Xiang He
Orcid: 0000-0001-9100-328XAffiliations:
- Chinese Academy of Sciences (CAS), Institute of Automation, Brain-inspired Cognitive Intelligence Lab, Beijing, China
- University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
According to our database1,
Xiang He
authored at least 16 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2022
2023
2024
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on braincog.ai
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on orcid.org
On csauthors.net:
Bibliography
2024
MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks.
Neural Comput. Appl., May, 2024
Spiking neural networks with consistent mapping relations allow high-accuracy inference.
Inf. Sci., 2024
CoRR, 2024
Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models.
CoRR, 2024
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
CoRR, 2024
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision.
CoRR, 2024
Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings.
CoRR, 2024
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks.
CoRR, 2023
Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer.
CoRR, 2023
2022
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation.
CoRR, 2022