Yijie Peng - RankMe

107 papers A* 2Misc 26Journal 68Unranked 11

Year	Rank	Type	Title / 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`	LLM-Inspired Pretrain-Then-Finetune for Small-Data, Large-Scale Optimization. CoRR Zishi Zhang, Jinhui Han, Ming Hu, Yijie Peng
2026	J	`jnl`	Machine Learning-Assisted High-Dimensional Matrix Estimation. CoRR Wan Tian, Hui Yang, Zhouhui Lian, Lingyue Zhang, Yijie Peng
2026	J	`jnl`	Nonparametric Bayesian Optimization for General Rewards. CoRR Zishi Zhang, Tao Ren, Yijie Peng
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
2026	J	`jnl`	Optimal low-rank stochastic gradient estimation for LLM training. CoRR Zehao Li, Tao Ren, Zishi Zhang, Xi Chen, Yijie Peng
2026	J	`jnl`	Sharper Generalization Bounds for Transformer. CoRR Yawen Li, Tao Hu, Zhouhui Lian, Wan Tian, Yijie Peng, Huiming Zhang, Zhongyi Li
2025	J	`jnl`	A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation. CoRR Zehao Li, 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`	An Efficient Node Selection Policy for Monte Carlo Tree Search with Neural Networks: INFORMS J. Comput. Xiaotian Liu, Yijie Peng, Gongbo Zhang, Ruihan Zhou
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	J	`jnl`	Efficient Learning for Selecting Top-m Context-Dependent Designs. IEEE Trans Autom. Sci. Eng. Gongbo Zhang, Sihua Chen, Kuihua Huang, Yijie Peng
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`	Generalized likelihood ratio method for stochastic models with uniform random numbers as inputs. Eur. J. Oper. Res. Yijie Peng, Michael C. Fu, Jiaqiao Hu, Pierre L'Ecuyer, Bruno Tuffin
2025	J	`jnl`	InterCorpRel-LLM: Enhancing Financial Relational Understanding with Graph-Language Models. CoRR Qianyou Sun, Jiexin Zheng, Bohan Jin, Lihua Chen, Yijie Peng
2025	J	`jnl`	Low-Rank Adapter Layers and Bidirectional Gated Feature Fusion for Multimodal Hateful Memes Classification. Comput. Mater. Continua Youwei Huang, Han Zhong, Cheng Cheng, Yijie Peng
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`	SIRE-Net: Structure-Integrated Refinement and Enhancement Network for Limited-Angle CT Reconstruction. IEEE Trans. Instrum. Meas. Xin Tian, Yijie Peng, Hong Zhang, Dalong Tan, Yixin He, Min Yang
2025	J	`jnl`	Stochastic Approximation Methods for Distortion Risk Measure Optimization. CoRR Jinyang Jiang, Bernd Heidergott, Jiaqiao Hu, Yijie Peng
2025	J	`jnl`	Zeroth-order Informed Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer. CoRR Tao Ren, Zishi Zhang, Zehao Li, Jingyang Jiang, Shentao Qin, Guanghao Li, Yan Li, Yi Zheng, Xinping Li, Min Zhan, Yijie Peng
2024	J	`jnl`	A Q-learning algorithm for Markov decision processes with continuous state spaces. Syst. Control. Lett. Jiaqiao Hu, Xiangyu Yang, Jian-Qiang Hu, Yijie Peng
2024	J	`jnl`	AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems. CoRR Ruihan Zhou, L. Jeff Hong, Yijie Peng
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`	Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment. CoRR Yi Zheng, Zehao Li, Peng Jiang, Yijie Peng
2024	Misc	`conf`	Dynamic Assortment Optimization in Live-Streaming Sales. WSC Zishi Zhang, Haidong Li, Ying Liu, Yijie Peng
2024	J	`jnl`	Efficient Learning for Clustering and Optimizing Context-Dependent Designs. Oper. Res. Haidong Li, Henry Lam, Yijie Peng
