Junzi Zhang - RankMe

25 papers A* 3A 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EEG-Based Brain-LLM Interface for Human Preference Aligned Generation. CoRR Junzi Zhang, Jianing Shen, Weijie Tu, Yi Zhang, Hailin Zhang, Tom Gedeon, Bin Jiang, Yue Yao
2026	J	`jnl`	UniWhisper: Efficient Continual Multi-task Training for Robust Universal Audio Representation. CoRR Yuxuan Chen, Peize He, Haoyuan Xu, Junzi Zhang
2025	J	`jnl`	Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods With Entropy Regularization. IEEE Trans. Autom. Control. Yuhao Ding, Junzi Zhang, Hyunin Lee, Javad Lavaei
2025	J	`jnl`	Enhanced rain removal network with convolutional block attention module (CBAM): a novel approach to image de-raining. EURASIP J. Adv. Signal Process. Ping Jiang, Junzi Zhang, Jiejie Chen
2024	J	`jnl`	MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games. CoRR Anran Hu, Junzi Zhang
2024	J	`jnl`	MF-OMO: An Optimization Formulation of Mean-Field Games. SIAM J. Control. Optim. Xin Guo, Anran Hu, Junzi Zhang
2023	J	`jnl`	A General Framework for Learning Mean-Field Games. Math. Oper. Res. Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
2023	J	`jnl`	Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models. CoRR Ziheng Cheng, Junzi Zhang, Akshay Agrawal, Stephen P. Boyd
2023	—	`conf`	Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods. ECC Yuhao Ding, Junzi Zhang, Javad Lavaei
2023	J	`jnl`	MESOB: Balancing Equilibria & Social Optimality. CoRR Xin Guo, Lihong Li, Sareh Nabi, Rabih Salhab, Junzi Zhang
2023	J	`jnl`	MFGLib: A Library for Mean-Field Games. CoRR Xin Guo, Anran Hu, Matteo Santamaria, Mahan Tajrobehkar, Junzi Zhang
2022	J	`jnl`	MF-OMO: An Optimization Formulation of Mean-Field Games. CoRR Xin Guo, Anran Hu, Junzi Zhang
2022	A	`conf`	On the Global Optimum Convergence of Momentum-based Policy Gradient. AISTATS Yuhao Ding, Junzi Zhang, Javad Lavaei
2022	A*	`conf`	Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. AAAI Xin Guo, Anran Hu, Junzi Zhang
2021	J	`jnl`	Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization. CoRR Yuhao Ding, Junzi Zhang, Javad Lavaei
2021	J	`jnl`	On the Global Convergence of Momentum-based Policy Gradient. CoRR Yuhao Ding, Junzi Zhang, Javad Lavaei
2021	A*	`conf`	Sample Efficient Reinforcement Learning with REINFORCE. AAAI Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd
2021	J	`jnl`	Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. CoRR Xin Guo, Anran Hu, Junzi Zhang
2020	J	`jnl`	A General Framework for Learning Mean-Field Games. CoRR Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
2020	J	`jnl`	Anderson Accelerated Douglas-Rachford Splitting. SIAM J. Sci. Comput. Anqi Fu, Junzi Zhang, Stephen P. Boyd
2020	J	`jnl`	Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations. SIAM J. Optim. Junzi Zhang, Brendan O'Donoghue, Stephen P. Boyd
2020	J	`jnl`	Sample Efficient Reinforcement Learning with REINFORCE. CoRR Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd
2019	A*	`conf`	Learning Mean-Field Games. NeurIPS Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
2018	—	`conf`	Robust Super-Level Set Estimation Using Gaussian Processes. ECML/PKDD (2) Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer
2018	J	`jnl`	Robust Super-Level Set Estimation using Gaussian Processes. CoRR Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer