Min Tian
Orcid: 0000-0001-9716-6813Affiliations:
- Chongqing University School of Microelectronics and Communication Engineering, Chongqing, China
According to our database1,
Min Tian authored at least 18 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
MorphBungee: A 65-nm 7.2-mm<sup>2</sup> 27-µJ/Image Digital Edge Neuromorphic Chip With on-Chip 802-Frame/s Multi-Layer Spiking Neural Network Learning.
IEEE Trans. Biomed. Circuits Syst., February, 2025
MorphBungee-Lite: An Edge Neuromorphic Architecture With Balanced Cross-Core Workloads Based on Layer-Wise Event-Batch Learning/Inference.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2025
STOP: spatiotemporal orthogonal propagation for weight-threshold-leakage synergistic training of deep spiking neural networks.
Neuromorph. Comput. Eng., 2025
2024
Ghost Reservoir: A Memory-Efficient Low-Power and Real-Time Neuromorphic Processor of Liquid State Machine With On-Chip Learning.
IEEE Trans. Circuits Syst. II Express Briefs, October, 2024
A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning.
Comput. Electr. Eng., 2024
2023
Sensors, December, 2023
An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023
MorphBungee: A 65nm 7.2mm<sup>2</sup> 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023
Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity.
IEEE Trans. Biomed. Circuits Syst., 2022
A Lightweight Spiking GAN Model for Memristor-centric Silicon Circuit with On-chip Reinforcement Adversarial Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity.
Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 2022
MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips.
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022
2021
A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021