Multi-criteria group decision making under uncertainty: Application in reservoir flood control operation. - Feilin Zhu; Ping'an Zhong; Yimeng Sun (Environ. Model. Softw., 2018)

Optimized Light-Weight Convolutional Neural Networks for Histopathologic Cancer Detection. - Yimeng Sun; Fairoza Amira Binti Hamzah; Badr Mochizuki (LifeTech, 2020)

OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames. - Alyssa Hasegawa Smith; David Assefa Tofu; Mona Jalal; Edward Edberg Halim; Yimeng Sun; Vidya Akavoor; Margrit Betke; Prakash Ishwar; Lei Guo 017; Derry Wijaya (CoRR, 2020)

OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data. - Vibhu Bhatia; Vidya Prasad Akavoor; Sejin Paik; Lei Guo 017; Mona Jalal; Alyssa Hasegawa Smith; David Assefa Tofu; Edward Edberg Halim; Yimeng Sun; Margrit Betke; Prakash Ishwar; Derry Tanti Wijaya (EMNLP (Demos), 2021)

Joint pricing, ordering and order fulfillment decisions for a dual-channel supply chain with demand uncertainties: A distribution-free approach. - Ruozhen Qiu; Lihua Hou; Yimeng Sun; Minghe Sun; Yue Sun (Comput. Ind. Eng., 2021)

SALSTM: An improved LSTM algorithm for predicting the competitiveness of export products. - Miao Yu; Tao Liu; Zhengxiang Guan; Yimeng Sun; Jie Guo; Liuya Chen; Yajie He (Int. J. Intell. Syst., 2022)

Detection and Classification of Malaria Parasite Based on Improved YOLOv5 Model. - Zhiming Liu; Hongying Liu; Yimeng Sun (CISP-BMEI, 2023)

EMoDi: Entity-Enhanced Momentum-Difference Contrastive Learning for Semantic-Aware Verification of Scientific Information. - Ze Yang; Yimeng Sun; Takao Nakaguchi; Masaharu Imai (ICKG, 2023)

Improved Attacks on LowMC with Algebraic Techniques. - Yimeng Sun; Jiamin Cui; Meiqin Wang (IACR Trans. Symmetric Cryptol., 2023)

Risk-Aware Operation Modeling for Ride-Hailing Fleet in Order Grabbing Mode: A Distributional Reinforcement Learning Approach. - Yimeng Sun; Zhaohao Ding; Zechun Hu; Wei-Jen Lee (IEEE Trans. Smart Grid, 2023)

A machine learning framework for multi-step-ahead prediction of groundwater levels in agricultural regions with high reliance on groundwater irrigation. - Feilin Zhu; Mingyu Han; Yimeng Sun; Yurou Zeng; Lingqi Zhao; Ou Zhu; Tiantian Hou; Ping'an Zhong (Environ. Model. Softw., 2024)

Affinely adjustable robust optimization for a multi-period inventory problem with capital constraints and demand uncertainties. - Ruozhen Qiu; Yimeng Sun; Minghe Sun; Yue Yu (Int. Trans. Oper. Res., 2024)

Risk-Aware Energy Management of Data Center via Job Scheduling. - Zhaohao Ding; Zhenkun Zhao; Yimeng Sun; Xinran Li; Xuan Wei (IAS, 2025)

Dynamic Clustering Enhanced Ensemble Learning for Distributed Photovoltaic Power Forecasting. - Xinyu Duan; Yehan Wang; Yimeng Sun; Zixiao Dou; Xinran Li; Xuan Wei; Zhaohao Ding (IAS, 2025)

Privacy-Preserving Energy Sharing Among Cloud Service Providers via Collaborative Job Scheduling. - Yimeng Sun; Zhaohao Ding; Yuejun Yan; Zhaoyang Wang; Payman Dehghanian; Wei-Jen Lee (IEEE Trans. Smart Grid, 2025)

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers. - Yimeng Sun; Zhaohao Ding; Payman Dehghanian; Fei Teng (CoRR, 2025)