Zhennan Wang

Orcid: 0000-0002-5814-3798

Affiliations:
  • Peng Cheng Laboratory, Shenzhen, China


According to our database1, Zhennan Wang authored at least 18 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation.
Int. J. Comput. Vis., March, 2025

A unified evolution-driven deep learning framework for virus variation driver prediction.
Nat. Mac. Intell., 2025

2023
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants.
Int. J. High Perform. Comput. Appl., November, 2023

TG-VQA: Ternary Game of Video Question Answering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Position Embedding Needs an Independent Layer Normalization.
CoRR, 2022

PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation.
CoRR, 2022

Dynamic Clustering Network for Unsupervised Semantic Segmentation.
CoRR, 2022

Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization.
CoRR, 2022

Locality Guidance for Improving Vision Transformers on Tiny Datasets.
Proceedings of the Computer Vision, 2022

2020
Matrix Capsule Convolutional Projection for Deep Feature Learning.
IEEE Signal Process. Lett., 2020

DMA Regularization: Enhancing Discriminability of Neural Networks by Decreasing the Minimal Angle.
IEEE Signal Process. Lett., 2020

MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
PR Product: A Substitute for Inner Product in Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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