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)

Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Guobin Shen; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. - Xiang He 004; Yang Li 141; Dongcheng Zhao; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Guobin Shen; Qingqun Kong; Yi Zeng 001 (AAAI, 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)

CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. - Xiang He 004; Xiangxi Liu; Yang Li 141; Dongcheng Zhao; Guobin Shen; Qingqun Kong; Xin Yang 001; Yi Zeng 001 (ACM Multimedia, 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)

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)

Spiking neural networks with consistent mapping relations allow high-accuracy inference. - Yang Li 141; Xiang He 004; Qingqun Kong; Yi Zeng 001 (Inf. Sci., 2024)

MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. - Xiang He 004; Yang Li 141; Dongcheng Zhao; Qingqun Kong; Yi Zeng 001 (Neural Comput. Appl., 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)

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)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Qingqun Kong; 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)