2024	J	`jnl`	Eliminating Ratio Bias for Gradient-based Simulated Parameter Estimation. CoRR Zehao Li, 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	Misc	`conf`	Finite Budget Allocation Improvement in Ranking and Selection. WSC Xinbo Shi, Yijie Peng, Bruno Tuffin
2024	Misc	`conf`	Fixed-Precision Ranking and Selection as Markov Decision Process. WSC Ruihan Zhou, 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
2024	J	`jnl`	Sample-Efficient Clustering and Conquer Procedures for Parallel Large-Scale Ranking and Selection. CoRR Zishi Zhang, Yijie Peng
2024	J	`jnl`	Series Expansion of Probability of Correct Selection for Improved Finite Budget Allocation in Ranking and Selection. CoRR Xinbo Shi, Yijie Peng, Bruno Tuffin
2024	Misc	`conf`	Solving Mixed Integer Linear Programs by Monte Carlo Tree Search. WSC Gongbo Zhang, 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	Misc	`conf`	A Simulation Optimization Method for Scheduling Automated Guided Vehicles in a Stochastic Warehouse Management System. WSC Gongbo Zhang, Xiaotian Liu, Yijie Peng
2023	J	`jnl`	Asymptotically Optimal Sampling Policy for Selecting Top- INFORMS J. Comput. Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou
2023	J	`jnl`	Copula sensitivity analysis for portfolio credit derivatives. Eur. J. Oper. Res. Lei Lei, Yijie Peng, Michael C. Fu, Jian-Qiang Hu
2023	Misc	`conf`	Efficient Bandwidth Selection for Kernel Density Estimation. WSC Haidong Li, Long Wang, Yijie Peng, Di Wang
2023	J	`jnl`	Efficient Sampling Policy for Selecting a Subset With the Best. IEEE Trans. Autom. Control. Gongbo Zhang, Bin Chen, Qing-Shan Jia, Yijie Peng
2023	Misc	`conf`	POMDP-Based Ranking and Selection. WSC Ruihan Zhou, Yijie Peng
2023	J	`jnl`	Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms. CoRR Jinyang Jiang, Jiaqiao Hu, Yijie Peng
2023	Misc	`conf`	Top-Two Thompson Sampling for Selecting Context-Dependent Best Designs. WSC Xinbo Shi, Yijie Peng, Gongbo Zhang
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	J	`jnl`	A New Likelihood Ratio Method for Training Artificial Neural Networks. INFORMS J. Comput. Yijie Peng, Li Xiao, Bernd Heidergott, L. Jeff Hong, Henry Lam
2022	J	`jnl`	A Stochastic Approximation Method for Simulation-Based Quantile Optimization. INFORMS J. Comput. Jiaqiao Hu, Yijie Peng, Gongbo Zhang, Qi Zhang
2022	J	`jnl`	An Efficient Dynamic Sampling Policy For Monte Carlo Tree Search. CoRR Gongbo Zhang, Yijie Peng, Yilong Xu
2022	Misc	`conf`	An Efficient Dynamic Sampling Policy for Monte Carlo Tree Search. WSC Gongbo Zhang, Yijie Peng, Yilong Xu
2022	J	`jnl`	Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination. INFORMS J. Comput. Zhongshun Shi, Yijie Peng, Leyuan Shi, Chun-Hung Chen, Michael C. Fu
2022	J	`jnl`	Efficient Distributed Learning in Stochastic Non-cooperative Games without Information Exchange. CoRR Haidong Li, Anzhi Sheng, Yijie Peng, Long Wang
2022	Misc	`conf`	Estimating Confidence Regions for Distortion Risk Measures and Their Gradients. WSC Lei Lei, Christos Alexopoulos, Yijie Peng, James R. Wilson
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
2022	Misc	`conf`	Thompson Sampling Meets Ranking and Selection. WSC Yijie Peng, Gongbo Zhang
2021	J	`jnl`	Computing Sensitivities for Distortion Risk Measures. INFORMS J. Comput. Peter W. Glynn, Yijie Peng, Michael C. Fu, Jian-Qiang Hu
