Ye Yu

Orcid: 0000-0002-4650-5894

Affiliations:
  • Microsoft
  • Princeton University, Department of Electrical Engineering, NJ, USA (former)


According to our database1, Ye Yu authored at least 15 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection.
Int. J. Artif. Intell. Robotics Res., June, 2024

LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization.
CoRR, 2024

Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference.
IEEE Trans. Emerg. Top. Comput., 2022

BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation.
CoRR, 2022

BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

GateHUB: Gated History Unit with Background Suppression for Online Action Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture.
IEEE Trans. Computers, 2021

Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MUSE: Feature Self-Distillation with Mutual Information and Self-Information.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2019
Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture.
CoRR, 2019

2018
A Monolithic 3D Hybrid Architecture for Energy-Efficient Computation.
IEEE Trans. Multi Scale Comput. Syst., 2018

Statistical Optimization of FinFET Processor Architectures under PVT Variations Using Dual Device-Type Assignment.
ACM J. Emerg. Technol. Comput. Syst., 2018


  Loading...