Zheng Lin

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

Bibliography

2024
Efficient Parallel Split Learning Over Resource-Constrained Wireless Edge Networks.
IEEE Trans. Mob. Comput., October, 2024

Split Learning in 6G Edge Networks.
IEEE Wirel. Commun., August, 2024

Research on Fault Prediction Method of Elevator Door System Based on Transfer Learning.
Sensors, April, 2024

Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate.
CoRR, 2024

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey.
CoRR, 2024

SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models.
CoRR, 2024

LEO Satellite Networks Assisted Geo-distributed Data Processing.
CoRR, 2024

Sums: Sniffing Unknown Multiband Signals under Low Sampling Rates.
CoRR, 2024

SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing.
CoRR, 2024

TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading.
CoRR, 2024

IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer.
CoRR, 2024

Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models.
CoRR, 2024

An Empirical Study of ChatGPT-related projects on GitHub.
CoRR, 2024

FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data.
CoRR, 2024

AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks.
CoRR, 2024

DNSScope: Fine-Grained DNS Cache Probing for Remote Network Activity Characterization.
Proceedings of the IEEE INFOCOM 2024, 2024

TrimCaching: Parameter-Sharing AI Model Caching in Wireless Edge Networks.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls.
Proceedings of the 2024 Workshop on Adaptive AIoT Systems, 2024

AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices.
Proceedings of the 2024 Workshop on Adaptive AIoT Systems, 2024

2023
ET-DM: Text to image via diffusion model with efficient Transformer.
Displays, December, 2023

Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area.
Comput. Biol. Medicine, September, 2023

Bitcoin Price Manipulation Regulation from a Game Perspective.
J. Soc. Comput., 2023

FedSN: A General Federated Learning Framework over LEO Satellite Networks.
CoRR, 2023

Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities.
CoRR, 2023

Graph Learning for Multi-Satellite based Spectrum Sensing.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Optimal Resource Allocation for U-Shaped Parallel Split Learning.
Proceedings of the IEEE Globecom Workshops 2023, 2023

2022
Non-position-based UAV trajectory optimization for coverage maximization.
Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022

2021
BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2006
Time-varying closed-loop modeling of autonomic control in pediatric Obstructive Sleep Apnea Syndrome during cold face stimulation.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2000
Unseeded Region Growing for 3D Image Segmentation.
Proceedings of the Visualisation 2000, 2000


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