2021	Misc	`conf`	Dynamic Sampling Policy For Subset Selection. WSC Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou
2021	J	`jnl`	Efficient Learning for Selecting Important Nodes in Random Network. IEEE Trans. Autom. Control. Haidong Li, Xiaoyun Xu, Yijie Peng, Chun-Hung Chen
2021	J	`jnl`	Efficient Sampling Allocation Procedures for Optimal Quantile Selection. INFORMS J. Comput. Yijie Peng, Chun-Hung Chen, Michael C. Fu, Jian-Qiang Hu, Ilya O. Ryzhov
2021	—	`conf`	Gradient-Based Simulation Optimization for Economic Design of Control Charts. CASE Gongbo Zhang, Yijie Peng, Shuhuai Yang
2021	J	`jnl`	Noise Optimization for Artificial Neural Networks. CoRR Li Xiao, Zeliang Zhang, Yijie Peng
2021	J	`jnl`	Pathological Image Segmentation with Noisy Labels. CoRR Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou
2021	Misc	`conf`	Variance Reduction for Generalized Likelihood Ratio Method in Quantile Sensitivity Estimation. WSC Yijie Peng, Michael C. Fu, Jiaqiao Hu, Pierre L'Ecuyer, Bruno Tuffin
2020	Misc	`conf`	Asynchronous Value Iteration for Markov Decision Processes with Continuous State Spaces. WSC Xiangyu Yang, Jian-Qiang Hu, Jiaqiao Hu, Yijie Peng
2020	Misc	`conf`	Confidence Intervals and Regions for Quantiles using Conditional Monte Carlo and Generalized Likelihood Ratios. WSC Lei Lei, Christos Alexopoulos, Yijie Peng, James R. Wilson
2020	Misc	`conf`	Context-Dependent Ranking and Selection under a Bayesian Framework. WSC Haidong Li, Henry Lam, Zhe Liang, Yijie Peng
2020	—	`conf`	Dynamic Sampling Allocation for Selecting a Good Enough Alternative. CASE Gongbo Zhang, Chun-Hung Chen, Qing-Shan Jia, Yijie Peng
2020	J	`jnl`	Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling. Oper. Res. Yijie Peng, Michael C. Fu, Bernd Heidergott, Henry Lam
2020	J	`jnl`	On the Variance of Single-Run Unbiased Stochastic Derivative Estimators. INFORMS J. Comput. Zhenyu Cui, Michael C. Fu, Jian-Qiang Hu, Yanchu Liu, Yijie Peng, Lingjiong Zhu
2020	J	`jnl`	Optimal unbiased estimation for expected cumulative discounted cost. Eur. J. Oper. Res. Zhenyu Cui, Michael C. Fu, Yijie Peng, Lingjiong Zhu
2020	Misc	`conf`	Sequential Sampling for a Ranking and Selection Problem with Exponential Sampling Distributions. WSC Gongbo Zhang, Haidong Li, Yijie Peng
2020	J	`jnl`	Stochastic Control Framework for Determining Feasible Alternatives in Sampling Allocation. IEEE Trans. Autom. Control. Yijie Peng, Jie Song, Jie Xu, Edwin K. P. Chong
2020	J	`jnl`	Technical Note - Central Limit Theorems for Estimated Functions at Estimated Points. Oper. Res. Peter W. Glynn, Lin Fan, Michael C. Fu, Jian-Qiang Hu, Yijie Peng
2020	—	`conf`	Training Artificial Neural Networks by Generalized Likelihood Ratio Method: An Effective Way to Improve Robustness. CASE Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke, Shuhuai Yang
2019	J	`jnl`	A Coordinate Optimization Approach for Concurrent Design. IEEE Trans. Autom. Control. Yijie Peng, Edward Huang, Jie Xu, Zhongshun Shi, Chun-Hung Chen
2019	Misc	`conf`	Dynamic Sampling Procedure for Decomposable Random Networks. WSC Haidong Li, Yijie Peng, Xiaoyun Xu, Chun-Hung Chen, Bernd Heidergott
2019	J	`jnl`	Efficient Sampling for Selecting Important Nodes in Random Network. CoRR Haidong Li, Xiaoyun Xu, Yijie Peng, Chun-Hung Chen
2019	J	`jnl`	Efficient Simulation Sampling Allocation Using Multifidelity Models. IEEE Trans. Autom. Control. Yijie Peng, Jie Xu, Loo Hay Lee, Jianqiang Hu, Chun-Hung Chen
