Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation. - Wei He 001; Yiting Dong; Changyin Sun 001 (IEEE Trans. Syst. Man Cybern. Syst., 2016)

UDE-based Robust Control for AC/DC Converters. - Yeqin Wang; Yiting Dong; Beibei Ren; Qing-Chang Zhong (IECON, 2018)

Adaptive Neural Network Control for Robotic Manipulators With Unknown Deadzone. - Wei He 001; Bo Huang 009; Yiting Dong; Zhijun Li 001; Chun-Yi Su (IEEE Trans. Cybern., 2018)

Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning. - Wei He 001; Yiting Dong (IEEE Trans. Neural Networks Learn. Syst., 2018)

Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties. - Shuang Zhang 001; Yiting Dong; Yuncheng Ouyang; Zhao Yin; Kaixiang Peng (IEEE Trans. Neural Networks Learn. Syst., 2018)

Bounded UDE-Based Control for a SLAM Equipped Quadrotor with Input Constraints. - Yafeng Wang; Yeqin Wang; Yiting Dong; Beibei Ren (ACC, 2019)

Design and Adaptive Control for an Upper Limb Robotic Exoskeleton in Presence of Input Saturation. - Wei He 001; Zhijun Li 001; Yiting Dong; Ting Zhao (IEEE Trans. Neural Networks Learn. Syst., 2019)

UDE-Based Variable Impedance Control of Uncertain Robot Systems. - Yiting Dong; Beibei Ren (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Fuzzy Tracking Control for a Class of Uncertain MIMO Nonlinear Systems With State Constraints. - Wei He 001; Linghuan Kong; Yiting Dong; Yao Yu 003; Chenguang Yang 001; Changyin Sun 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

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)

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)

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)

Impedance Control for Coordinated Robots by State and Output Feedback. - Yiting Dong; Wei He 001; Linghuan Kong; Xiang Hua (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback. - Linghuan Kong; Wei He 001; Yiting Dong; Long Cheng 001; Chenguang Yang 001; Zhijun Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation. - Yang Li 141; Xiang He 004; Yiting Dong; Qingqun Kong; 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)

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)

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)

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)

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)

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)

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)

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)

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

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)

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)

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)