Weihao Yu

Orcid: 0000-0003-3349-5890

Affiliations:
  • National University of Singapore, Singapore


According to our database1, Weihao Yu authored at least 23 papers between 2018 and 2025.

Collaborative distances:

Timeline

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Legend:

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Article 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Edge PoolFormer: Modeling and Training of PoolFormer Network on RRAM Crossbar for Edge-AI Applications.
IEEE Trans. Very Large Scale Integr. Syst., February, 2025

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

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

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

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

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

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

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

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

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

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

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


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