Yiting Dong

According to our database, Yiting Dong authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Brain-inspired and Self-based Artificial Intelligence.

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

CoRR, 2024

Efficient Training Spiking Neural Networks with Parallel Spiking Unit.

Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng

CoRR, 2024

2023

BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation.

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

Patterns, August, 2023

An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections.

Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng

Neural Networks, August, 2023

Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling.

Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, Yi Zeng

CoRR, 2023

Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks.

Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng

CoRR, 2023

Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition.

Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng

CoRR, 2023

Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency.

Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng

CoRR, 2023

Dive into the Power of Neuronal Heterogeneity.

Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng

CoRR, 2023

Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future.

Yiting Dong, Dongcheng Zhao, Yi Zeng

CoRR, 2023

Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition.

Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bounded Universal Droop Control to Enable the Operation of Power Inverters Under Some Abnormal Conditions and Maintain Voltage and Frequency Within Predetermined Ranges.

Yiting Dong, Beibei Ren, Qing-Chang Zhong

IEEE Trans. Ind. Electron., 2022

An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections.

Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng

CoRR, 2022

Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation.

Yang Li, Xiang He, Yiting Dong, Qingqun Kong, Yi Zeng

CoRR, 2022

2021

Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback.

Linghuan Kong, Wei He, Yiting Dong, Long Cheng, Chenguang Yang, Zhijun Li

IEEE Trans. Syst. Man Cybern. Syst., 2021

Impedance Control for Coordinated Robots by State and Output Feedback.

Yiting Dong, Wei He, Linghuan Kong, Xiang Hua

IEEE Trans. Syst. Man Cybern. Syst., 2021

N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning.

Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng

CoRR, 2021

2020

Mapping of diseases from clinical medicine research - a visualization study.

Yilong Chen, Yiting Dong, Yu Zeng, Xiaoyan Yang, Jiantong Shen, Lang Zheng, Jingwen Jiang, Liming Pu, Qilin Bao

Scientometrics, 2020

Sustainable, Portable, and Efficient Electricity Delivery (SPEED): Design, Control, and Testing.

A. L. M. Sanka Liyanage, Yeqin Wang, Yiting Dong, Beibei Ren

IEEE Access, 2020

2019

Fuzzy Tracking Control for a Class of Uncertain MIMO Nonlinear Systems With State Constraints.

Wei He, Linghuan Kong, Yiting Dong, Yao Yu, Chenguang Yang, Changyin Sun

IEEE Trans. Syst. Man Cybern. Syst., 2019

UDE-Based Variable Impedance Control of Uncertain Robot Systems.

Yiting Dong, Beibei Ren

IEEE Trans. Syst. Man Cybern. Syst., 2019

Design and Adaptive Control for an Upper Limb Robotic Exoskeleton in Presence of Input Saturation.

Wei He, Zhijun Li, Yiting Dong, Ting Zhao

IEEE Trans. Neural Networks Learn. Syst., 2019

Bounded UDE-Based Control for a SLAM Equipped Quadrotor with Input Constraints.

Yafeng Wang, Yeqin Wang, Yiting Dong, Beibei Ren

Proceedings of the 2019 American Control Conference, 2019

2018

Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties.

Shuang Zhang, Yiting Dong, Yuncheng Ouyang, Zhao Yin, Kaixiang Peng

IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning.

Wei He, Yiting Dong

IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive Neural Network Control for Robotic Manipulators With Unknown Deadzone.

Wei He, Bo Huang, Yiting Dong, Zhijun Li, Chun-Yi Su

IEEE Trans. Cybern., 2018

UDE-based Robust Control for AC/DC Converters.

Yeqin Wang, Yiting Dong, Beibei Ren, Qing-Chang Zhong

Proceedings of the IECON 2018, 2018

2016

Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation.

Wei He, Yiting Dong, Changyin Sun

IEEE Trans. Syst. Man Cybern. Syst., 2016