Robust Super-Level Set Estimation Using Gaussian Processes. - Andrea Zanette; Junzi Zhang; Mykel J. Kochenderfer (ECML/PKDD (2), 2018)

Learning Mean-Field Games. - Xin Guo 001; Anran Hu; Renyuan Xu; Junzi Zhang (NeurIPS, 2019)

Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations. - Junzi Zhang; Brendan O'Donoghue; Stephen P. Boyd (SIAM J. Optim., 2020)

Anderson Accelerated Douglas-Rachford Splitting. - Anqi Fu; Junzi Zhang; Stephen P. Boyd (SIAM J. Sci. Comput., 2020)

Sample Efficient Reinforcement Learning with REINFORCE. - Junzi Zhang; Jongho Kim; Brendan O'Donoghue; Stephen P. Boyd (AAAI, 2021)

On the Global Convergence of Momentum-based Policy Gradient. - Yuhao Ding; Junzi Zhang; Javad Lavaei (CoRR, 2021)

Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization. - Yuhao Ding; Junzi Zhang; Javad Lavaei (CoRR, 2021)

Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. - Xin Guo 001; Anran Hu; Junzi Zhang (AAAI, 2022)

On the Global Optimum Convergence of Momentum-based Policy Gradient. - Yuhao Ding; Junzi Zhang; Javad Lavaei (AISTATS, 2022)

Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods. - Yuhao Ding; Junzi Zhang; Javad Lavaei (ECC, 2023)

MFGLib: A Library for Mean-Field Games. - Xin Guo 001; Anran Hu; Matteo Santamaria; Mahan Tajrobehkar; Junzi Zhang (CoRR, 2023)

Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models. - Ziheng Cheng; Junzi Zhang; Akshay Agrawal 001; Stephen P. Boyd (CoRR, 2023)

MESOB: Balancing Equilibria & Social Optimality. - Xin Guo 001; Lihong Li; Sareh Nabi; Rabih Salhab; Junzi Zhang (CoRR, 2023)

A General Framework for Learning Mean-Field Games. - Xin Guo 001; Anran Hu; Renyuan Xu; Junzi Zhang (Math. Oper. Res., 2023)

MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games. - Anran Hu; Junzi Zhang (CoRR, 2024)

MF-OMO: An Optimization Formulation of Mean-Field Games. - Xin Guo 001; Anran Hu; Junzi Zhang (SIAM J. Control. Optim., 2024)

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., 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., 2025)