Weiqiu Wang

Researcher, Alibaba Group

Joined

October 2023

Names

Weiqiu Wang (Preferred)

Emails

****@bupt.edu.cn (Confirmed)

****@taobao.com (Confirmed)

****@alibaba-inc.com (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

Researcher

Alibaba Group (alibaba-inc.com)

2024 – Present

PhD student

Beijing University of Posts and Telecommunications (bupt.edu.cn)

2019 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Fei Su

2019 – 2024

Expertise

Recommendation systems

2023 – Present

Multimodal Learning

2022 – Present

Long-tail Learning

2019 – 2024

Publications

PDFL: Progressive Discriminative Feature Learning for long-tailed recognition
Weiqiu Wang, Zining Chen, Zhicheng Zhao, Fei Su
- Neurocomputing
- Readers: Everyone
Token Embeddings Augmentation benefits Parameter-Efficient Fine-Tuning under long-tailed distribution
Weiqiu Wang, Zining Chen, Zhicheng Zhao, Fei Su
- Neurocomputing 2025
- Readers: Everyone
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
Zining Chen, Xingshuang Luo, Weiqiu Wang, Zhicheng Zhao, Fei Su, Aidong Men
- AAAI 2025
- Readers: Everyone
Instance Paradigm Contrastive Learning for Domain Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao, Fei Su, Aidong Men, Yuan Dong
- IEEE Trans. Circuits Syst. Video Technol. 2024
- Readers: Everyone
Text-guided Fourier Augmentation for long-tailed recognition
Weiqiu Wang, Zining Chen, Fei Su, Zhicheng Zhao
- Pattern Recognition Letters
- Readers: Everyone
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao, Fei Su, Aidong Men, Hongying Meng
- CoRR 2024
- Readers: Everyone
Selective Cross-Correlation Consistency Loss for Out-of-Distribution Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao, Fei Su, Aidong Men
- ICME 2024
- Readers: Everyone

View all 21 publications

Weiqiu Wang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

PDFL: Progressive Discriminative Feature Learning for long-tailed recognition

Token Embeddings Augmentation benefits Parameter-Efficient Fine-Tuning under long-tailed distribution

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection

Instance Paradigm Contrastive Learning for Domain Generalization

Text-guided Fourier Augmentation for long-tailed recognition

PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization

Selective Cross-Correlation Consistency Loss for Out-of-Distribution Generalization

Co-Authors