Jun Zhou
Orcid: 0000-0001-7899-2909Affiliations:
- National University of Singapore, School of Computing, Singapore
According to our database1,
Jun Zhou
authored at least 30 papers
between 2015 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
EH-Benchmark: Ophthalmic hallucination benchmark and agent-driven top-down traceable reasoning workflow.
Inf. Fusion, 2026
2025
CoRR, September, 2025
Low Latency Conversion of Artificial Neural Network Models to Rate-Encoded Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2025
CoRR, July, 2025
Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
CoRR, January, 2025
MaskedCLIP: Bridging the Masked and CLIP Space for Semi-supervised Medical Vision-Language Pre-training.
Proceedings of the Foundation Models for General Medical AI - Third International Workshop, 2025
AdvMIM: Adversarial Masked Image Modeling for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
2024
1.63 pJ/SOP Neuromorphic Processor With Integrated Partial Sum Routers for In-Network Computing.
IEEE Trans. Very Large Scale Integr. Syst., November, 2024
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning.
CoRR, 2024
Proceedings of the IEEE Conference on Artificial Intelligence, 2024
Proceedings of the IEEE Conference on Artificial Intelligence, 2024
2023
CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
2022
Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140].
Neurocomputing, 2022
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency.
Neurocomputing, 2022
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks.
CoRR, 2022
REACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records.
Proceedings of the AMIA 2022, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
An optimal global algorithm for route guidance in advanced traveler information systems.
Inf. Sci., 2021
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records.
CoRR, 2021
Biomed. Signal Process. Control., 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles.
Inf. Sci., 2020
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
2019
IEEE Trans. Cloud Comput., 2019
ACM Trans. Archit. Code Optim., 2019
Resource Efficient Personalized ECG Beat Classification via Temporal Logic Synthesis.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2017
Proceedings of the Computational Methods in Systems Biology, 2017
2015
Proceedings of the Hybrid Systems Biology - Fourth International Workshop, 2015