Biography

I am a research engineer in the Google Cloud AI team. I obtained my Ph.D. degree in Computer Science at the University of Southern California advised by Prof. Cyrus Shahabi and Prof. Yan Liu in 2019. Before that, I received the my Master degree in Computer Science from Institute of Software in University of Chinese Academy of Sciences in 2014, under the supervision of Prof. Zhiming Ding, and my B. Eng. degree from University of Science and Technology, Beijing in 2011, under the supervision of Prof. Xu-Cheng Yin.

My primary research interest lies in machine learning, spatiotemporal prediction and recommendation, deep learning on graphs with applications in transportation. My past research experiences include collaborative filtering, vehicle routing, ride-sharing, and map-matching. More information is available in my curriculum vitae and resume.

Publications

Refereed Conference Papers

• Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network
  Hongzhi Shi, Quanming Yao, Qi Guo, YaGuang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu
  IEEE International Conference on Data Engineering, (ICDE), 2020 (Research Track, Short Paper)
  
• AViC: A Cache for Adaptive Bitrate Video
  Zahaib Akhtar, YaGuang Li, Ramesh Govindan, Emir Halepovic, Shuai Hao, Yan Liu, Subhabrata Sen,
  The 15th International Conference on emerging Networking EXperiments and Technologies, (CoNEXT), 2019
  
• DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
  Mingxuan Yue, YaGuang Li, Haoze Yang, Ritesh Ahuja, Yao-yi Chiang, and Cyrus Shahabi
  IEEE International Conference on Big Data, (IEEE Bigdata), 2019
  
• CoSTCo: A Neural Tensor Completion Model for Sparse Tensors
  Hanpeng Liu, YaGuang Li, Michael Tsang, Yan Liu
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (KDD), 2019 (Research Track, Oral Presentation)
  [Paper] [Video] [Code]
• Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting
  YaGuang Li*, Xu Geng*, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye and Yan Liu (*Equal Contribution)
  The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019 (Oral Presentation)
  [Paper] [Poster] [Slides]
• Multi-task Representation Learning for Travel Time Estimation
  YaGuang Li, Kun Fu, Zheng Wang, Cyrus Shahabi, Jieping Ye and Yan Liu
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (KDD), 2018 (Research Track)
  [Paper] [Video] [Poster]
• Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
  YaGuang Li, Rose Yu, Cyrus Shahabi and Yan Liu
  International Conference on Learning Representations, (ICLR), 2018
  [Paper] [Code] [Slides] [Poster]
• Exploiting Spatiotemporal Patterns for Accurate Air Quality Forecasting using Deep Learning
  Yijun Lin, Nikhit Mago, Yu Gao, YaGuang Li, Yao-Yi Chiang, José Luis Ambite and Cyrus Shahabi.
  ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), 2018
  [Paper]
• Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting
  YaGuang Li*, Rose Yu*, Cyrus Shahabi, Ugur Demiryurek and Yan Liu (*Equal Contribution)
  Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), 2017 (Best paper Nomination)
  [Paper]
• PaRE: A System for Personalized Route Guidance
  YaGuang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, and Cyrus Shahabi.
  Proceedings of the 26th International Conference on World Wide Web (WWW), 2017
  [Paper]
• PerNav: A Route Summarization Framework for Personalized Navigation
  YaGuang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Kai Zeng, and Cyrus Shahabi.
  ACM SIGMOD International Conference on Management of Data (demonstration) (SIGMOD), 2016
  [Paper]
• Price-aware Real-time Ridesharing at Scale - An Auction-based Approach
  Mohammad Asghari, Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, YaGuang Li.
  International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), 2016
  [Paper]
• Towards Fast and Accurate Solutions to Vehicle Routing in a Large-Scale and Dynamic Environment
  YaGuang Li, Dingxiong Deng, Ugur Demiryurek, Cyrus Shahabi, Siva Ravada.
  14th International Symposium on Spatial and Temporal Databases (SSTD), 2015
  [Paper] [Demonstration] [Slides]
• Benchmarking big data for trip recommendation
  Kuien Liu, YaGuang Li, Zhiming Ding, Shuo Shang, Kai Zheng.
  International Conference on Computer Communication and Networks (ICCCN), 2014
  [Paper]
• On Efficient Map-matching According to Intersections You Pass By
  YaGuang Li, Chengfei Liu, Kuien Liu, JiaJie Xu, Fengcheng He, Zhiming Ding.
  International Conference on Database and Expert Systems Applications (DEXA), 2013
  [Paper] [ACM Dataset]
• MOIR/uots: Trip recommendation with user oriented trajectory search
  Kuien Liu, Bin Yang, Shuo Shang, YaGuang Li, Zhiming Ding.
  International Conference on Mobile Data Management (MDM), 2013
  [Paper]
• Effective Map-matching on the Most Simplified Road Network
  Kuien Liu, YaGuang Li, Fengcheng He, Jiajie Xu, Zhiming Ding.
  International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS) 2012
  [Paper] [Code] [Slides] [Poster]

