Journal Articles

  1. Wang, Y., Ren, Y., Elliott, S., & Zhang, W. (2019). Enabling Courteous Vehicle Interactions through Game-based and Dynamics-aware Intent Inference. IEEE Transactions on Intelligent Vehicles. (accepted) | web
  2. Cang, R., Yao, H., & Ren, Y. (2019). One-shot generation of near-optimal topology through theory-driven machine learning. Computer-Aided Design, 109, 12-21. | arXiv | web
  3. Cang, R., Li, H., Yao, H., Jiao, Y., & Ren, Y. (2018). Improving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model. Computational Materials Science, 150, 212-221. | arXiv
  4. Cahill, N. M., Sugar, T., Ren, Y., & Schroeder, K. (2018). Optimal Stiffness Design for an Exhaustive Parallel Compliance Matrix in Multiactuator Robotic Limbs. Journal of Mechanisms and Robotics. | web
  5. 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
  6. Ren, Y., & Scott, C. (2017). Adaptive Questionnaires for Direct Identification of Optimal Product Design. | arXiv
  7. Sexton, T., & Ren, Y. (2017). Learning an Optimization Algorithm through Human Design Iterations. ASME Journal of Mechanical Design, 139(10), 101404. | arXiv | web
  8. 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
  9. 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
  10. 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
  11. 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
  12. Bayrak, A., Ren, Y., & Papalambros, P. (2016). Topology Generation for Hybrid Electric Vehicle Architecture Design. Journal of Mechanical Design, 138(8), 081401. | pdf
  13. 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
  14. Ren, Y., & Papalambros, P. (2011). A Design Preference Elicitation Query as an Optimization Process. Journal of Mechanical Design, 133(11), 111004. | pdf

conference

  1. Yao, H., Ren, Y., & Liu, Y. (2019). FEA-Net: A Deep Convolutional Neural Network With PhysicsPrior For Efficient Data Driven PDE Learning. In 2019 American Institution of Aeronautics and Astronautics Scitech Forum. AIAA.
  2. Yao, H., Reagan, M., Yang, Y., & Ren, Y. (2019). Image Decomposition and Classification through a Generative Model. In 2019 IEEE International Conference on Image Processing (IEEE). IEEE. (accepted) | arXiv
  3. Yao, H., Wen, J., Ren, Y., Wu, B., & Ji, Z. (2019). Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. | arXiv
  4. Ren, Y., Elliott, S., Wang, Y., Yang, Y., & Zhang, W. (2019). How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving. In 2019 International Conference on Robotics and Automation. IEEE. | arXiv | web
  5. Guo, T., Lohan, D. J., Cang, R., Ren, M. Y., & Allison, J. T. (2018). An Indirect Design Representation for Topology Optimization Using Variational Autoencoder and Style Transfer. In 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum. http://doi.org/10.2514/6.2018-0804 | pdf
  6. Zhang, W., Yang, Y., & Ren, Y. (2017). Towards Understanding Human Decisions in Human-robot Interactions. In ASME Dynamic Systems and Control Conference. American Society of Mechanical Engineers.
  7. Ren, Y., Houpu, Y., & Xinfan, L. (2017). Topology Optimization of Structural Systems Considering both Compliance and Input Observability. In ASME Dynamic Systems and Control Conference. American Society of Mechanical Engineers. | pdf
  8. 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
  9. Cahill, N., Ren, Y., & Sugar, T. (2017). Mechanical Specialization of Robotic Limbs. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).
  10. 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)
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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