Academic Profile : Faculty
Asst Prof Binyang Song
Assistant Professor, School of Mechanical & Aerospace Engineering
Email
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
1. Sandor Molnar, Joseph Godfrey, Binyang Song. Balance Equations for Physics-Informed Machine Learning. Heliyon. (Accepted)
2. Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Arechiga, Faez Ahmed. Data-driven Car Drag Coefficient Prediction with Depth and Normal Renderings. Journal of Mechanical Design.
3. Kristen Edwards, Binyang Song (Co-first), Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed. ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development. Journal of Mechanical Design.
4. Binyang Song, Rui Zhou, Faez Ahmed. Multi-modal Learning in Engineering Design: a Review and Future Directions. Journal of Computing and Information Science in Engineering, 2023.
5. Binyang Song, Scarlett Miller, Faez Ahmed. AEML: Attention-Enhanced Multimodal Learning for Conceptual Design Evaluation. Journal of Mechanical Design. Journal of Mechanical Design, 145(4) (2023): 0414105.
6. Binyang Song, Joshua Gyory, Guanglu Zhang, Gary Stump, Nicolas Soria Zurita, Corey Balon, Simon Miller, Michael Yukish, Jonathan Cagan^, Christopher McComb^. Decoding the Agility of Human-Artificial Intelligence Hybrid Teams on Complex Problem Solving. Design Studies, 79(3) (2022).
7. Shuo Jiang, Serhad Sarica, Binyang Song, Jie Hu, Jianxi Luo. Patent Data for Engineering Design: A Critical Review and Future Directions. Journal of Computing and Information Science in Engineering. 22(6) (2022).
8. Binyang Song, Nicolas Soria Zurita, Hannah Nolte*, Harshika Singh, Jonathan Cagan, Christopher McComb. When Faced with Increasing Complexity: The Effectiveness of AI Assistance for Drone Design. Journal of Mechanical Design, 144(2) (2021): 021701.
9. Serhad Sarica, Binyang Song, Jianxi Luo, Kristin Wood. Idea Generation with Technology Semantic Network. Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM), 35(3) (2021): pp265-283.
10. Guanglu Zhang, Nicolas Soria Zurita, Gary Stump, Binyang Song, Jonathan Cagan, and Christopher McComb^, 2021. Data on the design and operation of drones by both individuals and teams. Data in Brief, 36, p.107008.
11. Binyang Song, Bowen Yan, Giorgio Triulzi, Jeffrey Alstott, Jianxi Luo. Overlay Technology Space Map for Analyzing Design Knowledge Base of a Technology Domain: The Case of Hybrid Electric Vehicles. Research in Engineering Design, 30 (2019), pp405-423.
12. Binyang Song, Jianxi Luo, Kristin Wood. Data-Driven Function Network Analysis for Product Platform Planning: a Case Study of Spherical Rolling Robots. Journal of Mechanical Design, 141(2) (2019): 021101.
2. Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Arechiga, Faez Ahmed. Data-driven Car Drag Coefficient Prediction with Depth and Normal Renderings. Journal of Mechanical Design.
3. Kristen Edwards, Binyang Song (Co-first), Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed. ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development. Journal of Mechanical Design.
4. Binyang Song, Rui Zhou, Faez Ahmed. Multi-modal Learning in Engineering Design: a Review and Future Directions. Journal of Computing and Information Science in Engineering, 2023.
5. Binyang Song, Scarlett Miller, Faez Ahmed. AEML: Attention-Enhanced Multimodal Learning for Conceptual Design Evaluation. Journal of Mechanical Design. Journal of Mechanical Design, 145(4) (2023): 0414105.
6. Binyang Song, Joshua Gyory, Guanglu Zhang, Gary Stump, Nicolas Soria Zurita, Corey Balon, Simon Miller, Michael Yukish, Jonathan Cagan^, Christopher McComb^. Decoding the Agility of Human-Artificial Intelligence Hybrid Teams on Complex Problem Solving. Design Studies, 79(3) (2022).
7. Shuo Jiang, Serhad Sarica, Binyang Song, Jie Hu, Jianxi Luo. Patent Data for Engineering Design: A Critical Review and Future Directions. Journal of Computing and Information Science in Engineering. 22(6) (2022).
