I’m interested in the intersection of machine learning and applied science. I extensively work with researchers from various backgrounds (e.g., computer science, transportation, operation research, mechanical/aerospace engineering) on projects that integrate learning with domain information. The practical concerns of real-world applications provide insights on the limitations of existing machine learning, and advances AI towards composable models robust to domain shifts and intervention.
[Publications] [Talks] [Patents] [Technical Reports] [Competitive Proposals]
Publications
Learning Temporally Causal Latent Processes from General Temporal Data
Weiran Yao*, Yuewen Sun*, Alex Ho, Changyin Sun, Kun Zhang
Submitted to International Conference on Learning Representations (ICLR) 2022
[PDF] [Code]Data-Driven Safety Risk Prediction of Lithium-Ion Battery
Yikai Jia, Jiani Li, Chunhao Yuan, Xiang Gao, Weiran Yao, Minwoo Lee, Jun Xu
Advanced Energy Materials (AEM: IF=29.37)
[PDF] [Code]From Twitter to traffic predictor: Next-day morning traffic prediction using social media data
Weiran Yao, Sean Qian
Transportation Research Part C: Emerging Technologies
[PDF] [News] [Slides]Learning a distributed control scheme for demand flexibility in thermostatically controlled loads
Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés
2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
[PDF] [Paper Awards]Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction
Weiran Yao, Sean Qian
Transportation Research Record (TRR)
[PDF] [Project Spinoff] [Poster]High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data
Ning Hong, Lishuai Li, Weiran Yao, Yang Zhao, Cai Yi, Jianhui Lin, Kowk Leung Tsui
IEEE Transactions on Intelligent Transportation Systems
[PDF] [Code]Condition monitoring of wheel wear for high-speed trains: A data-driven approach
Peiwen Xu, Weiran Yao, Yang Zhao, Cai Yi, Lishuai Li, Jianhui Lin, Kowk Leung Tsui
International Conference on Prognostics and Health Management (PHM)
[PDF] [Code]Prediction of Benefits of Special Taxi-Pooling Design for Large Transport Terminals: Case Study of Beijing West Railway Station
Weiran Yao, Ying Wang, Ning Wang, Gang Yang, Cheng Zhang
Transportation Research Record (TRR)
[PDF] [Code]
Talks
Predictive Analytics for Optimal Decisions: Examples in Real-time Traffic Management and Mobility Services
Sean Qian, Weiran Yao, Rich Grahn
U.S. Department of Transportation (USDOT) T3e Webinars
[Archive] [Slides]Mobility Data Analytics Center
Weiran Yao, Sean Qian
Traffic21/Mobility21 University Transportation Center Deployment Partner Consortium Symposium
[Archive] [Poster]
Patents
Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction
Weiran Yao, Sean Qian
IP Applied by TraffiQure LLCLearning a distributed control scheme for demand flexibility in thermostatically controlled loads
Jonathan Francis, Bingqing Chen, Weiran Yao,
Provisional PatentTransportation hub-based method for designing and achieving taxi carpooling mechanism
Ying Wang, Cheng Zhang, Gang Yang, Weiran Yao, Ning Wang
CN Patent 201510162172
Technical Reports
Real-Time Traffic Monitoring and Prediction for Cranberry Township
Weiran Yao, Sean Qian
National University Transportation Center for Improving Mobility (Mobility21)
[Record] [PDF]User-Centric Interdependent Urban Systems: Using Energy Use Data and Social Media Data to Improve Mobility
Sean Qian, Weiran Yao, Pinchao Zhang
Technologies for Safe and Efficient Transportation University Transportation Center (TSET)
[Record] [PDF]
Competitive Proposals
Predictive Real-time Traffic Management in Large-Scale Networks Using Model-based AI
Weiran Yao, Sean Qian, Yuejie Chi
Federal Highway Administration (FHWA) Exploratory Advanced Research Fund
[Award]A Data-Driven Solution to Commute Sharing for Large Campuses: CMU pilot study
Weiran Yao, Sean Qian
Carnegie Bosch Institute (CBI) Research Funds