Jing Wang

According to our database, Jing Wang authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Robust Length Prediction: A Perspective from Heavy-Tailed Prompt-Conditioned Distributions.

Jing Wang, Yu-Yang Qian, Ke Xue, Chao Qian, Peng Zhao, Zhi-Hua Zhou

CoRR, April, 2026

Revisiting Weighted Strategy for Non-Stationary Parametric Bandits and MDPs.

Jing Wang, Peng Zhao, Zhi-Hua Zhou

IEEE Trans. Inf. Theory, March, 2026

CoRE-Learning with Look-Ahead and Immediate Resource Allocation.

Jing Wang, Xi-Tong Liu, Zhi-Hua Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update.

Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

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

2024

Handling Heterogeneous Curvatures in Bandit LQR Control.

Yu-Hu Yan, Jing Wang, Peng Zhao

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

Learning with Adaptive Resource Allocation.

Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou

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

2023

Revisiting Weighted Strategy for Non-stationary Parametric Bandits.

Jing Wang, Peng Zhao, Zhi-Hua Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023