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ORCIDYiting Dong
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2020 – today
- 2024
[j15]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)- [c4]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 - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]Yong Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng:
Brain-Inspired Stepwise Patch Merging for Vision Transformers. CoRR abs/2409.06963 (2024) - [i11]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
- [j14]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) - [j13]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) - [c3]Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng:
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. NeurIPS 2023 - [i10]Yiting Dong, Dongcheng Zhao, Yi Zeng:
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future. CoRR abs/2304.06540 (2023) - [i9]Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng:
Dive into the Power of Neuronal Heterogeneity. CoRR abs/2305.11484 (2023) - [i8]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) - [i7]Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng:
Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. CoRR abs/2306.11546 (2023) - [i6]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) - [i5]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]Yiting Dong, Beibei Ren, Qing-Chang Zhong:
Bounded Universal Droop Control to Enable the Operation of Power Inverters Under Some Abnormal Conditions and Maintain Voltage and Frequency Within Predetermined Ranges. IEEE Trans. Ind. Electron. 69(11): 11633-11643 (2022) - [i4]Yang Li, Xiang He, Yiting Dong, Qingqun Kong, Yi Zeng:
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation. CoRR abs/2207.02702 (2022) - [i3]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) - [i2]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
- [j11]Linghuan Kong, Wei He, Yiting Dong, Long Cheng, Chenguang Yang, Zhijun Li:
Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1735-1746 (2021) - [j10]Yiting Dong, Wei He, Linghuan Kong, Xiang Hua:
Impedance Control for Coordinated Robots by State and Output Feedback. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 5056-5066 (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
- [j9]A. L. M. Sanka Liyanage, Yeqin Wang, Yiting Dong, Beibei Ren:
Sustainable, Portable, and Efficient Electricity Delivery (SPEED): Design, Control, and Testing. IEEE Access 8: 73082-73095 (2020) - [j8]Yilong Chen, Yiting Dong, Yu Zeng, Xiaoyan Yang, Jiantong Shen, Lang Zheng, Jingwen Jiang, Liming Pu, Qilin Bao:
Mapping of diseases from clinical medicine research - a visualization study. Scientometrics 125(1): 171-185 (2020)
2010 – 2019
- 2019
- [j7]Wei He, Zhijun Li, Yiting Dong, Ting Zhao:
Design and Adaptive Control for an Upper Limb Robotic Exoskeleton in Presence of Input Saturation. IEEE Trans. Neural Networks Learn. Syst. 30(1): 97-108 (2019) - [j6]Wei He, Linghuan Kong, Yiting Dong, Yao Yu, Chenguang Yang, Changyin Sun:
Fuzzy Tracking Control for a Class of Uncertain MIMO Nonlinear Systems With State Constraints. IEEE Trans. Syst. Man Cybern. Syst. 49(3): 543-554 (2019) - [j5]Yiting Dong, Beibei Ren:
UDE-Based Variable Impedance Control of Uncertain Robot Systems. IEEE Trans. Syst. Man Cybern. Syst. 49(12): 2487-2498 (2019) - [c2]Yafeng Wang, Yeqin Wang, Yiting Dong, Beibei Ren:
Bounded UDE-Based Control for a SLAM Equipped Quadrotor with Input Constraints. ACC 2019: 3117-3122 - 2018
- [j4]Wei He, Bo Huang, Yiting Dong, Zhijun Li, Chun-Yi Su:
Adaptive Neural Network Control for Robotic Manipulators With Unknown Deadzone. IEEE Trans. Cybern. 48(9): 2670-2682 (2018) - [j3]Wei He, Yiting Dong:
Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1174-1186 (2018) - [j2]Shuang Zhang, Yiting Dong, Yuncheng Ouyang, Zhao Yin, Kaixiang Peng:
Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5554-5564 (2018) - [c1]Yeqin Wang, Yiting Dong, Beibei Ren, Qing-Chang Zhong:
UDE-based Robust Control for AC/DC Converters. IECON 2018: 1550-1555 - 2016
- [j1]Wei He, Yiting Dong, Changyin Sun:
Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation. IEEE Trans. Syst. Man Cybern. Syst. 46(3): 334-344 (2016)
Coauthor Index
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