Zihan Fang

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

Bibliography

2026

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

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[DOI]

IEEE Trans. Mob. Comput., June, 2026

V2XCrafter: Learning to Generate Driving Scene Across Agents.

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[DOI]

CoRR, May, 2026

Hera: Learning Long-Horizon Coordination for Device-Cloud Collaborative LLM Agents.

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[DOI]

CoRR, May, 2026

Collaborative Air-Ground Sensing, Communication, Computing, Storage, and Intelligence for Low-Altitude Economy.

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[DOI]

CoRR, May, 2026

CA3D: Computing Accessibility-Aware Cooperative 3D Deployment of Multiple UAVs.

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[DOI]

CoRR, May, 2026

FluxShard: Motion-Aware Feature Cache Reuse for Collaborative Video Analytics in Mobile Edge Computing.

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[DOI]

CoRR, May, 2026

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification.

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[DOI]

CoRR, April, 2026

SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression.

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[DOI]

CoRR, April, 2026

Programming by Chat: A Large-Scale Behavioral Analysis of 11,579 Real-World AI-Assisted IDE Sessions.

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[DOI]

CoRR, April, 2026

Investigating the Feasibility of Conducting Webcam-Based Eye-Tracking Studies in Code Comprehension.

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[DOI]

IEEE Trans. Software Eng., March, 2026

Be Reliable: An Interpretable Attribute-Oriented Representation Learning Framework.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2026

Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity.

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[DOI]

CoRR, March, 2026

Exploiting Adaptive Channel Pruning for Communication-Efficient Split Learning.

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[DOI]

CoRR, March, 2026

Transformer-Based Multipath Congestion Control: A Decoupled Approach for Wireless Uplinks.

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[DOI]

CoRR, March, 2026

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

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[DOI]

IEEE Trans. Mob. Comput., February, 2026

SIDeR: Semantic Identity Decoupling for Unrestricted Face Privacy.

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[DOI]

CoRR, February, 2026

NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning.

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[DOI]

CoRR, February, 2026

Conflict-Aware Client Selection for Multi-Server Federated Learning.

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[DOI]

CoRR, February, 2026

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning.

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[DOI]

IEEE Trans. Mob. Comput., January, 2026

HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts.

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[DOI]

CoRR, January, 2026

Revisiting multi-view semi-supervised classification: a reinforcement learning perspective.

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[DOI]

Appl. Intell., January, 2026

An Explainable and Flexible Plug-and-Play Multi-View Representation Learning Network.

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[DOI]

IEEE Trans. Netw. Sci. Eng., 2026

Interpretable Multi-View Representation Learning Towards Complex Scenes: From Homogeneity to Heterogeneity.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2026

SOI-Net: Structural Optimization-Inspired Interpretable Network for Incomplete Multi-View Clustering.

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[DOI]

IEEE Trans. Multim., 2026

SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing.

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[DOI]

IEEE Trans. Cogn. Commun. Netw., 2026

Nagisa: A reversible privacy preservation scheme against facial soft-biometric attributes recognition.

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[DOI]

Pattern Recognit., 2026

Contribution Patterns in Open Source Software for Social Good: Dynamics, Individuals, and Impact CSCW010.

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[DOI]

Proc. ACM Hum. Comput. Interact., 2026

Beyond local aggregation: Global graph contrastive learning for multi-view fusion.

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[DOI]

Neural Networks, 2026

Attention meets convolution: Dual-channel multi-view fusion network.

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[DOI]

Inf. Sci., 2026

An interpretable deep unfolding framework for multi-view representation learning.

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[DOI]

Inf. Fusion, 2026

Prior-constrained multi-view clustering with evidence theory.

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[DOI]

Neurocomputing, 2026

DIN: Dual Impulse Network for Multi-view Representation Learning.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Unifying Multi-View Knowledge for Graph Learning via Model Collaboration.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems.

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[DOI]

CoRR, November, 2025

DPO-F+: Aligning Code Repair Feedback with Developers' Preferences.

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CoRR, November, 2025

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

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[DOI]

IEEE Trans. Mob. Comput., October, 2025

A Universal Interpretable Multiview Clustering Framework: From Homogeneity to Heterogeneity.

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[DOI]

IEEE Trans. Comput. Soc. Syst., October, 2025

SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers.

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[DOI]

CoRR, October, 2025

Sums: Sniffing Unknown Multiband Signals Under Low Sampling Rates.

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[DOI]

IEEE Trans. Mob. Comput., September, 2025

Distribution-Aligned Decoding for Efficient LLM Task Adaptation.

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CoRR, September, 2025

Sample Efficient Experience Replay in Non-stationary Environments.

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CoRR, September, 2025

LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning.

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[DOI]

CoRR, September, 2025

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

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[DOI]

CoRR, August, 2025

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring.

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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

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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[DOI]

Artif. Intell. Rev., July, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., March, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

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[DOI]

Neural Networks, 2025

Order-flexible graph attention network for multi-view subspace clustering.

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[DOI]

Knowl. Based Syst., 2025

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

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[DOI]

Inf. Sci., 2025

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

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[DOI]

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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[DOI]

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

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

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[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

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[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CodeACT-R: A Cognitive Simulation Framework for Human Attention in Code Reading.

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Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

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

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[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

NouMenn: Accurate Reconstructive Privacy Protection for Facial Soft Attributes via Style Code.

[BibT_eX]

[DOI]

Zihan Fang

Biao Jin

Changyang Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations.

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[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs.

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[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Two Heads are Better than One: Robust Learning Meets Multi-branch Models.

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Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

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

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[DOI]

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Constraint-Aware Multi-View Clustering via Graph Contrastive Learning.

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[DOI]

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

OpenViewer: Openness-Aware Multi-View Learning.

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[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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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[DOI]

Remote. Sens., January, 2024

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

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[DOI]

Neural Networks, January, 2024

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

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[DOI]

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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[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

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[DOI]

CoRR, 2024

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

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[DOI]

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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[DOI]

Inf. Sci., May, 2023

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

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[DOI]

CoRR, 2023

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

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[DOI]

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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[DOI]

Sensors, 2022

Contrastive Consensus Graph Learning for Multi-View Clustering.

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[DOI]

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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[DOI]

Sensors, 2020

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

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[DOI]

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

Zihan Fang

Bibliography

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