Jing Xu

According to our database, Jing Xu authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database.

Weizhi Fei, Hao Shi, Jing Xu, Jingchen Peng, Jiazheng Li, Jingzhao Zhang, Bo Bai, Wei Han, Zhenyuan Chen, Xueyan Niu

CoRR, July, 2025

Scalable Model Merging with Progressive Layer-wise Distillation.

Jing Xu, Jiazheng Li, Jingzhao Zhang

CoRR, February, 2025

Understanding Nonlinear Implicit Bias via Region Counts in Input Space.

Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Scalable Model Merging with Progressive Layer-wise Distillation.

Jing Xu, Jiazheng Li, Jingzhao Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems.

Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang

CoRR, 2024

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem.

Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning.

Jing Xu, Jingzhao Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis.

Lesi Chen, Jing Xu, Jingzhao Zhang

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

On Bilevel Optimization without Lower-level Strong Convexity.

Lesi Chen, Jing Xu, Jingzhao Zhang

CoRR, 2023

Quantifying the Variability Collapse of Neural Networks.

Jing Xu, Haoxiong Liu

Proceedings of the International Conference on Machine Learning, 2023

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization.

Lesi Chen, Jing Xu, Luo Luo

Proceedings of the International Conference on Machine Learning, 2023