Wang Lu

Orcid: 0000-0003-4035-0737

Affiliations:

University of Science and Technology of China, Hefei, China

According to our database¹, Wang Lu authored at least 32 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., March, 2026

HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition.

[BibT_eX]

[DOI]

Wang Lu

Yao Zhu

Jindong Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., December, 2025

How Do Large Language Models Understand Genes and Cells.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., December, 2025

UniGame: Turning a Unified Multimodal Model Into Its Own Adversary.

[BibT_eX]

[DOI]

CoRR, November, 2025

Enhancing Few-Shot CLIP With Semantic-Aware Fine-Tuning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2025

FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare.

[BibT_eX]

[DOI]

CoRR, April, 2025

2024

PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Personalized Federated Learning With Adaptive Batchnorm for Healthcare.

[BibT_eX]

[DOI]

Dimitrios Dimitriadis

Tao Qin

IEEE Trans. Big Data, December, 2024

MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

FIXED: Frustratingly Easy Domain Generalization with Mixup.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2024

2023

Generalizing to Unseen Domains: A Survey on Domain Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Domain Generalization for Activity Recognition via Adaptive Feature Fusion.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., February, 2023

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Out-of-distribution Representation Learning for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Domain-invariant Feature Exploration for Domain Generalization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Dual layer transfer learning for sEMG-based user-independent gesture recognition.

[BibT_eX]

[DOI]

Pers. Ubiquitous Comput., 2022

Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.

[BibT_eX]

[DOI]

CoRR, 2022

Local and Global Alignments for Generalizable Sensor-Based Human Activity Recognition.

[BibT_eX]

[DOI]

Wang Lu

Jindong Wang

Yiqiang Chen

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Cross-domain activity recognition via substructural optimal transport.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Federated Learning with Adaptive Batchnorm for Personalized Healthcare.

[BibT_eX]

[DOI]

CoRR, 2021

FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Learning Effective Spatial-Temporal Features for sEMG Armband-Based Gesture Recognition.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Instance-Wise Dynamic Sensor Selection for Human Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Wearable Sensors Based Automatic Box and Block Test System.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE SmartWorld, 2019

2018

Wearing-independent hand gesture recognition method based on EMG armband.

[BibT_eX]

[DOI]

Pers. Ubiquitous Comput., 2018

Wang Lu

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