Jiayi Shen

Orcid: 0000-0002-6348-2559

According to our database1, Jiayi Shen authored at least 34 papers between 2013 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Optimal mission abort policy for a multi-component system with failure interaction.
Reliab. Eng. Syst. Saf., February, 2024

Any-Shift Prompting for Generalization over Distributions.
CoRR, 2024

Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023
SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases.
Nucleic Acids Res., January, 2023

Learning to Learn With Variational Inference for Cross-Domain Image Classification.
IEEE Trans. Multim., 2023

Parallel symbolic aggregate approximation and its application in intelligent fault diagnosis.
J. Intell. Fuzzy Syst., 2023

Learning Variational Neighbor Labels for Test-Time Domain Generalization.
CoRR, 2023

Episodic Multi-Task Learning with Heterogeneous Neural Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

EMO: Episodic Memory Optimization for Few-Shot Meta-Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2023

Impact of Super-long-throw PVD on TSV Metallization and Die-to-Wafer 3D Integration Based on Via-last.
Proceedings of the IEEE International 3D Systems Integration Conference, 2023

2022
Spherical Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles.
CoRR, 2022

Association Graph Learning for Multi-Task Classification with Category Shifts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unified Visual Transformer Compression.
Proceedings of the Tenth International Conference on Learning Representations, 2022

NFormer: Robust Person Re-identification with Neighbor Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Head Pose Estimation In Classroom Scenes.
Proceedings of the 4th International Conference on Artificial Intelligence and Advanced Manufacturing, 2022

2021
Multi-Task Neural Processes.
CoRR, 2021

Variational Multi-Task Learning with Gumbel-Softmax Priors.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Bit More Bayesian: Domain-Invariant Learning with Uncertainty.
Proceedings of the 38th International Conference on Machine Learning, 2021

UMEC: Unified model and embedding compression for efficient recommendation systems.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning A Minimax Optimizer: A Pilot Study.
Proceedings of the 9th International Conference on Learning Representations, 2021

Comparison between Time Series Analysis and Mode Decomposition on the Prediction of Bank of China Stock Price.
Proceedings of the ICIBE 2021: The 7th International Conference on Industrial and Business Engineering, Macau, SAR, China, September 27, 2021

The Impact Index and Dynamic Forecast of the Retail New business formats based on Internet Big Data.
Proceedings of the ICEEG 2021: The 5th International Conference on E-Commerce, E-Business and E-Government, Rome, Italy, April 28, 2021

E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


2020
Characterizing reticulation in online social networks during disasters.
Appl. Netw. Sci., 2020

Model-Agnostic Metric for Zero-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Eliminating the Invariance on the Loss Landscape of Linear Autoencoders.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Attentional Neural Fields for Crowd Counting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Relational Attention Network for Crowd Counting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Feature Adaptation and Augmentation for Cross-Scene Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2018

Predict the Best Graph Partitioning Strategy by Using Machine Learning Technology.
Proceedings of the VII International Conference on Network, Communication and Computing, 2018

2013
Study on a Robot 3D Laser Radar Information Collection System.
J. Digit. Inf. Manag., 2013


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