Noise Optimization in Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Jinyang Jiang 001; Yijie Peng (CASE, 2022)

Quantile-Based Policy Optimization for Reinforcement Learning. - Jinyang Jiang 001; Yijie Peng; Jiaqiao Hu (WSC, 2022)

A Novel Noise Injection-based Training Scheme for Better Model Robustness. - Zeliang Zhang; Jinyang Jiang 001; Minjie Chen; Zhiyuan Wang; Yijie Peng; Zhaofei Yu (CoRR, 2023)

Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms. - Jinyang Jiang 001; Jiaqiao Hu; Yijie Peng (CoRR, 2023)

Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method. - Jinyang Jiang 001; Zeliang Zhang; Chenliang Xu; Zhaofei Yu; Yijie Peng (CoRR, 2023)

RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search. - Tao Ren 006; Ruihan Zhou; Jinyang Jiang 001; Jiafeng Liang; Qinghao Wang; Yijie Peng (ICAIF, 2024)

One Forward is Enough for Neural Network Training via Likelihood Ratio Method. - Jinyang Jiang 001; Zeliang Zhang; Chenliang Xu; Zhaofei Yu; Yijie Peng (ICLR, 2024)

Distortion Risk Measure-Based Deep Reinforcement Learning. - Jinyang Jiang 001; Bernd Heidergott; Jiaqiao Hu; Yijie Peng (WSC, 2024)

Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode. - Jinyang Jiang 001; Xiaotian Liu; Tao Ren 006; Qinghao Wang; Yi Zheng; Yufu Du; Yijie Peng; Cheng Zhang (CoRR, 2024)

Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training. - Zeliang Zhang; Jinyang Jiang 001; Zhuo Liu; Susan Liang; Yijie Peng; Chenliang Xu (CoRR, 2024)

A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor. - Maida Wang; Jinyang Jiang 001; Peter V. Coveney (CoRR, 2024)

FLOPS: Forward Learning with OPtimal Sampling. - Tao Ren 006; Zishi Zhang; Jinyang Jiang 001; Guanghao Li; Zeliang Zhang; Mingqian Feng; Yijie Peng (ICLR, 2025)

Noise Optimization in Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Kuihua Huang; Jinyang Jiang 001; Yijie Peng (IEEE Trans Autom. Sci. Eng., 2025)

Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems. - Anbang Liu; Zhi-Long Chen; Jinyang Jiang 001; Xi Chen (CoRR, 2025)

CoNNect: A Swiss-Army-Knife Regularizer for Pruning of Neural Networks. - Christian Franssen; Jinyang Jiang 001; Yijie Peng; Bernd Heidergott (CoRR, 2025)

Forward Learning with Differential Privacy. - Mingqian Feng; Zeliang Zhang; Jinyang Jiang 001; Yijie Peng; Chenliang Xu (CoRR, 2025)