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ORCIDMin Tian 0003
Person information
- affiliation: Chongqing University School of Microelectronics and Communication Engineering, Chongqing, China
Other persons with the same name
- Min Tian — disambiguation page
- Min Tian 0001
![[0000-0002-5942-900X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5942-900X")
— Shandong University, Jinan, Shandong, China - Min Tian 0002 — Dalian Maritime University, Dalian, China
- Min Tian 0004 — Shihezi University, Shihezi, Xinjiang, China
- Min Tian 0005 — Qilu University of Technology, Jinan, Shandong, China
- Min Tian 0006 — Xidian University, Xian, Shaanxi, China
- Min Tian 0007 — George Washington University, Washington, DC, USA
- Min Tian 0008 — Peking University, Beijing, China
- Min Tian 0009 — Xidian University, Xi'an, China
- Min Tian 0010 — Nanjing Medical College, Nanjing, China
- Min Tian 0011 — Donghua University, Shanghai, China
- Min Tian 0012 — Xi'an Jiaotong University, School of Management, Xi'an, China
- Min Tian 0013 — Ohio State University, Columbus, OH, USA
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2020 – today
- 2025
[j10]Haoran Gao, Xichuan Zhou, Yingcheng Lin, Min Tian, Liyuan Liu, Cong Shi:
STOP: spatiotemporal orthogonal propagation for weight-threshold-leakage synergistic training of deep spiking neural networks. Neuromorph. Comput. Eng. 5(4): 44001 (2025)- [j9]Tengxiao Wang, Min Tian, Haibing Wang, Zhengqing Zhong, Junxian He, Fang Tang, Xichuan Zhou, Yingcheng Lin, Shuangming Yu, Liyuan Liu, Cong Shi:
MorphBungee: A 65-nm 7.2-mm2 27-µJ/Image Digital Edge Neuromorphic Chip With on-Chip 802-Frame/s Multi-Layer Spiking Neural Network Learning. IEEE Trans. Biomed. Circuits Syst. 19(1): 209-225 (2025) - [j8]Zhengqing Zhong, Haibing Wang, Mingju Chen, Yingcheng Lin, Min Tian, Tengxiao Wang, Liyuan Liu, Cong Shi:
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 72(1): 293-297 (2025) - 2024
- [j7]Junxian He, Min Tian, Ying Jiang, Haibing Wang, Tengxiao Wang, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Ying Wang, Cong Shi:
A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning. Comput. Electr. Eng. 120: 109806 (2024) - [j6]Cong Shi, Xiang Fu, Haibing Wang, Yingcheng Lin, Ying Jiang, Liyuan Liu, Nanjian Wu, Min Tian:
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 71(10): 4526-4530 (2024) - [i1]Haoran Gao, Xichuan Zhou, Yingcheng Lin, Min Tian, Liyuan Liu, Cong Shi:
STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks. CoRR abs/2411.11082 (2024) - 2023
- [j5]Cong Shi, Li Wang, Haoran Gao, Min Tian:
Learnable Leakage and Onset-Spiking Self-Attention in SNNs with Local Error Signals. Sensors 23(24): 9781 (2023) - [j4]Leyi Chen, Cong Shi, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Min Tian:
An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4249-4259 (2023) - [j3]Cong Shi, Jingya Zhang, Tengxiao Wang, Zhengqing Zhong, Junxian He, Haoran Gao, Jianyi Yu, Ping Li, Min Tian:
An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes. IEEE Trans. Circuits Syst. II Express Briefs 70(7): 2665-2669 (2023) - [c9]Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip. AICAS 2023: 1-2 - [c8]Tengxiao Wang, Min Tian, Zhengqing Zhong, Haibing Wang, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi:
MorphBungee: A 65nm 7.2mm2 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning. A-SSCC 2023: 1-3 - 2022
- [j2]Haibing Wang, Zhen He, Tengxiao Wang, Junxian He, Xichuan Zhou, Ying Wang, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. IEEE Trans. Biomed. Circuits Syst. 16(4): 636-650 (2022) - [j1]Zhen He, Cong Shi, Tengxiao Wang, Ying Wang, Min Tian, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Gang Luo:
A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1657-1661 (2022) - [c7]Leyi Chen, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Cong Shi, Min Tian:
An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. APCCAS 2022: 1-5 - [c6]Tengxiao Wang, Haibing Wang, Junxian He, Zhengqing Zhong, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks. BioCAS 2022: 255-259 - [c5]Cona Shi, Sihao Chen, Haibina Wana, Zhenaaina Zhona, Ping Li, Junxian He, Tengxiao Wang, Jianyi Yu, Min Tian:
TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity. ICTA 2022: 62-63 - [c4]Min Tian, Jing Lu, Haoran Gao, Haibing Wang, Jianyi Yu, Cong Shi:
A Lightweight Spiking GAN Model for Memristor-centric Silicon Circuit with On-chip Reinforcement Adversarial Learning. ISCAS 2022: 3388-3392 - 2021
- [c3]Cong Shi, Jing Lu, Ying Wang, Ping Li, Min Tian:
Exploiting Memristors for Neuromorphic Reinforcement Learning. AICAS 2021: 1-4 - [c2]Haibing Wang, Zhen He, Jinsong Rao, Tengxiao Wang, Junxian He, Min Tian, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Cong Shi:
TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning. ICTA 2021: 88-89 - [c1]Xichuan Zhou, Zhenghua Zhou, Zhengqing Zhong, Jianyi Yu, Tengxiao Wang, Min Tian, Ying Jiang, Cong Shi:
A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition. ISCAS 2021: 1-5
Coauthor Index
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