Xiang He

Orcid: 0000-0001-9100-328X

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2022
2023
2024
0
5
10
15
9
2
1
4

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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

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

Brain-inspired and Self-based Artificial Intelligence.
CoRR, 2024

Efficient Training Spiking Neural Networks with Parallel Spiking Unit.
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

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks.
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


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