Jian Zhang
Orcid: 0000-0001-7155-7760Affiliations:
- Xinyang Normal University, School of Computer and Information Technology, China
- Northeast Normal University, School of Computer Science and Information Technology, Changchun, China (PhD 2017)
- Virginia Commonwealth University, Richmond, VA, USA (2015 - 2016)
According to our database1,
Jian Zhang
authored at least 19 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-μ J/Sample On-Chip Learning for Edge-AI Applications.
IEEE J. Solid State Circuits, August, 2024
2023
SCAMPER: Accurate Type-Specific Prediction of Calcium-Binding Residues Using Sequence-Derived Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023
ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-O.1 μJ/Sample On-Chip Learning for Edge-AI Applications.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
ANAS: Asynchronous Neuromorphic Hardware Architecture Search Based on a System-Level Simulator.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 28th IEEE International Symposium on Asynchronous Circuits and Systems, 2023
A 28nm Energy-efficient Asynchronous SNN Accelerator with On-chip Learning for Gas Recognition.
Proceedings of the 28th IEEE International Symposium on Asynchronous Circuits and Systems, 2023
2021
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences.
Briefings Bioinform., 2021
2020
Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins.
Bioinform., 2020
Corrigendum to: Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains.
Briefings Bioinform., 2020
2019
SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences.
Bioinform., 2019
Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains.
Briefings Bioinform., 2019
2018
HEMEsPred: Structure-Based Ligand-Specific Heme Binding Residues Prediction by Using Fast-Adaptive Ensemble Learning Scheme.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Review and comparative assessment of sequence-based predictors of protein-binding residues.
Briefings Bioinform., 2018
Identification of Mammalian Enzymatic Proteins Based on Sequence-Derived Features and Species-Specific Scheme.
IEEE Access, 2018
2017
Prediction of bioluminescent proteins by using sequence-derived features and lineage-specific scheme.
BMC Bioinform., 2017
2016
Identification of DNA-binding proteins using multi-features fusion and binary firefly optimization algorithm.
BMC Bioinform., 2016
2015
Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme.
BioData Min., 2015
2013
Comput. Math. Methods Medicine, 2013