Dongcheng Zhao

108 papers A* 13A 3B 4C 1Journal 82Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network. IEEE Trans. Cogn. Commun. Netw. Haoxiang Luo, Gang Sun, Yinqiu Liu, Dongcheng Zhao, Dusit Niyato, Hongfang Yu, Schahram Dustdar
2026	A*	`conf`	Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble. AAAI Jihang Wang, Dongcheng Zhao, Ruolin Chen, Qian Zhang, Yi Zeng
2026	J	`jnl`	FireFly-P: FPGA-Accelerated Spiking Neural Network Plasticity for Robust Adaptive Control. CoRR Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2026	A	`conf`	Hummingbird+: Advancing FPGA-based LLM Deployment from Research Prototype to Edge Product. FPGA Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2026	J	`jnl`	Light Alignment Improves LLM Safety via Model Self-Reflection with a Single Neuron. CoRR Sicheng Shen, Mingyang Lv, Han Shen, Jialin Wu, Binghao Wang, Zhou Yang, Guobin Shen, Dongcheng Zhao, Feifei Zhao, Yi Zeng
2026	J	`jnl`	TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers. CoRR Sicheng Shen, Mingyang Lv, Bing Han, Dongcheng Zhao, Guobin Shen, Feifei Zhao, Yi Zeng
2026	J	`jnl`	Time-efficient task offloading and decentralized collaborative scheduling method for cross-domain computing power networks. Comput. Networks Dongcheng Zhao, Guangxia Xu, Gang Sun, Mohsen Guizani
2025	J	`jnl`	A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network. CoRR Haoxiang Luo, Gang Sun, Yinqiu Liu, Dongcheng Zhao, Dusit Niyato, Hongfang Yu, Schahram Dustdar
2025	J	`jnl`	Bidirectional Intention Inference Enhances LLMs' Defense Against Multi-Turn Jailbreak Attacks. CoRR Haibo Tong, Dongcheng Zhao, Guobin Shen, Xiang He, Dachuan Lin, Feifei Zhao, Yi Zeng
2025	J	`jnl`	Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism. CoRR Linghao Feng, Dongcheng Zhao, Sicheng Shen, Yi Zeng
2025	J	`jnl`	Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble. CoRR Jihang Wang, Dongcheng Zhao, Ruolin Chen, Qian Zhang, Yi Zeng
2025	A*	`conf`	Brain-Inspired Stepwise Patch Merging for Vision Transformers. IJCAI Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng
2025	J	`jnl`	CVC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models. CoRR Ping Wu, Guobin Shen, Dongcheng Zhao, Yuwei Wang, Yiting Dong, Yu Shi, Enmeng Lu, Feifei Zhao, Yi Zeng
2025	J	`jnl`	Efficient LLM Safety Evaluation through Multi-Agent Debate. CoRR Dachuan Lin, Guobin Shen, Zihao Yang, Tianrong Liu, Dongcheng Zhao, Yi Zeng
2025	J	`jnl`	Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning. CoRR Xiang He, Dongcheng Zhao, Yiting Dong, Guobin Shen, Xin Yang, Yi Zeng
2025	A*	`conf`	EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. AAAI Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng
2025	J	`jnl`	Exploiting High Performance Spiking Neural Networks With Efficient Spiking Patterns. IEEE Trans. Emerg. Top. Comput. Intell. Guobin Shen, Dongcheng Zhao, Yi Zeng
2025	J	`jnl`	Fine-Grained Safety Neurons with Training-Free Continual Projection to Reduce LLM Fine Tuning Risks. CoRR Bing Han, Feifei Zhao, Dongcheng Zhao, Guobin Shen, Ping Wu, Yu Shi, Yi Zeng
2025	J	`jnl`	FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration With Reconfigurable Spatial Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2025	J	`jnl`	FireFly-T: High-Throughput Sparsity Exploitation for Spiking Transformer Acceleration with Dual-Engine Overlay Architecture. CoRR Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2025	A	`conf`	Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. ICCAD Jindong Li, Tenglong Li, Ruiqi Chen, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2025	J	`jnl`	Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. CoRR Jindong Li, Tenglong Li, Ruiqi Chen, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2025	J	`jnl`	Improving stability and performance of spiking neural networks through enhancing temporal consistency. Pattern Recognit. Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng
2025	J	`jnl`	Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence. CoRR Xiang He, Dongcheng Zhao, Yang Li, Qingqun Kong, Xin Yang, Yi Zeng
2025	A*	`conf`	Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. ICLR Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng
2025	J	`jnl`	PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks. CoRR Guobin Shen, Dongcheng Zhao, Linghao Feng, Xiang He, Jihang Wang, Sicheng Shen, Haibo Tong, Yiting Dong, Jindong Li, Xiang Zheng, Yi Zeng
2025	A	`conf`	Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA. DATE Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2025	J	`jnl`	Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA. CoRR Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2025	J	`jnl`	Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society. CoRR Yi Zeng, Feifei Zhao, Yuwei Wang, Enmeng Lu, Yaodong Yang, Lei Wang, Chao Liu, Yitao Liang, Dongcheng Zhao, Bing Han, Haibo Tong, Yao Liang, Dongqi Liang, Kang Sun, Boyuan Chen, Jinyu Fan
2025	J	`jnl`	STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking. CoRR Sicheng Shen, Dongcheng Zhao, Linghao Feng, Zeyang Yue, Jindong Li, Tenglong Li, Guobin Shen, Yi Zeng
2025	J	`jnl`	Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense. CoRR Guobin Shen, Dongcheng Zhao, Haibo Tong, Jindong Li, Feifei Zhao, Yi Zeng
