Dongcheng Zhao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 60

Top Topics

Temporal Consistency

Virtual Machine

Top Venues

Neural Networks

Future Gener. Comput. Syst.

Publications

Yi Zeng, Feifei Zhao, Yuxuan Zhao, Dongcheng Zhao, Enmeng Lu, Qian Zhang, Yuwei Wang, Hui Feng, Zhuoya Zhao, Jihang Wang, Qingqun Kong, Yinqian Sun, Yang Li, Guobin Shen, Bing Han, Yiting Dong, Wenxuan Pan, Xiang He, Aorigele Bao, Jin Wang
Brain-inspired and Self-based Artificial Intelligence. CoRR (2024)
Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng
Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient. CoRR (2024)
Guobin Shen, Dongcheng Zhao, Yi Zeng
Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. Neural Networks 170 (2024)
Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng
TIM: An Efficient Temporal Interaction Module for Spiking Transformer. CoRR (2024)
Guobin Shen, Dongcheng Zhao, Sicheng Shen, Yi Zeng
Enhancing Spiking Transformers with Binary Attention Mechanisms. Tiny Papers @ ICLR (2024)
Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng
Directly training temporal Spiking Neural Network with sparse surrogate gradient. Neural Networks 179 (2024)
Linghao Feng, Dongcheng Zhao, Yi Zeng
Spiking generative adversarial network with attention scoring decoding. Neural Networks 178 (2024)
Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. AAAI (2024)
Linghao Feng, Dongcheng Zhao, Sicheng Shen, Yiting Dong, Guobin Shen, Yi Zeng
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation. CoRR (2024)
Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng
Efficient Training Spiking Neural Networks with Parallel Spiking Unit. CoRR (2024)
Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. CoRR (2024)
Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng
MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. Neural Comput. Appl. 36 (15) (2024)
Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng
Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings. CoRR (2024)
Yiting Dong, Dongcheng Zhao, Yi Zeng
Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future. IEEE Trans. Artif. Intell. 5 (7) (2024)
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 (2023)
Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng
Is Conventional SNN Really Efficient? A Perspective from Network Quantization. CoRR (2023)
Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency. CoRR (2023)
Guobin Shen, Dongcheng Zhao, Yi Zeng
Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns. CoRR (2023)
Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng
Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. CoRR (2023)
Yiting Dong, Dongcheng Zhao, Yi Zeng
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future. CoRR (2023)
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 (2023)
Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. CoRR (2023)
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) (2023)
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) (2023)
Linghao Feng, Dongcheng Zhao, Yi Zeng
Spiking Generative Adversarial Network with Attention Scoring Decoding. CoRR (2023)
Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Zeng Yi
FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks. CoRR (2023)
Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. NeurIPS (2023)
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 (2023)
Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng
Dive into the Power of Neuronal Heterogeneity. CoRR (2023)
Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. CoRR (2023)
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 (2023)
Guobin Shen, Dongcheng Zhao, Yi Zeng
EventMix: An efficient data augmentation strategy for event-based learning. Inf. Sci. 644 (2023)
Jihang Wang, Dongcheng Zhao, Guobin Shen, Qian Zhang, Yi Zeng
DPSNN: A Differentially Private Spiking Neural Network. CoRR (2022)
Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. CoRR (2022)
Congcong Min, Dongcheng Zhao, Hua Lu
A Machine Learning Method and Device Based on Programmable Switch. ICSS (2022)
Dongcheng Zhao, Yi Zeng, Yang Li
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. Neural Networks 154 (2022)
Guobin Shen, Dongcheng Zhao, Yi Zeng
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns 3 (6) (2022)
Guobin Shen, Dongcheng Zhao, Yi Zeng
EventMix: An Efficient Augmentation Strategy for Event-Based Data. CoRR (2022)
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 (2022)
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 (2022)
Congcong Min, Dongcheng Zhao, Hua Lu
The Processing Method of the Message Based on the In-band Network Telemetry Technology. ICSS (2022)
Guobin Shen, Dongcheng Zhao, Yi Zeng
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks. CoRR (2021)
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 (2021)
Dongcheng Zhao, Yi Zeng, Yang Li
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons. CoRR (2021)
Yang Li, Yi Zeng, Dongcheng Zhao
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. CoRR (2021)
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) (2021)
Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng
N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. CoRR (2021)
Yi Zeng, Yuxuan Zhao, Tielin Zhang, Dongcheng Zhao, Feifei Zhao, Enmeng Lu
A Brain-Inspired Model of Theory of Mind. Frontiers Neurorobotics 14 (2020)
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 (2020)
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 (2019)
Dongcheng Zhao, Yi Zeng
Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. IJCNN (2019)
Dongcheng Zhao, Jing Ren, Rongping Lin, Shizhong Xu, Victor Chang
On Orchestrating Service Function Chains in 5G Mobile Network. IEEE Access 7 (2019)
Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi
A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. AAAI (2018)
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 (2018)
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) (2018)
Dongcheng Zhao, Dan Liao, Gang Sun, Shizhong Xu
Towards Resource-Efficient Service Function Chain Deployment in Cloud-Fog Computing. IEEE Access 6 (2018)
Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu
Brain-inspired Balanced Tuning for Spiking Neural Networks. IJCAI (2018)
Dongcheng Zhao, Gang Sun, Dan Liao, Rahat Iqbal, Victor Chang
Live Migration for Service Function Chaining. IoTBDS (2017)
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 (2016)
Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu
HMSNN: Hippocampus inspired Memory Spiking Neural Network. SMC (2016)