Selected papers (Google Scholar):
Cho, Y., Kim, C., Yang, Y., Ren, Y.*, "Attributable-Watermarking of Speech Generative Models", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 | link
Cheng, S., Jiao, Y., and Ren, Y.*, "Data-Driven Learning of 3-Point Correlation Functions as Microstructure Representations", Acta Materialia, 117800, 2022 | link
Prasanth, B.*, Zhang, T., Yang, Y., and Ren, Y., "Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns", IEEE International Conference on Robotics and Automation (ICRA), 2022 | link
Chen, Y., Zhang, L., Merry, T., Amatya, S., Zhang, W., Ren, Y.*, "When Shall I Be Empathetic? The Utility of Empathetic Parameter Estimation in Multi-Agent Interactions", IEEE International Conference on Robotics and Automation (ICRA), 2021 | link
Kim, C.+, Ren, Y.+, Yang, Y.*, "Decentralized Attribution of Generative Models", International Conference on Learning Representations (ICLR), 2021 | link
Kang, N.*+, Ren, Y.+, Feinberg, F., and Papalambros, P. Y., "Form + Function - Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation", arxiv, 2019 | link
Cang, R., Yao, H., Ren, Y.*, "One-shot Generation of Near-optimal Topology through Theory-driven Machine Learning", Computer-Aided Design, 109, 12-21, 2019 | link
Chen, P., Xu, W., Chawla, N., Ren, Y., and Jiao, Y.*, "Hierarchical n-point Polytope Functions for Quantitative Representation of Complex Heterogeneous Materials and Microstructural Evolution", Acta Materialia, 179, 317-327, 2019
Ren, Y.*, Elliott, S., Wang, Y., Yang, Y., Zhang, W., "How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving", IEEE International Conference on Robotics and Automation (ICRA), 2019 | link
Cang, R., Li, H., Yao, H., Jiao, Y., Ren, Y.*, "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, 2018 | link
Cang, R., Xu, Y., Chen, S., Liu, Y., Jiao, Y., and Ren, Y.*, "Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design", ASME Journal of Mechanical Design, 139(7), 2017 | link
Sexton, T., and Ren, Y.*, "Learning an Optimization Algorithm through Human Design Iterations", ASME Journal of Mechanical Design, 139(10), 2017 | link
Burnap, A.*, Pan, Y., Liu, Y., Ren, Y., Lee, H., Gonzalez, R., and Papalambros, P. Y., "Improving Design Preference Prediction Accuracy using Feature Learning", ASME Journal of Mechanical Design, 138(7), 2016
Ren, Y.*, Bayrak, A., and Papalambros, P. Y., "Ecoracer - Optimal Design and Control of Electric Vehicles Using Human Game Players", ASME Journal of Mechanical Design, 138(6), 2016 (Best paper award at the 2015 ASME International Design and Engineering Conferences)
Burnap, A.*, Ren, Y., Papalambros, P. Y., Gonzalez, R. and Gerth, R., "When Crowdsourcing Fails - A Study of Expertise on Crowdsourced Design Evaluation", ASME Journal of Mechanical Design, 137(3), 2015