2025	A*	`conf`	StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? AAAI Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng
2025	J	`jnl`	Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks. CoRR Jihang Wang, Dongcheng Zhao, Ruolin Chen, Qian Zhang, Yi Zeng
2024	A*	`conf`	An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. AAAI Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng
2024	A*	`conf`	Are Conventional SNNs Really Efficient? A Perspective from Network Quantization. CVPR Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng
2024	J	`jnl`	Brain-Inspired Stepwise Patch Merging for Vision Transformers. CoRR Yong Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng
2024	J	`jnl`	Brain-inspired and Self-based Artificial Intelligence. CoRR 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
2024	A*	`conf`	CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. ACM Multimedia Xiang He, Xiangxi Liu, Yang Li, Dongcheng Zhao, Guobin Shen, Qingqun Kong, Xin Yang, Yi Zeng
2024	J	`jnl`	CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. CoRR Xiang He, Xiangxi Liu, Yang Li, Dongcheng Zhao, Guobin Shen, Qingqun Kong, Xin Yang, Yi Zeng
2024	J	`jnl`	Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient. CoRR Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	Directly training temporal Spiking Neural Network with sparse surrogate gradient. Neural Networks Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	Efficient Training Spiking Neural Networks with Parallel Spiking Unit. CoRR Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng
2024	—	`conf`	Enhancing Few-Shot Learning in Spiking Neural Networks Through Hebbian-Augmented Associative Memory. BICS (1) Weiyi Li, Dongcheng Zhao, Yiting Dong, Guobin Shen, Yi Zeng
2024	—	`conf`	Enhancing Spiking Transformers with Binary Attention Mechanisms. Tiny Papers @ ICLR Guobin Shen, Dongcheng Zhao, Sicheng Shen, Yi Zeng
2024	J	`jnl`	EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. CoRR Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng
2024	J	`jnl`	Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. Neural Networks Guobin Shen, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2024	J	`jnl`	FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration with Reconfigurable Spatial Architecture. CoRR Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2024	J	`jnl`	Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models. CoRR Yiting Dong, Guobin Shen, Dongcheng Zhao, Xiang He, Yi Zeng
2024	J	`jnl`	Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. CoRR Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng
2024	J	`jnl`	MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. Neural Comput. Appl. Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng
2024	A*	`conf`	Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction. NeurIPS Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng
2024	J	`jnl`	Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings. CoRR Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng
2024	—	`conf`	Optimized Service Function Deployment in Edge Computing Networks Using Deep Reinforcement Learning. ACAI Liuwei Huo, Bowen Zhu, Dongcheng Zhao
2024	B	`conf`	Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. IJCNN Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng
2024	B	`conf`	Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. FPL Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2024	J	`jnl`	Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. CoRR Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2024	J	`jnl`	Spiking generative adversarial network with attention scoring decoding. Neural Networks Linghao Feng, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? CoRR Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng
2024	A*	`conf`	TIM: An Efficient Temporal Interaction Module for Spiking Transformer. IJCAI Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng
2024	J	`jnl`	TIM: An Efficient Temporal Interaction Module for Spiking Transformer. CoRR Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng
2024	J	`jnl`	Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future. IEEE Trans. Artif. Intell. Yiting Dong, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation. CoRR Linghao Feng, Dongcheng Zhao, Sicheng Shen, Yiting Dong, Guobin Shen, Yi Zeng
2023	J	`jnl`	An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Neural Networks Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
2023	J	`jnl`	Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling. CoRR Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, Yi Zeng
2023	J	`jnl`	BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. Patterns 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
2023	A*	`conf`	Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. NeurIPS Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
2023	J	`jnl`	Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. CoRR Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
2023	J	`jnl`	Dive into the Power of Neuronal Heterogeneity. CoRR Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng
2023	J	`jnl`	EventMix: An efficient data augmentation strategy for event-based learning. Inf. Sci. Guobin Shen, Dongcheng Zhao, Yi Zeng
