Lixu Wang

Orcid: 0000-0003-2518-4160

According to our database¹, Lixu Wang authored at least 42 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Learning From Each Other: Generalized Federated Incremental Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

Efficient Banzhaf-Based Data Valuation for <i>k</i>-Nearest Neighbors Classification.

[BibT_eX]

[DOI]

CoRR, May, 2026

Defense against Poisoning Attacks under Shuffle-DP.

[BibT_eX]

[DOI]

CoRR, May, 2026

Exploring Federated Unlearning: Review, Comparison, and Insights.

[BibT_eX]

[DOI]

IEEE Netw., March, 2026

Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-Play Neural Network Toolbox Enabling Edge Deployment.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., February, 2026

How Implicit Bias Accumulates and Propagates in LLM Long-term Memory.

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[DOI]

CoRR, February, 2026

DP-MGTD: Privacy-Preserving Machine-Generated Text Detection via Adaptive Differentially Private Entity Sanitization.

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[DOI]

CoRR, January, 2026

AppellateGen: A Benchmark for Appellate Legal Judgment Generation.

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[DOI]

CoRR, January, 2026

Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

2025

FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

CoRR, November, 2025

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, August, 2025

A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks.

[BibT_eX]

[DOI]

CoRR, August, 2025

The Man Behind the Sound: Demystifying Audio Private Attribute Profiling via Multimodal Large Language Model Agents.

[BibT_eX]

[DOI]

CoRR, July, 2025

Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis.

[BibT_eX]

[DOI]

CoRR, May, 2025

Phase-driven Generalizable Representation Learning for Nonstationary Time Series Classification.

[BibT_eX]

[DOI]

Payal Mohapatra

Lixu Wang

Qi Zhu

Trans. Mach. Learn. Res., 2025

The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework.

[BibT_eX]

[DOI]

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

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On Large Language Model Continual Unlearning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Federated Continuous Category Discovery and Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Split Adaptation for Pre-trained Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Practical Unlearning for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Backdoor Attacks against Large Language Model-based Decision Making.

[BibT_eX]

[DOI]

CoRR, 2024

Phase-driven Domain Generalizable Learning for Nonstationary Time Series.

[BibT_eX]

[DOI]

Payal Mohapatra

Lixu Wang

Qi Zhu

CoRR, 2024

Federated Learning with New Knowledge: Fundamentals, Advances, and Futures.

[BibT_eX]

[DOI]

CoRR, 2024

Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval.

[BibT_eX]

[DOI]

Lixu Wang

Xinyu Du

Qi Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Federated Continual Novel Class Learning.

[BibT_eX]

[DOI]

CoRR, 2023

InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation.

[BibT_eX]

[DOI]

CoRR, 2023

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deja Vu: Continual Model Generalization for Unseen Domains.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization.

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[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Federated Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Non-Transferable Learning: A New Approach for Model Verification and Authorization.

[BibT_eX]

[DOI]

CoRR, 2021

mID: Tracing Screen Photos via Moiré Patterns.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

Weak Adaptation Learning: Addressing Cross-domain Data Insufficiency with Weak Annotator.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Addressing Class Imbalance in Federated Learning.

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[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Class Imbalance in Federated Learning.

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[DOI]

CoRR, 2020

2019

Eavesdrop the Composition Proportion of Training Labels in Federated Learning.

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[DOI]

CoRR, 2019

2017

Dynamics analysis of a missile vehicle considering the pavement roughness.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017

Lixu Wang

Timeline

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On csauthors.net:

Bibliography

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