YaGuang Li (李亚光)
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
Patent
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