Jinyang Jiang

25 papers A* 2Misc 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Robust Estimator for Multi-Agent Reinforcement Learning.
CoRR
Zhongyi Li, Wan Tian, Jingyu Chen, Kangyao Huang, Huiming Zhang, Hui Yang, Tao Ren, Jinyang Jiang, Yijie Peng, Yikun Ban, Fuzhen Zhuang
2026 J jnl
Omni-Masked Gradient Descent: Memory-Efficient Optimization via Mask Traversal with Improved Convergence.
CoRR
Hui Yang, Tao Ren, Jinyang Jiang, Wan Tian, Yijie Peng
2025 — conf
A Unified Framework for Multi-Stage Decision Optimization with Deep Reinforcement Learning and Foundation Models.
CASE
Qinghao Wang, Jinyang Jiang, Xiaotian Liu, Tao Ren, Yi Zheng, Cheng Zhang, Yaodong Yang, Yijie Peng
2025 J jnl
Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales.
CoRR
Jinyang Jiang, Jinhui Han, Yijie Peng, Ying Zhang
2025 J jnl
CoNNect: A Swiss-Army-Knife Regularizer for Pruning of Neural Networks.
CoRR
Christian Franssen, Jinyang Jiang, Yijie Peng, Bernd Heidergott
2025 J jnl
CoNNect: Connectivity-Based Regularization for Structural Pruning of Neural Networks.
Trans. Mach. Learn. Res.
Christian P. C. Franssen, Jinyang Jiang, Yijie Peng, Bernd Heidergott
2025 A* conf
FLOPS: Forward Learning with OPtimal Sampling.
ICLR
Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng
2025 J jnl
Forward Learning with Differential Privacy.
CoRR
Mingqian Feng, Zeliang Zhang, Jinyang Jiang, Yijie Peng, Chenliang Xu
2025 J jnl
Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems.
CoRR
Anbang Liu, Zhi-Long Chen, Jinyang Jiang, Xi Chen
2025 J jnl
Noise Optimization in Artificial Neural Networks.
IEEE Trans Autom. Sci. Eng.
Li Xiao, Zeliang Zhang, Kuihua Huang, Jinyang Jiang, Yijie Peng
2025 J jnl
RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training.
CoRR
Tao Ren, Jinyang Jiang, Hui Yang, Wan Tian, Minhao Zou, Guanghao Li, Zishi Zhang, Qinghao Wang, Shentao Qin, Yanjun Zhao, Rui Tao, Hui Shao, Yijie Peng
2025 J jnl
Stochastic Approximation Methods for Distortion Risk Measure Optimization.
CoRR
Jinyang Jiang, Bernd Heidergott, Jiaqiao Hu, Yijie Peng
2024 J jnl
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor.
CoRR
Maida Wang, Jinyang Jiang, Peter V. Coveney
2024 J jnl
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training.
CoRR
Zeliang Zhang, Jinyang Jiang, Zhuo Liu, Susan Liang, Yijie Peng, Chenliang Xu
2024 J jnl
Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode.
CoRR
Jinyang Jiang, Xiaotian Liu, Tao Ren, Qinghao Wang, Yi Zheng, Yufu Du, Yijie Peng, Cheng Zhang
2024 Misc conf
Distortion Risk Measure-Based Deep Reinforcement Learning.
WSC
Jinyang Jiang, Bernd Heidergott, Jiaqiao Hu, Yijie Peng
2024 J jnl
FLOPS: Forward Learning with OPtimal Sampling.
CoRR
Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng
2024 A* conf
One Forward is Enough for Neural Network Training via Likelihood Ratio Method.
ICLR
Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
2024 — conf
RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search.
ICAIF
Tao Ren, Ruihan Zhou, Jinyang Jiang, Jiafeng Liang, Qinghao Wang, Yijie Peng
2023 J jnl
A Novel Noise Injection-based Training Scheme for Better Model Robustness.
CoRR
Zeliang Zhang, Jinyang Jiang, Minjie Chen, Zhiyuan Wang, Yijie Peng, Zhaofei Yu
2023 J jnl
Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms.
CoRR
Jinyang Jiang, Jiaqiao Hu, Yijie Peng
2023 J jnl
Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method.
CoRR
Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
2022 — conf
Noise Optimization in Artificial Neural Networks.
CASE
Li Xiao, Zeliang Zhang, Jinyang Jiang, Yijie Peng
2022 Misc conf
Quantile-Based Policy Optimization for Reinforcement Learning.
WSC
Jinyang Jiang, Yijie Peng, Jiaqiao Hu
2022 J jnl
Quantile-Based Policy Optimization for Reinforcement Learning.
CoRR
Jinyang Jiang, Jiaqiao Hu, Yijie Peng