Rental Housing Spot Markets: How Online Information Exchanges Can Supplement Transacted-Rents Data. - Geoff Boeing; Jake Wegmann; Junfeng Jiao (CoRR, 2020)

Understanding the Shared E-scooter Travels in Austin, TX. - Junfeng Jiao; Shunhua Bai (ISPRS Int. J. Geo Inf., 2020)

Using Open Source Data to Identify Transit Deserts in Four Major Chinese Cities. - Junfeng Jiao; Mingming Cai (ISPRS Int. J. Geo Inf., 2020)

Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning. - Junfeng Jiao; Seung-Jun Choi; Weijia Xu (IEEE BigData, 2021)

Predicting and mapping neighborhood-scale health outcomes: A machine learning approach. - Chen Feng; Junfeng Jiao (Comput. Environ. Urban Syst., 2021)

Longitudinal Social Impacts of HRI over Long-Term Deployments. - Justin W. Hart; Elliott Hauser; Samuel Baker; Joydeep Biswas; Junfeng Jiao; Luis Sentis (HRI, 2022)

Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA. - Manmeet Singh; Nachiketa Acharya; Sajad Jamshidi; Junfeng Jiao; Zong-Liang Yang; Marc Coudert; Zach Baumer; Dev Niyogi (CoRR, 2022)

"What's That Robot Doing Here?": Perceptions Of Incidental Encounters With Autonomous Quadruped Robots. - 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; et al. (TAS, 2023)

Learning Contact-based Navigation in Crowds. - Kyle Morgenstein; Junfeng Jiao; Luis Sentis (CoRR, 2023)

ComputeGPT: A computational chat model for numerical problems. - Ryan Hardesty Lewis; Junfeng Jiao (CoRR, 2023)

Is the relationship between bus and light rail transit a competition substitution or a congestion substitution? An empirical study in Seattle. - Junfeng Jiao; Yefu Chen (Public Transp., 2023)

Operational Cost Optimization of Delivery Fleets Consisting of Mobile Robots and Electric Trucks. - Hyunjin Ahn; Huihai Wang; Ji Hwan Park; Xingyu Zhou; Junfeng Jiao; Junmin Wang (IV, 2024)

Testing the Capability of AI Art Tools for Urban Design. - Connor Phillips; Junfeng Jiao; Emmalee Clubb (IEEE Computer Graphics and Applications, 2024)

Navigating LLM Ethics: Advancements, Challenges, and Future Directions. - Junfeng Jiao; Saleh Afroogh; Yiming Xu; Connor Phillips (CoRR, 2024)

The global landscape of academic guidelines for generative AI and Large Language Models. - Junfeng Jiao; Saleh Afroogh; Kevin Chen; David Atkinson; Amit Dhurandhar (CoRR, 2024)

Fire and smoke digital twin - A computational framework for modeling fire incident outcomes. - Ryan Hardesty Lewis; Junfeng Jiao; Kijin Seong; Arya Farahi; Paul A. Navrátil; Nate Casebeer; Dev Niyogi (Comput. Environ. Urban Syst., 2024)

AI-FEED: Prototyping an AI-Powered Platform for the Food Charity Ecosystem. - Marcus Sammer; Kijin Seong; Norma Olvera; Susie Gronseth; Elizabeth Anderson-Fletcher; Junfeng Jiao; Alison Reese; Ioannis A. Kakadiaris (Int. J. Comput. Intell. Syst., 2024)

Uncovering electric vehicle ownership disparities using K-means clustering analysis: A case study of Austin, Texas. - Seung-Jun Choi; Junfeng Jiao (J. Comput. Soc. Sci., 2024)

RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving. - Yujin Wang; Quanfeng Liu; Zhengxin Jiang; Tianyi Wang; Junfeng Jiao; Hongqing Chu; Bingzhao Gao; Hong Chen 003 (CVPR Workshops, 2025)

Towards the next generation of Geospatial Artificial Intelligence. - Gengchen Mai; Yiqun Xie; Xiaowei Jia; Ni Lao; Jinmeng Rao; Qing Zhu; Zeping Liu; Yao-Yi Chiang; Junfeng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Generative AI and LLMs in Industry: A text-mining Analysis and Critical Evaluation of Guidelines and Policy Statements Across Fourteen Industrial Sectors. - Junfeng Jiao; Saleh Afroogh; Kevin Chen; David Atkinson; Amit Dhurandhar (CoRR, 2025)

IGGA: A Dataset of Industrial Guidelines and Policy Statements for Generative AIs. - Junfeng Jiao; Saleh Afroogh; Kevin Chen; David Atkinson; Amit Dhurandhar (CoRR, 2025)

AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models. - Junfeng Jiao; Saleh Afroogh; Kevin Chen; David Atkinson; Amit Dhurandhar (CoRR, 2025)

LLMs and Childhood Safety: Identifying Risks and Proposing a Protection Framework for Safe Child-LLM Interaction. - Junfeng Jiao; Saleh Afroogh; Kevin Chen; Abhejay Murali; David Atkinson; Amit Dhurandhar (CoRR, 2025)

Mapping out AI Functions in Intelligent Disaster (Mis)Management and AI-Caused Disasters. - Yasser Pouresmaeil; Saleh Afroogh; Junfeng Jiao (CoRR, 2025)

Damper-B-PINN: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Vehicle State Estimation. - Tianyi Zeng; Tianyi Wang; Junfeng Jiao; Xinbo Chen (CoRR, 2025)

A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models. - Miao Zhang; Zhenlong Fang; Tianyi Wang; Qian Zhang; Shuai Lu; Junfeng Jiao; Tianyu Shi (CoRR, 2025)

GAIR: Improving Multimodal Geo-Foundation Model with Geo-Aligned Implicit Representations. - Zeping Liu; Fan Zhang; Junfeng Jiao; Ni Lao; Gengchen Mai (CoRR, 2025)

LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models. - Junfeng Jiao; Saleh Afroogh; Abhejay Murali; Kevin Chen; David Atkinson; Amit Dhurandhar (CoRR, 2025)

SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance. - Junfeng Jiao; Jihyung Park; Yiming Xu; Kristen Sussman; Lucy Atkinson (CoRR, 2025)

Investigating Robotaxi Crash Severity Using Geographical Random Forest. - Junfeng Jiao; Seung Gyu Baik; Seung Jun Choi; Yiming Xu (CoRR, 2025)

Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions. - Junfeng Jiao; Saleh Afroogh; Kevin Chen; Abhejay Murali; David Atkinson; Amit Dhurandhar (CoRR, 2025)

BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios. - Liyang Yu; Tianyi Wang; Junfeng Jiao; Fengwu Shan; Hongqing Chu; Bingzhao Gao (CoRR, 2025)

TGLD: A Trust-Aware Game-Theoretic Lane-Changing Decision Framework for Automated Vehicles in Heterogeneous Traffic. - Jie Pan; Tianyi Wang; Yangyang Wang; Junfeng Jiao; Christian Claudel (CoRR, 2025)

HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways. - Tianyi Wang; Yangyang Wang; Jie Pan; Junfeng Jiao; Christian Claudel (CoRR, 2025)