Publication

Refereed Journal Papers

Shen, M., Feng, B., Cheng, A., and Bi, Y. (2025). Customer Segmentation and Need Analysis Based on Sentiment Network of Online Reviewers and Graph Embedding. Journal of Mechanical Design, 147(4): 041706. https://doi.org/10.1115/1.4067226

Feng, B., Li, B., Jiang, X., Zhou, Q., and Bi, Y. (2024). BRMPNet: bidirectional recurrent motion planning networks for generic robotic platforms in smart manufacturing. Advances in Manufacturing. https://doi.org/10.1007/s40436-024-00529-6

Shen, M., Cheng, A., and Bi, Y. (2024). An integrated framework for importance-performance analysis of product attributes and validation from online reviews and maintenance records. Design Science, 10, e19. doi:10.1017/dsj.2024.15

Feng, B., Juan, X., Gao, X., Zhou, Q., and Bi, Y. (2024). A robotic manipulation framework for industrial human–robot collaboration based on continual knowledge graph embedding. The International Journal of Advanced Manufacturing Technology. 134: 5431–5447.  https://doi.org/10.1007/s00170-024-14468-w

Feng, B., Jiang, X., Li, B., Zhou, Q., and Bi, Y. (2024). An adaptive multi-RRT approach for robot motion planning. Expert Systems with Applications, Volume 252, Part B, 124281. https://doi.org/10.1016/j.eswa.2024.124281.

Feng, B., Bi, Y., Li, M., and Lin, L. (2024). A Decentralized Multi-Agent Path Planning Approach Based on Imitation Learning and Selective Communication. Journal of Computing and Information Science in Engineering, 24(8): 084501.https://doi.org/10.1115/1.4065167

Liu, S., Feng, B., Bi, Y., Yu, D. (2024) An Integrated Approach to Precedence-Constrained Multi-Agent Task Assignment and Path Finding for Mobile Robots in Smart Manufacturing. Appl. Sci. 2024, 14, 3094.  https://doi.org/10.3390/app14073094

Xu, J., Bi, Y., (2024). An Agent-Based Modeling Approach for The Diffusion Analysis of Electric Vehicles with Two-Stage Purchase Choice Modeling. Journal of Computing and Information Science in Engineering, 24(6): 064502. https://doi.org/10.1115/1.4064623

Chen, Y., Bi, Y., Xie, J., Sha, Z., Wang, M., Fu, Y., and Chen, W. (2024). Modeling Spatiotemporal Heterogeneity of Customer Preferences With Small-Scale Aggregated Data: A Spatial Panel Modeling Approach. Journal of Computing and Information Science in Engineering, 24(8): 084503. https://doi.org/10.1115/1.4065211

Cheng, A., Bi, Y. (2024). An Integrated Data-driven Framework for Vehicle Quality Analysis based on Massive Vehicle Maintenance Records and Bayesian Network. International Journal of Quality & Reliability Management. https://doi.org/10.1108/IJQRM-03-2023-0114

Bi, Y., Qiu, Y., Sha, Z. et al. Modeling Multi-Year Customers’ Considerations and Choices in China’s Auto Market Using Two-Stage Bipartite Network Analysis. Netw Spat Econ (2021). https://doi.org/10.1007/s11067-021-09526-9.

Xie, J., Bi, Y., Sha, Z., Wang, M., Fu, Y., Contractor, N., Gong, L., & Chen, W. (2020). Data-Driven Dynamic Network Modeling for Analyzing the Evolution of Product Competitions. Journal of Mechanical Design, 142(3): 031112.

Bi. Y., Li, S., Wagner, D., and Reid, T. (2017), The Impact of Vehicle Silhouettes on Perceptions of Car Environmental Friendliness and Safety in 2009 and 2016: A Comparative Study, Design Science, 3, E23. doi:10.1017/dsj.2017.22

Bi, Y., Reid, T., and Davies, P. (2017), An Exploratory Study on Proposed New Sounds for Future Products, Noise Control Engineering Journal, 65(3), pp. 244-260.

Bi, Y. and Reid, T., (2017), Evaluating Students’ Understanding of Statics Concepts Using Eye Gaze Data, International Journal of Engineering Education, Vol. 33, No. 1(A), pp. 225-237.

