Dynamic Taxi Ride Sharing using Localized Communication. - Haoxiang Yu; Vaskar Raychoudhury; Shrawani Silwal (ICDCN, 2020)

A Transfer Learning Approach to Surface Detection for Accessible Routing for Wheelchair Users. - Valeria Mokrenko; Haoxiang Yu; Vaskar Raychoudhury; Janick Edinger; Roger O. Smith; Md. Osman Gani (COMPSAC, 2021)

Dynamic Taxi Ride-Sharing Through Adaptive Request Propagation Using Regional Taxi Demand and Supply. - Haoxiang Yu; Vaskar Raychoudhury; Snehanshu Saha (MobiQuitous, 2021)

Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices. - Haoxiang Yu; Jie Hua 002; Christine Julien 001 (SenSys, 2021)

Dataset: Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices. - Haoxiang Yu; Jie Hua 002; Christine Julien 001 (CoRR, 2021)

Ranging of Confocal Endoscopy Probe Using Recognition and Optical Flow Algorithm. - Haoxiang Yu; Yuhua Lu; Qian Liu 003 (GPC, 2022)

ActiviSee: Activity Transition Detection for Human Users through Wearable Sensor-augmented Glasses. - Mrittika Raychoudhury; Haoxiang Yu; James D. Kiper (UbiComp/ISWC Adjunct, 2022)

CoPI: Enabling Probabilistic Conflict Prediction in Smart Space Through Context-awareness. - Jie Hua 002; Haoxiang Yu; Sangsu Lee; Hamim Md Adal; Colin Milhaupt; Gruia-Catalin Roman; Christine Julien 001 (IoTDI, 2022)

Study of Heterogeneous User Behavior in Crowd Evacuation in Presence of Wheelchair Users. - John Hata; Haoxiang Yu; Vaskar Raychoudhury; Snehanshu Saha; Huy Tran Quang (PAAMS, 2022)

Swarm: Playground for Large-scale Decentralized Learning Simulations. - Sangsu Lee; Haoxiang Yu; Xi Zheng 001; Christine Julien 001 (PerCom Workshops, 2022)

Prototyping Opportunistic Learning in Resource Constrained Mobile Devices. - Haoxiang Yu; Hsiao-Yuan Chen; Sangsu Lee; Xi Zheng 001; Christine Julien 001 (PerCom Workshops, 2022)

Demo Abstract: HybriSim - A Hybrid Simulation System for Distributed Machine Learning with Mobility. - Haoxiang Yu; James Xi Zheng; Christine Julien 001 (SenSys, 2023)

"Get ready for a party": Exploring smarter smart spaces with help from large language models. - Evan King; Haoxiang Yu; Sangsu Lee; Christine Julien 001 (CoRR, 2023)

iDML: Incentivized Decentralized Machine Learning. - Haoxiang Yu; Hsiao-Yuan Chen; Sangsu Lee; Sriram Vishwanath; James Xi Zheng; Christine Julien 001 (CoRR, 2023)

Cheating off your neighbors: Improving activity recognition through corroboration. - Haoxiang Yu; Jingyi An; Evan King; Edison Thomaz; Christine Julien 001 (CoRR, 2023)

Automated Surface Classification System Using Vibration Patterns - A Case Study With Wheelchairs. - Haoxiang Yu; Vaskar Raychoudhury; Snehanshu Saha; Janick Edinger; Roger O. Smith; Md. Osman Gani (IEEE Trans. Artif. Intell., 2023)

FedAccess: Federated Learning-Based Built Surface Recognition for Wheelchair Routing. - Rochishnu Banerjee; Ethan Han; Longze Li; Haoxiang Yu; Md. Osman Gani; Vaskar Raychoudhury; Roger O. Smith (COMPSAC, 2024)

Thoughtful Things: Building Human-Centric Smart Devices with Small Language Models. - Evan King; Haoxiang Yu; Sahil Vartak; Jenna Jacob; Sangsu Lee; Christine Julien 001 (CoRR, 2024)

Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models. - Evan King; Haoxiang Yu; Sangsu Lee; Christine Julien 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

AdaGen: Adaptive Generalized Knowledge Transfer Framework for Sensor-Based Surface Classification for Wheelchair Routing. - Vihaan Misra; Shivashankar S. Menon; Snehanshu Saha; Archana Mathur; Haoxiang Yu; Vaskar Raychoudhury (SN Comput. Sci., 2024)

Teaching Things To Think: Bootstrapping Local Reasoning for Smart(er) Devices. - Evan King; Haoxiang Yu; Sahil Vartak; Jenna Jacob; Sangsu Lee; Christine Julien 001 (PerCom, 2025)

ML Mule: Mobile-Driven Context-Aware Collaborative Learning. - Haoxiang Yu; Javier Berrocal; Christine Julien 001 (CoRR, 2025)