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2020 – today
- 2024
[j7]Connor Phillips
, Junfeng Jiao, Emmalee Clubb:
Testing the Capability of AI Art Tools for Urban Design. IEEE Computer Graphics and Applications 44(2): 37-45 (2024)- [j6]Marcus Sammer, Kijin Seong, Norma Olvera, Susie Gronseth, Elizabeth Anderson-Fletcher, Junfeng Jiao, Alison Reese, Ioannis A. Kakadiaris:
AI-FEED: Prototyping an AI-Powered Platform for the Food Charity Ecosystem. Int. J. Comput. Intell. Syst. 17(1): 259 (2024) - [j5]Ryan Hardesty Lewis, Junfeng Jiao, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi:
Fire and smoke digital twin - A computational framework for modeling fire incident outcomes. Comput. Environ. Urban Syst. 110: 102093 (2024) - [c4]Hyunjin Ahn, Huihai Wang, Ji Hwan Park, Xingyu Zhou, Junfeng Jiao, Junmin Wang:
Operational Cost Optimization of Delivery Fleets Consisting of Mobile Robots and Electric Trucks. IV 2024: 2930-2935 - [i7]Junfeng Jiao, Saleh Afroogh, Yiming Xu, Connor Phillips:
Navigating LLM Ethics: Advancements, Challenges, and Future Directions. CoRR abs/2406.18841 (2024) - [i6]Junfeng Jiao, Saleh Afroogh, Kevin Chen, David Atkinson, Amit Dhurandhar:
The global landscape of academic guidelines for generative AI and Large Language Models. CoRR abs/2406.18842 (2024) - 2023
- [j4]Junfeng Jiao, Yefu Chen:
Is the relationship between bus and light rail transit a competition substitution or a congestion substitution? An empirical study in Seattle. Public Transp. 15(2): 575-594 (2023) - [c3]Elliott Hauser, Yao-Cheng Chan, Parth Chonkar, Geethika Hemkumar, Huihai Wang, Daksh Dua, Shikhar Gupta, Efren Mendoza Enriquez, Tiffany Kao, Justin W. Hart, Reuth Mirsky, Joydeep Biswas, Junfeng Jiao, Peter Stone:
"What's That Robot Doing Here?": Perceptions Of Incidental Encounters With Autonomous Quadruped Robots. TAS 2023: 12:1-12:15 - [i5]Kyle Morgenstein, Junfeng Jiao, Luis Sentis:
Learning Contact-based Navigation in Crowds. CoRR abs/2303.01455 (2023) - [i4]Ryan Hardesty Lewis, Junfeng Jiao:
ComputeGPT: A computational chat model for numerical problems. CoRR abs/2305.06223 (2023) - [i3]Junfeng Jiao, Ryan Hardesty Lewis, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi:
Fire and Smoke Digital Twin - A computational framework for modeling fire incident outcomes. CoRR abs/2305.18313 (2023) - 2022
- [c2]Justin W. Hart, Elliott Hauser, Samuel Baker, Joydeep Biswas, Junfeng Jiao, Luis Sentis:
Longitudinal Social Impacts of HRI over Long-Term Deployments. HRI 2022: 1258-1260 - [i2]Manmeet Singh, Nachiketa Acharya, Sajad Jamshidi, Junfeng Jiao, Zong-Liang Yang, Marc Coudert, Zach Baumer, Dev Niyogi:
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA. CoRR abs/2209.06848 (2022) - 2021
- [j3]Chen Feng, Junfeng Jiao:
Predicting and mapping neighborhood-scale health outcomes: A machine learning approach. Comput. Environ. Urban Syst. 85: 101562 (2021) - [c1]Junfeng Jiao, Seung-Jun Choi, Weijia Xu:
Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning. IEEE BigData 2021: 5175-5184 - 2020
- [j2]Junfeng Jiao, Mingming Cai:
Using Open Source Data to Identify Transit Deserts in Four Major Chinese Cities. ISPRS Int. J. Geo Inf. 9(2): 100 (2020) - [j1]Junfeng Jiao, Shunhua Bai:
Understanding the Shared E-scooter Travels in Austin, TX. ISPRS Int. J. Geo Inf. 9(2): 135 (2020) - [i1]Geoff Boeing, Jake Wegmann, Junfeng Jiao:
Rental Housing Spot Markets: How Online Information Exchanges Can Supplement Transacted-Rents Data. CoRR abs/2002.01578 (2020)
Coauthor Index
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