Zhuoer Xu

Orcid: 0009-0000-4316-5364

According to our database1, Zhuoer Xu authored at least 27 papers between 2020 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
Efficient Transfer Learning for Video-language Foundation Models.
CoRR, 2024

DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark.
CoRR, 2024

Conditional Prototype Rectification Prompt Learning.
CoRR, 2024

TroubleLLM: Align to Red Team Expert.
CoRR, 2024

Is LLaMA 3 Good at Identifying Emotion? A Comprehensive Study.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024

Financial Sentiment Analysis Meets LLaMA 3: A Comprehensive Analysis.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024

Is LLaMA 3 Good at Sarcasm Detection? A Comprehensive Study.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024

Diffusioninst: Diffusion Model for Instance Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Segment Anything Model Meets Image Harmonization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Adversarial Robust Safeguard for Evading Deep Facial Manipulation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Absolute logarithmic calibration for correlation coefficient with multiplicative distortion.
Commun. Stat. Simul. Comput., February, 2023

Boosting Audio-visual Zero-shot Learning with Large Language Models.
CoRR, 2023

On the Robustness of Latent Diffusion Models.
CoRR, 2023

DiffUTE: Universal Text Editing Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Backpropagation Path Search On Adversarial Transferability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mobile User Interface Element Detection Via Adaptively Prompt Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
One-Stage Tree: end-to-end tree builder and pruner.
Mach. Learn., 2022

DiffusionInst: Diffusion Model for Instance Segmentation.
CoRR, 2022

MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees.
CoRR, 2022

A2: Efficient Automated Attacker for Boosting Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PSP: Progressive Space Pruning for Efficient Graph Neural Architecture Search.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DIFER: Differentiable Automated Feature Engineering.
Proceedings of the International Conference on Automated Machine Learning, 2022

2021
Exponential calibration for correlation coefficient with additive distortion measurement errors.
Stat. Anal. Data Min., 2021

Progressive AutoSpeech: An Efficient and General Framework for Automatic Speech Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
DIFER: Differentiable Automated Feature Engineering.
CoRR, 2020


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