2019	Misc	`conf`	Estimating Quantile Sensitivity for Financial Models with Correlations and Jumps. WSC Yijie Peng, Michael C. Fu, Jian-Qiang Hu, Lei Lei
2019	J	`jnl`	From Data to Stochastic Modeling and Decision Making: What Can We Do Better? Asia Pac. J. Oper. Res. Joost Berkhout, Bernd Heidergott, Henry Lam, Yijie Peng
2019	J	`jnl`	Preface. Asia Pac. J. Oper. Res. Yijie Peng
2019	J	`jnl`	Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness. CoRR Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke
2019	—	`conf`	optimizing outpatient Department Staffing Level using Multi-Fidelity Models. CASE Bowen Pang, Xiaolei Xie, Bernd Heidergott, Yijie Peng
2018	J	`jnl`	A New Unbiased Stochastic Derivative Estimator for Discontinuous Sample Performances with Structural Parameters. Oper. Res. Yijie Peng, Michael C. Fu, Jian-Qiang Hu, Bernd Heidergott
2018	Misc	`conf`	A Review of Static and Dynamic Optimization for Ranking and Selection. WSC Yijie Peng, Chun-Hung Chen, Edwin K. P. Chong, Michael C. Fu
2018	J	`jnl`	Applications of generalized likelihood ratio method to distribution sensitivities and steady-state simulation. Discret. Event Dyn. Syst. Lei Lei, Yijie Peng, Michael C. Fu, Jian-Qiang Hu
2018	—	`conf`	Dynamic Sampling for Feasibility Determination. CASE Yijie Peng, Jie Song, Jie Xu, Edwin K. P. Chong
2018	—	`conf`	Efficient Sampling Procedure for Selecting the Largest Stationary Probability of a Markov Chain. CASE Haidong Li, Xiaoyun Xu, Yijie Peng, Chun-Hung Chen
2018	J	`jnl`	Gradient-Based Myopic Allocation Policy: An Efficient Sampling Procedure in a Low-Confidence Scenario. IEEE Trans. Autom. Control. Yijie Peng, Chun-Hung Chen, Michael C. Fu, Jian-Qiang Hu
2018	J	`jnl`	Ranking and Selection as Stochastic Control. IEEE Trans. Autom. Control. Yijie Peng, Edwin K. P. Chong, Chun-Hung Chen, Michael C. Fu
2017	—	`conf`	An optimization approach for team coordination through information sharing. CASE Yijie Peng, Edward Huang, Jie Xu, Chun-Hung Chen
2017	J	`jnl`	Myopic Allocation Policy With Asymptotically Optimal Sampling Rate. IEEE Trans. Autom. Control. Yijie Peng, Michael C. Fu
2017	Misc	`conf`	On the asymptotic analysis of quantile sensitivity estimation by Monte Carlo simulation. WSC Yijie Peng, Michael C. Fu, Peter W. Glynn, Jianqiang Hu
2017	J	`jnl`	Ranking and Selection as Stochastic Control. CoRR Yijie Peng, Edwin K. P. Chong, Chun-Hung Chen, Michael C. Fu
2016	J	`jnl`	Dynamic Sampling Allocation and Design Selection. INFORMS J. Comput. Yijie Peng, Chun-Hung Chen, Michael C. Fu, Jian-Qiang Hu
2016	—	`conf`	Estimating distribution sensitivity using generalized likelihood ratio method. WODES Yijie Peng, Michael C. Fu, Jian-Qiang Hu
2016	Misc	`conf`	On the regularity conditions and applications for generalized likelihood ratio method. WSC Yijie Peng, Michael C. Fu, Jian-Qiang Hu
2015	Misc	`conf`	Non-monotonicity of probability of correct selection. WSC Yijie Peng, Chun-Hung Chen, Michael C. Fu, Jian-Qiang Hu
2013	Misc	`conf`	A dynamic framework for statistical selection problems. WSC Yijie Peng, Michael C. Fu, Chun-Hung Chen, Jian-Qiang Hu
2013	J	`jnl`	Efficient Simulation Resource Sharing and Allocation for Selecting the Best. IEEE Trans. Autom. Control. Yijie Peng, Chun-Hung Chen, Michael C. Fu, Jian-Qiang Hu