Yiting Dong

According to our database, Yiting Dong authored at least 41 papers between 2016 and 2025.

Collaborative distances:

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

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

CoRR, June, 2025

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks.

Guobin Shen, Dongcheng Zhao, Linghao Feng, Xiang He, Jihang Wang, Sicheng Shen, Haibo Tong, Yiting Dong, Jindong Li, Xiang Zheng, Yi Zeng

CoRR, May, 2025

Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning.

Xiang He, Dongcheng Zhao, Yiting Dong, Guobin Shen, Xin Yang, Yi Zeng

CoRR, February, 2025

Improving stability and performance of spiking neural networks through enhancing temporal consistency.

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

Pattern Recognit., 2025

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models.

Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?

Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision.

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future.

Yiting Dong, Dongcheng Zhao, Yi Zeng

IEEE Trans. Artif. Intell., July, 2024

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models.

Yiting Dong, Guobin Shen, Dongcheng Zhao, Xiang He, Yi Zeng

CoRR, 2024

Brain-Inspired Stepwise Patch Merging for Vision Transformers.

Yong Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng

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

CoRR, 2024

Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings.

Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng

CoRR, 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

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction.

Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks.

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

Proceedings of the International Joint Conference on Neural Networks, 2024

Enhancing Few-Shot Learning in Spiking Neural Networks Through Hebbian-Augmented Associative Memory.

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

Proceedings of the Advances in Brain Inspired Cognitive Systems, 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

Dive into the Power of Neuronal Heterogeneity.

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