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Dongcheng Zhao
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2020 – today
- 2024
- [i23]Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng:
TIM: An Efficient Temporal Interaction Module for Spiking Transformer. CoRR abs/2401.11687 (2024) - [i22]Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng:
Efficient Training Spiking Neural Networks with Parallel Spiking Unit. CoRR abs/2402.00449 (2024) - 2023
- [j16]Guobin Shen, Dongcheng Zhao, Yi Zeng:
EventMix: An efficient data augmentation strategy for event-based learning. Inf. Sci. 644: 119170 (2023) - [j15]Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng:
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Neural Networks 165: 799-808 (2023) - [j14]Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi:
BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. Patterns 4(8): 100789 (2023) - [j13]Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. IEEE Trans. Very Large Scale Integr. Syst. 31(8): 1178-1191 (2023) - [c8]Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng:
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. NeurIPS 2023 - [i21]Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Zeng Yi:
FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks. CoRR abs/2301.01905 (2023) - [i20]Guobin Shen, Dongcheng Zhao, Yi Zeng:
Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns. CoRR abs/2301.12356 (2023) - [i19]Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng:
Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. CoRR abs/2303.13077 (2023) - [i18]Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng:
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. CoRR abs/2303.13080 (2023) - [i17]Yiting Dong, Dongcheng Zhao, Yi Zeng:
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future. CoRR abs/2304.06540 (2023) - [i16]Linghao Feng, Dongcheng Zhao, Yi Zeng:
Spiking Generative Adversarial Network with Attention Scoring Decoding. CoRR abs/2305.10246 (2023) - [i15]Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng:
Dive into the Power of Neuronal Heterogeneity. CoRR abs/2305.11484 (2023) - [i14]Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng:
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency. CoRR abs/2305.14174 (2023) - [i13]Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng:
Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. CoRR abs/2306.11546 (2023) - [i12]Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng:
Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. CoRR abs/2308.12063 (2023) - [i11]Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network with a Spatiotemporal FPGA Accelerator. CoRR abs/2309.16158 (2023) - [i10]Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng:
Is Conventional SNN Really Efficient? A Perspective from Network Quantization. CoRR abs/2311.10802 (2023) - [i9]Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, Yi Zeng:
Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling. CoRR abs/2312.07625 (2023) - 2022
- [j12]Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang:
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. Inf. Sci. 610: 1-13 (2022) - [j11]Dongcheng Zhao, Yi Zeng, Yang Li:
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. Neural Networks 154: 68-77 (2022) - [j10]Guobin Shen, Dongcheng Zhao, Yi Zeng:
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns 3(6): 100522 (2022) - [c7]Congcong Min, Dongcheng Zhao, Hua Lu:
The Processing Method of the Message Based on the In-band Network Telemetry Technology. ICSS 2022: 21-24 - [c6]Congcong Min, Dongcheng Zhao, Hua Lu:
A Machine Learning Method and Device Based on Programmable Switch. ICSS 2022: 225-228 - [i8]Guobin Shen, Dongcheng Zhao, Yi Zeng:
EventMix: An Efficient Augmentation Strategy for Event-Based Data. CoRR abs/2205.12054 (2022) - [i7]Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng:
An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. CoRR abs/2207.02727 (2022) - [i6]Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi:
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation. CoRR abs/2207.08533 (2022) - 2021
- [j9]Dongcheng Zhao, Long Luo, Hongfang Yu, Victor Chang, Rajkumar Buyya, Gang Sun:
Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks. Clust. Comput. 24(3): 2479-2494 (2021) - [i5]Yang Li, Yi Zeng, Dongcheng Zhao:
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. CoRR abs/2105.12917 (2021) - [i4]Dongcheng Zhao, Yi Zeng, Yang Li:
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons. CoRR abs/2105.13004 (2021) - [i3]Guobin Shen, Dongcheng Zhao, Yi Zeng:
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks. CoRR abs/2110.08858 (2021) - [i2]Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang:
Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules. CoRR abs/2111.07785 (2021) - [i1]Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng:
N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. CoRR abs/2112.13230 (2021) - 2020
- [j8]Dongcheng Zhao, Yi Zeng, Tielin Zhang, Mengting Shi, Feifei Zhao:
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. Frontiers Comput. Neurosci. 14: 576841 (2020) - [j7]Yi Zeng, Yuxuan Zhao, Tielin Zhang, Dongcheng Zhao, Feifei Zhao, Enmeng Lu:
A Brain-Inspired Model of Theory of Mind. Frontiers Neurorobotics 14: 60 (2020)
2010 – 2019
- 2019
- [j6]Dongcheng Zhao, Jing Ren, Rongping Lin, Shizhong Xu, Victor Chang:
On Orchestrating Service Function Chains in 5G Mobile Network. IEEE Access 7: 39402-39416 (2019) - [j5]Dongcheng Zhao, Gang Sun, Dan Liao, Shizhong Xu, Victor Chang:
Mobile-aware service function chain migration in cloud-fog computing. Future Gener. Comput. Syst. 96: 591-604 (2019) - [c5]Dongcheng Zhao, Yi Zeng:
Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. IJCNN 2019: 1-8 - 2018
- [j4]Dongcheng Zhao, Dan Liao, Gang Sun, Shizhong Xu:
Towards Resource-Efficient Service Function Chain Deployment in Cloud-Fog Computing. IEEE Access 6: 66754-66766 (2018) - [j3]Gang Sun, Dan Liao, Dongcheng Zhao, Zhili Sun, Victor I. Chang:
Towards provisioning hybrid virtual networks in federated cloud data centers. Future Gener. Comput. Syst. 87: 457-469 (2018) - [j2]Gang Sun, Dan Liao, Dongcheng Zhao, Zichuan Xu, Hongfang Yu:
Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers. IEEE Trans. Serv. Comput. 11(2): 279-291 (2018) - [c4]Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi:
A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. AAAI 2018: 620-628 - [c3]Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu:
Brain-inspired Balanced Tuning for Spiking Neural Networks. IJCAI 2018: 1653-1659 - 2017
- [c2]Dongcheng Zhao, Gang Sun, Dan Liao, Rahat Iqbal, Victor Chang:
Live Migration for Service Function Chaining. IoTBDS 2017: 149-156 - 2016
- [j1]Gang Sun, Dan Liao, Vishal Anand, Dongcheng Zhao, Hongfang Yu:
A new technique for efficient live migration of multiple virtual machines. Future Gener. Comput. Syst. 55: 74-86 (2016) - [c1]Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu:
HMSNN: Hippocampus inspired Memory Spiking Neural Network. SMC 2016: 2301-2306
Coauthor Index
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last updated on 2024-03-03 02:36 CET by the dblp team
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