Xingxuan Zhang

Orcid: 0000-0002-7723-9533

According to our database1, Xingxuan Zhang authored at least 29 papers between 2018 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
On the Out-Of-Distribution Generalization of Multimodal Large Language Models.
CoRR, 2024

2023
Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton.
IEEE Robotics Autom. Lett., September, 2023

Class Incremental Robotic Pick-and-Place via Incremental Few-Shot Object Detection.
IEEE Robotics Autom. Lett., September, 2023

Qwen Technical Report.
CoRR, 2023

TouchStone: Evaluating Vision-Language Models by Language Models.
CoRR, 2023

Meta Adaptive Task Sampling for Few-Domain Generalization.
CoRR, 2023

Exploring and Exploiting Data Heterogeneity in Recommendation.
CoRR, 2023

Rethinking the Evaluation Protocol of Domain Generalization.
CoRR, 2023

Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits.
Proceedings of the International Conference on Machine Learning, 2023

Measure the Predictive Heterogeneity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Flatness-Aware Minimization for Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NICO++: Towards Better Benchmarking for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Stable Learning via Sparse Variable Independence.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards Domain Generalization in Object Detection.
CoRR, 2022

Regulatory Instruments for Fair Personalized Pricing.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Product Ranking for Revenue Maximization with Multiple Purchases.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization.
Proceedings of the International Conference on Machine Learning, 2022

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Adversarial Eigen Attack on BlackBox Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Unsupervised Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Why Stable Learning Works? A Theory of Covariate Shift Generalization.
CoRR, 2021

Towards Out-Of-Distribution Generalization: A Survey.
CoRR, 2021

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization.
CoRR, 2021

Deep Stable Learning for Out-of-Distribution Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Speaker-Independent Lipreading With Limited Data.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
3D Convolutional Neural Networks Based Speaker Identification and Authentication.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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