Ziqian Lu

Orcid: 0009-0007-3579-9130

According to our database1, Ziqian Lu authored at least 16 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation.
Neurocomputing, 2025

2024
Hierarchical contrastive representation for zero shot learning.
Appl. Intell., October, 2024

Learning Multiple Criteria Calibration for Generalized Zero-shot Learning.
Knowl. Based Syst., 2024

Self-supervised graph representations with generative adversarial learning.
Neurocomputing, 2024

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning.
CoRR, 2024

CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation.
CoRR, 2024

Improving Zero-Shot Generalization for CLIP with Variational Adapter.
Proceedings of the Computer Vision - ECCV 2024, 2024

Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios.
CoRR, 2023

Prompt-based test-time real image dehazing: a novel pipeline.
CoRR, 2023

Accurate and lightweight dehazing via multi-receptive-field non-local network and novel contrastive regularization.
CoRR, 2023

Reasoning in Different Directions: Triplet Learning for Scene Graph Generation.
IEEE Access, 2023

2022
Dual semantic-guided model for weakly-supervised zero-shot semantic segmentation.
Multim. Tools Appl., 2022

Learn more from less: Generalized zero-shot learning with severely limited labeled data.
Neurocomputing, 2022

2020
Attentive Semantic Preservation Network for Zero-Shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Characterizing serverless platforms with serverlessbench.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020


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