Branch-and-cut approaches for chance-constrained formulations of reliable network design problems. - Yongjia Song; James R. Luedtke (Math. Program. Comput., 2013)

Optimal Containment of Misinformation in Social Media: A Scenario-Based Approach. - Yongjia Song; Thang N. Dinh (COCOA, 2014)

Chance-Constrained Binary Packing Problems. - Yongjia Song; James R. Luedtke; Simge Küçükyavuz (INFORMS J. Comput., 2014)

Simulation selection for empirical model comparison. - Qiong Zhang; Yongjia Song (WSC, 2015)

An Adaptive Partition-Based Approach for Solving Two-Stage Stochastic Programs with Fixed Recourse. - Yongjia Song; James R. Luedtke (SIAM J. Optim., 2015)

Risk-Averse Shortest Path Interdiction. - Yongjia Song; Siqian Shen (INFORMS J. Comput., 2016)

A Branch-Cut-and-Price Algorithm for the Energy Minimization Vehicle Routing Problem. - Ricardo Fukasawa; Qie He; Yongjia Song (Transp. Sci., 2016)

Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs. - Shabbir Ahmed 001; James R. Luedtke; Yongjia Song; Weijun Xie 001 (Math. Program., 2017)

Moment-Matching-Based Conjugacy Approximation for Bayesian Ranking and Selection. - Qiong Zhang; Yongjia Song (ACM Trans. Model. Comput. Simul., 2017)

Stochastic maximum flow interdiction problems under heterogeneous risk preferences. - Xiao Lei; Siqian Shen; Yongjia Song (Comput. Oper. Res., 2018)

Adaptive Partition-Based Level Decomposition Methods for Solving Two-Stage Stochastic Programs with Fixed Recourse. - Wim van Ackooij; Welington de Oliveira 001; Yongjia Song (INFORMS J. Comput., 2018)

A Joint Vehicle Routing and Speed Optimization Problem. - Ricardo Fukasawa; Qie He; Fernando Santos; Yongjia Song (INFORMS J. Comput., 2018)

On level regularization with normal solutions in decomposition methods for multistage stochastic programming problems. - Wim van Ackooij; Welington de Oliveira 001; Yongjia Song (Comput. Optim. Appl., 2019)

Adaptive Partition-based SDDP Algorithms for Multistage Stochastic Linear Programming. - Murwan Siddig; Yongjia Song (CoRR, 2019)

Stochastic network interdiction with incomplete preference. - Babak Saleck Pay; Jason R. W. Merrick; Yongjia Song (Networks, 2019)

Surgery Scheduling Under Case Cancellation and Surgery Duration Uncertainty. - Bowen Pang; Xiaolei Xie; Yongjia Song; Li Luo (IEEE Trans Autom. Sci. Eng., 2019)

Branch-and-Cut-and-Price for the Vehicle Routing Problem with Time Windows and Convex Node Costs. - Qie He; Stefan Irnich; Yongjia Song (Transp. Sci., 2019)

Team Based, Risk Adjusted Staffing During a Pandemic: An Agent Based Approach. - Vishnunarayan Girishan Prabhu; Kevin M. Taaffe; Caglar Caglayan; Tugçe Isik; Yongjia Song; William Hand (WSC, 2020)

Partition-based decomposition algorithms for two-stage Stochastic integer programs with continuous recourse. - Babak Saleck Pay; Yongjia Song (Ann. Oper. Res., 2020)

Adaptive Sequential SAA for Solving Two-stage Stochastic Linear Programs. - Raghu Pasupathy; Yongjia Song (CoRR, 2020)

A survey of network interdiction models and algorithms. - J. Cole Smith; Yongjia Song (Eur. J. Oper. Res., 2020)

Global Wildfire Outlook Forecast with Neural Networks. - Yongjia Song; Yuhang Wang (Remote. Sens., 2020)

Building Trust in Home Services - Stochastic Team-Orienteering with Consistency Constraints. - Yongjia Song; Marlin W. Ulmer; Barrett W. Thomas; Stein W. Wallace (Transp. Sci., 2020)

Adaptive Forwarding With Probabilistic Delay Guarantee in Low-Duty-Cycle WSNs. - Long Cheng 005; Linghe Kong; Yongjia Song; Jianwei Niu 002; Chengwen Luo 001; Yu Gu 001; Shahid Mumtaz; Tian He 001 (IEEE Trans. Wirel. Commun., 2020)

Adaptive Sequential Sample Average Approximation for Solving Two-Stage Stochastic Linear Programs. - Raghu Pasupathy; Yongjia Song (SIAM J. Optim., 2021)

A stochastic look-ahead approach for hurricane relief logistics operations planning under uncertainty. - Yanbin Chang; Yongjia Song; Burak Eksioglu (Ann. Oper. Res., 2022)

Adaptive partition-based SDDP algorithms for multistage stochastic linear programming with fixed recourse. - Murwan Siddig; Yongjia Song (Comput. Optim. Appl., 2022)

A Markov decision process model on dynamic routing for target surveillance. - Joshua T. Margolis; Yongjia Song; Scott J. Mason (Comput. Oper. Res., 2022)

Min-Max Optimal Design of Two-Armed Trials with Side Information. - Qiong Zhang; Amin Khademi; Yongjia Song (INFORMS J. Comput., 2022)

A multi-vehicle covering tour problem with speed optimization. - Joshua T. Margolis; Yongjia Song; Scott J. Mason (Networks, 2022)

Optimization models for integrated biorefinery operations. - Berkay Gulcan; Sandra D. Eksioglu; Yongjia Song; Mohammad S. Roni; Qiushi Chen (Optim. Lett., 2022)

Lexical Entrainment in Bilingual Language Use. - Yongjia Song; Kathlyn Canales; Yuting Gu; Jiachen Jin; Jian Meng; Yiqun Zhang; Judith F. Kroll; Gregory Scontras (CogSci, 2023)

A two-stage network interdiction-monitoring game. - Di H. Nguyen; Yongjia Song; J. Cole Smith (Networks, 2023)

Evacuation network design under road capacity improvement and uncertainty: second-order cone programming reformulations and Benders decomposition. - Qing-Mi Hu; Shaolong Hu; Zhijie Sasha Dong; Yongjia Song (Eur. J. Oper. Res., 2025)

Multistage stochastic programming with a random number of stages: Applications in hurricane disaster relief logistics planning. - Murwan Siddig; Yongjia Song (Eur. J. Oper. Res., 2025)

Multistage stochastic programming for integrated network optimization in hurricane relief logistics and evacuation planning. - Sudhan Bhattarai; Yongjia Song (Networks, 2025)