Yizhao Gao

Orcid: 0000-0002-6903-2962

Affiliations:
  • Renmin University of China, School of Artificial Intelligence, Beijing, China


According to our database1, Yizhao Gao authored at least 16 papers between 2020 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts.
CoRR, 2024

Enhancing Class-Incremental Learning for Image Classification via Bidirectional Transport and Selective Momentum.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Unsupervised Continual Learning of Image Representation Via Rememory-Based Simsiam.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Learning with Adaptive Knowledge for Continual Image-Text Modeling.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

CMMT: Cross-Modal Meta-Transformer for Video-Text Retrieval.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Mixup-Inspired Video Class-Incremental Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SST-VLM: Sparse Sampling-Twice Inspired Video-Language Model.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model.
CoRR, 2021

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training.
CoRR, 2021

Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning.
CoRR, 2021

Contrastive prototype learning with augmented embeddings for few-shot learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Z-Score Normalization, Hubness, and Few-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020


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