Xiufeng Huang

Orcid: 0000-0002-9763-4848

According to our database1, Xiufeng Huang authored at least 17 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
YuFeng-XGuard: A Reasoning-Centric, Interpretable, and Flexible Guardrail Model for Large Language Models.
CoRR, January, 2026

2025
Unified Steganography via Implicit Neural Representation.
CoRR, May, 2025

MarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Impact Load Localization Based on Multi-Scale Feature Fusion Convolutional Neural Network.
Sensors, September, 2024

Impact Localization in Complex Cylindrical Shell Structures Based on the Time-Reversal Virtual Focusing Triangulation Method.
Sensors, August, 2024

QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning.
IEEE Trans. Mob. Comput., May, 2024

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Research on structural sound source localization method by neural network.
EURASIP J. Adv. Signal Process., 2023

2022
Importance-Aware Data Pre-Processing and Device Scheduling for Multi-Channel Edge Learning.
J. Commun. Inf. Networks, December, 2022

Importance-Aware Message Exchange and Prediction for Multi-Agent Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2022

2020
Dynamic Compression Ratio Selection for Edge Inference Systems With Hard Deadlines.
IEEE Internet Things J., 2020

Edge Learning with Timeliness Constraints: Challenges and Solutions.
IEEE Commun. Mag., 2020

Latency Guaranteed Edge Inference via Dynamic Compression Ratio Selection.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Adaptive Transmission for Edge Learning via Training Loss Estimation.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2018
Video to fully automatic 3D hair model.
ACM Trans. Graph., 2018


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