Yifan Lin

According to our database, Yifan Lin authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data.

Tianyi Liu, Yifan Lin, Enlu Zhou

SIAM J. Optim., March, 2024

Delay-Aware Cooperative Task Offloading for Multi-UAV Enabled Edge-Cloud Computing.

Zhuoyi Bai, Yifan Lin, Yang Cao, Wei Wang

IEEE Trans. Mob. Comput., February, 2024

Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate.

Yifan Lin, Yuhao Wang, Enlu Zhou

CoRR, 2024

27.5 A Wireless Power Transfer System with Up-to-27.9% Efficiency Improvement under Coupling Coefficient Ranging from 0.1 to 0.39 Based on Phase-Shift/Time-Constant Detection and Hybrid Transmission Power Control.

Yutang Chen, Yuxuan Luo, Yifan Lin, Lei Shao, Dihu Chen, Jianping Guo

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

Single-cell RNA sequencing integrated with bulk RNA sequencing analysis reveals diagnostic and prognostic signatures and immunoinfiltration in gastric cancer.

Yiyan Zhai, Jingyuan Zhang, Zhihong Huang, Rui Shi, Fengying Guo, Fanqin Zhang, Meilin Chen, Yifei Gao, Xiaoyu Tao, Zhengseng Jin, Siyu Guo, Yifan Lin, Peizhi Ye, Jiarui Wu

Comput. Biol. Medicine, September, 2023

SoyDNGP: a web-accessible deep learning framework for genomic prediction in soybean breeding.

Pengfei Gao, Haonan Zhao, Zheng Luo, Yifan Lin, Wanjie Feng, Yaling Li, Fanjiang Kong, Xia Li, Chao Fang, Xutong Wang

Briefings Bioinform., September, 2023

Bayesian Distributionally Robust Optimization.

Alexander Shapiro, Enlu Zhou, Yifan Lin

SIAM J. Optim., June, 2023

A Dynamic Mode Decomposition Based Reduced-Order Model For Parameterized Time-Dependent Partial Differential Equations.

Yifan Lin, Zhen Gao, Yuanhong Chen, Xiang Sun

J. Sci. Comput., June, 2023

Energy Dispatch for CCHP System in Summer Based on Deep Reinforcement Learning.

Wenzhong Gao, Yifan Lin

Entropy, March, 2023

Online Identification Method of Tea Diseases in Complex Natural Environments.

Senlin Xie, Chunwu Wang, Chang Wang, Yifan Lin, Xiaoqing Dong

IEEE Open J. Comput. Soc., 2023

Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes.

Yifan Lin, Enlu Zhou

CoRR, 2023

Reusing Historical Observations in Natural Policy Gradient.

Yifan Lin, Enlu Zhou

Proceedings of the Winter Simulation Conference, 2023

Impulse Voltage of DC Tower Gap Operation Predicted based on Adaboost-SVR Algorithm.

Yu Su, Xiuyuan Yao, Bingxue Yang, Yifan Lin, Yujian Ding

Proceedings of the 7th International Conference on Computing and Data Analysis, 2023

Self-Talk with Superhero Zip: Supporting Children's Socioemotional Learning with Conversational Agents.

Yue Fu, Mingrui Ray Zhang, Lynn K. Nguyen, Yifan Lin, Rebecca Michelson, Tala June Tayebi, Alexis Hiniker

Proceedings of the 22nd Annual ACM Interaction Design and Children Conference, 2023

2022

A reduced order method for nonlinear parameterized partial differential equations using dynamic mode decomposition coupled with <i>k</i>-nearest-neighbors regression.

Zhen Gao, Yifan Lin, Xiang Sun, Xueying Zeng

J. Comput. Phys., 2022

Social Emotional Learning with Conversational Agents: Reviewing Current Designs and Probing Parents' Ideas for Future Ones.

Yue Fu, Rebecca Michelson, Yifan Lin, Lynn K. Nguyen, Tala June Tayebi, Alexis Hiniker

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs.

Yifan Lin, Yuhao Wang, Enlu Zhou

CoRR, 2022

Illusory Land.

Xi Wang, Shaoyu Su, Liaowei Chen, Yifan Lin, Francisco Manuel Barros, Zao Song

Proceedings of the SIGGRAPH Asia 2022 Art Gallery, 2022

Bayesian Risk Markov Decision Processes.

Yifan Lin, Yuxuan Ren, Enlu Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Risk-Aware Model Predictive Control Enabled by Bayesian Learning.

Yingke Li, Yifan Lin, Enlu Zhou, Fumin Zhang

Proceedings of the American Control Conference, 2022

2021

A Bayesian Risk Approach to MDPs with Parameter Uncertainty.

Yifan Lin, Yuxuan Ren, Enlu Zhou

CoRR, 2021

A Bayesian Approach to Online Simulation Optimization with Streaming Input Data.

Tianyi Liu, Yifan Lin, Enlu Zhou

Proceedings of the Winter Simulation Conference, 2021

Locating the Security Patches for Disclosed OSS Vulnerabilities with Vulnerability-Commit Correlation Ranking.

Xin Tan, Yuan Zhang, Chenyuan Mi, Jiajun Cao, Kun Sun, Yifan Lin, Min Yang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Deep Learning-Based Comparative Modeling of Carbon Emissions Projections.

Dacheng Hou, Haoyu Zhang, Lili Li, Xiaojun Wang, Yifan Lin, Huandi Du

Proceedings of the 3rd International Conference on Artificial Intelligence and Advanced Manufacture, 2021

2020

A Nested Simulation Optimization Approach for Portfolio Selection.

Yifan Lin, Enlu Zhou, Aly Megahed

Proceedings of the Winter Simulation Conference, 2020

2019

Estimation and Multiscale Transformation of Aboveground Biomass: An HGSU-Oriented Approach Based on Multisource Data.

Yingkun Du, Jing Wang, Zhengjun Liu, Yifan Lin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Estimation and Prediction of Vegetation Coverage in Yancheng National Nature Reserve.

Yingkun Du, Yifan Lin, Jing Wang, Xuesong Kong, Zhifeng Jin, Xiang Zhao

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Object-Oriented Classification for Ecologically Sound Land Based on High-Resolution Images.

Jing Wang, Xiaoxiang Zhang, Yingkun Du, Xue Jia, Yifan Lin

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Estimating the Aboveground Biomass of Phragmites Australis (Common Reed) Based on Multi-Source Data.

Yingkun Du, Jing Wang, Yifan Lin, Zhengjun Liu, Haiying Yu, Haiyan Yi

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018