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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.
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Collaborations and top research areas from the last five years
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SHF: Small: Design Methodologies for Interpretable Differentiable Logic Networks
Jha, N. K. (PI)
NSF - National Science Foundation
7/1/24 → 6/30/27
Project: Research project
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I-Corps: Advanced Security for Healthcare Systems
Jha, N. K. (PI)
NSF - National Science Foundation
2/1/24 → 1/31/26
Project: Research project
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CNS Core: Small: CNN-Accelerator Co-Design
Jha, N. K. (PI)
NSF - National Science Foundation
8/1/22 → 7/31/25
Project: Research project
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CCF: SHF: Small: Transformer synthesis
Jha, N. K. (PI)
NSF - National Science Foundation
2/1/22 → 1/31/25
Project: Research project
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CNS Core: Small: Ultra-Efficient Neural Network and LSTM Architectures
Jha, N. K. (PI)
NSF - National Science Foundation
10/1/19 → 9/30/23
Project: Research project
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TAD-SIE: sample size estimation for clinical randomized controlled trials using a Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator
Lala, S. & Jha, N. K., Dec 2025, In: Trials. 26, 1, 31.Research output: Contribution to journal › Article › peer-review
Open Access -
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
Wang, H., Liu, D., Kang, Y., Li, Y., Lin, Z., Jha, N. K. & Liu, Y., 2024, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 16080-16089 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
CTRL: Clustering Training Losses for Label Error Detection
Yue, C. & Jha, N. K., 2024, In: IEEE Transactions on Artificial Intelligence. 5, 8, p. 4121-4135 15 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
Li, C. H. & Jha, N. K., Aug 28 2024, In: ACM Transactions on Embedded Computing Systems. 23, 5, 81.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
Tuli, S., Lin, C. H., Hsu, Y. C., Jha, N. K., Shen, Y. & Jin, H., 2024, Long Papers. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 3322-3345 24 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution