Zheng Wang

Affiliations:
  • DiDi AI Labs, Beijing, China
  • Tsinghua University, Beijing, China


According to our database1, Zheng Wang authored at least 22 papers between 2008 and 2022.

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Bibliography

2022
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.
IEEE Trans. Intell. Transp. Syst., 2022

CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task.
IEEE Trans. Intell. Transp. Syst., 2022

2021
DiFNet: Densely High-Frequency Convolutional Neural Networks.
IEEE Signal Process. Lett., 2021

Multiplicative Attention Mechanism for Multi-horizon Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2021

FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Demand-Aware Route Planning for Shared Mobility Services.
Proc. VLDB Endow., 2020

Fusion Recurrent Neural Network.
CoRR, 2020

HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CompactETA: A Fast Inference System for Travel Time Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Road Network Metric Learning for Estimated Time of Arrival.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Learning to Estimate the Travel Time.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-task Representation Learning for Travel Time Estimation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2011
Active learning with adaptive regularization.
Pattern Recognit., 2011

2010
Homotopy Regularization for Boosting.
Proceedings of the ICDM 2010, 2010

Learning to rank tags.
Proceedings of the 9th ACM International Conference on Image and Video Retrieval, 2010

Compressed Learning with Regular Concept.
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009
Efficient Active Learning with Boosting.
Proceedings of the SIAM International Conference on Data Mining, 2009

Knowledge Transfer on Hybrid Graph.
Proceedings of the IJCAI 2009, 2009

2008
Transferred Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Distortion-Free Nonlinear Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008


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