2023	J	`jnl`	Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns. CoRR Guobin Shen, Dongcheng Zhao, Yi Zeng
2023	J	`jnl`	FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network with a Spatiotemporal FPGA Accelerator. CoRR Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2023	J	`jnl`	FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. IEEE Trans. Very Large Scale Integr. Syst. Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
2023	J	`jnl`	FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks. CoRR Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Zeng Yi
2023	J	`jnl`	Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency. CoRR Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng
2023	J	`jnl`	Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. CoRR Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng
2023	J	`jnl`	Is Conventional SNN Really Efficient? A Perspective from Network Quantization. CoRR Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng
2023	J	`jnl`	MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. CoRR Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng
2023	J	`jnl`	Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. CoRR Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng
2023	J	`jnl`	Spiking Generative Adversarial Network with Attention Scoring Decoding. CoRR Linghao Feng, Dongcheng Zhao, Yi Zeng
2023	J	`jnl`	Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future. CoRR Yiting Dong, Dongcheng Zhao, Yi Zeng
2022	—	`conf`	A Machine Learning Method and Device Based on Programmable Switch. ICSS Congcong Min, Dongcheng Zhao, Hua Lu
2022	J	`jnl`	An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. CoRR Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
2022	J	`jnl`	BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. Neural Networks Dongcheng Zhao, Yi Zeng, Yang Li
2022	J	`jnl`	Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns Guobin Shen, Dongcheng Zhao, Yi Zeng
2022	J	`jnl`	BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation. CoRR 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
2022	J	`jnl`	EventMix: An Efficient Augmentation Strategy for Event-Based Data. CoRR Guobin Shen, Dongcheng Zhao, Yi Zeng
2022	J	`jnl`	Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. Inf. Sci. Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang
2022	—	`conf`	The Processing Method of the Message Based on the In-band Network Telemetry Technology. ICSS Congcong Min, Dongcheng Zhao, Hua Lu
2021	J	`jnl`	BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. CoRR Yang Li, Yi Zeng, Dongcheng Zhao
2021	J	`jnl`	BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons. CoRR Dongcheng Zhao, Yi Zeng, Yang Li
2021	J	`jnl`	Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks. CoRR Guobin Shen, Dongcheng Zhao, Yi Zeng
2021	J	`jnl`	N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. CoRR Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng
2021	J	`jnl`	Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks. Clust. Comput. Dongcheng Zhao, Long Luo, Hongfang Yu, Victor Chang, Rajkumar Buyya, Gang Sun
2021	J	`jnl`	Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules. CoRR Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang
2020	J	`jnl`	A Brain-Inspired Model of Theory of Mind. Frontiers Neurorobotics Yi Zeng, Yuxuan Zhao, Tielin Zhang, Dongcheng Zhao, Feifei Zhao, Enmeng Lu
2020	J	`jnl`	GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. Frontiers Comput. Neurosci. Dongcheng Zhao, Yi Zeng, Tielin Zhang, Mengting Shi, Feifei Zhao
2019	B	`conf`	Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. IJCNN Dongcheng Zhao, Yi Zeng
2019	J	`jnl`	Mobile-aware service function chain migration in cloud-fog computing. Future Gener. Comput. Syst. Dongcheng Zhao, Gang Sun, Dan Liao, Shizhong Xu, Victor Chang
2019	J	`jnl`	On Orchestrating Service Function Chains in 5G Mobile Network. IEEE Access Dongcheng Zhao, Jing Ren, Rongping Lin, Shizhong Xu, Victor Chang
2018	A*	`conf`	A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. AAAI Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi
2018	A*	`conf`	Brain-inspired Balanced Tuning for Spiking Neural Networks. IJCAI Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu
2018	J	`jnl`	Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers. IEEE Trans. Serv. Comput. Gang Sun, Dan Liao, Dongcheng Zhao, Zichuan Xu, Hongfang Yu
2018	J	`jnl`	Towards Resource-Efficient Service Function Chain Deployment in Cloud-Fog Computing. IEEE Access Dongcheng Zhao, Dan Liao, Gang Sun, Shizhong Xu
2018	J	`jnl`	Towards provisioning hybrid virtual networks in federated cloud data centers. Future Gener. Comput. Syst. Gang Sun, Dan Liao, Dongcheng Zhao, Zhili Sun, Victor I. Chang
2017	C	`conf`	Live Migration for Service Function Chaining. IoTBDS Dongcheng Zhao, Gang Sun, Dan Liao, Rahat Iqbal, Victor Chang
2016	J	`jnl`	A new technique for efficient live migration of multiple virtual machines. Future Gener. Comput. Syst. Gang Sun, Dan Liao, Vishal Anand, Dongcheng Zhao, Hongfang Yu
2016	B	`conf`	HMSNN: Hippocampus inspired Memory Spiking Neural Network. SMC Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu