HMSNN: Hippocampus inspired Memory Spiking Neural Network. - Tielin Zhang; Yi Zeng 001; Dongcheng Zhao; Liwei Wang 001; Yuxuan Zhao 002; Bo Xu 002 (SMC, 2016)

A new technique for efficient live migration of multiple virtual machines. - Gang Sun 001; Dan Liao; Vishal Anand 001; Dongcheng Zhao; Hongfang Yu (Future Gener. Comput. Syst., 2016)

Live Migration for Service Function Chaining. - Dongcheng Zhao; Gang Sun 001; Dan Liao; Rahat Iqbal; Victor Chang 001 (IoTBDS, 2017)

A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. - Tielin Zhang; Yi Zeng 001; Dongcheng Zhao; Mengting Shi (AAAI, 2018)

Brain-inspired Balanced Tuning for Spiking Neural Networks. - Tielin Zhang; Yi Zeng 001; Dongcheng Zhao; Bo Xu 002 (IJCAI, 2018)

Towards Resource-Efficient Service Function Chain Deployment in Cloud-Fog Computing. - Dongcheng Zhao; Dan Liao; Gang Sun 001; Shizhong Xu (IEEE Access, 2018)

Towards provisioning hybrid virtual networks in federated cloud data centers. - Gang Sun 001; Dan Liao; Dongcheng Zhao; Zhili Sun; Victor I. Chang 001 (Future Gener. Comput. Syst., 2018)

Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers. - Gang Sun 001; Dan Liao; Dongcheng Zhao; Zichuan Xu; Hongfang Yu (IEEE Trans. Serv. Comput., 2018)

Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. - Dongcheng Zhao; Yi Zeng 001 (IJCNN, 2019)

On Orchestrating Service Function Chains in 5G Mobile Network. - Dongcheng Zhao; Jing Ren 002; Rongping Lin; Shizhong Xu; Victor Chang 001 (IEEE Access, 2019)

Mobile-aware service function chain migration in cloud-fog computing. - Dongcheng Zhao; Gang Sun 001; Dan Liao; Shizhong Xu; Victor Chang 001 (Future Gener. Comput. Syst., 2019)

GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. - Dongcheng Zhao; Yi Zeng 001; Tielin Zhang; Mengting Shi; Feifei Zhao (Frontiers Comput. Neurosci., 2020)

A Brain-Inspired Model of Theory of Mind. - Yi Zeng 001; Yuxuan Zhao 002; Tielin Zhang; Dongcheng Zhao; Feifei Zhao; Enmeng Lu (Frontiers Neurorobotics, 2020)

Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks. - Dongcheng Zhao; Long Luo; Hongfang Yu; Victor Chang 001; Rajkumar Buyya; Gang Sun 001 (Clust. Comput., 2021)

BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. - Yang Li 141; Yi Zeng 001; Dongcheng Zhao (CoRR, 2021)

Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2021)

N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. - Yang Li 141; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2021)

The Processing Method of the Message Based on the In-band Network Telemetry Technology. - Congcong Min; Dongcheng Zhao; Hua Lu 012 (ICSS, 2022)

A Machine Learning Method and Device Based on Programmable Switch. - Congcong Min; Dongcheng Zhao; Hua Lu 012 (ICSS, 2022)

EventMix: An Efficient Augmentation Strategy for Event-Based Data. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2022)

An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. - Yiting Dong; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (CoRR, 2022)

Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. - Dongcheng Zhao; Yang Li 141; Yi Zeng 001; Jihang Wang; Qian Zhang 080 (Inf. Sci., 2022)

BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. - Dongcheng Zhao; Yi Zeng 001; Yang Li 141 (Neural Networks, 2022)

Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (Patterns, 2022)

Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. - Yiting Dong; Yang Li 141; Dongcheng Zhao; Guobin Shen; Yi Zeng 001 (NeurIPS, 2023)

FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks. - Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Zeng Yi (CoRR, 2023)

Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Guobin Shen; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. - Xiang He 004; Yang Li 141; Dongcheng Zhao; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

Dive into the Power of Neuronal Heterogeneity. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Yi Zeng 001 (CoRR, 2023)

Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. - Yiting Dong; Yang Li 141; Dongcheng Zhao; Guobin Shen; Yi Zeng 001 (CoRR, 2023)

Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Feifei Zhao; Yi Zeng 001 (CoRR, 2023)

Is Conventional SNN Really Efficient? A Perspective from Network Quantization. - Guobin Shen; Dongcheng Zhao; Tenglong Li; Jindong Li 001; Yi Zeng 001 (CoRR, 2023)

Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Jindong Li 001; Kang Sun; Yi Zeng 001 (CoRR, 2023)

An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. - Yiting Dong; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (Neural Networks, 2023)

BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. - Yi Zeng 001; Dongcheng Zhao; Feifei Zhao; Guobin Shen; Yiting Dong; Enmeng Lu; Qian Zhang 080; Yinqian Sun; Qian Liang; Yuxuan Zhao 002; Zhuoya Zhao; Hongjian Fang; et al. (Patterns, 2023)

FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. - Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (IEEE Trans. Very Large Scale Integr. Syst., 2023)

EventMix: An efficient data augmentation strategy for event-based learning. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (Inf. Sci., 2023)

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Guobin Shen; Qingqun Kong; Yi Zeng 001 (AAAI, 2024)

Optimized Service Function Deployment in Edge Computing Networks Using Deep Reinforcement Learning. - Liuwei Huo; Bowen Zhu; Dongcheng Zhao (ACAI, 2024)

Enhancing Few-Shot Learning in Spiking Neural Networks Through Hebbian-Augmented Associative Memory. - Weiyi Li; Dongcheng Zhao; Yiting Dong; Guobin Shen; Yi Zeng 001 (BICS (1), 2024)

Are Conventional SNNs Really Efficient? A Perspective from Network Quantization. - Guobin Shen; Dongcheng Zhao; Tenglong Li; Jindong Li 001; Yi Zeng 001 (CVPR, 2024)

Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. - Jindong Li 001; Tenglong Li; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (FPL, 2024)

Enhancing Spiking Transformers with Binary Attention Mechanisms. - Guobin Shen; Dongcheng Zhao; Sicheng Shen; Yi Zeng 001 (Tiny Papers @ ICLR, 2024)

TIM: An Efficient Temporal Interaction Module for Spiking Transformer. - Sicheng Shen; Dongcheng Zhao; Guobin Shen; Yi Zeng 001 (IJCAI, 2024)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. - Yang Li 141; Yinqian Sun; Xiang He 004; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (IJCNN, 2024)

CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. - Xiang He 004; Xiangxi Liu; Yang Li 141; Dongcheng Zhao; Guobin Shen; Qingqun Kong; Xin Yang 001; Yi Zeng 001 (ACM Multimedia, 2024)

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction. - Guobin Shen; Dongcheng Zhao; Xiang He 004; Linghao Feng; Yiting Dong; Jihang Wang; Qian Zhang 080; Yi Zeng 001 (NeurIPS, 2024)

Efficient Training Spiking Neural Networks with Parallel Spiking Unit. - Yang Li 141; Yinqian Sun; Xiang He 004; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2024)

Brain-inspired and Self-based Artificial Intelligence. - Yi Zeng 001; Feifei Zhao; Yuxuan Zhao 002; Dongcheng Zhao; Enmeng Lu; Qian Zhang 080; Yuwei Wang; Hui Feng; Zhuoya Zhao; Jihang Wang; Qingqun Kong; Yinqian Sun; et al. (CoRR, 2024)

Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings. - Guobin Shen; Dongcheng Zhao; Xiang He 004; Linghao Feng; Yiting Dong; Jihang Wang; Qian Zhang 080; Yi Zeng 001 (CoRR, 2024)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation. - Linghao Feng; Dongcheng Zhao; Sicheng Shen; Yiting Dong; Guobin Shen; Yi Zeng 001 (CoRR, 2024)

Brain-Inspired Stepwise Patch Merging for Vision Transformers. - Yong Yu 001; Dongcheng Zhao; Guobin Shen; Yiting Dong; Yi Zeng 001 (CoRR, 2024)

