Zheng Lin

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

Bibliography

2025
Sums: Sniffing Unknown Multiband Signals Under Low Sampling Rates.
IEEE Trans. Mob. Comput., September, 2025

DegDiT: Controllable Audio Generation with Dynamic Event Graph Guided Diffusion Transformer.
CoRR, August, 2025

SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression.
CoRR, August, 2025

SeamlessFlow: A Trainer Agent Isolation RL Framework Achieving Bubble-Free Pipelines via Tag Scheduling.
CoRR, August, 2025

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring.
CoRR, August, 2025

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing.
CoRR, July, 2025

KAT-V1: Kwai-AutoThink Technical Report.
CoRR, July, 2025

Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing.
CoRR, July, 2025

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation.
CoRR, June, 2025

HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems.
CoRR, June, 2025

DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection.
CoRR, May, 2025

Pipelining Split Learning in Multi-hop Edge Networks.
CoRR, May, 2025

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models.
CoRR, May, 2025

Dynamic Early Exit in Reasoning Models.
CoRR, April, 2025

SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM.
CoRR, April, 2025

SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework.
CoRR, April, 2025

SigChord: Sniffing Wide Non-sparse Multiband Signals for Terrestrial and Non-terrestrial Wireless Networks.
CoRR, April, 2025

FedSN: A Federated Learning Framework Over Heterogeneous LEO Satellite Networks.
IEEE Trans. Mob. Comput., March, 2025

Accelerating Federated Learning With Model Segmentation for Edge Networks.
IEEE Trans. Green Commun. Netw., March, 2025

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks.
CoRR, March, 2025

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning.
CoRR, March, 2025

Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?
CoRR, March, 2025

LEO Satellite Networks Assisted Geo-Distributed Data Processing.
IEEE Wirel. Commun. Lett., February, 2025

CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge.
CoRR, January, 2025

Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples.
CoRR, January, 2025

LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks.
CoRR, January, 2025

IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer.
IEEE Trans. Inf. Forensics Secur., 2025

SmartShot: Hunt Hidden Vulnerabilities in Smart Contracts using Mutable Snapshots.
Proc. ACM Softw. Eng., 2025

An empirical study of ChatGPT-related projects and their issues on GitHub.
Expert Syst. Appl., 2025

ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025

Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples.
Proceedings of the IEEE INFOCOM 2025, 2025

Cross-Environmental Website Fingerprinting.
Proceedings of the IEEE INFOCOM 2025, 2025

LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Exploring Salient Object Detection with Adder Neural Networks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Robust App Fingerprinting Over the Air.
IEEE/ACM Trans. Netw., December, 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

Hierarchical Split Federated Learning: Convergence Analysis and System Optimization.
CoRR, 2024

IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers.
CoRR, 2024

MERIT: Multimodal Wearable Vital Sign Waveform Monitoring.
CoRR, 2024

SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework.
CoRR, 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

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

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

Performance Evaluation for an Elevator by Analyzing the Vibration Data of the car.
Proceedings of the 9th International Symposium on System Security, Safety, and Reliability, 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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