Zekai Xu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing.
CoRR, May, 2026

URRel : Joint Entity and Relation Extraction in Chinese Medical Texts via Unified Representation and Reinforcement Learning With Overlapping Relations.
Expert Syst. J. Knowl. Eng., 2026

Selective Diffusion Distillation for Real-World High-Scale Image Super-Resolution.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Distribution Dynamic Operating Security Space Characterization for Aggregation and Congestion Capacity Evaluation of Virtual Power Plant.
IEEE Trans. Smart Grid, September, 2025

Research and Application of the Data Model System in MBSE.
IEEE Access, 2025

EvRAW: Event-guided Structural and Color Modeling for RAW-to-sRGB Image Reconstruction.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Exploring Design Strategies for Brand Visual Innovation in Cross-Cultural Contexts: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area.
Proceedings of the HCI International 2025 - Late Breaking Papers, 2025


2024
Evolving Virtual World with Delta-Engine.
CoRR, 2024

Robot Generating Data for Learning Generalizable Visual Robotic Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Improvements on Recommender System based on Mathematical Principles.
CoRR, 2023

2022
Delving into Transformer for Incremental Semantic Segmentation.
CoRR, 2022

Towards Domain Generalization in Object Detection.
CoRR, 2022

2020
Self-learning based medical image representation for rigid real-time and multimodal slice-to-volume registration.
Inf. Sci., 2020

2019
Real-time and multimodal brain slice-to-volume registration using CNN.
Expert Syst. Appl., 2019


  Loading...