Xuerui Qiu

Orcid: 0009-0000-8725-1619

According to our database1, Xuerui Qiu authored at least 17 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
SVL: Spike-based Vision-language Pretraining for Efficient 3D Open-world Understanding.
CoRR, May, 2025

Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking.
CoRR, May, 2025

Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation Training.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Safe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking.
CoRR, March, 2025

UniF<sup>2</sup>ace: Fine-grained Face Understanding and Generation with Unified Multimodal Models.
CoRR, March, 2025

Quantized Spike-driven Transformer.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Efficient 3D Recognition with Event-driven Spike Sparse Convolution.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Tensor decomposition based attention module for spiking neural networks.
Knowl. Based Syst., 2024

Scalable Autoregressive Image Generation with Mamba.
CoRR, 2024

Event-Driven Learning for Spiking Neural Networks.
CoRR, 2024

RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Using spiking neural networks to assist fine art and philology study: to classify styles of Chinese calligraphy with minimal computing power.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
OR Residual Connection Achieving Comparable Accuracy to ADD Residual Connection in Deep Residual Spiking Neural Networks.
CoRR, 2023

When Spiking Neural Networks Meet Temporal Attention Image Decoding and Adaptive Spiking Neuron.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023


  Loading...