Senqiao Yang

According to our database1, Senqiao Yang authored at least 20 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Typicalness-Aware Learning for Failure Detection.
CoRR, 2024

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks.
CoRR, 2024

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.
CoRR, 2024

RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation.
CoRR, 2024

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unified Language-Driven Zero-Shot Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection.
Neural Networks, April, 2023

An Improved Baseline for Reasoning Segmentation with Large Language Model.
CoRR, 2023

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding.
CoRR, 2023

Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.
CoRR, 2023

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation.
CoRR, 2023

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers.
CoRR, 2023

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation.
CoRR, 2023

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation.
CoRR, 2023

Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
A UniverApproCNN with Universal Approximation and Explicit Training Strategy.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021


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