We stand with Ukraine

We stand with Ukraine

Wei Zhuo

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025

CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering.

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CoRR, September, 2025

LongCat-Flash-Thinking Technical Report.

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Meituan LongCat Team

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Xiangzhou Huang

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CoRR, September, 2025

AGENTICT<sup>2</sup>S:Robust Text-to-SPARQL via Agentic Collaborative Reasoning over Heterogeneous Knowledge Graphs for the Circular Economy.

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Jonathan Low Zhaozhi

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Eugene Ho Hong Zhuang

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Daren Zong Loong Tan

CoRR, August, 2025

Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification.

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CoRR, July, 2025

Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections.

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CoRR, May, 2025

DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining.

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CoRR, April, 2025

3D Heart Reconstruction from Sparse Pose-Agnostic 2D Echocardiographic Slices.

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Proceedings of the Simplifying Medical Ultrasound - 6th International Workshop, 2025

EchoONE: Segmenting Multiple Echocardiography Planes in One Model.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection.

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Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Enhancing Unsupervised Semantic Segmentation Through Context-Aware Clustering.

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IEEE Trans. Multim., 2024

Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation.

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CoRR, 2024

Video-based Remote Blood Pressure Measurement Using Convolutional Networks and Random Forest.

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Proceedings of the 3rd Vision-based Remote Physiological Signal Sensing Challenge & Workshop (RePSS 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

PCA Lab's Solution for RePSS 2024 by Vision-based Self-supervised Remote Heart Rate Sensing.

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Proceedings of the 3rd Vision-based Remote Physiological Signal Sensing Challenge & Workshop (RePSS 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences.

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IEEE Trans. Medical Imaging, December, 2023

QA-CLIMS: Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation.

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Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Research on personalized image retrieval technology of video stream big data management model.

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Multim. Tools Appl., 2022

Activating the Discriminability of Novel Classes for Few-shot Segmentation.

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CoRR, 2022

Fully Self-Supervised Learning for Semantic Segmentation.

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CoRR, 2022

ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Image intelligent automatic processing analysis based on artificial intelligence vision generator.

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J. Intell. Fuzzy Syst., 2021

Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences.

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CoRR, 2021

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation.

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CoRR, 2021

Mining Latent Classes for Few-shot Segmentation.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Inner-Group Relations on Point Clouds.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Combined Model to Extract Entities and Relations Based on Sharing Parameter.

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Proceedings of the RICAI 2019: International Conference on Robotics, 2019

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