Junzi Zhang

According to our database, Junzi Zhang authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

MFGLib: A Library for Mean-Field Games.

Xin Guo, Anran Hu, Matteo Santamaria, Mahan Tajrobehkar, Junzi Zhang

J. Open Source Softw., March, 2026

EEG-Based Brain-LLM Interface for Human Preference Aligned Generation.

Junzi Zhang, Jianing Shen, Weijie Tu, Yi Zhang, Hailin Zhang, Tom Gedeon, Bin Jiang, Yue Yao

CoRR, March, 2026

UniWhisper: Efficient Continual Multi-task Training for Robust Universal Audio Representation.

Yuxuan Chen, Peize He, Haoyuan Xu, Junzi Zhang

CoRR, February, 2026

2025

Enhanced rain removal network with convolutional block attention module (CBAM): a novel approach to image de-raining.

Ping Jiang, Junzi Zhang, Jiejie Chen

EURASIP J. Adv. Signal Process., December, 2025

Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods With Entropy Regularization.

Yuhao Ding, Junzi Zhang, Hyunin Lee, Javad Lavaei

IEEE Trans. Autom. Control., August, 2025

2024

MF-OMO: An Optimization Formulation of Mean-Field Games.

Xin Guo, Anran Hu, Junzi Zhang

SIAM J. Control. Optim., February, 2024

MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games.

Anran Hu, Junzi Zhang

CoRR, 2024

2023

A General Framework for Learning Mean-Field Games.

Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang

Math. Oper. Res., May, 2023

MESOB: Balancing Equilibria & Social Optimality.

Xin Guo, Lihong Li, Sareh Nabi, Rabih Salhab, Junzi Zhang

CoRR, 2023

Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models.

Ziheng Cheng, Junzi Zhang, Akshay Agrawal, Stephen P. Boyd

CoRR, 2023

Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods.

Yuhao Ding, Junzi Zhang, Javad Lavaei

Proceedings of the European Control Conference, 2023

2022

On the Global Optimum Convergence of Momentum-based Policy Gradient.

Yuhao Ding, Junzi Zhang, Javad Lavaei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods.

Xin Guo, Anran Hu, Junzi Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization.

Yuhao Ding, Junzi Zhang, Javad Lavaei

CoRR, 2021

On the Global Convergence of Momentum-based Policy Gradient.

Yuhao Ding, Junzi Zhang, Javad Lavaei

CoRR, 2021

Sample Efficient Reinforcement Learning with REINFORCE.

Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Anderson Accelerated Douglas-Rachford Splitting.

Anqi Fu, Junzi Zhang, Stephen P. Boyd

SIAM J. Sci. Comput., 2020

Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations.

Junzi Zhang, Brendan O'Donoghue, Stephen P. Boyd

SIAM J. Optim., 2020

2019

Learning Mean-Field Games.

Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Robust Super-Level Set Estimation Using Gaussian Processes.

Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018