YaGuang Li (李亚光)
YaGuang Li (李亚光)
Google Cloud AI; University of Southern California
Verifierad e-postadress på google.com - Startsida
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Citeras av
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Y Li, R Yu, C Shahabi, Y Liu
International Conference on Learning Representations (ICLR), 2018
Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting
Y Li*, R Yu*, C Shahabi, U Demiryurek, Y Liu
Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), 2017
Effective map-matching on the most simplified road network
K Liu, Y Li, F He, J Xu, Z Ding
Proceedings of the 20th International Conference on Advances in Geographic …, 2012
Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting
Y Li*, X Geng*, L Wang, L Zhang, Q Yang, J Ye, Y Liu
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
Multi-task representation learning for travel time estimation
Y Li, K Fu, Z Wang, C Shahabi, J Ye, Y Liu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Price-aware Real-time Ride-sharing at Scale-An Auction-based Approach
M Asghari, D Deng, C Shahabi, U Demiryurek, Y Li
International Conference on Advances in Geographic Information Systems, 2016, 2016
Network-Matched Trajectory-Based Moving-Object Database: Models and Applications
Z Ding, B Yang, RH Guting, Y Li
IEEE Transactions on Intelligent Transportation Systems 16, 1918-1928, 2015
Compressing large scale urban trajectory data
K Liu, Y Li, J Dai, S Shang, K Zheng
Proceedings of the Fourth International Workshop on Cloud Data and Platforms …, 2014
Exploiting Spatiotemporal Patterns for Accurate Air Quality Forecasting using Deep Learning
Y Lin, N Mago, Y Gao, Y Li, YY Chiang, C Shahabi, JL Ambite
PaRE: A System for Personalized Route Guidance
Y Li, H Su, U Demiryurek, B Zheng, T He, C Shahabi
Proceedings of the 26th International Conference on World Wide Web, 2017
On efficient map-matching according to intersections you pass by
Y Li, C Liu, K Liu, J Xu, F He, Z Ding
International Conference on Database and Expert Systems Applications, 42-56, 2013
Towards fast and accurate solutions to vehicle routing in a large-scale and dynamic environment
Y Li, D Deng, U Demiryurek, C Shahabi, S Ravada
International Symposium on Spatial and Temporal Databases, 119-136, 2015
MOIR/UOTS: trip recommendation with user oriented trajectory search
K Liu, B Yang, S Shang, Y Li, Z Ding
2013 IEEE 14th International Conference on Mobile Data Management 1, 335-337, 2013
A brief overview of machine learning methods for short-term traffic forecasting and future directions
Y Li, C Shahabi
SIGSPATIAL Special 10 (1), 3-9, 2018
PerNav: A Route Summarization Framework for Personalized Navigation
Y Li, H Su, U Demiryurek, B Zheng, K Zeng, C Shahabi
ACM SIGMOD International Conference on Management of Data, 2016
Benchmarking big data for trip recommendation
K Liu, Y Li, Z Ding, S Shang, K Zheng
23rd International Conference on Computer Communication and Networks (ICCCN …, 2014
Structure-informed Graph Auto-encoder for Relational Inference and Simulation
Y Li, C Meng, C Shahabi, Y Liu
ICML Workshop on Learning and Reasoning with Graph-Structured Representations, 2019
AViC: a cache for adaptive bitrate video
Z Akhtar, Y Li, R Govindan, E Halepovic, S Hao, Y Liu, S Sen
Proceedings of the 15th International Conference on Emerging Networking …, 2019
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
M Yue, Y Li, H Yang, R Ahuja, YY Chiang, C Shahabi
IEEE International Conference on Big Data, (IEEE Bigdata), 2019
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network
H Shi, Q Yao, Q Guo, Y Li, L Zhang, J Ye, Y Li, Y Liu
IEEE International Conference on Data Engineering (ICDE), 2020
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