Journal articles
- Z. Wang, S. Onal, P. Pandit, A. Gladfelter, M. Buac. (2026) Accessible autism screening in children: A pilot study of markerless gait analysis from ordinary walking videos. International Journal of Developmental Disabilities, published ahead of print 29 September 2026, 1–15. PDF Abstract
- P. Bahmani, S. Enayati, S. Ansari, S. Gururajan, Z. Wang. (2026) Drone-enhanced last-mile medical delivery in rural areas: A weather-aware optimization approach. Transportation Research Part C, 193: 105920. PDF Abstract
- L. Zhang, M. Huang, Z. Wang, X. Wang, S.-C. Fang. (2026) Sharing orders or vehicles? Multi-carrier robust service network design problem. Transportation Research Part E, 211: 104859. PDF Abstract
- L. Zhang, M. Huang, Y. Zhang, Z. Wang, M. Li, X. Wang. (2026) Data-driven robust service network design problem: Balancing robustness and conservatism. Expert Systems with Applications, 317: 131970. PDF Abstract
- L. Anderson, A. Gladfelter, M. Buac, W. C. Cheung, Z. Wang, S. Onal. (2025) Relationships between cultural factors and motor abilities in autistic and non-autistic children. Behavioral Sciences, 15(12): 1742. PDF Abstract
- Q. Zhang, Z. Wang, M. Huang, H. Wang, X. Wang, S.-C. Fang. (2025) Collaborative supply chain network design under demand uncertainty: A robust optimization approach. International Journal of Production Economics, 279: 109465. PDF Abstract
- F. Lu, Z. Du, Z. Wang, L. Wang, S. Wang. (2025) Towards enhancing the crowdsourcing door-to-door delivery: An effective model in Beijing. Journal of Industrial and Management Optimization, 21(3): 2371–2395. PDF Abstract
- M. Buac, G. Ibarra, R. Torres, S. Onal, A. Gladfelter, Z. Wang. (2023) The urgent need for neuroscience research to consider culture when assessing the development of gait in autistic children: A scoping review. Journal of Integrative Neuroscience, 22(2): 51. PDF Abstract
- Q. Zhang, Z. Wang, M. Huang, Y. Yu, S.-C. Fang. (2022) Heterogeneous multi-depot collaborative vehicle routing problem. Transportation Research Part B, 160: 1–20. PDF Abstract
- C. Wang, S. Cui, R. Wu, Z. Wang. (2022) Dynamic pricing of differentiated products with incomplete information based on reinforcement learning. IET Collaborative Intelligent Manufacturing, 4(2): 123–138. PDF Abstract
- Z. Wang, M. Xie. (2022) Data approximation by L1 spline fits with free knots. Computer Aided Geometric Design, 92: 102064. PDF Abstract
- Z. Pei, M. Wan, Z.-Z. Jiang, Z. Wang, X. Dai. (2021) An approximation algorithm for unrelated parallel machine scheduling under TOU electricity tariffs. IEEE Transactions on Automation Science and Engineering, 18(2): 743–756. PDF Abstract
- Z. Wang, Y. Dai, S.-C. Fang, Z.-Z. Jiang, Y. Xu. (2020) Inventory transshipment game with limited supply: Trap or treat. Naval Research Logistics, 67(6): 383–403. PDF Abstract
- Z. Pei, M. Wan, Z. Wang. (2020) A new approximation algorithm for unrelated parallel machine scheduling with release dates. Annals of Operations Research, 285(1–2): 397–425. PDF Abstract
- K. Nodooshan, R. Moraga, S.-J. Chen, C. Nguyen, Z. Wang, S. Mohseni. (2018) Environmental and economic optimization of algal biofuel supply chain with multiple technological pathways. Industrial & Engineering Chemistry Research, 57(20): 6910–6925.
- T. Nie, Z. Wang, S.-C. Fang, J. Lavery. (2017) Convex shape preservation of cubic L1 spline fits. Annals of Data Science, 4(1): 123–147. PDF Abstract
- J. Zhang, S.-C. Fang, Y. Xu, Z. Wang. (2017) A cooperative game with envy. Journal of Industrial and Management Optimization, 13(4): 2049–2066. PDF Abstract
- Z. Wang, S.-C. Fang, J. Lavery. (2015) On shape-preserving capability of cubic L1 spline fits. Computer Aided Geometric Design, 40: 59–75. PDF Abstract
- Z. Wang, J. Lavery, S.-C. Fang. (2014) Approximation of irregular geometric data by locally calculated univariate cubic L1 spline fits. Annals of Data Science, 1(1): 5–14. PDF Abstract
- Z. Wang, S.-C. Fang, W. Xing. (2013) On constraint qualifications: Motivation, design and inter-relations. Journal of Industrial and Management Optimization, 9(4): 983–1001. PDF Abstract
- W. Xing, S.-C. Fang, R.-L. Sheu, Z. Wang. (2012) A canonical dual approach for solving linearly constrained quadratic programs. European Journal of Operational Research, 218(1): 21–27. PDF Abstract
Conference papers (peer reviewed)
- G. Sun, W. Wu, Z. Guo, Z. Wang, P. Khosravi, C. Chen. (2026) Unlocking multi-site clinical data: A federated approach to privacy-first child autism behavior analysis. CVPR 2026 Workshop CV4CHL (Proceeding). Preprint Abstract
- H. Yu, S.-J. Chen, Z. Wang. (2026) Extending Heijunka to disassembly operations: A rolling-horizon leveling model for structure-aligned production in duck meat processing. IISE 2026 Conference Proceedings.
- M. A. N. Khan, Z. Wang. (2025) Simulation-enabled evaluation of operational strategies at Shield Illinois depot for efficient disease testing. IISE 2025 Conference Proceedings, 926–928.
- H. Yu, Z. Wang, S.-J. Chen. (2025) Balancing revenue and deviation of demand fulfilment in duck meat processing by MIP, heuristic and hybrid models. IISE 2025 Conference Proceedings, 668–673.
- Z. Wang, U. Islam. (2022) Vehicle routing under dynamic network conditions: A Bayesian approach. IISE 2022 Conference Proceedings. PDF Abstract IISE 2022 Logistics and Supply Chain best track paper award
- D. Srinivasan Sampathi, Z. Wang, P. Damodaran. (2022) A mixed-integer linear programming method for a two-dimensional material slitting problem. IISE 2022 Conference Proceedings. PDF Abstract
- M. Vaidya, Z. Wang, C. Nguyen, P. Damodaran, A. Soundararajan. (2022) Distribution operations improvement in the post-pandemic new normal: A case study. IISE 2022 Conference Proceedings. PDF Abstract
Working papers
- Q. Zhang, Z. Wang, M. Huang, H. Wang, X. Wang, S.-C. Fang. Collaborative Supply Chain Network Design Problem. Working paper. Request manuscript
- L. Zhang, M. Huang, Z. Wang, H. Xu, S.-C. Fang. Robust Service Network Design: A Fourth-Party Logistics Perspective. Under review. Request manuscript
- Y. Im, S. Kim, Z. Wang, J. Hwang. Multi-Class Machine Learning Framework for Autism Severity Classification Across Developmental Stages. Under review. Request manuscript