Ya Wang

Orcid: 0000-0002-3658-0743

Affiliations:
  • ByteDance, Seed-Foundation-Model, Peking, China
  • Tencent, Machine Learning Platform Department, Beijing, China
  • Peking University, School of Mathematical Sciences, LMAM, Beijing, China (PhD 2021)


According to our database1, Ya Wang authored at least 10 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2025
HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization.
CoRR, March, 2025

Scale-Distribution Decoupling: Enabling Stable and Effective Training of Large Language Models.
CoRR, February, 2025

Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023
CMMix: Cross-Modal Mix Augmentation Between Images and Texts for Visual Grounding.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Multimodal Product Identification: Submission to Watch and Buy 2021 Challenge.
Proceedings of the WAB'21: Proceedings of the 1st Workshop on Multimodal Product Identification in Livestreaming and WAB Challenge, 2021

Label Similarity Based Graph Network for Badminton Activity Recognition.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Multi-Label Classification with Label Graph Superimposing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data.
Proceedings of the Intelligent Computing Theories and Application, 2019


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