Likun Zhang

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

Bibliography

2026
Nexus: Transparent I/O Offloading for High-Density Serverless Computing.
CoRR, April, 2026

Wireless Laser Power Transfer for Low-Altitude Uncrewed Aerial Vehicle-Assisted Internet of Things: Paradigms, Challenges, and Solutions.
IEEE Internet Things Mag., March, 2026

Covariance-Driven Regression Trees: Reducing Overfitting in CART.
CoRR, January, 2026

Age of Information Optimization in Laser-Charged UAV-Assisted IoT Networks: A Multi-Agent Deep Reinforcement Learning Method.
IEEE Trans. Netw. Sci. Eng., 2026

2025
Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders.
CoRR, December, 2025

Interaction Tests With Covariate-Adaptive Randomization.
Stat. Anal. Data Min., February, 2025

AutoMR: A Universal Time Series Motion Recognition Pipeline.
CoRR, February, 2025

Enhancing Smart Classroom Evaluation With Blockchain and PBFT.
IET Blockchain, 2025

Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Privacy Assessment of Text-to-Image Models via Enhanced Membership Inference Attack.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Deep image watermarking with loss-driven modification.
Multim. Tools Appl., April, 2024

A multi-level collaborative self-distillation learning for improving adaptive inference efficiency.
Complex Intell. Syst., 2024

CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual content.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Interpreting Memorization in Deep Learning from Data Distribution.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Flexible and efficient spatial extremes emulation via variational autoencoders.
CoRR, 2023

Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Sensitivity-aware and Block-wise Pruning Method for Privacy-preserving Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2023

An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020
Sequential binary code selection for robust object tracking.
Multim. Tools Appl., 2020

Computing confidence intervals from massive data via penalized quantile smoothing splines.
Comput. Stat. Data Anal., 2020

Input Perturbation: A New Paradigm between Central and Local Differential Privacy.
CoRR, 2020

A Framework to Preserve User Privacy for Machine Learning as a Service.
Proceedings of the IEEE Global Communications Conference, 2020

Membership Inference Attacks against MemGuard : IEEE CNS 20 Poster.
Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

2018
The Collaborative System Workflow Management of Industrial Design Based on Hierarchical Colored Petri-Net.
IEEE Access, 2018

2011
Visual Attention Model with Cross-Layer Saliency Optimization.
Proceedings of the Seventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2011


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