8. Binyang Song, Nicolas Soria Zurita, Hannah Nolte*, Harshika Singh, Jonathan Cagan, Christopher McComb. When Faced with Increasing Complexity: The Effectiveness of AI Assistance for Drone Design. Journal of Mechanical Design, 144(2) (2021): 021701.
9. Serhad Sarica, Binyang Song, Jianxi Luo, Kristin Wood. Idea Generation with Technology Semantic Network. Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM), 35(3) (2021): pp265-283.
10. Guanglu Zhang, Nicolas Soria Zurita, Gary Stump, Binyang Song, Jonathan Cagan, and Christopher McComb^, 2021. Data on the design and operation of drones by both individuals and teams. Data in Brief, 36, p.107008.
11. Binyang Song, Bowen Yan, Giorgio Triulzi, Jeffrey Alstott, Jianxi Luo. Overlay Technology Space Map for Analyzing Design Knowledge Base of a Technology Domain: The Case of Hybrid Electric Vehicles. Research in Engineering Design, 30 (2019), pp405-423.
12. Binyang Song, Jianxi Luo, Kristin Wood. Data-Driven Function Network Analysis for Product Platform Planning: a Case Study of Spherical Rolling Robots. Journal of Mechanical Design, 141(2) (2019): 021101.
Conference Papers
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
1. Binyang Song. A Review of Traditional and AI-Driven Design for Additive Manufacturing. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2024.
2. Premith Kumar Chilukuri, Binyang Song, Sungku Kang, Ran Jin. Generating Optimized 3D Designs for Manufacturing Using a Guided Voxel Diffusion Model. International Manufacturing Science and Engineering Conference (MSEC2024), 2024.
3. Binyang Song, Qihao Zhu, Jianxi Luo. Human-AI Collaborative Innovation in Design. 18th International Design Conference, 2024. (Accepted)
4. Binyang Song, Premith Kumar Chilukuri, Sungku Kang, Ran Jin. Generative Design for Manufacturing: Integrating Generation with Optimization Using a Guided Voxel Diffusion Model. AI4Design workshop, AAAI 2024. (Accepted)
5. Nikos Arechiga, Frank Permenter, Chenyang Yuan, Binyang Song. Drag-guided Diffusion Models for Vehicle Image Generation. Generative Design Workshop, NeurIPS, 2023.
6. Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Arechiga, Faez Ahmed. Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2023.
7. Hanqi Su, Binyang Song, Faez Ahmed. Multi-modal Machine Learning for Vehicle Rating Predictions using Image, Text, and Tabular Data. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2023.
8. Kristen Edwards, Binyang Song (Co-first), Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed. ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2023.
9. Binyang Song, Scarlett Miller, Faez Ahmed. Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metric Prediction for Sketches with Text Description. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2022, August 14-17, 2022, St. Louis, Missouri, USA.
10. Binyang Song, Christopher McComb, Faez Ahmed. Assessing Machine Learnability of Image and Graph Representations for Drone Performance Prediction. 17th International Design Conference, May 22-26, 2022, virtual conference.
11. Shuo Jiang, Serhad Sarica, Binyang Song, Jie Hu, Jianxi Luo. Patent Data for Engineering Design: A Review. 17th International Design Conference, May 22-26, 2022, virtual conference.
12. Binyang Song, Nicolas Soria Zurita, Hannah Nolte, Harshika Singh, Jonathan Cagan, Christopher McComb. Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance during the Design Process. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), August 17-19, 2021, virtual conference.
13. Joshua Gyory, Binyang Song, Jonathan Cagan, Christopher McComb. The Effects of Artificial Intelligence Agents on Team Communication During Solving an Interdisciplinary Drone Design Problem. International Conference on Engineering Design, August 16-20, 2021, virtual conference.
14. Binyang Song, Nicolas Soria Zurita, Guanglu Zhang, Gary Stump, Corey Balon, Simon Miller, Michael Yukish, Jonathan Cagan, Christopher McComb. Toward Hybrid Teams: A Platform to Understand Human-Computer Collaboration During the Design of Complex Engineered Systems. 16th International Design Conference, October 26-29, 2020, virtual conference.
15. Binyang Song, Emmett Meinzer, Akash Agrawal, and Christopher McComb. Topic Modeling and Sentiment Analysis of Social Media Data to Drive Experiential Redesign. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), August 17-19, 2020, virtual conference.
16. Serhad Sarica, Binyang Song, Jianxi Luo, Kristin Wood. Technology Knowledge Graph for Design Exploration: Application to Designing the Future of Flying Cars. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), August 18-21, 2019, Anaheim, California, USA.