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models. - Yiting Dong; Guobin Shen; Dongcheng Zhao; Xiang He 004; Yi Zeng 001 (CoRR, 2024)

Spiking generative adversarial network with attention scoring decoding. - Linghao Feng; Dongcheng Zhao; Yi Zeng 001 (Neural Networks, 2024)

Directly training temporal Spiking Neural Network with sparse surrogate gradient. - Yang Li 141; Feifei Zhao; Dongcheng Zhao; Yi Zeng 001 (Neural Networks, 2024)

Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (Neural Networks, 2024)

MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. - Xiang He 004; Yang Li 141; Dongcheng Zhao; Qingqun Kong; Yi Zeng 001 (Neural Comput. Appl., 2024)

Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future. - Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (IEEE Trans. Artif. Intell., 2024)

FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator. - Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. - Yiting Dong; Xiang He 004; Guobin Shen; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (AAAI, 2025)

StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? - Guobin Shen; Dongcheng Zhao; Aorigele Bao; Xiang He 004; Yiting Dong; Yi Zeng 001 (AAAI, 2025)

Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA. - Jindong Li 001; Tenglong Li; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (DATE, 2025)

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Xiang He 004; Yi Zeng 001 (ICLR, 2025)

Improving stability and performance of spiking neural networks through enhancing temporal consistency. - Dongcheng Zhao; Guobin Shen; Yiting Dong; Yang Li 141; Yi Zeng 001 (Pattern Recognit., 2025)

SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility. - Guobin Shen; Jindong Li 001; Tenglong Li; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2025)

Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning. - Xiang He 004; Dongcheng Zhao; Yiting Dong; Guobin Shen; Xin Yang 001; Yi Zeng 001 (CoRR, 2025)

Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism. - Linghao Feng; Dongcheng Zhao; Sicheng Shen; Yi Zeng 001 (CoRR, 2025)

Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society. - Yi Zeng 001; Feifei Zhao; Yuwei Wang; Enmeng Lu; Yaodong Yang 001; Lei Wang; Chao Liu; Yitao Liang; Dongcheng Zhao; Bing Han 010; Haibo Tong; Yao Liang; et al. (CoRR, 2025)

Exploiting High Performance Spiking Neural Networks With Efficient Spiking Patterns. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network. - Haoxiang Luo; Gang Sun 001; Yinqiu Liu; Dongcheng Zhao; Dusit Niyato; Hongfang Yu; Schahram Dustdar (CoRR, 2025)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Qingqun Kong; Xin Yang 001; Yi Zeng 001 (CoRR, 2025)

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking. - Sicheng Shen; Dongcheng Zhao; Linghao Feng; Zeyang Yue; Jindong Li 001; Tenglong Li; Guobin Shen; Yi Zeng 001 (CoRR, 2025)

FireFly-T: High-Throughput Sparsity Exploitation for Spiking Transformer Acceleration with Dual-Engine Overlay Architecture. - Tenglong Li; Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (CoRR, 2025)

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks. - Guobin Shen; Dongcheng Zhao; Linghao Feng; Xiang He 004; Jihang Wang; Sicheng Shen; Haibo Tong; Yiting Dong; Jindong Li 001; Xiang Zheng; Yi Zeng 001 (CoRR, 2025)

CVC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models. - Ping Wu; Guobin Shen; Dongcheng Zhao; Yuwei Wang; Yiting Dong; Yu Shi; Enmeng Lu; Feifei Zhao; Yi Zeng 001 (CoRR, 2025)

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. - Jindong Li 001; Tenglong Li; Ruiqi Chen; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (CoRR, 2025)

Fine-Grained Safety Neurons with Training-Free Continual Projection to Reduce LLM Fine Tuning Risks. - Bing Han 010; Feifei Zhao; Dongcheng Zhao; Guobin Shen; Ping Wu; Yu Shi; Yi Zeng 001 (CoRR, 2025)

Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble. - Jihang Wang; Dongcheng Zhao; Ruolin Chen; Qian Zhang; Yi Zeng (CoRR, 2025)

FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration With Reconfigurable Spatial Architecture. - Tenglong Li; Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)