Ziqing Xu

According to our database1, Ziqing Xu authored at least 11 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Recovery Guarantees for Continual Learning of Dependent Tasks: Memory, Data-Dependent Regularization, and Data-Dependent Weights.
CoRR, April, 2026

2025
DeformTune: A Deformable XAI Music Prototype for Non-Musicians.
CoRR, August, 2025

Improved adaptive graph local spatial-temporal multi-head self-attention network: a deep learning framework for flight delay prediction.
Neural Comput. Appl., July, 2025

A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models.
Trans. Mach. Learn. Res., 2025

Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
A High-Resolution Prediction Network for Predicting Intratumoral Distribution of Nanoprobes by Tumor Vascular and Nuclear Feature.
Adv. Intell. Syst., March, 2024

Spectral-Spatial Blockwise Masked Transformer With Contrastive Multi-View Learning for Hyperspectral Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

A Joint Relation Extraction Model Based on Domain N-Gram Adapter and Axial Attention for Military Domain.
Proceedings of the Web Information Systems and Applications, 2023

2021
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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