17. Serhad Sarica, Binyang Song, En Low, & Jianxi Luo. Engineering Knowledge Graph for Keyword Discovery in Patent Search. Proceedings of the Design Society: International Conference on Engineering Design, 1(1) (2019), pp2249-2258.
18. Binyang Song, Jianxi Luo, Mohan Rajesh Elara, Kristin Wood. Data-Driven Function Network Analysis for Product Platform Planning: A Case Study of Spherical Rolling Robots. International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), August 26-29, 2018, Quebec City, Quebec, Canada.
2. Premith Kumar Chilukuri, Binyang Song, Sungku Kang, Ran Jin. Generating Optimized 3D Designs for Manufacturing Using a Guided Voxel Diffusion Model. International Manufacturing Science and Engineering Conference (MSEC2024), 2024.
3. Binyang Song, Qihao Zhu, Jianxi Luo. Human-AI Collaborative Innovation in Design. 18th International Design Conference, 2024. (Accepted)
4. Binyang Song, Premith Kumar Chilukuri, Sungku Kang, Ran Jin. Generative Design for Manufacturing: Integrating Generation with Optimization Using a Guided Voxel Diffusion Model. AI4Design workshop, AAAI 2024. (Accepted)
5. Nikos Arechiga, Frank Permenter, Chenyang Yuan, Binyang Song. Drag-guided Diffusion Models for Vehicle Image Generation. Generative Design Workshop, NeurIPS, 2023.
6. Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Arechiga, Faez Ahmed. Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2023.
7. Hanqi Su, Binyang Song, Faez Ahmed. Multi-modal Machine Learning for Vehicle Rating Predictions using Image, Text, and Tabular Data. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2023.
8. Kristen Edwards, Binyang Song (Co-first), Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed. ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2023.
9. Binyang Song, Scarlett Miller, Faez Ahmed. Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metric Prediction for Sketches with Text Description. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2022, August 14-17, 2022, St. Louis, Missouri, USA.
10. Binyang Song, Christopher McComb, Faez Ahmed. Assessing Machine Learnability of Image and Graph Representations for Drone Performance Prediction. 17th International Design Conference, May 22-26, 2022, virtual conference.
11. Shuo Jiang, Serhad Sarica, Binyang Song, Jie Hu, Jianxi Luo. Patent Data for Engineering Design: A Review. 17th International Design Conference, May 22-26, 2022, virtual conference.
12. Binyang Song, Nicolas Soria Zurita, Hannah Nolte, Harshika Singh, Jonathan Cagan, Christopher McComb. Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance during the Design Process. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), August 17-19, 2021, virtual conference.
13. Joshua Gyory, Binyang Song, Jonathan Cagan, Christopher McComb. The Effects of Artificial Intelligence Agents on Team Communication During Solving an Interdisciplinary Drone Design Problem. International Conference on Engineering Design, August 16-20, 2021, virtual conference.
14. Binyang Song, Nicolas Soria Zurita, Guanglu Zhang, Gary Stump, Corey Balon, Simon Miller, Michael Yukish, Jonathan Cagan, Christopher McComb. Toward Hybrid Teams: A Platform to Understand Human-Computer Collaboration During the Design of Complex Engineered Systems. 16th International Design Conference, October 26-29, 2020, virtual conference.
15. Binyang Song, Emmett Meinzer, Akash Agrawal, and Christopher McComb. Topic Modeling and Sentiment Analysis of Social Media Data to Drive Experiential Redesign. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), August 17-19, 2020, virtual conference.
16. Serhad Sarica, Binyang Song, Jianxi Luo, Kristin Wood. Technology Knowledge Graph for Design Exploration: Application to Designing the Future of Flying Cars. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), August 18-21, 2019, Anaheim, California, USA.
17. Serhad Sarica, Binyang Song, En Low, & Jianxi Luo. Engineering Knowledge Graph for Keyword Discovery in Patent Search. Proceedings of the Design Society: International Conference on Engineering Design, 1(1) (2019), pp2249-2258.
18. Binyang Song, Jianxi Luo, Mohan Rajesh Elara, Kristin Wood. Data-Driven Function Network Analysis for Product Platform Planning: A Case Study of Spherical Rolling Robots. International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), August 26-29, 2018, Quebec City, Quebec, Canada.
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