Journal Papers

• A Brief Overview of Machine Learning Methods for Short-term Traffic Forecasting and Future Directions
  YaGuang Li, Cyrus Shahabi
  SIGSPATIAL Special, 2018
  [Paper]
• Network-Matched Trajectory-Based Moving-Object Database: Models and Applications
  Zhiming Ding, Bin Yang, Ralf Hartmut Guting, YaGuang Li
  IEEE Transactions on Intelligent Transportation Systems (TITS), 2015
  [Paper]

Patent

• Parallel Data Processing Method based on Distributed Structure (一种基于分布式结构的并行数据处理方法)
  Haoming Guo, Zhiming Ding, Kuien Liu, Jiajie Xu, Huaiye Xu, YaGuang Li, Tianwei Zhang.
  CN Patent, CN103412897BIssued 2017
  

Workshop Papers

• Structure-informed Graph Auto-encoder for Relational Inference and Simulation
  YaGuang Li, Chuizheng Meng, Cyrus Shahabi and Yan Liu
  ICML Workshops on Learning and Reasoning with Graph-Structured Representations, 2019
• Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
  YaGuang Li, Rose Yu, Cyrus Shahabi and Yan Liu
  NIPS Time Series Workshop, 2017 (Oral Presentation)
• Compressing large scale urban trajectory data
  Kuien Liu, YaGuang Li, Jian Dai, Shuo Shang, Kai Zheng.
  International Workshop on Cloud Data and Platforms (CloudDP@EuroSys), 2014
  

Honors and Awards

• Annenberg Graduate Ph.D. Fellowship
  University of Southern California, 2014 - 2019
  
• KDD Student Travel Award
  Alaska, United States, 2019
  
• Best Research Assistant
  University of Southern California, 2018
  
• KDD Student Travel Award
  London, United Kingdom, 2018
  
• ICLR Travel Award
  Vancouver, Canada, 2018
  
• NIPS TSW Travel Award
  Los Angeles, US, 2017
  
• Outstanding Graduate of University of Chinese Academy of Sciences
  Beijing, China, 2014
  
• Pivot of Merit Student of University of Chinese Academy of Sciences
  Beijing, China, 2014
  
• National Scholarship
  Beijing, China, 2011, 2014
  
• ACM SIGSPATIAL GIS CUP
  Redondo Beach, US, 2012
  
• Outstanding University Graduate of Beijing Province
  Beijing, China, 2011
  

Working Experience

• Google Cloud AI
  Research Engineer, Sunnyvale, CA, US, 2019.08 - Present
  
• DiDi Chuxing AI Labs
  Visiting Student / Research Intern, Beijing, China, 2017.12 - 2018.2, 2018.5 - 2018.8
  
• Facebook Inc. Applied Machine Learning
  Software Engineering Intern, Menlo Park, US, 2017.5 - 2017.8
  
• Google Inc. Maps/GeoData
  Software Engineering Intern, New York, US, 2016.5 - 2016.8
  
• Google Inc. Chrome/App
  Software Engineering Intern, Montreal, CA, 2015.5 - 2015.8
  
• VMWare Inc.
  Software Engineering Intern, Beijing, China, 2012.4 - 2012.7
  

Academic Service

• Web Chair: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
• Co-organizer: SIGKDD Workshop on Mining and Learning from Time Series (MiLeTS), 2018, 2019, 2020
• Web Chair: International Conference on Web Search and Data Mining (WSDM), 2018
• Conference Reviewer: ICML 2019, ICLR 2020, IJCAI 2018, VLDB 2016-2017, SIGMOD 2015
• Journal Reviewer: Transportation Research Part C, IEEE TKDE 2019, IEEE TITS 2016-2019, IEEE TIST 2019, IEEE ToWC 2019, GeoInformatica 2019, JCST 2019

Miscellaneous Links

• Google Scholar
  
• LinkedIn