Zihan Fang

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.

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IEEE Trans. Mob. Comput., September, 2025

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

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CoRR, August, 2025

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring.

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CoRR, August, 2025

Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing.

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CoRR, August, 2025

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

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CoRR, July, 2025

LargeMvC-Net: Anchor-based Deep Unfolding Network for Large-scale Multi-view Clustering.

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CoRR, July, 2025

Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing.

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CoRR, July, 2025

Scalable multi-modal representation learning networks.

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Artif. Intell. Rev., July, 2025

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

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CoRR, May, 2025

Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge.

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CoRR, April, 2025

FedSN: A Federated Learning Framework Over Heterogeneous LEO Satellite Networks.

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IEEE Trans. Mob. Comput., March, 2025

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks.

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CoRR, March, 2025

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning.

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CoRR, March, 2025

CP-Guard+: A New Paradigm for Malicious Agent Detection and Defense in Collaborative Perception.

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CoRR, February, 2025

LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks.

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CoRR, January, 2025

MOAL: Multi-view Out-of-distribution Awareness Learning.

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Neural Networks, 2025

Optimization-oriented multi-view representation learning in implicit bi-topological spaces.

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Inf. Sci., 2025

ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks.

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Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025

A Comparative Study on ChatGPT and Checklist as Support Tools for Unit Testing Education.

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Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

OpenViewer: Openness-Aware Multi-View Learning.

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Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

IMPRL-Net: interpretable multi-view proximity representation learning network.

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[DOI]

Neural Comput. Appl., August, 2024

Self-Supervised Multi-Modal Learning for Collaborative Robotic Grasp-Throw.

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[DOI]

Yanxu Hou

Zihan Fang

Jun Li

IEEE Robotics Autom. Lett., May, 2024

Extracting Typical Samples Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map.

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[DOI]

Remote. Sens., April, 2024

Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL).

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Remote. Sens., January, 2024

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network.

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Neural Networks, January, 2024

Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View.

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IEEE Trans. Multim., 2024

Constructing Soil-Landscape Units Based on Slope Position and Land Use to Improve Soil Prediction Accuracy.

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[DOI]

Remote. Sens., 2024

"Math is a pain!": Understanding challenges and needs of the Machine Learning community on Stack Overflow.

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[DOI]

Zihan Fang

Yu Huang

Proc. ACM Hum. Comput. Interact., 2024

Attention-based stackable graph convolutional network for multi-view learning.

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[DOI]

Neural Networks, 2024

Multi-view heterogeneous graph learning with compressed hypergraph neural networks.

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[DOI]

Neural Networks, 2024

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

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CoRR, 2024

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

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CoRR, 2024

AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging.

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CoRR, 2024

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

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[DOI]

CoRR, 2024

SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing.

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CoRR, 2024

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

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CoRR, 2024

AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning.

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CoRR, 2024

Beyond the Known: Ambiguity-Aware Multi-view Learning.

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Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Multi-Angle Imaging Method Base on Improved Range Migration Algorithm for Airborne MIMO-SAR.

[BibT_eX]

[DOI]

Fang Zhou

Guoqing Shen

Zihan Fang

Proceedings of the IGARSS 2024, 2024

2023

DBO-Net: Differentiable bi-level optimization network for multi-view clustering.

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Inf. Sci., May, 2023

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

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CoRR, 2023

A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention.

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Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.

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Proceedings of the 31st ACM International Conference on Multimedia, 2023

DMRL-Net: Differentiable Multi-view Representation Learning Network.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Graph Learning for Multi-Satellite based Spectrum Sensing.

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Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022

Delay Compensated One-Way Time Synchronization in Distributed Wireless Sensor Networks.

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[DOI]

Zihan Fang

Yue Gao

IEEE Wirel. Commun. Lett., 2022

Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging.

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[DOI]

Sensors, 2022

Landscape Classification System Based on RKM Clustering for Soil Survey UAV Images-Case Study of the Small Hilly Areas in Jurong City.

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Sensors, 2022

Contrastive Consensus Graph Learning for Multi-View Clustering.

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IEEE CAA J. Autom. Sinica, 2022

2020

Focus on the Visible Regions: Semantic-Guided Alignment Model for Occluded Person Re-Identification.

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Sensors, 2020

An Initialization Method of Deep Q-network for Learning Acceleration of Robotic Grasp.

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Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Zihan Fang

Bibliography

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