Publications

Selected Publications 

  1. Yang, Y. (2024). DeLuxing: deep Lagrangian underestimate fixing for column-generation-based exact methods. Operations Research.
  2. Yang, Y. (2023). An exact price-cut-and-enumerate method for the capacitated multi-trip vehicle routing problem with time windows Transportation Science, 57 (1), 230-251.
  3. Yang, Y., Boland, B., Savelsbergh, M. (2021). Multivariable branching: A 0-1 knapsack problem case study. INFORMS Journal on Computing, 33 (4), 1354-1367.
  4. Yang, Y., Yan, C., Cao, Y., Roberti, R. (2023). Planning robust drone-truck delivery routes under road traffic uncertainty. European Journal of Operational Research, 309 (3), 1145-1160.
  5. Yang, Y., Boland, N., Dilkina, B., Savelsbergh, M. (2022). Learning generalized strong branching for set covering, set packing and 0-1 knapsack problems. European Journal of Operational Research, 301 (3), 828-840.
  6. Yang, Y., Ridouane, Y., Boland, N., Erera, A., Savelsbergh, M. (2022). Substitution-based equipment balancing in service networks with multiple equipment types. European Journal of Operational Research, 300 (3), 966-978.
  7. Lan, G., Yang, Y. (2019). Accelerated stochastic algorithms for nonconvex finite-sum and multi-block optimization. SIAM Journal on Optimization, 29 (4), 2753–2784.

 

Working Papers

  1. You, Z., Yang, Y., Wang, X., Yin, W. (2023). Two-stage learning to branch in branch-price-and-cut algorithms for solving vehicle routing problems exactly. Under major revisionat Operations Research.
  2. Wang, G., Yang, Y. (2024). Robust sparse principal component analysis with non-oblivious adversarial perturbations. Targeted for Operations Research.
  3. Liu, H., Tong, J., Yang, Y. (2024). Almost dimension-free zeroth-order algorithms for stochastic programming under dimension-independent budget conditions. Targeted for Operations Research.
  4. Wu, Q., Qu, C., Zhou, M., Yang, Y. (2024). Optimal design of onshore wind farms: integrating road network construction, cable routing, and realistic power loss considerations. Targeted for Management Science.
  5. You, Z., Yang, Y. (2024). RouteOpt: an open-source modularized exact solver for vehicle routing problems. Targeted for INFORMS Journal on Computing.
  6. Wang, Z., Zhu, R., Ding, J., Yang, Y., You, K. (2022). An exact method for the daily package shipment problem with outsourcing. Under 4th review at Transportation Research Part E: Logistics and Transportation Review.
  7. Jin, X., Han, D., Cao, Y.,, Yang, Y. (2023). Rebalancing an e-scooter-sharing system with en-route charging capability. Under 1st round review Transportation Research Part C: Emerging Technologies.

 

Other Publications 

  1. Chen, X., Yang, Y., Wang, Z., Song, J., Wang, J., He, G. (2024). Battery swapping station management with heterogeneous battery functionality degradation. IEEE Transactions on Smart Grid, in press.
  2. Chen, X., Yang, Y., Wang, J., Song, J., He, G.,(2023). Battery valuation and management for battery swapping station. Energy, 128120.
  3. Chen, X., Yang, Y., Song, J., Wang, J., He, G.,(2023). Hybrid energy storage system optimization with battery charging and swapping coordinationIEEE Transactions on Automation Science and Engineering, in press.
  4. He, G., Chen, X., Yang, Y., Wang, J., Song, J. (2022). Hybrid portable and stationary energy storage systems with battery charging and swapping coordination. 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), pp. 1465-1479. IEEE, 2022. —Best Paper Award.
  5. Han, D., Tong, J., Yang, Y., Liu, H., Liang, X., Yaddanapudi, S., Park, J., Tan, J., Furutani, K. , Beltran, C., Lu, B. (2024). Optimizing spot intensity with lower bound constraints for IMPT: exposing shortcomings and introducing an enhanced strategy. Medical Physics, in press.
  6. Wang, Y., Liu, H., Yang, Y., Lu, B. (2022). A practical algorithm for VMAT optimization using column generation techniques. Medical Physics, 49 (7), 4335-4352.
  7. Tseng, W., Liu, H., Yang, Y., Liu, C., Furutani, K., Beltran, C., Lu, B. (2023). Performance assessment of variant UNet-based deep-learning dose engines for MR-Linac-based prostate IMRT plans. Physics in Medicine & Biology, in press.
  8. Tseng, W., Liu, H., Yang, Y., Liu, C., Lu, B. (2022). An ultra-fast deep-learning-based dose engine for prostate VMAT via knowledge distillation framework with limited patient data. Physics in Medicine & Biology, 68 (1), 015002.
  9. Yang, Y., Dong, B., Wen, Z. (2017). Randomized algorithms for high quality treatment planning in volumetric modulated arc therapy. Inverse Problems, 33 (2), 025007.
  10. Zhang, X., Yang, Y., Cochran, A. L., McDonald, N., Zhao, X. (2021). Optimizing demand-responsive paratransit operations: A mixed integer programming approach. 2021 55th Annual Conference on Information Sciences and Systems (CISS), pp. 1-6. IEEE, 2021.