 

Refereed Conference Papers

Bohan Feng, Youyi Bi, Mian Li, Liyong Lin. (2023). A Decentralized Multi-Agent Path Planning Approach Based on Imitation Learning and Global Static Feature Extraction. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113113.

Bohan Feng, Xinting Jiang, Youyi Bi. (2023). A Robot Motion Planning Approach Based on Adaptive Multi-Tree Sampling. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113127.

Qi Zhou, Sikai Li, Jingbo Qu, Jin Wu, Haomiao Xu, Youyi Bi. (2023). An Adaptive Path Planning Approach for Digital Twin-Enabled Robot Arm Based on Inverse Kinematics and Deep Reinforcement Learning. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113131.

Jiangshan Liu, Youyi Bi. (2023). System Parameter Design for Community Microgrid Energy System Based on A Bi-Level Optimization Model. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113149.

Jiawen Xu, Youyi Bi. (2023). An Agent-Based Modeling Approach for the Diffusion Analysis of Electric Vehicles With Two-Stage Purchase Choice Modeling. ASME 2023 International Mechanical Engineering Congress and Exposition (IMECE2023), October 29 – November 2, 2023, New Orleans, LA, USA. https://doi.org/10.1115/IMECE2023-113154

Liu, S., Feng, B., Yu, D. & Bi, Y. (2022) An Integrated Task and Path Planning Approach For Mobile Robots in Smart Factory. ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), October 30-November 3, 2022, Columbus, Ohio. https://doi.org/10.1115/IMECE2022-95364.

Cheng, A., Shen, M. & Bi, Y. (2022) Approach for  KANO-IPA Analysis for Product Attributes from Online Reviews and Product Maintenance Records. ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), October 30-November 3, 2022, Columbus, Ohio. https://doi.org/10.1115/IMECE2022-95362.

Xie, J., Bi, Y., Sha, Z., Wang, M., Fu, Y., and Chen, W. Modeling the Evolution of Product Competitions: A Dynamic Network Analysis Approach, ASME 2019 International Design Engineering Technical Conference, August 18-21, Anaheim, CA, USA.

Sha, Z., Bi, Y., Wang, M., Stathopoulos, A., Contractor, N., Fu, Y., and Chen, W. (2019), Comparing Utility-Based and Network-Based Approaches in Estimating Customer Preferences for Engineering Design, ICED19 The 21st International Conference on Engineering Design, August 5 – 8, 2019, Delft, The Netherlands.

Young, M., Miller, C., Bi, Y., Chen, W., and Argall, B.D. (2019) Formalized Task Characterization for Human-Robot Autonomy Allocation, 2019 IEEE International Conference on Robotics and Automation (ICRA), May 20-24, 2019, Montreal, Canada.

Bi, Y., Xie, J., Sha, Z., Wang, M., Fu, Y., and Chen, W. Modeling Spatiotemporal Heterogeneity of Customer Preferences in Engineering Design, ASME 2018 International Design Engineering Technical Conference, August 26-29, Quebec City, Canada.

Seshadri, P., Bi, Y., Bhatia, J., Simons, R., Hartley, J., and Reid, T. (2016), Evaluations That Matter: Customer Preferences Using Industry-Based Evaluations and Eye-Gaze Data, ASME 2016 International Design Engineering Technical Conference, August 22-24, Charlotte, NC, USA.

Bi, Y., Reid, T., and Davies, P. (2016), Characterization of Next-generation Car Sounds, 2016 Internoise Conference, August 21-24, Hamburg, Germany.

Bi., Y., Shergadwala, M., Reid, T., and Panchal, J. (2015), Understanding the Utilization of Information Stimuli in Design Decision Making Using Eye Gaze Data, ASME 2015 International Design Engineering Technical Conference, August 2-5, Boston, MA, USA.

Bi, Y. and Reid, T. (2014), Understanding Students’ Process for Solving Engineering Problems Using Eye Gaze Data, 2014 ASEE Annual Conference, June 15-18, Indianapolis, IN, USA.

Bi, Y., Dominguez, C., and Hassan, H. (2011), A General Design Pattern for Programs of Scene Graph and its Application in a Simulation Instance, 2011 Int’l Conference on Computer Graphics and Virtual Reality, July 17-22, Las Vegas, NV, USA.