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2020 – today
- 2024
[j22]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): 8531-8547 (2024)- [j21]Guobin Shen, Dongcheng Zhao, Yi Zeng:
Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. Neural Networks 170: 190-201 (2024) - [j20]Linghao Feng, Dongcheng Zhao, Yi Zeng:
Spiking generative adversarial network with attention scoring decoding. Neural Networks 178: 106423 (2024) - [j19]Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng:
Directly training temporal Spiking Neural Network with sparse surrogate gradient. Neural Networks 179: 106499 (2024) - [j18]Yiting Dong, Dongcheng Zhao, Yi Zeng:
Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future. IEEE Trans. Artif. Intell. 5(7): 3524-3534 (2024) - [j17]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. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(9): 2647-2660 (2024) - [c14]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: 512-520 - [c13]Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng:
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization. CVPR 2024: 27528-27537 - [c12]Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. FPL 2024: 197-203 - [c11]Guobin Shen, Dongcheng Zhao, Sicheng Shen, Yi Zeng:
Enhancing Spiking Transformers with Binary Attention Mechanisms. Tiny Papers @ ICLR 2024 - [c10]Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng:
TIM: An Efficient Temporal Interaction Module for Spiking Transformer. IJCAI 2024: 3133-3141 - [c9]Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng:
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. IJCNN 2024: 1-8 - [i33]Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng:
TIM: An Efficient Temporal Interaction Module for Spiking Transformer. CoRR abs/2401.11687 (2024) - [i32]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) - [i31]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 abs/2402.18784 (2024) - [i30]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 abs/2404.19438 (2024) - [i29]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 abs/2405.14474 (2024) - [i28]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 abs/2405.18880 (2024) - [i27]Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng:
Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient. CoRR abs/2406.19645 (2024) - [i26]Xiang He, Xiangxi Liu, Yang Li, Dongcheng Zhao, Guobin Shen, Qingqun Kong, Xin Yang, Yi Zeng:
CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. CoRR abs/2408.01952 (2024) - [i25]Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration with Reconfigurable Spatial Architecture. CoRR abs/2408.15578 (2024) - [i24]Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. CoRR abs/2409.03508 (2024) - [i23]Yong Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng:
Brain-Inspired Stepwise Patch Merging for Vision Transformers. CoRR abs/2409.06963 (2024) - [i22]Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng:
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? CoRR abs/2409.17167 (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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