Junbo Tong

According to our database, Junbo Tong authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

PEBSI: Policy-efficient branching variable selection via reinforcement learning.

Shuhan Du, Junbo Tong, Daming Shi, Yi Liu, Wenhui Fan

J. Supercomput., April, 2026

2025

MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems.

Wan Jiang, Xinyi Zang, Yudong Zhao, Yusi Zou, Yunfei Lu, Junbo Tong, Yang Liu, Ming Li, Jiani Shi, Xin Yang

CoRR, December, 2025

OdML: An optimization-driven meta-learning framework for multi-task approximate model predictive control.

Junbo Tong, Shuhan Du, Daming Shi, Wenhui Fan

Appl. Soft Comput., 2025

Learning efficient branch-and-bound for solving Mixed Integer Linear Programs.

Shuhan Du, Junbo Tong, Wenhui Fan

Appl. Soft Comput., 2025

2024

Automatic tuning of robust model predictive control in iterative tasks using efficient Bayesian optimization.

Junbo Tong, Shuhan Du, Wenhui Fan, Yueting Chai

Trans. Inst. Meas. Control, 2024

Learning-based Distributed Model Predictive Control with State-dependent Uncertainty Using Neural Network.

Junbo Tong, Shuhan Du, Wenhui Fan

Proceedings of the American Control Conference, 2024

2023

GLDAP: Global Dynamic Action Persistence Adaptation for Deep Reinforcement Learning.

Junbo Tong, Daming Shi, Yi Liu, Wenhui Fan

ACM Trans. Auton. Adapt. Syst., June, 2023

2022

Knowledge Reuse of Multi-Agent Reinforcement Learning in Cooperative Tasks.

Daming Shi, Junbo Tong, Yi Liu, Wenhui Fan

Entropy, 2022