Lixu Wang

According to our database, Lixu Wang authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval.

Lixu Wang, Xinyu Du, Qi Zhu

CoRR, 2024

Phase-driven Domain Generalizable Learning for Nonstationary Time Series.

Payal Mohapatra, Lixu Wang, Qi Zhu

CoRR, 2024

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

Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu

CoRR, 2024

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

Lixu Wang, Shichao Xu, Xinyu Du, Qi Zhu

CoRR, 2024

2023

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

Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu

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

Federated Continual Novel Class Learning.

Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu

CoRR, 2023

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

Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

CoRR, 2023

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

Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu

CoRR, 2023

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

Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

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.

Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning.

Junfeng Guo, Ang Li, Lixu Wang, Cong Liu

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.

Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Federated Class-Incremental Learning.

Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu

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.

Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu

CoRR, 2021

mID: Tracing Screen Photos via Moiré Patterns.

Yushi Cheng, Xiaoyu Ji, Lixu Wang, Qi Pang, Yi-Chao Chen, Wenyuan Xu

Proceedings of the 30th USENIX Security Symposium, 2021

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

Shichao Xu, Lixu Wang, Yixuan Wang, Qi Zhu

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

Addressing Class Imbalance in Federated Learning.

Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu

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

2020

Towards Class Imbalance in Federated Learning.

Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu

CoRR, 2020

2019

Eavesdrop the Composition Proportion of Training Labels in Federated Learning.

Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu

CoRR, 2019

2017

Dynamics analysis of a missile vehicle considering the pavement roughness.

Lixu Wang, Hongyu Tian, Xi Liang, Cheng Wei, Yang Zhao, Lijie Chen

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