Qixuan Zhou

11 papers A* 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
UCPO: Uncertainty-Aware Policy Optimization.
CoRR
Xianzhou Zeng, Jing Huang, Chunmei Xie, Gongrui Nan, Siye Chen, Mengyu Lu, Weiqi Xiong, Qixuan Zhou, Junhao Zhang, Qiang Zhu, Yadong Li, Xingzhong Xu
2025 J jnl
A Priori Estimates for Deep Residual Network in Continuous-Time Reinforcement Learning.
SIAM J. Math. Data Sci.
Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo
2025 J jnl
NGRPO: Negative-enhanced Group Relative Policy Optimization.
CoRR
Gongrui Nan, Siye Chen, Jing Huang, Mengyu Lu, Dexun Wang, Chunmei Xie, Weiqi Xiong, Xianzhou Zeng, Qixuan Zhou, Yadong Li, Xingzhong Xu
2025 J jnl
SSBE-PINN: A Sobolev Boundary Scheme Boosting Stability and Accuracy in Elliptic/Parabolic PDE Learning.
CoRR
Qixuan Zhou, Chuqi Chen, Tao Luo, Yang Xiang
2024 J jnl
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning.
CoRR
Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo
2024 J jnl
Demystifying Lazy Training of Neural Networks from a Macroscopic Viewpoint.
CoRR
Yuqing Li, Tao Luo, Qixuan Zhou
2024 J jnl
Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers.
CoRR
Chuqi Chen, Qixuan Zhou, Yahong Yang, Yang Xiang, Tao Luo
2023 J jnl
On Residual Minimization for PDEs: Failure of PINN, Modified Equation, and Implicit Bias.
CoRR
Tao Luo, Qixuan Zhou
2022 A* conf
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width.
NeurIPS
Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu
2022 J jnl
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width.
CoRR
Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu
2022 A* conf
Towards Understanding the Condensation of Neural Networks at Initial Training.
NeurIPS
Hanxu Zhou, Qixuan Zhou, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu