Dong Wang

Affiliations:
  • Duke University, Durham, NC, USA
  • Tsinghua University, Beijing, China (former)


According to our database1, Dong Wang authored at least 17 papers between 2016 and 2022.

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Timeline

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Bibliography

2022
Learning to Weight Filter Groups for Robust Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Gradient Importance Learning for Incomplete Observations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Imputation-Free Learning from Incomplete Observations.
CoRR, 2021

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization.
CoRR, 2021

Wasserstein Contrastive Representation Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Syntactic Knowledge-Infused Transformer and BERT Models.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models.
CoRR, 2020

2019
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding.
CoRR, 2019

LMVP: Video Predictor with Leaked Motion Information.
CoRR, 2019

On Fenchel Mini-Max Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
BRITS: Bidirectional Recurrent Imputation for Time Series.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Automatic user identification method across heterogeneous mobility data sources.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

DESTPRE: a data-driven approach to destination prediction for taxi rides.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

ETCPS: An Effective and Scalable Traffic Condition Prediction System.
Proceedings of the Database Systems for Advanced Applications, 2016


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