Lu Zhang

Orcid: 0000-0001-9532-5219

Affiliations:
  • Fudan University, Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, China
  • Tencent AI Lab


According to our database1, Lu Zhang authored at least 12 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison.
ACM Trans. Intell. Syst. Technol., August, 2023

Zero-Shot Object Detection by Semantics-Aware DETR with Adaptive Contrastive Loss.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Meta-ZSDETR: Zero-shot DETR with Meta-learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
An Empirical Study and Comparison of Recent Few-Shot Object Detection Algorithms.
CoRR, 2022

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations.
CoRR, 2022

EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Weakly-supervised Text Classification Based on Keyword Graph.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Latent Semantic Attributes for Zero-Shot Object Detection.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020


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