Journal Articles

  1. Sexton, T., & Ren, Y. (2017). Learning an Optimization Algorithm through Human Design Iterations. ASME Journal of Mechanical Design, 139. | arXiv | web
  2. Ren, Y., & Scott, C. (2017). Adaptive Questionnaires for Direct Identification of Optimal Product Design. | arXiv
  3. Cang, R., Xu, Y., Chen, S., Liu, Y., Jiao, Y., & Ren, Y. (2017). Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design. ASME Journal of Mechanical Design, 139(7), 071404. | arXiv | web
  4. Kang, N., Ren, Y., Feinberg, F., & Papalambros, P. (2016). Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation. Marketing Science. (under review) | web
  5. Ren, Y., Bayrak, A., & Papalambros, P. Y. (2016). Ecoracer: Optimal Design and Control of Electric Vehicles Using Human Game Players. Journal of Mechanical Design, 138(6), 061407. | pdf | web
  6. Kang, N., Ren, Y., Feinberg, F. M., & Papalambros, P. (2016). Public Investment and Electric Vehicle Design: a Model-Based Market Analysis Framework with Application to a USA-China Comparison Study. Design Science, 2, e6. | pdf
  7. Bayrak, A., Ren, Y., & Papalambros, P. (2016). Topology Generation for Hybrid Electric Vehicle Architecture Design. Journal of Mechanical Design, 138(8), 081401. | pdf
  8. Burnap, A., Pan, Y., Liu, Y., Ren, Y., Lee, H., Gonzalez, R., & Papalambros, P. (2016). Improving Design Preference Prediction Accuracy using Feature Learning. Journal of Mechanical Design, 138(7), 071404. | pdf
  9. Burnap, A., Ren, Y., Gerth, R., Papazoglou, G., Gonzalez, R., & Papalambros, P. (2015). When Crowdsourcing Fails: A Study of Expertise on Crowdsourced Design Evaluation. Journal of Mechanical Design, 137(3), 031101. | pdf
  10. Ren, Y., & Papalambros, P. (2011). A Design Preference Elicitation Query as an Optimization Process. Journal of Mechanical Design, 133(11), 111004. | pdf

conference

  1. Zhang, C., Tang, P., Liao, P.-chao, & Ren, Y. (2017). Imagery-Based Risk Assessment Using Crowdsourcing Technology in Complex Construction Sites. In ASCE International Workshop on Computing in Civil Engineering (IWCCE2017). American Society of Civil Engineers. | pdf | best paper award (2nd place)
  2. Cahill, N., Ren, Y., & Sugar, T. (2017). Mechanical Specialization of Robotic Limbs. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).
  3. Cang, R., Vipradas, A., & Ren, Y. (2017). Scalable Microstructure Reconstruction with Multi-scale Pattern Preservation. In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers. | pdf
  4. Yao, H., & Ren, Y. (2016). Impressionist: A 3D Peekaboo Game for Crowdsourcing Shape Saliency. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers. | pdf
  5. Cang, R., & Ren, Y. (2016). Deep Network-based Feature Extraction and Reconstruction of Complex Material Microstructures. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers. | pdf
  6. Sexton, T., & Ren, Y. (2016). Learning Human Search Strategies from a Crowdsourcing Game. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers. | pdf
  7. Burnap, A., Barto, C., Johnson-Roberson, M., Ren, Y., Gonzalez, R., & Papalambros, P. (2015). Crowdsourcing for Search of Disaster Victims: A Preliminary Study for Search System Design. In Proceedings of the 20th International Conference on Engineering Design (ICED 15). | pdf
  8. Ren, Y., Bayrak, A., & Papalambros, P. (2015). ecoRacer: Game-Based Optimal Electric Vehicle Design and Driver Control Using Human Players. In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V02AT03A009-V02AT03A009). American Society of Mechanical Engineers. | pdf | data | erratum | best paper award in design automation
  9. Kang, N., Emmanoulopoulos, M., Ren, Y., Feinberg, F., & Papalambros, P. (2015). A Framework for Quantitative Analysis of Government Policy Influence on Electric Vehicle Market. In Proceedings of the 20th International Conference on Engineering Design (ICED 15) (Vol. 5). | pdf
  10. Burnap, A., Ren, Y., Lee, H., Gonzalez, R., & Papalambros, P. (2014). Improving Preference Prediction Accuracy With Feature Learning. In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V02AT03A012-V02AT03A012). American Society of Mechanical Engineers. | pdf
  11. Bayrak, A., Ren, Y., & Papalambros, P. (2014). Optimal Dual-Mode Hybrid Electric Vehicle Powertrain Architecture Design for a Variety of Loading Scenarios. In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V003T01A005-V003T01A005). American Society of Mechanical Engineers. | pdf
  12. Ren, Y., & Papalambros, P. (2014). Enhanced Adaptive Choice-Based Conjoint Analysis Incorporating Engineering Knowledge. In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V02AT03A033-V02AT03A033). American Society of Mechanical Engineers. | pdf
  13. Ren, Y., Burnap, A., & Papalambros, P. (2013). Quantification of Perceptual Design Attributes Using a Crowd. In Proceedings of the 19th International Conference on Engineering Design (ICED13) (Vol. 6). | pdf
  14. Bayrak, A., Ren, Y., & Papalambros, P. (2013). Design of Hybrid-Electric Vehicle Architectures Using Auto-Generation of Feasible Driving Modes. In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V001T01A005-V001T01A005). American Society of Mechanical Engineers. | pdf
  15. Ren, Y., Scott, C., & Papalambros, P. (2013). A Scalable Preference Elicitation Algorithm Using Group Generalized Binary Search. In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V03BT03A005-V03BT03A005). American Society of Mechanical Engineers. | pdf
  16. Burnap, A., Ren, Y., Papalambros, P., Gonzalez, R., & Gerth, R. (2013). A Simulation Based Estimation of Crowd Ability and Its Influence on Crowdsourced Evaluation of Design Concepts. In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V03BT03A004-V03BT03A004). American Society of Mechanical Engineers. | pdf
  17. Ren, Y., & Papalambros, P. (2012). On Design Preference Elicitation with Crowd Implicit Feedback. In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers. | pdf
  18. Ren, Y., & Papalambros, P. (2012). On the Use of Active Learning in Engineering Design. In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. 89-98). American Society of Mechanical Engineers. | pdf
  19. Ren, Y., & Papalambros, P. (2011). Design Preference Elicitation Using Efficient Global Optimization. In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers. | pdf
  20. Ren, Y., & Papalambros, P. (2011). Design Preference Elicitation: Exploration and Learning. In Proceedings of the 18th International Conference on Engineering Design (ICED11) (Vol. 10, pp. 149-158). | pdf
  21. Ren, Y., & Papalambros, P. (2010). Design Preference Elicitation, Derivative-Free Optimization and Support Vector Machine Search. In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers. | pdf