 → 9/30/20
Project: Research project
CSR: Small: Energy-efficient Embedded Signal-processing Inference Systems
NSF - National Science Foundation
10/1/16 → 9/30/20
Project: Research project
Research Output
Grow and Prune Compact, Fast, and Accurate LSTMs
Dai, X., Yin, H. & Jha, N. K., Mar 1 2020, In : IEEE Transactions on Computers. 69, 3, p. 441-452 12 p., 8907435.Research output: Contribution to journal › Article
2
Scopus
citations
SECRET: Semantically Enhanced Classification of Real-world Tasks
Akmandor, A. O., Ortiz, J., Manotas, I., Ko, B. J. & Jha, N. K., 2020, (Accepted/In press) In : IEEE Transactions on Computers.Research output: Contribution to journal › Article
Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture
Yu, Y., Li, Y., Che, S., Jha, N. K. & Zhang, W., 2020, (Accepted/In press) In : IEEE Transactions on Computers.Research output: Contribution to journal › Article
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference
Yu, Y. & Jha, N. K., 2020, (Accepted/In press) In : IEEE Transactions on Emerging Topics in Computing.Research output: Contribution to journal › Article
ChamNet: Towards efficient network design through platform-aware model adaptation
Dai, X., Zhang, P., Wu, B., Yin, H., Sun, F., Wang, Y., Dukhan, M., Hu, Y., Wu, Y., Jia, Y., Vajda, P., Uyttendaele, M. & Jha, N. K., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 11390-11399 10 p. 8953371. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
10
Scopus
citations