Weihao Yu

Orcid: 0000-0003-3349-5890

According to our database1, Weihao Yu authored at least 54 papers between 2018 and 2024.

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Bibliography

2024
TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation.
Appl. Intell., November, 2024

MetaFormer Baselines for Vision.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Neighborhood-enhanced contrast for pre-training graph neural networks.
Neural Comput. Appl., 2024

Lorentz equivariant model for knowledge-enhanced hyperbolic collaborative filtering.
Knowl. Based Syst., 2024

LinFusion: 1 GPU, 1 Minute, 16K Image.
CoRR, 2024

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities.
CoRR, 2024

KAN or MLP: A Fairer Comparison.
CoRR, 2024

MambaOut: Do We Really Need Mamba for Vision?
CoRR, 2024

Generalizable Geometry-Aware Human Radiance Modeling from Multi-view Images.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields.
Proceedings of the International Joint Conference on Neural Networks, 2024

MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing.
Proceedings of the International Joint Conference on Neural Networks, 2024

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Receptive Fields As Experts in Convolutional Neural Architectures.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Attention Prompting on Image for Large Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

GTP-4o: Modality-Prompted Heterogeneous Graph Learning for Omni-Modal Biomedical Representation.
Proceedings of the Computer Vision - ECCV 2024, 2024

InceptionNeXt: When Inception Meets ConvNeXt.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Enhanced edge convolution-based spatial-temporal network for network traffic prediction.
Appl. Intell., October, 2023

ODformer: Spatial-temporal transformers for long sequence Origin-Destination matrix forecasting against cross application scenario.
Expert Syst. Appl., July, 2023

Routing hypergraph convolutional recurrent network for network traffic prediction.
Appl. Intell., June, 2023

HyperDNE: Enhanced hypergraph neural network for dynamic network embedding.
Neurocomputing, March, 2023

TNN: Tree Neural Network for Airway Anatomical Labeling.
IEEE Trans. Medical Imaging, 2023

Lorentz Equivariant Model for Knowledge-Enhanced Collaborative Filtering.
CoRR, 2023

What is wrong with deep knowledge tracing? Attention-based knowledge tracing.
Appl. Intell., 2023

Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

RRAM-PoolFormer: A Resistive Memristor-based PoolFormer Modeling and Training Framework for Edge-AI Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Mugs: A Multi-Granular Self-Supervised Learning Framework.
CoRR, 2022

LTSP: long-term slice propagation for accurate airway segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2022

Multi-relational knowledge graph completion method with local information fusion.
Appl. Intell., 2022

Inception Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

Break: Bronchi Reconstruction by Geodesic Transformation and Skeleton Embedding.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Local-Global Semantic Fusion Single-shot Classification Method.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

MetaFormer is Actually What You Need for Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dynamic Graph Representation Based on Temporal and Contextual Contrasting.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
A deep embedding model for knowledge graph completion based on attention mechanism.
Neural Comput. Appl., 2021

Community Detection Based on Modularized Deep Nonnegative Matrix Factorization.
Int. J. Pattern Recognit. Artif. Intell., 2021

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation.
CoRR, 2021

Refiner: Refining Self-attention for Vision Transformers.
CoRR, 2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.
CoRR, 2021

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LV-BERT: Exploiting Layer Variety for BERT.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning from Interpretable Analysis: Attention-Based Knowledge Tracing.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Heterogeneous Graph Learning for Visual Commonsense Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Knowledge-Embedded Routing Network for Scene Graph Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dense attentional network for pancreas segmentation in abdominal CT scans.
Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition, 2019

2018
Deep Reasoning with Knowledge Graph for Social Relationship Understanding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Study on Association Rules Between Earthquake Event and Earthquake Precursory Information Anomalies.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018


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